o3.fan
Сайт ↗1600+ моделей OneAPI: map-pricing, один из крупнейших каталогов
- Моделей
- 1251
- Средняя цена
- ₽1 153/M
- Регион
- Зарубежный · сайт на китайский
- Оплата
- USD (доллары), PayPal
- Биллинг
- за токены
- API
- OpenAI-compatible
Сайт на китайском · Ratio/map pricing — см. блок «Как считаются цены»
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
1251 моделей
Текст и чат
оплата за токены · 800
▼
Текст и чат
оплата за токены · 800
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| search serper | search serper | ₽0.0002/M | ₽0.0002/M | ₽0 |
| Llama 3.1 8B Instant | llama 3.1 8b instant | ₽0.0005/M | ₽0.0005/M | ₽0 |
| llama 3.2 11b text preview | llama 3.2 11b text preview | ₽0.0005/M | ₽0.0005/M | ₽0 |
| Llama 3.2 11B Vision Preview | meta llama | ₽0.0005/M | ₽0.0005/M | ₽0 |
| Llama 3.2 1B Preview | meta llama | ₽0.0005/M | ₽0.0005/M | ₽0 |
| Llama 3.2 3B Preview | meta llama | ₽0.0005/M | ₽0.0005/M | ₽0 |
| llama guard 3 8b | meta llama | ₽0.0005/M | ₽0.0005/M | ₽0 |
| Llama3 Groq 8B 8192 Tool Use Preview | llama3 groq 8b 8192 tool use preview | ₽0.0018/M | ₽0.0018/M | ₽0 |
| Llama 3.1 70B Versatile | llama 3.1 70b versatile | ₽0.0057/M | ₽0.0057/M | ₽0 |
| llama 3.2 90b text preview | llama 3.2 90b text preview | ₽0.0057/M | ₽0.0057/M | ₽0 |
| Llama 3.1 405B (reasoning) | llama 3.1 405b reasoning | ₽0.0085/M | ₽0.0085/M | ₽0 |
| Llama3 Groq 70B 8192 Tool Use Preview | llama3 groq 70b 8192 tool use preview | ₽0.0085/M | ₽0.0085/M | ₽0 |
| gemma2 9b it | gemma2 9b it | ₽0.02/M | ₽0.02/M | ₽0 |
| search gpts chat | search gpts chat | ₽0.02/M | ₽0.02/M | ₽0 |
| tongyi embedding vision flash | tongyi embedding vision flash | ₽0.03/M | ₽0.03/M | ₽1 |
| tongyi embedding vision plus | tongyi embedding vision plus | ₽0.07/M | ₽0.07/M | ₽2 |
| qwen2.5 vl embedding | qwen2.5 vl embedding | ₽0.26/M | ₽0.26/M | ₽6 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽0.48/M | ₽0.96/M | ₽14 |
| gpt 4o mini transcribe | gpt 4o mini transcribe | ₽0.43/M | ₽1.73/M | ₽17 |
| ERNIE Lite 8K | ERNIE Lite 8K | ₽0.96/M | ₽0.96/M | ₽24 |
| ERNIE Speed 128K | ERNIE Speed 128K | ₽0.96/M | ₽0.96/M | ₽24 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽0.96/M | ₽0.96/M | ₽24 |
| Qwen2 1.5b Instruct | Qwen | ₽0.96/M | ₽0.96/M | ₽24 |
| text embedding async v1 | text embedding async v1 | ₽0.96/M | ₽0.96/M | ₽24 |
| codegeex 4 | codegeex 4 | ₽0.98/M | ₽0.98/M | ₽25 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽0.98/M | ₽0.98/M | ₽25 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽0.98/M | ₽0.98/M | ₽25 |
| GLM 4 Flash | glm 4 flash | ₽0.98/M | ₽0.98/M | ₽25 |
| glm 4 flashx | glm 4 flashx | ₽0.98/M | ₽0.98/M | ₽25 |
| glm 4v flash | glm 4v flash | ₽0.98/M | ₽0.98/M | ₽25 |
| GLM Z1 Flash | GLM Z1 Flash | ₽0.98/M | ₽0.98/M | ₽25 |
| hunyuan lite | hunyuan lite | ₽0.98/M | ₽0.98/M | ₽25 |
| Jina Embeddings V3 | jina embeddings v3 | ₽0.98/M | ₽0.98/M | ₽25 |
| Mistral Embed | mistral embed | ₽0.96/M | ₽2.88/M | ₽34 |
| embedding_s1_v1 | embedding_s1_v1 | ₽1.37/M | ₽1.37/M | ₽34 |
| semantic_similarity_s1_v1 | semantic_similarity_s1_v1 | ₽1.37/M | ₽1.37/M | ₽34 |
| gpt 4o transcribe | gpt 4o transcribe | ₽0.86/M | ₽3.45/M | ₽35 |
| text embedding 3 small | openai | ₽1.44/M | ₽1.44/M | ₽36 |
| jina clip v1 | jina clip v1 | ₽1.48/M | ₽1.48/M | ₽37 |
| jina colbert v1 en | jina colbert v1 en | ₽1.48/M | ₽1.48/M | ₽37 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽1.48/M | ₽1.48/M | ₽37 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽1.48/M | ₽1.48/M | ₽37 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽1.48/M | ₽1.48/M | ₽37 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽1.48/M | ₽1.48/M | ₽37 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽1.48/M | ₽1.48/M | ₽37 |
| Jina Reranker M0 | jina reranker m0 | ₽1.48/M | ₽1.48/M | ₽37 |
| jina reranker v1 base en | jina reranker v1 base en | ₽1.48/M | ₽1.48/M | ₽37 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽1.48/M | ₽1.48/M | ₽37 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽1.48/M | ₽1.48/M | ₽37 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽1.48/M | ₽1.48/M | ₽37 |
| bge-base-en-v1.5 | baai | ₽1.92/M | ₽1.92/M | ₽48 |
| chatglm3 6b | THUDM | ₽1.92/M | ₽1.92/M | ₽48 |
| internlm2_5 7b chat | internlm | ₽1.92/M | ₽1.92/M | ₽48 |
| msmarco bert base dot v5 | msmarco bert base dot v5 | ₽1.92/M | ₽1.92/M | ₽48 |
| Qwen2 7B Instruct | Qwen | ₽1.92/M | ₽1.92/M | ₽48 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽1.92/M | ₽1.92/M | ₽48 |
| Text Moderation 007 | text moderation 007 | ₽1.92/M | ₽1.92/M | ₽48 |
| Yi 1.5 6B Chat | 01 ai | ₽1.92/M | ₽1.92/M | ₽48 |
| tts 1 | openai | ₽2.16/M | ₽2.16/M | ₽54 |
| Tts 1 1106 | tts 1 1106 | ₽2.16/M | ₽2.16/M | ₽54 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽1.97/M | ₽3.94/M | ₽59 |
| open mistral 7b | open mistral 7b | ₽2.40/M | ₽2.40/M | ₽60 |
| mixtral 8x7b 32768 | mixtral 8x7b 32768 | ₽2.49/M | ₽2.49/M | ₽62 |
| Chatglm_lite | chatglm_lite | ₽2.73/M | ₽2.73/M | ₽68 |
| glm 4 9b chat | THUDM | ₽2.88/M | ₽2.88/M | ₽72 |
| gpt 4o mini tts | openai | ₽2.16/M | ₽8.63/M | ₽86 |
| Doubao Lite 32K | Doubao lite 32k | ₽2.88/M | ₽5.75/M | ₽86 |
| Doubao Lite 4K | Doubao lite 4k | ₽2.88/M | ₽5.75/M | ₽86 |
| Llama3 8B 8192(33) | llama3 8b 8192(33) | ₽2.88/M | ₽5.75/M | ₽86 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽2.96/M | ₽5.91/M | ₽89 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽2.96/M | ₽5.91/M | ₽89 |
| ERNIE Character 8K | ERNIE Character 8K | ₽2.96/M | ₽5.91/M | ₽89 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽2.96/M | ₽5.91/M | ₽89 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽2.96/M | ₽5.91/M | ₽89 |
| Qwen Turbo | qwen turbo | ₽2.96/M | ₽5.91/M | ₽89 |
| Ascend · DeepSeek-V3 | Ascend | ₽3.84/M | ₽3.84/M | ₽96 |
| Bge Large En V1.5 | BAAI | ₽3.84/M | ₽3.84/M | ₽96 |
| Llama 3.2 3B Instruct Turbo | meta llama | ₽3.84/M | ₽3.84/M | ₽96 |
| UAE Large V1 | UAE Large V1 | ₽3.84/M | ₽3.84/M | ₽96 |
| yi spark | yi spark | ₽3.84/M | ₽3.84/M | ₽96 |
| tts 1 hd | openai | ₽4.31/M | ₽4.31/M | ₽108 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽4.31/M | ₽4.31/M | ₽108 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽2.88/M | ₽11.51/M | ₽115 |
| Qwen3 0.6b | qwen3 0.6b | ₽2.96/M | ₽11.82/M | ₽118 |
| Qwen3 1.7b | qwen3 1.7b | ₽2.96/M | ₽11.82/M | ₽118 |
| Qwen3 4B | qwen3 4b | ₽2.96/M | ₽11.82/M | ₽118 |
| chronos hermes 13b | chronos hermes 13b | ₽4.79/M | ₽4.79/M | ₽120 |
| Code Davinci Edit 001 | code davinci edit 001 | ₽4.79/M | ₽4.79/M | ₽120 |
| CodeLlama 13b Instruct hf | CodeLlama 13b Instruct hf | ₽4.79/M | ₽4.79/M | ₽120 |
| CodeLlama 7b Instruct hf | CodeLlama 7b Instruct hf | ₽4.79/M | ₽4.79/M | ₽120 |
| dbrx instruct | dbrx instruct | ₽4.79/M | ₽4.79/M | ₽120 |
| Doubao embedding | Doubao embedding | ₽4.79/M | ₽4.79/M | ₽120 |
| gemma 2b it | gemma 2b it | ₽4.79/M | ₽4.79/M | ₽120 |
| Gemma 7B It | gemma 7b it | ₽4.79/M | ₽4.79/M | ₽120 |
| Llama 2 13b chat hf | Llama 2 13b chat hf | ₽4.79/M | ₽4.79/M | ₽120 |
| Llama 2 7B 32K Instruct | Llama 2 7B 32K Instruct | ₽4.79/M | ₽4.79/M | ₽120 |
| Llama 2 7b chat hf | Llama 2 7b chat hf | ₽4.79/M | ₽4.79/M | ₽120 |
| Llama 3 8b chat hf | Llama 3 8b chat hf | ₽4.79/M | ₽4.79/M | ₽120 |
| Meta Llama 3 8B Instruct Lite | Meta Llama 3 8B Instruct Lite | ₽4.79/M | ₽4.79/M | ₽120 |
| Mistral 7B Instruct v0.1 | Mistral 7B Instruct v0.1 | ₽4.79/M | ₽4.79/M | ₽120 |
| Mistral 7B Instruct v0.2 | Mistral 7B Instruct v0.2 | ₽4.79/M | ₽4.79/M | ₽120 |
| Mistral 7B Instruct v0.3 | Mistral 7B Instruct v0.3 | ₽4.79/M | ₽4.79/M | ₽120 |
| Mistral 7B OpenOrca | Mistral 7B OpenOrca | ₽4.79/M | ₽4.79/M | ₽120 |
| mistralai · Mistral-7B-Instruct-v0.3 | mistralai | ₽4.79/M | ₽4.79/M | ₽120 |
| Mythomax L2 13B | Gryphe | ₽4.79/M | ₽4.79/M | ₽120 |
| Nous Capybara 7B V1p9 | Nous Capybara 7B V1p9 | ₽4.79/M | ₽4.79/M | ₽120 |
| Nous Hermes 2 Mistral 7B DPO | Nous Hermes 2 Mistral 7B DPO | ₽4.79/M | ₽4.79/M | ₽120 |
| Nous Hermes llama 2 7b | Nous Hermes llama 2 7b | ₽4.79/M | ₽4.79/M | ₽120 |
| Nous Hermes Llama2 13b | Nous Hermes Llama2 13b | ₽4.79/M | ₽4.79/M | ₽120 |
| OLMo 7B | OLMo 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| OLMo 7B Twin 2T | OLMo 7B Twin 2T | ₽4.79/M | ₽4.79/M | ₽120 |
| openchat 3.5 1210 | openchat 3.5 1210 | ₽4.79/M | ₽4.79/M | ₽120 |
| OpenGVLab · InternVL2-26B | OpenGVLab | ₽4.79/M | ₽4.79/M | ₽120 |
| OpenHermes 2 Mistral 7B | OpenHermes 2 Mistral 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| OpenHermes 2p5 Mistral 7B | OpenHermes 2p5 Mistral 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| Qwen1.5 4B Chat | Qwen1.5 4B Chat | ₽4.79/M | ₽4.79/M | ₽120 |
| RedPajama INCITE 7B Chat | RedPajama INCITE 7B Chat | ₽4.79/M | ₽4.79/M | ₽120 |
| ReMM SLERP L2 13B | ReMM SLERP L2 13B | ₽4.79/M | ₽4.79/M | ₽120 |
| Snorkel Mistral PairRM DPO | Snorkel Mistral PairRM DPO | ₽4.79/M | ₽4.79/M | ₽120 |
| snowflake arctic instruct | snowflake arctic instruct | ₽4.79/M | ₽4.79/M | ₽120 |
| SOLAR 10.7B Instruct v1.0 | SOLAR 10.7B Instruct v1.0 | ₽4.79/M | ₽4.79/M | ₽120 |
| StripedHyena Nous 7B | StripedHyena Nous 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| Text Moderation | text moderation latest | ₽4.79/M | ₽4.79/M | ₽120 |
| Text Moderation Stable | text moderation stable | ₽4.79/M | ₽4.79/M | ₽120 |
| Toppy M 7B | Toppy M 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| vicuna 13b v1.5 | vicuna 13b v1.5 | ₽4.79/M | ₽4.79/M | ₽120 |
| vicuna 7b v1.5 | vicuna 7b v1.5 | ₽4.79/M | ₽4.79/M | ₽120 |
| WizardLM 13B V1.2 | WizardLM 13B V1.2 | ₽4.79/M | ₽4.79/M | ₽120 |
| Yi 1.5 34B Chat | Yi 1.5 34B Chat | ₽4.79/M | ₽4.79/M | ₽120 |
| Yi 1.5 9B Chat | Yi 1.5 9B Chat | ₽4.79/M | ₽4.79/M | ₽120 |
| Yi 1.5 9B Chat 16K | Yi 1.5 9B Chat 16K | ₽4.79/M | ₽4.79/M | ₽120 |
| Bce Reranker Base | bce reranker base | ₽4.93/M | ₽4.93/M | ₽123 |
| Bge Large En | bge large en | ₽4.93/M | ₽4.93/M | ₽123 |
| Bge Large Zh | bge large zh | ₽4.93/M | ₽4.93/M | ₽123 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽4.93/M | ₽4.93/M | ₽123 |
| Embedding 2 | embedding 2 | ₽4.93/M | ₽4.93/M | ₽123 |
| Embedding 3 | embedding 3 | ₽4.93/M | ₽4.93/M | ₽123 |
| Embedding V1 | embedding 001 | ₽4.93/M | ₽4.93/M | ₽123 |
| glm z1 air | glm z1 air | ₽4.93/M | ₽4.93/M | ₽123 |
| Qwen3 Embedding 0.6b | qwen3 embedding 0.6b | ₽4.93/M | ₽4.93/M | ₽123 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽4.93/M | ₽4.93/M | ₽123 |
| Tao 8K | tao 8k | ₽4.93/M | ₽4.93/M | ₽123 |
| Text Embedding V1 | text embedding 004 | ₽4.93/M | ₽4.93/M | ₽123 |
| DeepSeek V2.5 | DeepSeek V2.5 | ₽5.75/M | ₽1.73/M | ₽124 |
| BLOOMZ 7B | BLOOMZ 7B | ₽5.45/M | ₽5.45/M | ₽136 |
| deepseek coder | deepseek coder | ₽4.79/M | ₽9.59/M | ₽144 |
| Baichuan4 Air | Baichuan4 Air | ₽5.75/M | ₽5.75/M | ₽144 |
| gemma 2 9b it | gemma 2 9b it | ₽5.75/M | ₽5.75/M | ₽144 |
| Llama 3.1 8B | llama 3.1 8b | ₽5.75/M | ₽5.75/M | ₽144 |
| Meta Llama 3.1 8B Instruct Turbo | Meta Llama 3.1 8B Instruct Turbo | ₽5.75/M | ₽5.75/M | ₽144 |
| MythoMax L2 13b Lite | Gryphe | ₽5.75/M | ₽5.75/M | ₽144 |
| qwen 2.5 coder 32b instruct | qwen | ₽5.75/M | ₽5.75/M | ₽144 |
| Qwen2.5 7B Instruct | Qwen | ₽5.75/M | ₽5.75/M | ₽144 |
| QwQ 32B | Qwen | ₽5.75/M | ₽5.75/M | ₽144 |
| Llama3 70B 8192 | llama3 70b 8192 | ₽5.66/M | ₽7.57/M | ₽151 |
| mistralai · Pixtral-12B-2409 | mistralai | ₽6.33/M | ₽6.33/M | ₽158 |
| Qwen2 57B A14B Instruct | Qwen | ₽6.33/M | ₽6.33/M | ₽158 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽6.14/M | ₽7.67/M | ₽161 |
| Command R | command r | ₽4.79/M | ₽14.38/M | ₽168 |
| Chatglm_std | chatglm_std | ₽6.71/M | ₽6.71/M | ₽168 |
| Chatglm_turbo | chatglm_turbo | ₽6.71/M | ₽6.71/M | ₽168 |
| Doubao embedding large | Doubao embedding large | ₽6.71/M | ₽6.71/M | ₽168 |
| open mixtral 8x7b | open mixtral 8x7b | ₽6.71/M | ₽6.71/M | ₽168 |
| TeleAI · TeleChat2 | TeleAI | ₽6.71/M | ₽6.71/M | ₽168 |
| TeleAI · TeleMM | TeleAI | ₽6.71/M | ₽6.71/M | ₽168 |
| hunyuan translation lite | hunyuan translation lite | ₽6.81/M | ₽6.81/M | ₽170 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽6.90/M | ₽6.90/M | ₽172 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽6.90/M | ₽6.90/M | ₽172 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽6.90/M | ₽6.90/M | ₽172 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽6.90/M | ₽6.90/M | ₽172 |
| gte rerank | gte rerank | ₽6.90/M | ₽6.90/M | ₽172 |
| hunyuan embedding | hunyuan embedding | ₽6.90/M | ₽6.90/M | ₽172 |
| DeepSeek V2 Chat | deepseek ai | ₽5.75/M | ₽11.51/M | ₽173 |
| Sora 2 | sora 2 | ₽7.19/M | ₽7.19/M | ₽180 |
| Text Embedding ADA | text embedding ada | ₽7.19/M | ₽7.19/M | ₽180 |
| DeepSeek Coder V2 Instruct | deepseek ai | ₽6.33/M | ₽12.66/M | ₽190 |
| DeepSeek V2.5 | deepseek ai | ₽6.33/M | ₽12.66/M | ₽190 |
| Qwen Long | qwen long | ₽4.93/M | ₽19.70/M | ₽197 |
| qwen3 8b | qwen | ₽4.93/M | ₽19.70/M | ₽197 |
| Doubao Lite 128K | Doubao lite 128k | ₽7.67/M | ₽9.59/M | ₽201 |
| Yi VL Plus | yi vl plus | ₽8.05/M | ₽8.05/M | ₽201 |
| gpt 5 nano | openai | ₽3.60/M | ₽28.76/M | ₽216 |
| Bge Reranker V2 M3 | BAAI | ₽8.87/M | ₽8.87/M | ₽222 |
| text embedding 3 large | openai | ₽9.35/M | ₽9.35/M | ₽234 |
| Qwen Mt Turbo | qwen mt turbo | ₽6.90/M | ₽19.21/M | ₽234 |
| o3fan deepsearch v1 | o3fan deepsearch v1 | ₽7.91/M | ₽15.82/M | ₽237 |
| alpaca 7b | alpaca 7b | ₽9.59/M | ₽9.59/M | ₽240 |
| Babbage | babbage | ₽9.59/M | ₽9.59/M | ₽240 |
| CodeLlama 34b Instruct hf | CodeLlama 34b Instruct hf | ₽9.59/M | ₽9.59/M | ₽240 |
| dolphin 2.5 mixtral 8x7b | dolphin 2.5 mixtral 8x7b | ₽9.59/M | ₽9.59/M | ₽240 |
| embedding bert 512 v1 | embedding bert 512 v1 | ₽9.59/M | ₽9.59/M | ₽240 |
| embedding_s1_v1.2 | embedding_s1_v1.2 | ₽9.59/M | ₽9.59/M | ₽240 |
| glm4 9B chat | glm4 9B chat | ₽9.59/M | ₽9.59/M | ₽240 |
| Llama 3.2 11B Vision Instruct Turbo | meta llama | ₽9.59/M | ₽9.59/M | ₽240 |
| Meta Llama 3 70B Instruct Lite | Meta Llama 3 70B Instruct Lite | ₽9.59/M | ₽9.59/M | ₽240 |
| Meta Llama 3 8B Instruct Turbo | Meta Llama 3 8B Instruct Turbo | ₽9.59/M | ₽9.59/M | ₽240 |
| Mixtral 8x7B Instruct v0.1 | Mixtral 8x7B Instruct v0.1 | ₽9.59/M | ₽9.59/M | ₽240 |
| net glm 3 turbo | net glm 3 turbo | ₽9.59/M | ₽9.59/M | ₽240 |
| Nous Hermes 2 Yi 34B | Nous Hermes 2 Yi 34B | ₽9.59/M | ₽9.59/M | ₽240 |
| ocoolai helper | ocoolai helper | ₽9.59/M | ₽9.59/M | ₽240 |
| Qianfan Chinese Llama 2 13B | qianfan chinese llama 2 13b | ₽9.59/M | ₽9.59/M | ₽240 |
| Qianfan Chinese Llama 2 70B | Qianfan Chinese Llama 2 70B | ₽9.59/M | ₽9.59/M | ₽240 |
| Qianfan Chinese Llama 2 7B | Qianfan Chinese Llama 2 7B | ₽9.59/M | ₽9.59/M | ₽240 |
| RedPajama INCITE Chat 3B v1 | RedPajama INCITE Chat 3B v1 | ₽9.59/M | ₽9.59/M | ₽240 |
| speech 02 | speech 02 | ₽9.59/M | ₽9.59/M | ₽240 |
| Wizardlm 2 8x22b | microsoft | ₽9.59/M | ₽9.59/M | ₽240 |
| Yi 34B Chat | Yi 34B Chat | ₽9.59/M | ₽9.59/M | ₽240 |
| yi 34b chat 200k | yi 34b chat 200k | ₽9.59/M | ₽9.59/M | ₽240 |
| Yi Medium | yi medium | ₽9.59/M | ₽9.59/M | ₽240 |
| Yi Lightning | yi lightning | ₽9.75/M | ₽9.75/M | ₽244 |
| abab6.5s chat | abab6.5s chat | ₽9.85/M | ₽9.85/M | ₽246 |
| charglm 4 | charglm 4 | ₽9.85/M | ₽9.85/M | ₽246 |
| GLM 3 Turbo | glm 3 turbo | ₽9.85/M | ₽9.85/M | ₽246 |
| glm 4 air | glm 4 air | ₽9.85/M | ₽9.85/M | ₽246 |
| glm 4 long | glm 4 long | ₽9.85/M | ₽9.85/M | ₽246 |
| SparkDesk Lite | SparkDesk Lite | ₽9.85/M | ₽9.85/M | ₽246 |
| Qwen3 Next 80B A3B | Qwen | ₽6.17/M | ₽24.68/M | ₽247 |
| Doubao Pro 32K | Doubao pro 32k | ₽7.67/M | ₽19.18/M | ₽249 |
| Doubao Pro 4K | Doubao pro 4k | ₽7.67/M | ₽19.18/M | ₽249 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽7.88/M | ₽19.70/M | ₽256 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽7.88/M | ₽19.70/M | ₽256 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽7.88/M | ₽19.70/M | ₽256 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽7.88/M | ₽19.70/M | ₽256 |
| hunyuan standard | hunyuan standard | ₽7.88/M | ₽19.70/M | ₽256 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽7.88/M | ₽19.70/M | ₽256 |
| qwen plus | qwen | ₽7.88/M | ₽19.70/M | ₽256 |
| gemini 2.5 flash | ₽7.19/M | ₽28.76/M | ₽288 | |
| gemini 2.5 flash lite | ₽7.19/M | ₽28.76/M | ₽288 | |
| gpt 4.1 nano | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| gpt 4o mini | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| gpt oss 20b | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| Yi Large Rag | yi large rag | ₽11.51/M | ₽11.51/M | ₽288 |
| Command | command | ₽9.59/M | ₽19.18/M | ₽288 |
| Command Light | command light | ₽9.59/M | ₽19.18/M | ₽288 |
| Command Light Nightly | command light nightly | ₽9.59/M | ₽19.18/M | ₽288 |
| Command Nightly | command nightly | ₽9.59/M | ₽19.18/M | ₽288 |
| deepseek coder 33b instruct | deepseek coder 33b instruct | ₽9.59/M | ₽19.18/M | ₽288 |
| deepseek llm 67b chat | deepseek llm 67b chat | ₽9.59/M | ₽19.18/M | ₽288 |
| DeepSeek Llm 67B Chat | deepseek ai | ₽9.59/M | ₽19.18/M | ₽288 |
| qwen2 math 7b instruct | qwen2 math 7b instruct | ₽9.59/M | ₽19.18/M | ₽288 |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | ₽14.38/M | ₽1.44/M | ₽295 |
| Qwen1.5 7B Chat | Qwen1.5 7B Chat | ₽9.85/M | ₽19.70/M | ₽296 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽9.85/M | ₽19.70/M | ₽296 |
| step 2 mini | step 2 mini | ₽9.85/M | ₽19.70/M | ₽296 |
| deepseek v4 flash max | deepseek v4 flash max | ₽10.21/M | ₽20.42/M | ₽306 |
| deepseek v4 flash none | deepseek v4 flash none | ₽10.21/M | ₽20.42/M | ₽306 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽12.32/M | ₽12.32/M | ₽308 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽7.88/M | ₽31.52/M | ₽315 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽7.88/M | ₽31.52/M | ₽315 |
| ChatStd | ChatStd | ₽13.61/M | ₽13.61/M | ₽340 |
| GLM Zero Preview | glm zero preview | ₽13.61/M | ₽13.61/M | ₽340 |
| Chatglm_pro | chatglm_pro | ₽13.69/M | ₽13.69/M | ₽342 |
| gemma 2 27b it | ₽14.38/M | ₽14.38/M | ₽360 | |
| KAT Coder Air V1 | KAT Coder Air V1 | ₽14.38/M | ₽14.38/M | ₽360 |
| KAT Coder Pro V1 | KAT Coder Pro V1 | ₽14.38/M | ₽14.38/M | ₽360 |
| Omni Moderation | omni moderation latest | ₽14.38/M | ₽14.38/M | ₽360 |
| wan2.2 i2v flash | wan2.2 i2v flash | ₽14.38/M | ₽14.38/M | ₽360 |
| wan2.2 kf2v flash | wan2.2 kf2v flash | ₽14.38/M | ₽14.38/M | ₽360 |
| Ascend · DeepSeek-R1 | Ascend | ₽9.59/M | ₽38.35/M | ₽384 |
| step 1 flash | step 1 flash | ₽9.59/M | ₽38.35/M | ₽384 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽9.64/M | ₽38.54/M | ₽385 |
| hunyuan t1 latest | hunyuan t1 20250321 | ₽9.85/M | ₽39.40/M | ₽394 |
| qwen3 14b | qwen | ₽9.85/M | ₽39.40/M | ₽394 |
| Qwen3.5 Plus | qwen3.5 plus | ₽7.88/M | ₽47.29/M | ₽394 |
| ERNIE 3.5 4K 0205 | ERNIE 3.5 4K 0205 | ₽16.34/M | ₽16.34/M | ₽408 |
| ERNIE 3.5 8K 1222 | ERNIE 3.5 8K 1222 | ₽16.34/M | ₽16.34/M | ₽408 |
| doubao seed 1 6 flash 250828 | doubao seed 1 6 flash 250828 | ₽5.91/M | ₽59.10/M | ₽414 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽5.91/M | ₽59.10/M | ₽414 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽11.82/M | ₽35.46/M | ₽414 |
| Qwen3 VL Flash | qwen3 vl flash | ₽5.91/M | ₽59.10/M | ₽414 |
| gemini 1.5 flash | gemini 1.5 flash | ₽10.79/M | ₽43.14/M | ₽431 |
| gemini 2.5 flash preview native audio dialog | gemini 2.5 flash preview native audio dialog | ₽10.79/M | ₽43.14/M | ₽431 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽10.79/M | ₽43.14/M | ₽431 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽10.79/M | ₽43.14/M | ₽431 |
| kimi k2 0711 preview anthorpic | kimi k2 0711 preview anthorpic | ₽10.79/M | ₽43.14/M | ₽431 |
| kimi k2 0711 preview anthropic | kimi k2 0711 preview anthropic | ₽10.79/M | ₽43.14/M | ₽431 |
| deepseek ai · DeepSeek-V3 | deepseek ai | ₽11.51/M | ₽46.02/M | ₽460 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Aqa | aqa | ₽19.18/M | ₽19.18/M | ₽479 |
| CodeLlama 70b Instruct hf | CodeLlama 70b Instruct hf | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 2 70b chat hf | Llama 2 70b chat hf | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 3 70b chat hf | Llama 3 70b chat hf | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 3.2 90B Vision Instruct Turbo | meta llama | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 3.2 90B Vision Preview | meta llama | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 3.3 70B | Llama 3.3 70B | ₽19.18/M | ₽19.18/M | ₽479 |
| Meta Llama 3 70B Instruct Turbo | Meta Llama 3 70B Instruct Turbo | ₽19.18/M | ₽19.18/M | ₽479 |
| Nous Hermes 2 Mixtral 8x7B DPO | Nous Hermes 2 Mixtral 8x7B DPO | ₽19.18/M | ₽19.18/M | ₽479 |
| Nous Hermes 2 Mixtral 8x7B SFT | Nous Hermes 2 Mixtral 8x7B SFT | ₽19.18/M | ₽19.18/M | ₽479 |
| OpenGVLab · InternVL2-Llama3-76B | OpenGVLab | ₽19.18/M | ₽19.18/M | ₽479 |
| PaLM 2 | PaLM 2 | ₽19.18/M | ₽19.18/M | ₽479 |
| Platypus2 70B instruct | Platypus2 70B instruct | ₽19.18/M | ₽19.18/M | ₽479 |
| yi vision | yi vision | ₽19.18/M | ₽19.18/M | ₽479 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽14.38/M | ₽43.14/M | ₽503 |
| Wan2.2 I2v Plus | wan2.2 i2v plus | ₽20.13/M | ₽20.13/M | ₽503 |
| wan2.2 t2v plus | wan2.2 t2v plus | ₽20.13/M | ₽20.13/M | ₽503 |
| Seed OSS 36B Instruct | Seed OSS 36B Instruct | ₽7.39/M | ₽73.92/M | ₽517 |
| minimax m2 | minimax | ₽12.94/M | ₽51.77/M | ₽518 |
| o3fan deepresearch v1 | o3fan deepresearch v1 | ₽17.26/M | ₽34.52/M | ₽518 |
| qwen vl plus | qwen vl plus | ₽14.78/M | ₽47.28/M | ₽532 |
| Sora 2 Pro | sora 2 pro | ₽21.57/M | ₽21.57/M | ₽539 |
| deepseek reasoner v3.2 | deepseek reasoner v3.2 | ₽19.70/M | ₽29.55/M | ₽542 |
| deepseek v3.2 | deepseek | ₽19.70/M | ₽29.55/M | ₽542 |
| deepseek v3.2 speciale | deepseek v3.2 speciale | ₽19.70/M | ₽29.55/M | ₽542 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽7.88/M | ₽78.80/M | ₽552 |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | ₽7.88/M | ₽78.81/M | ₽552 |
| DeepSeek V2 Chat | DeepSeek V2 Chat | ₽19.18/M | ₽38.35/M | ₽575 |
| deepseek r1 | deepseek | ₽14.38/M | ₽57.53/M | ₽575 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽23.01/M | ₽23.01/M | ₽575 |
| MiniMax Text 01 | MiniMax Text 01 | ₽9.85/M | ₽78.80/M | ₽591 |
| Qwen1.5 14B Chat | Qwen1.5 14B Chat | ₽19.70/M | ₽39.40/M | ₽591 |
| qwen3 30b a3b | qwen | ₽14.78/M | ₽59.10/M | ₽591 |
| deepseek v4 flash | deepseek | ₽20.13/M | ₽40.27/M | ₽604 |
| SparkDesk | SparkDesk | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v1.1 | SparkDesk v1.1 | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v2.1 | SparkDesk v2.1 | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v3.1 | SparkDesk v3.1 | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v3.1 128K | SparkDesk v3.1 128K | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v3.5 32K | SparkDesk v3.5 32K | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v4.0 | SparkDesk v4.0 | ₽24.66/M | ₽24.66/M | ₽616 |
| Qwen Mt Plus | qwen mt plus | ₽17.73/M | ₽53.19/M | ₽621 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽24.93/M | ₽24.93/M | ₽623 |
| glm 4.5 air | z ai | ₽11.82/M | ₽78.80/M | ₽630 |
| GLM 4.5 Airx | glm 4.5 airx | ₽11.82/M | ₽78.80/M | ₽630 |
| Grok 3 Mini | grok 3 mini | ₽21.57/M | ₽43.14/M | ₽647 |
| Mistral Small | Mistral Small | ₽19.18/M | ₽57.53/M | ₽671 |
| Llama3 70B 8192(33) | llama3 70b 8192(33) | ₽25.41/M | ₽33.56/M | ₽676 |
| qwen 1.8b chat | qwen 1.8b chat | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen 1.8b longcontext chat | qwen 1.8b longcontext chat | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen audio chat | qwen audio chat | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen audio turbo | qwen audio turbo | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen vl chat v1 | qwen vl chat v1 | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen vl v1 | qwen vl v1 | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen1.5 0.5B Chat | Qwen1.5 0.5B Chat | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen1.5 1.8B Chat | Qwen1.5 1.8B Chat | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2 0.5b instruct | qwen2 0.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2 audio instruct | qwen2 audio instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2 math 1.5b instruct | qwen2 math 1.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2 vl 2b instruct | qwen2 vl 2b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen2 VL 7B Instruct | Qwen2 VL 7B Instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2.5 0.5b instruct | qwen2.5 0.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2.5 1.5b instruct | qwen2.5 1.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2.5 coder 0.5b instruct | qwen2.5 coder 0.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen2.5 Coder 1.5b Instruct | qwen2.5 coder 1.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2.5 coder 3b instruct | qwen2.5 coder 3b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| glm 4.6v | z ai | ₽19.70/M | ₽59.10/M | ₽690 |
| qwen coder turbo | qwen coder turbo | ₽19.70/M | ₽59.10/M | ₽690 |
| qwen math turbo | qwen math turbo | ₽19.70/M | ₽59.10/M | ₽690 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽19.70/M | ₽59.10/M | ₽690 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽19.70/M | ₽59.10/M | ₽690 |
| Baichuan2 53B | Baichuan2 53B | ₽28.76/M | ₽28.76/M | ₽719 |
| flux redux schnell | black forest labs | ₽28.76/M | ₽28.76/M | ₽719 |
| Flux Schnell | black forest labs | ₽28.76/M | ₽28.76/M | ₽719 |
| hermes-3-llama-3.1-70b | nousresearch | ₽28.76/M | ₽28.76/M | ₽719 |
| llama 3.1 70b | together | ₽28.76/M | ₽28.76/M | ₽719 |
| Meta Llama 3.1 70B Instruct Turbo | Meta Llama 3.1 70B Instruct Turbo | ₽28.76/M | ₽28.76/M | ₽719 |
| qwen 2.5 72b instruct | qwen | ₽28.76/M | ₽28.76/M | ₽719 |
| Qwen2 72B Instruct | Qwen | ₽28.76/M | ₽28.76/M | ₽719 |
| Text Ada 001 | text ada 001 | ₽28.76/M | ₽28.76/M | ₽719 |
| Yi Large Turbo | yi large turbo | ₽28.76/M | ₽28.76/M | ₽719 |
| yi vision solution | yi vision solution | ₽28.76/M | ₽28.76/M | ₽719 |
| gpt 5.4 nano | openai | ₽14.38/M | ₽89.88/M | ₽737 |
| Azure · DeepSeek-R1 | Azure | ₽19.18/M | ₽76.70/M | ₽767 |
| deepseek search silent | deepseek search silent | ₽19.18/M | ₽76.70/M | ₽767 |
| deepseek think fold | deepseek think fold | ₽19.18/M | ₽76.70/M | ₽767 |
| deepseek think silent | deepseek think silent | ₽19.18/M | ₽76.70/M | ₽767 |
| DeepSeek V3 | deepseek search | ₽19.18/M | ₽76.70/M | ₽767 |
| HiAscend · DeepSeek-R1 | HiAscend | ₽19.18/M | ₽76.70/M | ₽767 |
| deepseek chat | deepseek | ₽19.70/M | ₽78.80/M | ₽788 |
| qwen3 32b | qwen | ₽19.70/M | ₽78.80/M | ₽788 |
| claude 3 haiku | anthropic | ₽17.98/M | ₽89.88/M | ₽809 |
| claude 3.5 haiku | anthropic | ₽17.98/M | ₽89.88/M | ₽809 |
| ERNIE Bot 8K | ERNIE Bot 8K | ₽32.67/M | ₽32.67/M | ₽817 |
| Grok Code Fast 1 | grok code fast 1 | ₽14.38/M | ₽108/M | ₽827 |
| minimax m2.1 | minimax | ₽20.68/M | ₽82.72/M | ₽827 |
| minimax m2.5 | minimax | ₽20.68/M | ₽82.72/M | ₽827 |
| Qwen Flash | qwen flash | ₽11.82/M | ₽118/M | ₽827 |
| grok 2 | grok 2 | ₽19.18/M | ₽95.88/M | ₽863 |
| Grok 2 1212 | grok 2 1212 | ₽19.18/M | ₽95.88/M | ₽863 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽19.18/M | ₽95.88/M | ₽863 |
| wanx2.1 i2v turbo | wanx2.1 i2v turbo | ₽34.52/M | ₽34.52/M | ₽863 |
| wanx2.1 t2v turbo | wanx2.1 t2v turbo | ₽34.52/M | ₽34.52/M | ₽863 |
| Moonshot V1 8K | moonshot v1 8k | ₽19.70/M | ₽98.50/M | ₽887 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽19.70/M | ₽98.50/M | ₽887 |
| step 1o turbo vision | step 1o turbo vision | ₽24.63/M | ₽78.80/M | ₽887 |
| step r1 v mini | step r1 v mini | ₽24.63/M | ₽78.80/M | ₽887 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽17.73/M | ₽106/M | ₽887 |
| Text Babbage 001 | text babbage 001 | ₽35.95/M | ₽35.95/M | ₽899 |
| Mistral Medium | mistral medium | ₽25.89/M | ₽77.66/M | ₽906 |
| Qwen Max | qwen max | ₽23.64/M | ₽94.57/M | ₽946 |
| Baichuan2 Turbo | Baichuan2 Turbo | ₽38.35/M | ₽38.35/M | ₽959 |
| charglm 3 | charglm 3 | ₽38.35/M | ₽38.35/M | ₽959 |
| Emohaa | emohaa | ₽38.35/M | ₽38.35/M | ₽959 |
| Mixtral 8x22B Instruct v0.1 | Mixtral 8x22B Instruct v0.1 | ₽38.35/M | ₽38.35/M | ₽959 |
| yi medium 200k | yi medium 200k | ₽38.35/M | ₽38.35/M | ₽959 |
| o3fan deepresearch v1pro | o3fan deepresearch v1pro | ₽32.36/M | ₽64.72/M | ₽971 |
| DeepSeek Math V2 | DeepSeek Math V2 | ₽24.65/M | ₽98.60/M | ₽986 |
| kimi k2 | moonshotai | ₽24.65/M | ₽98.60/M | ₽986 |
| ocoolAI · DeepSeek-R1 | ocoolAI | ₽24.93/M | ₽99.71/M | ₽997 |
| qwen3 235b a22b | qwen | ₽28.76/M | ₽86.29/M | ₽1 007 |
| abab6.5 chat | abab6.5 chat | ₽40.84/M | ₽40.84/M | ₽1 021 |
| qwen coder plus 1106 | qwen coder plus 1106 | ₽34.47/M | ₽68.95/M | ₽1 034 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽29.55/M | ₽88.65/M | ₽1 034 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽29.55/M | ₽88.65/M | ₽1 034 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽29.55/M | ₽88.65/M | ₽1 034 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽29.55/M | ₽88.65/M | ₽1 034 |
| qwen vl max | qwen vl max | ₽29.55/M | ₽88.65/M | ₽1 034 |
| qwen coder plus | qwen coder plus | ₽34.48/M | ₽68.95/M | ₽1 034 |
| Qwen1.5 32B Chat | Qwen1.5 32B Chat | ₽34.48/M | ₽68.95/M | ₽1 034 |
| Qwen2.5 32B Instruct | Qwen | ₽34.48/M | ₽68.95/M | ₽1 034 |
| gpt 5 mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| gpt 3.5 turbo | openai | ₽35.95/M | ₽71.91/M | ₽1 079 |
| Wan2.5 I2v Preview | wan2.5 i2v preview | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Wan2.5 T2v Preview | wan2.5 t2v preview | ₽43.14/M | ₽43.14/M | ₽1 079 |
| deepseek ai · DeepSeek-Prover-V2 | deepseek ai | ₽28.76/M | ₽115/M | ₽1 151 |
| gemini 1.5 pro | gemini 1.5 pro | ₽28.76/M | ₽115/M | ₽1 151 |
| Gemini 2.0 Flash-Lite | gemini 2.0 flash lite | ₽28.76/M | ₽115/M | ₽1 151 |
| Gemini Pro Vision | gemini pro vision | ₽28.76/M | ₽115/M | ₽1 151 |
| gpt 4.1 mini | openai | ₽28.76/M | ₽115/M | ₽1 151 |
| hunyuan code | hunyuan code | ₽39.40/M | ₽78.80/M | ₽1 182 |
| hunyuan functioncall | hunyuan functioncall | ₽39.40/M | ₽78.80/M | ₽1 182 |
| hunyuan role | hunyuan role | ₽39.40/M | ₽78.80/M | ₽1 182 |
| Grok Vision Beta | grok vision beta | ₽47.94/M | ₽47.94/M | ₽1 198 |
| Yi Large | yi large | ₽47.94/M | ₽47.94/M | ₽1 198 |
| abab5.5s chat | abab5.5s chat | ₽49.25/M | ₽49.25/M | ₽1 231 |
| abab6.5g chat | abab6.5g chat | ₽49.25/M | ₽49.25/M | ₽1 231 |
| abab6.5t chat | abab6.5t chat | ₽49.25/M | ₽49.25/M | ₽1 231 |
| glm z1 airx | glm z1 airx | ₽49.25/M | ₽49.25/M | ₽1 231 |
| qwen vl ocr | qwen vl ocr | ₽49.25/M | ₽49.25/M | ₽1 231 |
| MiniMax M2.1 lightning | MiniMax M2.1 lightning | ₽20.69/M | ₽165/M | ₽1 241 |
| Command R Plus | command r plus | ₽28.76/M | ₽144/M | ₽1 294 |
| glm 4.7 | z ai | ₽30.20/M | ₽141/M | ₽1 309 |
| Qwen2 Math 72B Instruct | Qwen2 Math 72B Instruct | ₽38.35/M | ₽115/M | ₽1 342 |
| deepseek v3.1 | deepseek v3.1 | ₽39.40/M | ₽118/M | ₽1 379 |
| deepseek v3.1 terminus | deepseek | ₽39.40/M | ₽118/M | ₽1 379 |
| hunyuan large | hunyuan large | ₽39.40/M | ₽118/M | ₽1 379 |
| qwen math plus | qwen math plus | ₽39.40/M | ₽118/M | ₽1 379 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽39.40/M | ₽118/M | ₽1 379 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽47.94/M | ₽86.29/M | ₽1 390 |
| Doubao Pro 128K | Doubao pro 128k | ₽47.94/M | ₽86.29/M | ₽1 390 |
| Baichuan3 Turbo | Baichuan3 Turbo | ₽57.53/M | ₽57.53/M | ₽1 438 |
| doubao seedance 2 0 fast · per_second | seedance | ₽57.53/M | ₽57.53/M | ₽1 438 |
| qwen 7b chat | qwen 7b chat | ₽57.53/M | ₽57.53/M | ₽1 438 |
| Qwen1.5 72B Chat | Qwen1.5 72B Chat | ₽49.25/M | ₽98.50/M | ₽1 478 |
| qwen3 coder | qwen | ₽36.97/M | ₽148/M | ₽1 479 |
| deepseek reasoner | deepseek reasoner | ₽38.35/M | ₽153/M | ₽1 534 |
| deepseek r1 fold | deepseek r1 fold | ₽38.35/M | ₽153/M | ₽1 534 |
| deepseek r1 silent | deepseek r1 silent | ₽38.35/M | ₽153/M | ₽1 534 |
| glm 4.5 | z ai | ₽39.40/M | ₽158/M | ₽1 576 |
| glm 4.6 | z ai | ₽39.40/M | ₽158/M | ₽1 576 |
| glm 5 | z ai | ₽39.41/M | ₽158/M | ₽1 576 |
| gpt oss 120b | openai | ₽39.55/M | ₽158/M | ₽1 582 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽23.64/M | ₽236/M | ₽1 655 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽23.64/M | ₽236/M | ₽1 655 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽23.64/M | ₽236/M | ₽1 655 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽23.64/M | ₽236/M | ₽1 655 |
| minimax m1 | minimax | ₽23.64/M | ₽236/M | ₽1 655 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽41.38/M | ₽166/M | ₽1 655 |
| grok beta | grok beta | ₽47.94/M | ₽144/M | ₽1 678 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽43.14/M | ₽173/M | ₽1 726 |
| Meta Llama 3.1 405B | meta llama | ₽69.03/M | ₽69.03/M | ₽1 726 |
| Meta Llama 3.1 405B Instruct Turbo | Meta Llama 3.1 405B Instruct Turbo | ₽69.03/M | ₽69.03/M | ₽1 726 |
| gemini 3 flash | gemini 3 flash | ₽35.95/M | ₽216/M | ₽1 798 |
| gemini 3 flash preview high | gemini 3 flash preview high | ₽35.95/M | ₽216/M | ₽1 798 |
| gemini 3 flash preview low | gemini 3 flash preview low | ₽35.95/M | ₽216/M | ₽1 798 |
| doubao seedance 2 0 · per_second | seedance | ₽71.91/M | ₽71.91/M | ₽1 798 |
| grok imagine video | grok imagine video | ₽71.91/M | ₽71.91/M | ₽1 798 |
| kimi k2.5 | moonshotai | ₽39.40/M | ₽207/M | ₽1 822 |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽76.70/M | ₽76.70/M | ₽1 918 |
| Doubao vision lite 32k | Doubao vision lite 32k | ₽76.70/M | ₽76.70/M | ₽1 918 |
| qwen 14b chat | qwen 14b chat | ₽76.70/M | ₽76.70/M | ₽1 918 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽78.80/M | ₽78.80/M | ₽1 970 |
| Moonshot V1 32K | moonshot v1 32k | ₽49.25/M | ₽197/M | ₽1 970 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽49.25/M | ₽197/M | ₽1 970 |
| step 1 8k | step 1 8k | ₽49.25/M | ₽197/M | ₽1 970 |
| step 1v 8k | step 1v 8k | ₽49.25/M | ₽197/M | ₽1 970 |
| Claude Instant 1.2 | claude instant 1.2 | ₽57.53/M | ₽173/M | ₽2 013 |
| Cogview 3 Plus | cogview 3 plus | ₽81.69/M | ₽81.69/M | ₽2 042 |
| Qwen3 VL Plus | qwen3 vl plus | ₽29.55/M | ₽296/M | ₽2 069 |
| Qwen1.5 110B Chat | Qwen1.5 110B Chat | ₽68.95/M | ₽138/M | ₽2 069 |
| hunyuan large longcontext | hunyuan large longcontext | ₽59.10/M | ₽177/M | ₽2 069 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽71.91/M | ₽144/M | ₽2 157 |
| Wan2.6 I2v | wan2.6 i2v | ₽86.29/M | ₽86.29/M | ₽2 157 |
| Wan2.6 T2v | wan2.6 t2v | ₽86.29/M | ₽86.29/M | ₽2 157 |
| Wan2.7 I2v | wan2.7 i2v | ₽86.29/M | ₽86.29/M | ₽2 157 |
| Wan2.7 T2v | wan2.7 t2v | ₽86.29/M | ₽86.29/M | ₽2 157 |
| qwen3 coder flash | qwen | ₽49.25/M | ₽246/M | ₽2 216 |
| HiSpeed · DeepSeek-R1 | HiSpeed | ₽76.70/M | ₽153/M | ₽2 301 |
| 360gpt turbo 32k responsibility 240516 | 360gpt turbo 32k responsibility 240516 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| 360gpt turbo 32k responsibility 240530 | 360gpt turbo 32k responsibility 240530 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| Balanced | Balanced | ₽95.88/M | ₽95.88/M | ₽2 397 |
| Creative | Creative | ₽95.88/M | ₽95.88/M | ₽2 397 |
| generalv3.5 | generalv3.5 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| Hunyuan A52B Instruct | Tencent | ₽95.88/M | ₽95.88/M | ₽2 397 |
| Precise | Precise | ₽95.88/M | ₽95.88/M | ₽2 397 |
| qwen max 1201 | qwen max 1201 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| SparkDesk v3.5 | SparkDesk v3.5 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| glm 5.1 | z ai | ₽61.55/M | ₽246/M | ₽2 462 |
| glm 4 airx | glm 4 airx | ₽98.50/M | ₽98.50/M | ₽2 463 |
| GLM 4 Vision Plus | glm 4v plus | ₽98.50/M | ₽98.50/M | ₽2 463 |
| doubao seedance 1 5 pro · 21:9 · 480p · 5s | seedance | ₽101/M | ₽101/M | ₽2 517 |
| doubao seedance 1 5 pro · 4:3 · 480p · 5s | seedance | ₽101/M | ₽101/M | ₽2 517 |
| gemini 2.5 flash deepsearch | gemini 2.5 flash deepsearch | ₽71.91/M | ₽216/M | ₽2 517 |
| MiMo V2 Pro | mimo v2 pro | ₽71.91/M | ₽216/M | ₽2 517 |
| wanx2.1 i2v plus | wanx2.1 i2v plus | ₽101/M | ₽101/M | ₽2 517 |
| wanx2.1 kf2v plus | wanx2.1 kf2v plus | ₽101/M | ₽101/M | ₽2 517 |
| wanx2.1 t2v plus | wanx2.1 t2v plus | ₽101/M | ₽101/M | ₽2 517 |
| doubao seedance 1 5 pro · 1:1 · 480p · 5s | seedance | ₽104/M | ₽104/M | ₽2 589 |
| doubao seedance 1 5 pro · 16:9 · 480p · 5s | seedance | ₽105/M | ₽105/M | ₽2 625 |
| mistral large latest | mistral large latest | ₽76.70/M | ₽230/M | ₽2 685 |
| gpt 5.4 mini | openai | ₽53.93/M | ₽324/M | ₽2 697 |
| gpt 3.5 0301 | gpt 3.5 0301 | ₽108/M | ₽144/M | ₽2 876 |
| 360gpt pro | 360gpt pro | ₽115/M | ₽115/M | ₽2 876 |
| 360gpt turbo | 360gpt turbo | ₽115/M | ₽115/M | ₽2 876 |
| 360gpt turbo responsibility 8k | 360gpt turbo responsibility 8k | ₽115/M | ₽115/M | ₽2 876 |
| 360gpt2 pro | 360gpt2 pro | ₽115/M | ₽115/M | ₽2 876 |
| Baichuan2 Turbo 192k | Baichuan2 Turbo 192k | ₽115/M | ₽115/M | ₽2 876 |
| Baichuan3 Turbo 128K | Baichuan3 Turbo 128k | ₽115/M | ₽115/M | ₽2 876 |
| gemini 2.0 flash thinking exp 1219 | gemini 2.0 flash thinking exp 1219 | ₽71.91/M | ₽288/M | ₽2 876 |
| 360GPT_S2_V9 | 360GPT_S2_V9 | ₽123/M | ₽123/M | ₽3 082 |
| o1 mini | o1 mini | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini high | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini low | o3 mini low | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini medium | o3 mini medium | ₽79.10/M | ₽316/M | ₽3 164 |
| o4 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| step 1.5v mini | step 1.5v mini | ₽76.70/M | ₽336/M | ₽3 212 |
| claude haiku 4.5 | anthropic | ₽71.91/M | ₽360/M | ₽3 236 |
| gpt 4 claude 3 5 haiku 20241022 | gpt 4 claude 3 5 haiku 20241022 | ₽71.91/M | ₽360/M | ₽3 236 |
| gpt 4 claude 3 5 haiku latest | gpt 4 claude 3 5 haiku latest | ₽71.91/M | ₽360/M | ₽3 236 |
| Grok 3 | grok 3 | ₽71.91/M | ₽360/M | ₽3 236 |
| grok 3 deepsearch | grok 3 deepsearch | ₽71.91/M | ₽360/M | ₽3 236 |
| grok 3 reasoner | grok 3 reasoner | ₽71.91/M | ₽360/M | ₽3 236 |
| grok 3 reasoning | grok 3 reasoning | ₽71.91/M | ₽360/M | ₽3 236 |
| abab6 chat | abab6 chat | ₽136/M | ₽136/M | ₽3 404 |
| ChatPro | ChatPro | ₽136/M | ₽136/M | ₽3 404 |
| Hunyuan | hunyuan | ₽137/M | ₽137/M | ₽3 423 |
| SparkDesk Pro | SparkDesk Pro | ₽138/M | ₽138/M | ₽3 448 |
| Moonshot V1 128K | moonshot v1 128k | ₽98.50/M | ₽296/M | ₽3 448 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽98.50/M | ₽296/M | ₽3 448 |
| gemini 2.0 flash exp image generation | gemini 2.0 flash exp image generation | ₽86.29/M | ₽345/M | ₽3 452 |
| Gemini 3 Pro | Gemini 3 Pro | ₽71.91/M | ₽431/M | ₽3 595 |
| gemini 3 pro preview high | gemini 3 pro preview high | ₽71.91/M | ₽431/M | ₽3 595 |
| gemini 3 pro preview image anci | gemini 3 pro preview image anci | ₽71.91/M | ₽431/M | ₽3 595 |
| gemini 3 pro preview low | gemini 3 pro preview low | ₽71.91/M | ₽431/M | ₽3 595 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽71.91/M | ₽431/M | ₽3 595 |
| gemini 3.1 pro preview customtools | ₽71.91/M | ₽431/M | ₽3 595 | |
| Davinci | davinci | ₽144/M | ₽144/M | ₽3 595 |
| gemini 2.5 pro video | gemini 2.5 pro video | ₽89.88/M | ₽360/M | ₽3 595 |
| netease youdao · bce-reranker-base_v1 | netease youdao | ₽144/M | ₽144/M | ₽3 595 |
| rerank english v2.0 | rerank english v2.0 | ₽144/M | ₽144/M | ₽3 595 |
| rerank english v3.0 | rerank english v3.0 | ₽144/M | ₽144/M | ₽3 595 |
| rerank multilingual v2.0 | rerank multilingual v2.0 | ₽144/M | ₽144/M | ₽3 595 |
| rerank multilingual v3.0 | rerank multilingual v3.0 | ₽144/M | ₽144/M | ₽3 595 |
| Text Curie 001 | text curie 001 | ₽144/M | ₽144/M | ₽3 595 |
| deepseek v4 pro | deepseek | ₽122/M | ₽244/M | ₽3 667 |
| deepseek v4 pro max | deepseek v4 pro max | ₽123/M | ₽245/M | ₽3 676 |
| deepseek v4 pro none | deepseek v4 pro none | ₽123/M | ₽245/M | ₽3 676 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽93.58/M | ₽374/M | ₽3 743 |
| ali stable diffusion v1.5 | ali stable diffusion v1.5 | ₽153/M | ₽153/M | ₽3 835 |
| ali stable diffusion xl | ali stable diffusion xl | ₽153/M | ₽153/M | ₽3 835 |
| wanx v1 | wanx v1 | ₽153/M | ₽153/M | ₽3 835 |
| KAT Coder | KAT Coder | ₽98.50/M | ₽394/M | ₽3 940 |
| qwen2.5 vl 72b instruct | qwen | ₽115/M | ₽345/M | ₽4 027 |
| Qvq 72B Preview | Qwen | ₽118/M | ₽355/M | ₽4 137 |
| doubao seed 2 0 code preview 260215 | doubao seed 2 0 code preview 260215 | ₽94.56/M | ₽473/M | ₽4 255 |
| doubao seed 2 0 pro 260215 | doubao seed 2 0 pro 260215 | ₽94.56/M | ₽473/M | ₽4 255 |
| qwen3.7 max | qwen | ₽122/M | ₽367/M | ₽4 279 |
| codex mini | codex mini | ₽108/M | ₽431/M | ₽4 314 |
| abab5.5 chat | abab5.5 chat | ₽144/M | ₽288/M | ₽4 314 |
| Yi 1.5 34B Chat 16K | 01 ai | ₽144/M | ₽288/M | ₽4 314 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽78.80/M | ₽571/M | ₽4 433 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽78.80/M | ₽571/M | ₽4 433 |
| hunyuan vision | hunyuan vision | ₽177/M | ₽177/M | ₽4 433 |
| Ada | ada | ₽192/M | ₽192/M | ₽4 794 |
| Curie | curie | ₽192/M | ₽192/M | ₽4 794 |
| Doubao vision pro 32k | Doubao vision pro 32k | ₽192/M | ₽192/M | ₽4 794 |
| Flux Schnell Lora | black forest labs | ₽192/M | ₽192/M | ₽4 794 |
| qwen 72b chat | qwen 72b chat | ₽192/M | ₽192/M | ₽4 794 |
| Text Search Ada Doc 001 | text search ada doc 001 | ₽192/M | ₽192/M | ₽4 794 |
| Grok 4 | grok 4 | ₽108/M | ₽539/M | ₽4 854 |
| doubao seedance 1 5 pro · 21:9 · 480p · 10s | seedance | ₽201/M | ₽201/M | ₽5 034 |
| gemini 1.0 pro | gemini 1.0 pro | ₽144/M | ₽431/M | ₽5 034 |
| gemini 2.5 pro deepsearch | gemini 2.5 pro deepsearch | ₽144/M | ₽431/M | ₽5 034 |
| Gemini Pro | gemini pro | ₽144/M | ₽431/M | ₽5 034 |
| doubao seedance 1 5 pro · 4:3 · 480p · 10s | seedance | ₽203/M | ₽203/M | ₽5 069 |
| step 1 200k | step 1 200k | ₽204/M | ₽204/M | ₽5 105 |
| qwen omni turbo realtime | qwen omni turbo realtime | ₽205/M | ₽205/M | ₽5 136 |
| qwen3 omni flash realtime | qwen3 omni flash realtime | ₽205/M | ₽205/M | ₽5 136 |
| doubao seedance 1 5 pro · 1:1 · 480p · 10s | seedance | ₽207/M | ₽207/M | ₽5 177 |
| doubao seedance 1 5 pro · 16:9 · 480p · 10s | seedance | ₽210/M | ₽210/M | ₽5 249 |
| gemini 2.5 pro | ₽89.88/M | ₽719/M | ₽5 393 | |
| gpt 5 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 search api | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex max | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽216/M | ₽216/M | ₽5 393 |
| hunyuan turbo | hunyuan turbo | ₽148/M | ₽493/M | ₽5 418 |
| doubao seedance 1 5 pro · 16:9 · 720p · 5s | seedance | ₽221/M | ₽221/M | ₽5 537 |
| gpt 3.5 turbo 16k | openai | ₽216/M | ₽288/M | ₽5 752 |
| gpt 4.1 | openai | ₽144/M | ₽575/M | ₽5 753 |
| O3 | openai | ₽144/M | ₽575/M | ₽5 753 |
| whisper 1 | openai | ₽288/M | ₽288/M | ₽5 753 |
| doubao seedance 1 5 pro · 1:1 · 720p · 5s | seedance | ₽233/M | ₽233/M | ₽5 825 |
| doubao seedance 1 5 pro · 4:3 · 720p · 5s | seedance | ₽236/M | ₽236/M | ₽5 896 |
| qwen3 max | qwen | ₽148/M | ₽591/M | ₽5 910 |
| deepl en | deepl en | ₽240/M | ₽240/M | ₽5 992 |
| deepl ja | deepl ja | ₽240/M | ₽240/M | ₽5 992 |
| deepl zh | deepl zh | ₽240/M | ₽240/M | ₽5 992 |
| flux canny dev | black forest labs | ₽240/M | ₽240/M | ₽5 992 |
| Flux Depth Dev | black forest labs | ₽240/M | ₽240/M | ₽5 992 |
| Flux Dev | Flux Dev | ₽240/M | ₽240/M | ₽5 992 |
| Flux Redux Dev | black forest labs | ₽240/M | ₽240/M | ₽5 992 |
| doubao seedance 1 5 pro · 21:9 · 720p · 5s | seedance | ₽243/M | ₽243/M | ₽6 076 |
| GLM 4.5 X | glm 4.5 x | ₽158/M | ₽630/M | ₽6 304 |
| step 1 32k | step 1 32k | ₽148/M | ₽690/M | ₽6 403 |
| step 1o vision 32k | step 1o vision 32k | ₽148/M | ₽690/M | ₽6 403 |
| step 1v 32k | step 1v 32k | ₽148/M | ₽690/M | ₽6 403 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽256/M | ₽256/M | ₽6 403 |
| hunyuan standard 256K | hunyuan standard 256K | ₽192/M | ₽575/M | ₽6 711 |
| Qwen Max Longcontext | qwen max longcontext | ₽192/M | ₽575/M | ₽6 711 |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽197/M | ₽591/M | ₽6 895 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽197/M | ₽591/M | ₽6 895 |
| gemini 2.0 pro exp | gemini 2.0 pro exp | ₽180/M | ₽719/M | ₽7 191 |
| gpt 4o | openai | ₽180/M | ₽719/M | ₽7 191 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽180/M | ₽719/M | ₽7 191 |
| gpt audio | openai | ₽180/M | ₽719/M | ₽7 191 |
| gpt image 1 mini | openai | ₽180/M | ₽719/M | ₽7 191 |
| gpt 5.2 | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.3 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.3 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| doubao seedance 1 0 pro | doubao seedance 1 0 pro | ₽302/M | ₽302/M | ₽7 550 |
| gpt 3.5o | gpt 3.5o | ₽216/M | ₽647/M | ₽7 550 |
| gpt 4o lite | gpt 4o lite | ₽216/M | ₽647/M | ₽7 550 |
| Flux Dev Lora | black forest labs | ₽307/M | ₽307/M | ₽7 670 |
| stable-diffusion-3 | stability ai | ₽336/M | ₽336/M | ₽8 389 |
| stable-diffusion-3.5-medium | stability ai | ₽336/M | ₽336/M | ₽8 389 |
| Cogview 3 | cogview 3 | ₽340/M | ₽340/M | ₽8 509 |
| gpt 5.4 | openai | ₽180/M | ₽1 079/M | ₽8 988 |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽384/M | ₽384/M | ₽9 588 |
| Flux Fill Dev | black forest labs | ₽384/M | ₽384/M | ₽9 588 |
| recraft ai · recraft-v3 | recraft ai | ₽384/M | ₽384/M | ₽9 588 |
| stable-diffusion-3.5-large-turbo | stability ai | ₽384/M | ₽384/M | ₽9 588 |
| claude 3 5 sonnet coder | claude 3 5 sonnet coder | ₽216/M | ₽1 079/M | ₽9 708 |
| claude 3 sonnet | claude 3 sonnet | ₽216/M | ₽1 079/M | ₽9 708 |
| Claude 3.5 Sonnet | claude 3 5 sonnet | ₽216/M | ₽1 079/M | ₽9 708 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4.5 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4.6 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽296/M | ₽887/M | ₽10 343 |
| hunyuan pro | hunyuan pro | ₽296/M | ₽985/M | ₽10 835 |
| doubao seedance 1 5 pro · 16:9 · 720p · 10s | seedance | ₽444/M | ₽444/M | ₽11 110 |
| gpt realtime | gpt realtime | ₽288/M | ₽1 151/M | ₽11 505 |
| doubao seedance 1 5 pro · 1:1 · 720p · 10s | seedance | ₽466/M | ₽466/M | ₽11 649 |
| doubao seedance 1 5 pro · 4:3 · 720p · 10s | seedance | ₽472/M | ₽472/M | ₽11 793 |
| Baichuan4 | Baichuan4 | ₽479/M | ₽479/M | ₽11 985 |
| Flux Canny Pro | black forest labs | ₽479/M | ₽479/M | ₽11 985 |
| Flux Depth Pro | black forest labs | ₽479/M | ₽479/M | ₽11 985 |
| Flux Fill Pro | black forest labs | ₽479/M | ₽479/M | ₽11 985 |
| ideogram ai · ideogram-v2-turbo | ideogram ai | ₽479/M | ₽479/M | ₽11 985 |
| internlm2_5 20b chat | internlm | ₽479/M | ₽479/M | ₽11 985 |
| doubao seedance 1 5 pro · 21:9 · 720p · 10s | seedance | ₽486/M | ₽486/M | ₽12 152 |
| GLM 4 Plus | glm 4 plus | ₽493/M | ₽493/M | ₽12 313 |
| GLM 4 Vision | glm 4v | ₽493/M | ₽493/M | ₽12 313 |
| gemini 2.0 flash preview image generation | gemini 2.0 flash preview image generation | ₽360/M | ₽1 079/M | ₽12 584 |
| doubao seedance 1 5 pro · 21:9 · 1080p · 5s | seedance | ₽511/M | ₽511/M | ₽12 764 |
| doubao seedance 1 5 pro · 1:1 · 1080p · 5s | seedance | ₽525/M | ₽525/M | ₽13 123 |
| doubao seedance 1 5 pro · 4:3 · 1080p · 5s | seedance | ₽525/M | ₽525/M | ₽13 123 |
| Flux Pro | black forest labs | ₽527/M | ₽527/M | ₽13 183 |
| doubao seedance 1 5 pro · 16:9 · 1080p · 5s | seedance | ₽528/M | ₽528/M | ₽13 195 |
| Step 2 16K | step 2 16k | ₽374/M | ₽1 182/M | ₽13 397 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽394/M | ₽1 182/M | ₽13 791 |
| qwen3 coder plus | qwen | ₽197/M | ₽1 970/M | ₽13 791 |
| doubao seedance 1 5 pro · no_audio | doubao seedance 1 5 pro | ₽575/M | ₽575/M | ₽14 382 |
| flux-1.1-pro-ultra | black forest labs | ₽575/M | ₽575/M | ₽14 382 |
| GLM 4 | glm 4 | ₽575/M | ₽575/M | ₽14 382 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽360/M | ₽1 438/M | ₽14 382 |
| SparkDesk Max | SparkDesk Max | ₽591/M | ₽591/M | ₽14 776 |
| stable-diffusion-3.5-large | stability ai | ₽623/M | ₽623/M | ₽15 580 |
| claude opus 4.5 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.6 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.7 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.8 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| kimi k2 turbo preview anthropic | kimi k2 turbo preview anthropic | ₽479/M | ₽1 438/M | ₽16 782 |
| Cogviewx | cogviewx | ₽681/M | ₽681/M | ₽17 018 |
| step 1 128k | step 1 128k | ₽384/M | ₽1 918/M | ₽17 258 |
| ibm granite · granite-3.0-2b-instruct | ibm granite | ₽288/M | ₽2 397/M | ₽17 737 |
| gpt 5.5 | openai | ₽360/M | ₽2 157/M | ₽17 977 |
| doubao seedance 1 0 lite | doubao seedance 1 0 lite | ₽719/M | ₽719/M | ₽17 977 |
| veo 1.0 generate preview | veo 1.0 generate preview | ₽719/M | ₽719/M | ₽17 977 |
| gpt image 1.5 | openai | ₽360/M | ₽2 301/M | ₽18 696 |
| ideogram ai · ideogram-v2 | ideogram ai | ₽767/M | ₽767/M | ₽19 175 |
| recraft ai · recraft-v3-svg | recraft ai | ₽767/M | ₽767/M | ₽19 175 |
| hunyuan turbo vision | hunyuan turbo vision | ₽788/M | ₽788/M | ₽19 701 |
| ibm granite · granite-3.0-8b-instruct | ibm granite | ₽479/M | ₽2 397/M | ₽21 572 |
| ibm granite · granite-8b-code-instruct-128k | ibm granite | ₽479/M | ₽2 397/M | ₽21 572 |
| llama 2 7b | meta | ₽479/M | ₽2 397/M | ₽21 572 |
| llama 2 7b chat | meta | ₽479/M | ₽2 397/M | ₽21 572 |
| llama 3 8b instruct | meta llama | ₽479/M | ₽2 397/M | ₽21 572 |
| Meta Llama 3 8B | meta llama 3 8b | ₽479/M | ₽2 397/M | ₽21 572 |
| mistralai · mistral-7b-instruct-v0.2 | mistralai | ₽479/M | ₽2 397/M | ₽21 572 |
| mistralai · mistral-7b-v0.1 | mistralai | ₽479/M | ₽2 397/M | ₽21 572 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽887/M | ₽887/M | ₽22 163 |
| step tts mini | step tts mini | ₽887/M | ₽887/M | ₽22 163 |
| sambert v1 | sambert v1 | ₽985/M | ₽985/M | ₽24 626 |
| SenseVoiceSmall | SenseVoiceSmall | ₽985/M | ₽985/M | ₽24 626 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽719/M | ₽2 157/M | ₽25 168 |
| gpt 4 1106 vision preview | gpt 4 1106 vision preview | ₽719/M | ₽2 157/M | ₽25 168 |
| gpt 4 turbo | openai | ₽719/M | ₽2 157/M | ₽25 168 |
| GPT 4 Vision Preview | gpt 4 vision preview | ₽719/M | ₽2 157/M | ₽25 168 |
| doubao seedance 1 5 pro · 21:9 · 1080p · 10s | seedance | ₽1 021/M | ₽1 021/M | ₽25 527 |
| doubao seedance 1 5 pro · 1:1 · 1080p · 10s | seedance | ₽1 048/M | ₽1 048/M | ₽26 210 |
| doubao seedance 1 5 pro · 4:3 · 1080p · 10s | seedance | ₽1 050/M | ₽1 050/M | ₽26 246 |
| doubao seedance 1 5 pro · 16:9 · 1080p · 10s | seedance | ₽1 056/M | ₽1 056/M | ₽26 390 |
| S1 | s1 | ₽1 079/M | ₽1 079/M | ₽26 965 |
| speech 1.5 | speech 1.5 | ₽1 079/M | ₽1 079/M | ₽26 965 |
| speech 1.6 | speech 1.6 | ₽1 079/M | ₽1 079/M | ₽26 965 |
| doubao seedance 1 5 pro | doubao seedance 1 5 pro | ₽1 151/M | ₽1 151/M | ₽28 763 |
| o3 deep research | openai | ₽719/M | ₽2 876/M | ₽28 763 |
| veo 1.0 generate preview frames | veo 1.0 generate preview frames | ₽1 151/M | ₽1 151/M | ₽28 763 |
| claude fable 5 | anthropic | ₽719/M | ₽3 595/M | ₽32 358 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽1 379/M | ₽1 379/M | ₽34 476 |
| Text Davinci 002 | text davinci 002 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| doubao seedance 2 0 fast · video_input | doubao seedance 2 0 fast | ₽1 582/M | ₽1 582/M | ₽39 549 |
| gpt image 1 | openai | ₽719/M | ₽5 753/M | ₽43 145 |
| O1 | openai | ₽1 079/M | ₽4 314/M | ₽43 145 |
| ibm granite · granite-20b-code-instruct-8k | ibm granite | ₽959/M | ₽4 794/M | ₽43 145 |
| llama 2 13b | meta | ₽959/M | ₽4 794/M | ₽43 145 |
| llama 2 13b chat | meta | ₽959/M | ₽4 794/M | ₽43 145 |
| claude 3 opus | claude 3 opus | ₽1 079/M | ₽5 393/M | ₽48 538 |
| claude opus 4 | anthropic | ₽1 079/M | ₽5 393/M | ₽48 538 |
| speech 01 turbo | speech 01 turbo | ₽1 970/M | ₽1 970/M | ₽49 252 |
| speech 02 turbo | speech 02 turbo | ₽1 970/M | ₽1 970/M | ₽49 252 |
| doubao seedance 2 0 · video_input | doubao seedance 2 0 | ₽2 013/M | ₽2 013/M | ₽50 335 |
| Flux Kontext Max | flux kontext max | ₽2 157/M | ₽2 157/M | ₽53 931 |
| Flux Kontext Pro | black forest labs | ₽2 157/M | ₽2 157/M | ₽53 931 |
| mj chat | mj chat | ₽2 157/M | ₽2 157/M | ₽53 931 |
| veo 3.0 generate preview frames | veo 3.0 generate preview frames | ₽2 157/M | ₽2 157/M | ₽53 931 |
| z image | z image | ₽2 157/M | ₽2 157/M | ₽53 931 |
| o3 pro | openai | ₽1 438/M | ₽5 753/M | ₽57 526 |
| gpt 5 pro | openai | ₽1 079/M | ₽8 629/M | ₽64 717 |
| gpt 4 gizmo * | gpt 4 gizmo * | ₽2 157/M | ₽4 314/M | ₽64 717 |
| doubao seedance 2 0 | doubao seedance 2 0 | ₽2 661/M | ₽2 661/M | ₽66 515 |
| Dall E 2 | dall e 2 | ₽2 876/M | ₽2 876/M | ₽71 908 |
| Dall E 3 | dall e 3 | ₽2 876/M | ₽2 876/M | ₽71 908 |
| paraformer realtime v2 | paraformer realtime v2 | ₽3 448/M | ₽3 448/M | ₽86 191 |
| speech 01 hd | speech 01 hd | ₽3 448/M | ₽3 448/M | ₽86 191 |
| speech 02 hd | speech 02 hd | ₽3 448/M | ₽3 448/M | ₽86 191 |
| wan2.1 14b | wan2.1 14b | ₽3 595/M | ₽3 595/M | ₽89 885 |
| gpt 5.2 pro | openai | ₽1 510/M | ₽12 080/M | ₽90 604 |
| mistralai · mixtral-8x7b-instruct-v0.1 | mistralai | ₽2 876/M | ₽9 588/M | ₽105 465 |
| gpt 5.4 pro | openai | ₽2 157/M | ₽12 943/M | ₽107 862 |
| gpt 5.5 pro | openai | ₽2 157/M | ₽12 943/M | ₽107 862 |
| Doubao tts | Doubao tts | ₽4 925/M | ₽4 925/M | ₽123 130 |
| gpt 5.1 codex mini | openai | ₽2 157/M | ₽17 258/M | ₽129 434 |
| GPT 4 32K | gpt 4 32k | ₽4 314/M | ₽8 629/M | ₽129 434 |
| codegemma 1.1 7b | codegemma 1.1 7b | ₽5 393/M | ₽5 393/M | ₽134 827 |
| codegemma 7b | codegemma 7b | ₽5 393/M | ₽5 393/M | ₽134 827 |
| gemma 2 2b it | gemma 2 2b it | ₽5 393/M | ₽5 393/M | ₽134 827 |
| gemma 3 12b it | ₽5 393/M | ₽5 393/M | ₽134 827 | |
| gemma 3 27b it | ₽5 393/M | ₽5 393/M | ₽134 827 | |
| Imagen 3.0 Generate 002 | imagen 3.0 generate 002 | ₽5 393/M | ₽5 393/M | ₽134 827 |
| Veo 3 | ₽5 393/M | ₽5 393/M | ₽134 827 | |
| veo-3.1 | veo 3 1 | ₽5 393/M | ₽5 393/M | ₽134 827 |
| gpt 4.5 preview | gpt 4.5 preview | ₽5 393/M | ₽10 786/M | ₽161 792 |
| kling v1 | kling v1 | ₽7 191/M | ₽7 191/M | ₽179 769 |
| Claude 2 | claude 2 | ₽5 393/M | ₽16 179/M | ₽188 758 |
| Claude 2.0 | claude 2.0 | ₽5 393/M | ₽16 179/M | ₽188 758 |
| Claude 2.1 | claude 2.1 | ₽5 393/M | ₽16 179/M | ₽188 758 |
| step 1 256k | step 1 256k | ₽9 358/M | ₽2 955/M | ₽201 933 |
| Gemini | gemini exp 1206 | ₽5 393/M | ₽21 572/M | ₽215 723 |
| gemini 1.5 flash 8b | gemini 1.5 flash 8b | ₽5 393/M | ₽21 572/M | ₽215 723 |
| Gemini 2.5 Computer Use Preview 10-2025 | gemini 2.5 computer use preview 10 2025 | ₽5 393/M | ₽21 572/M | ₽215 723 |
| gemini deep research | gemini deep research | ₽5 393/M | ₽21 572/M | ₽215 723 |
| Gemini Flash Latest | gemini flash latest | ₽5 393/M | ₽21 572/M | ₽215 723 |
| Gemini Flash-Lite Latest | gemini flash lite latest nothinking | ₽5 393/M | ₽21 572/M | ₽215 723 |
| gemini live 2.5 flash | gemini live 2.5 flash | ₽5 393/M | ₽21 572/M | ₽215 723 |
| gemini live 2.5 flash preview native audio | gemini live 2.5 flash preview native audio | ₽5 393/M | ₽21 572/M | ₽215 723 |
| kling v1 5 | kling v1 5 | ₽8 629/M | ₽8 629/M | ₽215 723 |
| claude opus 4 5 20251101 an | claude opus 4 5 20251101 an | ₽5 393/M | ₽26 965/M | ₽242 688 |
| llama 2 70b | meta | ₽6 232/M | ₽26 366/M | ₽256 471 |
| llama 2 70b chat | meta | ₽6 232/M | ₽26 366/M | ₽256 471 |
| llama 3 70b instruct | meta llama | ₽6 232/M | ₽26 366/M | ₽256 471 |
| Meta Llama 3 70B | meta llama 3 70b | ₽6 232/M | ₽26 366/M | ₽256 471 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽5 393/M | ₽43 145/M | ₽323 585 |
| kling v2 1 | kling v2 1 | ₽12 943/M | ₽12 943/M | ₽323 585 |
| o1 pro | openai | ₽10 786/M | ₽43 145/M | ₽431 446 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽5 393/M | ₽125 838/M | ₽737 054 |
| parse pdf | parse pdf | ₽197 007/M | ₽197 007/M | ₽4 925 185 |
Изображения
за изображение · 30
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Изображения
за изображение · 30
| Модель | Maker | Цена |
|---|---|---|
| gemini 2.5 flash image | ₽1.44/изобр. | |
| gpt 4o image | gpt 4o image | ₽1.44/изобр. |
| kling image v1 | kling image v1 | ₽1.80/изобр. |
| Qwen Image Edit 2509 | Qwen Image Edit 2509 | ₽1.97/изобр. |
| Z Image Turbo | z image turbo | ₽1.98/изобр. |
| Qwen Image 2.0 | qwen image 2.0 | ₽2.06/изобр. |
| Qwen Image Edit Plus | qwen | ₽2.06/изобр. |
| Wan2.7 Image | wan2.7 image | ₽2.06/изобр. |
| doubao seedream 5 0 260128 | doubao seedream 5 0 260128 | ₽2.16/изобр. |
| Gemini 3.1 Flash Image | gemini 3.1 flash image | ₽2.16/изобр. |
| Qwen Image | qwen image | ₽2.44/изобр. |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽2.52/изобр. |
| GPT Image 2 | gpt image 2 | ₽3.60/изобр. |
| Qwen Image 2.0 Pro | qwen image 2.0 pro | ₽5.13/изобр. |
| qwen image edit max | qwen image edit max | ₽5.13/изобр. |
| Qwen Image Max | qwen image max | ₽5.13/изобр. |
| Wan2.7 Image Pro | wan2.7 image pro | ₽5.13/изобр. |
| Gemini 3 Pro Image | gemini 3 pro image | ₽7.19/изобр. |
| kling image standard | kling image standard | ₽7.19/изобр. |
| kling image v2 1 | kling image v2 1 | ₽7.19/изобр. |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽7.91/изобр. |
| gemini 3 pro image preview 4k | gemini 3 pro image preview 4k | ₽8.63/изобр. |
| vidu image | vidu image | ₽13.48/изобр. |
| kling image expand | kling image expand | ₽14.38/изобр. |
| kling image hd | kling image hd | ₽14.38/изобр. |
| kling multi image2image | kling multi image2image | ₽28.76/изобр. |
| image_to_video · gen3a_turbo · 5s | runway | ₽71.91/изобр. |
| image_to_video · gen4_turbo · 5s | runway | ₽71.91/изобр. |
| image_to_video · gen3a_turbo · 10s | runway | ₽144/изобр. |
| image_to_video · gen4_turbo · 10s | runway | ₽144/изобр. |
За запрос
фиксированная цена за вызов · 420
▼
За запрос
фиксированная цена за вызов · 420
Без публичной цены
нет данных в открытых источниках · 1
▼
Без публичной цены
нет данных в открытых источниках · 1
| Модель | Maker | Примечание |
|---|---|---|
| mj_turbo_modal | mj_turbo_modal | — |
Текст и чат
оплата за токены · 800
▼
Текст и чат
оплата за токены · 800
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| search serper | search serper | ₽0.0002/M | ₽0.0002/M | ₽0 |
| Llama 3.1 8B Instant | llama 3.1 8b instant | ₽0.0005/M | ₽0.0005/M | ₽0 |
| llama 3.2 11b text preview | llama 3.2 11b text preview | ₽0.0005/M | ₽0.0005/M | ₽0 |
| Llama 3.2 11B Vision Preview | meta llama | ₽0.0005/M | ₽0.0005/M | ₽0 |
| Llama 3.2 1B Preview | meta llama | ₽0.0005/M | ₽0.0005/M | ₽0 |
| Llama 3.2 3B Preview | meta llama | ₽0.0005/M | ₽0.0005/M | ₽0 |
| llama guard 3 8b | meta llama | ₽0.0005/M | ₽0.0005/M | ₽0 |
| Llama3 Groq 8B 8192 Tool Use Preview | llama3 groq 8b 8192 tool use preview | ₽0.0018/M | ₽0.0018/M | ₽0 |
| Llama 3.1 70B Versatile | llama 3.1 70b versatile | ₽0.0057/M | ₽0.0057/M | ₽0 |
| llama 3.2 90b text preview | llama 3.2 90b text preview | ₽0.0057/M | ₽0.0057/M | ₽0 |
| Llama 3.1 405B (reasoning) | llama 3.1 405b reasoning | ₽0.0085/M | ₽0.0085/M | ₽0 |
| Llama3 Groq 70B 8192 Tool Use Preview | llama3 groq 70b 8192 tool use preview | ₽0.0085/M | ₽0.0085/M | ₽0 |
| gemma2 9b it | gemma2 9b it | ₽0.02/M | ₽0.02/M | ₽0 |
| search gpts chat | search gpts chat | ₽0.02/M | ₽0.02/M | ₽0 |
| tongyi embedding vision flash | tongyi embedding vision flash | ₽0.03/M | ₽0.03/M | ₽1 |
| tongyi embedding vision plus | tongyi embedding vision plus | ₽0.07/M | ₽0.07/M | ₽2 |
| qwen2.5 vl embedding | qwen2.5 vl embedding | ₽0.26/M | ₽0.26/M | ₽6 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽0.48/M | ₽0.96/M | ₽14 |
| gpt 4o mini transcribe | gpt 4o mini transcribe | ₽0.43/M | ₽1.73/M | ₽17 |
| ERNIE Lite 8K | ERNIE Lite 8K | ₽0.96/M | ₽0.96/M | ₽24 |
| ERNIE Speed 128K | ERNIE Speed 128K | ₽0.96/M | ₽0.96/M | ₽24 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽0.96/M | ₽0.96/M | ₽24 |
| Qwen2 1.5b Instruct | Qwen | ₽0.96/M | ₽0.96/M | ₽24 |
| text embedding async v1 | text embedding async v1 | ₽0.96/M | ₽0.96/M | ₽24 |
| codegeex 4 | codegeex 4 | ₽0.98/M | ₽0.98/M | ₽25 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽0.98/M | ₽0.98/M | ₽25 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽0.98/M | ₽0.98/M | ₽25 |
| GLM 4 Flash | glm 4 flash | ₽0.98/M | ₽0.98/M | ₽25 |
| glm 4 flashx | glm 4 flashx | ₽0.98/M | ₽0.98/M | ₽25 |
| glm 4v flash | glm 4v flash | ₽0.98/M | ₽0.98/M | ₽25 |
| GLM Z1 Flash | GLM Z1 Flash | ₽0.98/M | ₽0.98/M | ₽25 |
| hunyuan lite | hunyuan lite | ₽0.98/M | ₽0.98/M | ₽25 |
| Jina Embeddings V3 | jina embeddings v3 | ₽0.98/M | ₽0.98/M | ₽25 |
| Mistral Embed | mistral embed | ₽0.96/M | ₽2.88/M | ₽34 |
| embedding_s1_v1 | embedding_s1_v1 | ₽1.37/M | ₽1.37/M | ₽34 |
| semantic_similarity_s1_v1 | semantic_similarity_s1_v1 | ₽1.37/M | ₽1.37/M | ₽34 |
| gpt 4o transcribe | gpt 4o transcribe | ₽0.86/M | ₽3.45/M | ₽35 |
| text embedding 3 small | openai | ₽1.44/M | ₽1.44/M | ₽36 |
| jina clip v1 | jina clip v1 | ₽1.48/M | ₽1.48/M | ₽37 |
| jina colbert v1 en | jina colbert v1 en | ₽1.48/M | ₽1.48/M | ₽37 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽1.48/M | ₽1.48/M | ₽37 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽1.48/M | ₽1.48/M | ₽37 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽1.48/M | ₽1.48/M | ₽37 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽1.48/M | ₽1.48/M | ₽37 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽1.48/M | ₽1.48/M | ₽37 |
| Jina Reranker M0 | jina reranker m0 | ₽1.48/M | ₽1.48/M | ₽37 |
| jina reranker v1 base en | jina reranker v1 base en | ₽1.48/M | ₽1.48/M | ₽37 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽1.48/M | ₽1.48/M | ₽37 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽1.48/M | ₽1.48/M | ₽37 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽1.48/M | ₽1.48/M | ₽37 |
| bge-base-en-v1.5 | baai | ₽1.92/M | ₽1.92/M | ₽48 |
| chatglm3 6b | THUDM | ₽1.92/M | ₽1.92/M | ₽48 |
| internlm2_5 7b chat | internlm | ₽1.92/M | ₽1.92/M | ₽48 |
| msmarco bert base dot v5 | msmarco bert base dot v5 | ₽1.92/M | ₽1.92/M | ₽48 |
| Qwen2 7B Instruct | Qwen | ₽1.92/M | ₽1.92/M | ₽48 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽1.92/M | ₽1.92/M | ₽48 |
| Text Moderation 007 | text moderation 007 | ₽1.92/M | ₽1.92/M | ₽48 |
| Yi 1.5 6B Chat | 01 ai | ₽1.92/M | ₽1.92/M | ₽48 |
| tts 1 | openai | ₽2.16/M | ₽2.16/M | ₽54 |
| Tts 1 1106 | tts 1 1106 | ₽2.16/M | ₽2.16/M | ₽54 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽1.97/M | ₽3.94/M | ₽59 |
| open mistral 7b | open mistral 7b | ₽2.40/M | ₽2.40/M | ₽60 |
| mixtral 8x7b 32768 | mixtral 8x7b 32768 | ₽2.49/M | ₽2.49/M | ₽62 |
| Chatglm_lite | chatglm_lite | ₽2.73/M | ₽2.73/M | ₽68 |
| glm 4 9b chat | THUDM | ₽2.88/M | ₽2.88/M | ₽72 |
| gpt 4o mini tts | openai | ₽2.16/M | ₽8.63/M | ₽86 |
| Doubao Lite 32K | Doubao lite 32k | ₽2.88/M | ₽5.75/M | ₽86 |
| Doubao Lite 4K | Doubao lite 4k | ₽2.88/M | ₽5.75/M | ₽86 |
| Llama3 8B 8192(33) | llama3 8b 8192(33) | ₽2.88/M | ₽5.75/M | ₽86 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽2.96/M | ₽5.91/M | ₽89 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽2.96/M | ₽5.91/M | ₽89 |
| ERNIE Character 8K | ERNIE Character 8K | ₽2.96/M | ₽5.91/M | ₽89 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽2.96/M | ₽5.91/M | ₽89 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽2.96/M | ₽5.91/M | ₽89 |
| Qwen Turbo | qwen turbo | ₽2.96/M | ₽5.91/M | ₽89 |
| Ascend · DeepSeek-V3 | Ascend | ₽3.84/M | ₽3.84/M | ₽96 |
| Bge Large En V1.5 | BAAI | ₽3.84/M | ₽3.84/M | ₽96 |
| Llama 3.2 3B Instruct Turbo | meta llama | ₽3.84/M | ₽3.84/M | ₽96 |
| UAE Large V1 | UAE Large V1 | ₽3.84/M | ₽3.84/M | ₽96 |
| yi spark | yi spark | ₽3.84/M | ₽3.84/M | ₽96 |
| tts 1 hd | openai | ₽4.31/M | ₽4.31/M | ₽108 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽4.31/M | ₽4.31/M | ₽108 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽2.88/M | ₽11.51/M | ₽115 |
| Qwen3 0.6b | qwen3 0.6b | ₽2.96/M | ₽11.82/M | ₽118 |
| Qwen3 1.7b | qwen3 1.7b | ₽2.96/M | ₽11.82/M | ₽118 |
| Qwen3 4B | qwen3 4b | ₽2.96/M | ₽11.82/M | ₽118 |
| chronos hermes 13b | chronos hermes 13b | ₽4.79/M | ₽4.79/M | ₽120 |
| Code Davinci Edit 001 | code davinci edit 001 | ₽4.79/M | ₽4.79/M | ₽120 |
| CodeLlama 13b Instruct hf | CodeLlama 13b Instruct hf | ₽4.79/M | ₽4.79/M | ₽120 |
| CodeLlama 7b Instruct hf | CodeLlama 7b Instruct hf | ₽4.79/M | ₽4.79/M | ₽120 |
| dbrx instruct | dbrx instruct | ₽4.79/M | ₽4.79/M | ₽120 |
| Doubao embedding | Doubao embedding | ₽4.79/M | ₽4.79/M | ₽120 |
| gemma 2b it | gemma 2b it | ₽4.79/M | ₽4.79/M | ₽120 |
| Gemma 7B It | gemma 7b it | ₽4.79/M | ₽4.79/M | ₽120 |
| Llama 2 13b chat hf | Llama 2 13b chat hf | ₽4.79/M | ₽4.79/M | ₽120 |
| Llama 2 7B 32K Instruct | Llama 2 7B 32K Instruct | ₽4.79/M | ₽4.79/M | ₽120 |
| Llama 2 7b chat hf | Llama 2 7b chat hf | ₽4.79/M | ₽4.79/M | ₽120 |
| Llama 3 8b chat hf | Llama 3 8b chat hf | ₽4.79/M | ₽4.79/M | ₽120 |
| Meta Llama 3 8B Instruct Lite | Meta Llama 3 8B Instruct Lite | ₽4.79/M | ₽4.79/M | ₽120 |
| Mistral 7B Instruct v0.1 | Mistral 7B Instruct v0.1 | ₽4.79/M | ₽4.79/M | ₽120 |
| Mistral 7B Instruct v0.2 | Mistral 7B Instruct v0.2 | ₽4.79/M | ₽4.79/M | ₽120 |
| Mistral 7B Instruct v0.3 | Mistral 7B Instruct v0.3 | ₽4.79/M | ₽4.79/M | ₽120 |
| Mistral 7B OpenOrca | Mistral 7B OpenOrca | ₽4.79/M | ₽4.79/M | ₽120 |
| mistralai · Mistral-7B-Instruct-v0.3 | mistralai | ₽4.79/M | ₽4.79/M | ₽120 |
| Mythomax L2 13B | Gryphe | ₽4.79/M | ₽4.79/M | ₽120 |
| Nous Capybara 7B V1p9 | Nous Capybara 7B V1p9 | ₽4.79/M | ₽4.79/M | ₽120 |
| Nous Hermes 2 Mistral 7B DPO | Nous Hermes 2 Mistral 7B DPO | ₽4.79/M | ₽4.79/M | ₽120 |
| Nous Hermes llama 2 7b | Nous Hermes llama 2 7b | ₽4.79/M | ₽4.79/M | ₽120 |
| Nous Hermes Llama2 13b | Nous Hermes Llama2 13b | ₽4.79/M | ₽4.79/M | ₽120 |
| OLMo 7B | OLMo 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| OLMo 7B Twin 2T | OLMo 7B Twin 2T | ₽4.79/M | ₽4.79/M | ₽120 |
| openchat 3.5 1210 | openchat 3.5 1210 | ₽4.79/M | ₽4.79/M | ₽120 |
| OpenGVLab · InternVL2-26B | OpenGVLab | ₽4.79/M | ₽4.79/M | ₽120 |
| OpenHermes 2 Mistral 7B | OpenHermes 2 Mistral 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| OpenHermes 2p5 Mistral 7B | OpenHermes 2p5 Mistral 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| Qwen1.5 4B Chat | Qwen1.5 4B Chat | ₽4.79/M | ₽4.79/M | ₽120 |
| RedPajama INCITE 7B Chat | RedPajama INCITE 7B Chat | ₽4.79/M | ₽4.79/M | ₽120 |
| ReMM SLERP L2 13B | ReMM SLERP L2 13B | ₽4.79/M | ₽4.79/M | ₽120 |
| Snorkel Mistral PairRM DPO | Snorkel Mistral PairRM DPO | ₽4.79/M | ₽4.79/M | ₽120 |
| snowflake arctic instruct | snowflake arctic instruct | ₽4.79/M | ₽4.79/M | ₽120 |
| SOLAR 10.7B Instruct v1.0 | SOLAR 10.7B Instruct v1.0 | ₽4.79/M | ₽4.79/M | ₽120 |
| StripedHyena Nous 7B | StripedHyena Nous 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| Text Moderation | text moderation latest | ₽4.79/M | ₽4.79/M | ₽120 |
| Text Moderation Stable | text moderation stable | ₽4.79/M | ₽4.79/M | ₽120 |
| Toppy M 7B | Toppy M 7B | ₽4.79/M | ₽4.79/M | ₽120 |
| vicuna 13b v1.5 | vicuna 13b v1.5 | ₽4.79/M | ₽4.79/M | ₽120 |
| vicuna 7b v1.5 | vicuna 7b v1.5 | ₽4.79/M | ₽4.79/M | ₽120 |
| WizardLM 13B V1.2 | WizardLM 13B V1.2 | ₽4.79/M | ₽4.79/M | ₽120 |
| Yi 1.5 34B Chat | Yi 1.5 34B Chat | ₽4.79/M | ₽4.79/M | ₽120 |
| Yi 1.5 9B Chat | Yi 1.5 9B Chat | ₽4.79/M | ₽4.79/M | ₽120 |
| Yi 1.5 9B Chat 16K | Yi 1.5 9B Chat 16K | ₽4.79/M | ₽4.79/M | ₽120 |
| Bce Reranker Base | bce reranker base | ₽4.93/M | ₽4.93/M | ₽123 |
| Bge Large En | bge large en | ₽4.93/M | ₽4.93/M | ₽123 |
| Bge Large Zh | bge large zh | ₽4.93/M | ₽4.93/M | ₽123 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽4.93/M | ₽4.93/M | ₽123 |
| Embedding 2 | embedding 2 | ₽4.93/M | ₽4.93/M | ₽123 |
| Embedding 3 | embedding 3 | ₽4.93/M | ₽4.93/M | ₽123 |
| Embedding V1 | embedding 001 | ₽4.93/M | ₽4.93/M | ₽123 |
| glm z1 air | glm z1 air | ₽4.93/M | ₽4.93/M | ₽123 |
| Qwen3 Embedding 0.6b | qwen3 embedding 0.6b | ₽4.93/M | ₽4.93/M | ₽123 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽4.93/M | ₽4.93/M | ₽123 |
| Tao 8K | tao 8k | ₽4.93/M | ₽4.93/M | ₽123 |
| Text Embedding V1 | text embedding 004 | ₽4.93/M | ₽4.93/M | ₽123 |
| DeepSeek V2.5 | DeepSeek V2.5 | ₽5.75/M | ₽1.73/M | ₽124 |
| BLOOMZ 7B | BLOOMZ 7B | ₽5.45/M | ₽5.45/M | ₽136 |
| deepseek coder | deepseek coder | ₽4.79/M | ₽9.59/M | ₽144 |
| Baichuan4 Air | Baichuan4 Air | ₽5.75/M | ₽5.75/M | ₽144 |
| gemma 2 9b it | gemma 2 9b it | ₽5.75/M | ₽5.75/M | ₽144 |
| Llama 3.1 8B | llama 3.1 8b | ₽5.75/M | ₽5.75/M | ₽144 |
| Meta Llama 3.1 8B Instruct Turbo | Meta Llama 3.1 8B Instruct Turbo | ₽5.75/M | ₽5.75/M | ₽144 |
| MythoMax L2 13b Lite | Gryphe | ₽5.75/M | ₽5.75/M | ₽144 |
| qwen 2.5 coder 32b instruct | qwen | ₽5.75/M | ₽5.75/M | ₽144 |
| Qwen2.5 7B Instruct | Qwen | ₽5.75/M | ₽5.75/M | ₽144 |
| QwQ 32B | Qwen | ₽5.75/M | ₽5.75/M | ₽144 |
| Llama3 70B 8192 | llama3 70b 8192 | ₽5.66/M | ₽7.57/M | ₽151 |
| mistralai · Pixtral-12B-2409 | mistralai | ₽6.33/M | ₽6.33/M | ₽158 |
| Qwen2 57B A14B Instruct | Qwen | ₽6.33/M | ₽6.33/M | ₽158 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽6.14/M | ₽7.67/M | ₽161 |
| Command R | command r | ₽4.79/M | ₽14.38/M | ₽168 |
| Chatglm_std | chatglm_std | ₽6.71/M | ₽6.71/M | ₽168 |
| Chatglm_turbo | chatglm_turbo | ₽6.71/M | ₽6.71/M | ₽168 |
| Doubao embedding large | Doubao embedding large | ₽6.71/M | ₽6.71/M | ₽168 |
| open mixtral 8x7b | open mixtral 8x7b | ₽6.71/M | ₽6.71/M | ₽168 |
| TeleAI · TeleChat2 | TeleAI | ₽6.71/M | ₽6.71/M | ₽168 |
| TeleAI · TeleMM | TeleAI | ₽6.71/M | ₽6.71/M | ₽168 |
| hunyuan translation lite | hunyuan translation lite | ₽6.81/M | ₽6.81/M | ₽170 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽6.90/M | ₽6.90/M | ₽172 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽6.90/M | ₽6.90/M | ₽172 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽6.90/M | ₽6.90/M | ₽172 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽6.90/M | ₽6.90/M | ₽172 |
| gte rerank | gte rerank | ₽6.90/M | ₽6.90/M | ₽172 |
| hunyuan embedding | hunyuan embedding | ₽6.90/M | ₽6.90/M | ₽172 |
| DeepSeek V2 Chat | deepseek ai | ₽5.75/M | ₽11.51/M | ₽173 |
| Sora 2 | sora 2 | ₽7.19/M | ₽7.19/M | ₽180 |
| Text Embedding ADA | text embedding ada | ₽7.19/M | ₽7.19/M | ₽180 |
| DeepSeek Coder V2 Instruct | deepseek ai | ₽6.33/M | ₽12.66/M | ₽190 |
| DeepSeek V2.5 | deepseek ai | ₽6.33/M | ₽12.66/M | ₽190 |
| Qwen Long | qwen long | ₽4.93/M | ₽19.70/M | ₽197 |
| qwen3 8b | qwen | ₽4.93/M | ₽19.70/M | ₽197 |
| Doubao Lite 128K | Doubao lite 128k | ₽7.67/M | ₽9.59/M | ₽201 |
| Yi VL Plus | yi vl plus | ₽8.05/M | ₽8.05/M | ₽201 |
| gpt 5 nano | openai | ₽3.60/M | ₽28.76/M | ₽216 |
| Bge Reranker V2 M3 | BAAI | ₽8.87/M | ₽8.87/M | ₽222 |
| text embedding 3 large | openai | ₽9.35/M | ₽9.35/M | ₽234 |
| Qwen Mt Turbo | qwen mt turbo | ₽6.90/M | ₽19.21/M | ₽234 |
| o3fan deepsearch v1 | o3fan deepsearch v1 | ₽7.91/M | ₽15.82/M | ₽237 |
| alpaca 7b | alpaca 7b | ₽9.59/M | ₽9.59/M | ₽240 |
| Babbage | babbage | ₽9.59/M | ₽9.59/M | ₽240 |
| CodeLlama 34b Instruct hf | CodeLlama 34b Instruct hf | ₽9.59/M | ₽9.59/M | ₽240 |
| dolphin 2.5 mixtral 8x7b | dolphin 2.5 mixtral 8x7b | ₽9.59/M | ₽9.59/M | ₽240 |
| embedding bert 512 v1 | embedding bert 512 v1 | ₽9.59/M | ₽9.59/M | ₽240 |
| embedding_s1_v1.2 | embedding_s1_v1.2 | ₽9.59/M | ₽9.59/M | ₽240 |
| glm4 9B chat | glm4 9B chat | ₽9.59/M | ₽9.59/M | ₽240 |
| Llama 3.2 11B Vision Instruct Turbo | meta llama | ₽9.59/M | ₽9.59/M | ₽240 |
| Meta Llama 3 70B Instruct Lite | Meta Llama 3 70B Instruct Lite | ₽9.59/M | ₽9.59/M | ₽240 |
| Meta Llama 3 8B Instruct Turbo | Meta Llama 3 8B Instruct Turbo | ₽9.59/M | ₽9.59/M | ₽240 |
| Mixtral 8x7B Instruct v0.1 | Mixtral 8x7B Instruct v0.1 | ₽9.59/M | ₽9.59/M | ₽240 |
| net glm 3 turbo | net glm 3 turbo | ₽9.59/M | ₽9.59/M | ₽240 |
| Nous Hermes 2 Yi 34B | Nous Hermes 2 Yi 34B | ₽9.59/M | ₽9.59/M | ₽240 |
| ocoolai helper | ocoolai helper | ₽9.59/M | ₽9.59/M | ₽240 |
| Qianfan Chinese Llama 2 13B | qianfan chinese llama 2 13b | ₽9.59/M | ₽9.59/M | ₽240 |
| Qianfan Chinese Llama 2 70B | Qianfan Chinese Llama 2 70B | ₽9.59/M | ₽9.59/M | ₽240 |
| Qianfan Chinese Llama 2 7B | Qianfan Chinese Llama 2 7B | ₽9.59/M | ₽9.59/M | ₽240 |
| RedPajama INCITE Chat 3B v1 | RedPajama INCITE Chat 3B v1 | ₽9.59/M | ₽9.59/M | ₽240 |
| speech 02 | speech 02 | ₽9.59/M | ₽9.59/M | ₽240 |
| Wizardlm 2 8x22b | microsoft | ₽9.59/M | ₽9.59/M | ₽240 |
| Yi 34B Chat | Yi 34B Chat | ₽9.59/M | ₽9.59/M | ₽240 |
| yi 34b chat 200k | yi 34b chat 200k | ₽9.59/M | ₽9.59/M | ₽240 |
| Yi Medium | yi medium | ₽9.59/M | ₽9.59/M | ₽240 |
| Yi Lightning | yi lightning | ₽9.75/M | ₽9.75/M | ₽244 |
| abab6.5s chat | abab6.5s chat | ₽9.85/M | ₽9.85/M | ₽246 |
| charglm 4 | charglm 4 | ₽9.85/M | ₽9.85/M | ₽246 |
| GLM 3 Turbo | glm 3 turbo | ₽9.85/M | ₽9.85/M | ₽246 |
| glm 4 air | glm 4 air | ₽9.85/M | ₽9.85/M | ₽246 |
| glm 4 long | glm 4 long | ₽9.85/M | ₽9.85/M | ₽246 |
| SparkDesk Lite | SparkDesk Lite | ₽9.85/M | ₽9.85/M | ₽246 |
| Qwen3 Next 80B A3B | Qwen | ₽6.17/M | ₽24.68/M | ₽247 |
| Doubao Pro 32K | Doubao pro 32k | ₽7.67/M | ₽19.18/M | ₽249 |
| Doubao Pro 4K | Doubao pro 4k | ₽7.67/M | ₽19.18/M | ₽249 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽7.88/M | ₽19.70/M | ₽256 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽7.88/M | ₽19.70/M | ₽256 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽7.88/M | ₽19.70/M | ₽256 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽7.88/M | ₽19.70/M | ₽256 |
| hunyuan standard | hunyuan standard | ₽7.88/M | ₽19.70/M | ₽256 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽7.88/M | ₽19.70/M | ₽256 |
| qwen plus | qwen | ₽7.88/M | ₽19.70/M | ₽256 |
| gemini 2.5 flash | ₽7.19/M | ₽28.76/M | ₽288 | |
| gemini 2.5 flash lite | ₽7.19/M | ₽28.76/M | ₽288 | |
| gpt 4.1 nano | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| gpt 4o mini | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| gpt oss 20b | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| Yi Large Rag | yi large rag | ₽11.51/M | ₽11.51/M | ₽288 |
| Command | command | ₽9.59/M | ₽19.18/M | ₽288 |
| Command Light | command light | ₽9.59/M | ₽19.18/M | ₽288 |
| Command Light Nightly | command light nightly | ₽9.59/M | ₽19.18/M | ₽288 |
| Command Nightly | command nightly | ₽9.59/M | ₽19.18/M | ₽288 |
| deepseek coder 33b instruct | deepseek coder 33b instruct | ₽9.59/M | ₽19.18/M | ₽288 |
| deepseek llm 67b chat | deepseek llm 67b chat | ₽9.59/M | ₽19.18/M | ₽288 |
| DeepSeek Llm 67B Chat | deepseek ai | ₽9.59/M | ₽19.18/M | ₽288 |
| qwen2 math 7b instruct | qwen2 math 7b instruct | ₽9.59/M | ₽19.18/M | ₽288 |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | ₽14.38/M | ₽1.44/M | ₽295 |
| Qwen1.5 7B Chat | Qwen1.5 7B Chat | ₽9.85/M | ₽19.70/M | ₽296 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽9.85/M | ₽19.70/M | ₽296 |
| step 2 mini | step 2 mini | ₽9.85/M | ₽19.70/M | ₽296 |
| deepseek v4 flash max | deepseek v4 flash max | ₽10.21/M | ₽20.42/M | ₽306 |
| deepseek v4 flash none | deepseek v4 flash none | ₽10.21/M | ₽20.42/M | ₽306 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽12.32/M | ₽12.32/M | ₽308 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽7.88/M | ₽31.52/M | ₽315 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽7.88/M | ₽31.52/M | ₽315 |
| ChatStd | ChatStd | ₽13.61/M | ₽13.61/M | ₽340 |
| GLM Zero Preview | glm zero preview | ₽13.61/M | ₽13.61/M | ₽340 |
| Chatglm_pro | chatglm_pro | ₽13.69/M | ₽13.69/M | ₽342 |
| gemma 2 27b it | ₽14.38/M | ₽14.38/M | ₽360 | |
| KAT Coder Air V1 | KAT Coder Air V1 | ₽14.38/M | ₽14.38/M | ₽360 |
| KAT Coder Pro V1 | KAT Coder Pro V1 | ₽14.38/M | ₽14.38/M | ₽360 |
| Omni Moderation | omni moderation latest | ₽14.38/M | ₽14.38/M | ₽360 |
| wan2.2 i2v flash | wan2.2 i2v flash | ₽14.38/M | ₽14.38/M | ₽360 |
| wan2.2 kf2v flash | wan2.2 kf2v flash | ₽14.38/M | ₽14.38/M | ₽360 |
| Ascend · DeepSeek-R1 | Ascend | ₽9.59/M | ₽38.35/M | ₽384 |
| step 1 flash | step 1 flash | ₽9.59/M | ₽38.35/M | ₽384 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽9.64/M | ₽38.54/M | ₽385 |
| hunyuan t1 latest | hunyuan t1 20250321 | ₽9.85/M | ₽39.40/M | ₽394 |
| qwen3 14b | qwen | ₽9.85/M | ₽39.40/M | ₽394 |
| Qwen3.5 Plus | qwen3.5 plus | ₽7.88/M | ₽47.29/M | ₽394 |
| ERNIE 3.5 4K 0205 | ERNIE 3.5 4K 0205 | ₽16.34/M | ₽16.34/M | ₽408 |
| ERNIE 3.5 8K 1222 | ERNIE 3.5 8K 1222 | ₽16.34/M | ₽16.34/M | ₽408 |
| doubao seed 1 6 flash 250828 | doubao seed 1 6 flash 250828 | ₽5.91/M | ₽59.10/M | ₽414 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽5.91/M | ₽59.10/M | ₽414 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽11.82/M | ₽35.46/M | ₽414 |
| Qwen3 VL Flash | qwen3 vl flash | ₽5.91/M | ₽59.10/M | ₽414 |
| gemini 1.5 flash | gemini 1.5 flash | ₽10.79/M | ₽43.14/M | ₽431 |
| gemini 2.5 flash preview native audio dialog | gemini 2.5 flash preview native audio dialog | ₽10.79/M | ₽43.14/M | ₽431 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽10.79/M | ₽43.14/M | ₽431 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽10.79/M | ₽43.14/M | ₽431 |
| kimi k2 0711 preview anthorpic | kimi k2 0711 preview anthorpic | ₽10.79/M | ₽43.14/M | ₽431 |
| kimi k2 0711 preview anthropic | kimi k2 0711 preview anthropic | ₽10.79/M | ₽43.14/M | ₽431 |
| deepseek ai · DeepSeek-V3 | deepseek ai | ₽11.51/M | ₽46.02/M | ₽460 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Aqa | aqa | ₽19.18/M | ₽19.18/M | ₽479 |
| CodeLlama 70b Instruct hf | CodeLlama 70b Instruct hf | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 2 70b chat hf | Llama 2 70b chat hf | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 3 70b chat hf | Llama 3 70b chat hf | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 3.2 90B Vision Instruct Turbo | meta llama | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 3.2 90B Vision Preview | meta llama | ₽19.18/M | ₽19.18/M | ₽479 |
| Llama 3.3 70B | Llama 3.3 70B | ₽19.18/M | ₽19.18/M | ₽479 |
| Meta Llama 3 70B Instruct Turbo | Meta Llama 3 70B Instruct Turbo | ₽19.18/M | ₽19.18/M | ₽479 |
| Nous Hermes 2 Mixtral 8x7B DPO | Nous Hermes 2 Mixtral 8x7B DPO | ₽19.18/M | ₽19.18/M | ₽479 |
| Nous Hermes 2 Mixtral 8x7B SFT | Nous Hermes 2 Mixtral 8x7B SFT | ₽19.18/M | ₽19.18/M | ₽479 |
| OpenGVLab · InternVL2-Llama3-76B | OpenGVLab | ₽19.18/M | ₽19.18/M | ₽479 |
| PaLM 2 | PaLM 2 | ₽19.18/M | ₽19.18/M | ₽479 |
| Platypus2 70B instruct | Platypus2 70B instruct | ₽19.18/M | ₽19.18/M | ₽479 |
| yi vision | yi vision | ₽19.18/M | ₽19.18/M | ₽479 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽14.38/M | ₽43.14/M | ₽503 |
| Wan2.2 I2v Plus | wan2.2 i2v plus | ₽20.13/M | ₽20.13/M | ₽503 |
| wan2.2 t2v plus | wan2.2 t2v plus | ₽20.13/M | ₽20.13/M | ₽503 |
| Seed OSS 36B Instruct | Seed OSS 36B Instruct | ₽7.39/M | ₽73.92/M | ₽517 |
| minimax m2 | minimax | ₽12.94/M | ₽51.77/M | ₽518 |
| o3fan deepresearch v1 | o3fan deepresearch v1 | ₽17.26/M | ₽34.52/M | ₽518 |
| qwen vl plus | qwen vl plus | ₽14.78/M | ₽47.28/M | ₽532 |
| Sora 2 Pro | sora 2 pro | ₽21.57/M | ₽21.57/M | ₽539 |
| deepseek reasoner v3.2 | deepseek reasoner v3.2 | ₽19.70/M | ₽29.55/M | ₽542 |
| deepseek v3.2 | deepseek | ₽19.70/M | ₽29.55/M | ₽542 |
| deepseek v3.2 speciale | deepseek v3.2 speciale | ₽19.70/M | ₽29.55/M | ₽542 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽7.88/M | ₽78.80/M | ₽552 |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | ₽7.88/M | ₽78.81/M | ₽552 |
| DeepSeek V2 Chat | DeepSeek V2 Chat | ₽19.18/M | ₽38.35/M | ₽575 |
| deepseek r1 | deepseek | ₽14.38/M | ₽57.53/M | ₽575 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽23.01/M | ₽23.01/M | ₽575 |
| MiniMax Text 01 | MiniMax Text 01 | ₽9.85/M | ₽78.80/M | ₽591 |
| Qwen1.5 14B Chat | Qwen1.5 14B Chat | ₽19.70/M | ₽39.40/M | ₽591 |
| qwen3 30b a3b | qwen | ₽14.78/M | ₽59.10/M | ₽591 |
| deepseek v4 flash | deepseek | ₽20.13/M | ₽40.27/M | ₽604 |
| SparkDesk | SparkDesk | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v1.1 | SparkDesk v1.1 | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v2.1 | SparkDesk v2.1 | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v3.1 | SparkDesk v3.1 | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v3.1 128K | SparkDesk v3.1 128K | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v3.5 32K | SparkDesk v3.5 32K | ₽24.66/M | ₽24.66/M | ₽616 |
| SparkDesk v4.0 | SparkDesk v4.0 | ₽24.66/M | ₽24.66/M | ₽616 |
| Qwen Mt Plus | qwen mt plus | ₽17.73/M | ₽53.19/M | ₽621 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽24.93/M | ₽24.93/M | ₽623 |
| glm 4.5 air | z ai | ₽11.82/M | ₽78.80/M | ₽630 |
| GLM 4.5 Airx | glm 4.5 airx | ₽11.82/M | ₽78.80/M | ₽630 |
| Grok 3 Mini | grok 3 mini | ₽21.57/M | ₽43.14/M | ₽647 |
| Mistral Small | Mistral Small | ₽19.18/M | ₽57.53/M | ₽671 |
| Llama3 70B 8192(33) | llama3 70b 8192(33) | ₽25.41/M | ₽33.56/M | ₽676 |
| qwen 1.8b chat | qwen 1.8b chat | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen 1.8b longcontext chat | qwen 1.8b longcontext chat | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen audio chat | qwen audio chat | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen audio turbo | qwen audio turbo | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen vl chat v1 | qwen vl chat v1 | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen vl v1 | qwen vl v1 | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen1.5 0.5B Chat | Qwen1.5 0.5B Chat | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen1.5 1.8B Chat | Qwen1.5 1.8B Chat | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2 0.5b instruct | qwen2 0.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2 audio instruct | qwen2 audio instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2 math 1.5b instruct | qwen2 math 1.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2 vl 2b instruct | qwen2 vl 2b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen2 VL 7B Instruct | Qwen2 VL 7B Instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2.5 0.5b instruct | qwen2.5 0.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2.5 1.5b instruct | qwen2.5 1.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2.5 coder 0.5b instruct | qwen2.5 coder 0.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen2.5 Coder 1.5b Instruct | qwen2.5 coder 1.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| qwen2.5 coder 3b instruct | qwen2.5 coder 3b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽27.39/M | ₽27.39/M | ₽685 |
| glm 4.6v | z ai | ₽19.70/M | ₽59.10/M | ₽690 |
| qwen coder turbo | qwen coder turbo | ₽19.70/M | ₽59.10/M | ₽690 |
| qwen math turbo | qwen math turbo | ₽19.70/M | ₽59.10/M | ₽690 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽19.70/M | ₽59.10/M | ₽690 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽19.70/M | ₽59.10/M | ₽690 |
| Baichuan2 53B | Baichuan2 53B | ₽28.76/M | ₽28.76/M | ₽719 |
| flux redux schnell | black forest labs | ₽28.76/M | ₽28.76/M | ₽719 |
| Flux Schnell | black forest labs | ₽28.76/M | ₽28.76/M | ₽719 |
| hermes-3-llama-3.1-70b | nousresearch | ₽28.76/M | ₽28.76/M | ₽719 |
| llama 3.1 70b | together | ₽28.76/M | ₽28.76/M | ₽719 |
| Meta Llama 3.1 70B Instruct Turbo | Meta Llama 3.1 70B Instruct Turbo | ₽28.76/M | ₽28.76/M | ₽719 |
| qwen 2.5 72b instruct | qwen | ₽28.76/M | ₽28.76/M | ₽719 |
| Qwen2 72B Instruct | Qwen | ₽28.76/M | ₽28.76/M | ₽719 |
| Text Ada 001 | text ada 001 | ₽28.76/M | ₽28.76/M | ₽719 |
| Yi Large Turbo | yi large turbo | ₽28.76/M | ₽28.76/M | ₽719 |
| yi vision solution | yi vision solution | ₽28.76/M | ₽28.76/M | ₽719 |
| gpt 5.4 nano | openai | ₽14.38/M | ₽89.88/M | ₽737 |
| Azure · DeepSeek-R1 | Azure | ₽19.18/M | ₽76.70/M | ₽767 |
| deepseek search silent | deepseek search silent | ₽19.18/M | ₽76.70/M | ₽767 |
| deepseek think fold | deepseek think fold | ₽19.18/M | ₽76.70/M | ₽767 |
| deepseek think silent | deepseek think silent | ₽19.18/M | ₽76.70/M | ₽767 |
| DeepSeek V3 | deepseek search | ₽19.18/M | ₽76.70/M | ₽767 |
| HiAscend · DeepSeek-R1 | HiAscend | ₽19.18/M | ₽76.70/M | ₽767 |
| deepseek chat | deepseek | ₽19.70/M | ₽78.80/M | ₽788 |
| qwen3 32b | qwen | ₽19.70/M | ₽78.80/M | ₽788 |
| claude 3 haiku | anthropic | ₽17.98/M | ₽89.88/M | ₽809 |
| claude 3.5 haiku | anthropic | ₽17.98/M | ₽89.88/M | ₽809 |
| ERNIE Bot 8K | ERNIE Bot 8K | ₽32.67/M | ₽32.67/M | ₽817 |
| Grok Code Fast 1 | grok code fast 1 | ₽14.38/M | ₽108/M | ₽827 |
| minimax m2.1 | minimax | ₽20.68/M | ₽82.72/M | ₽827 |
| minimax m2.5 | minimax | ₽20.68/M | ₽82.72/M | ₽827 |
| Qwen Flash | qwen flash | ₽11.82/M | ₽118/M | ₽827 |
| grok 2 | grok 2 | ₽19.18/M | ₽95.88/M | ₽863 |
| Grok 2 1212 | grok 2 1212 | ₽19.18/M | ₽95.88/M | ₽863 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽19.18/M | ₽95.88/M | ₽863 |
| wanx2.1 i2v turbo | wanx2.1 i2v turbo | ₽34.52/M | ₽34.52/M | ₽863 |
| wanx2.1 t2v turbo | wanx2.1 t2v turbo | ₽34.52/M | ₽34.52/M | ₽863 |
| Moonshot V1 8K | moonshot v1 8k | ₽19.70/M | ₽98.50/M | ₽887 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽19.70/M | ₽98.50/M | ₽887 |
| step 1o turbo vision | step 1o turbo vision | ₽24.63/M | ₽78.80/M | ₽887 |
| step r1 v mini | step r1 v mini | ₽24.63/M | ₽78.80/M | ₽887 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽17.73/M | ₽106/M | ₽887 |
| Text Babbage 001 | text babbage 001 | ₽35.95/M | ₽35.95/M | ₽899 |
| Mistral Medium | mistral medium | ₽25.89/M | ₽77.66/M | ₽906 |
| Qwen Max | qwen max | ₽23.64/M | ₽94.57/M | ₽946 |
| Baichuan2 Turbo | Baichuan2 Turbo | ₽38.35/M | ₽38.35/M | ₽959 |
| charglm 3 | charglm 3 | ₽38.35/M | ₽38.35/M | ₽959 |
| Emohaa | emohaa | ₽38.35/M | ₽38.35/M | ₽959 |
| Mixtral 8x22B Instruct v0.1 | Mixtral 8x22B Instruct v0.1 | ₽38.35/M | ₽38.35/M | ₽959 |
| yi medium 200k | yi medium 200k | ₽38.35/M | ₽38.35/M | ₽959 |
| o3fan deepresearch v1pro | o3fan deepresearch v1pro | ₽32.36/M | ₽64.72/M | ₽971 |
| DeepSeek Math V2 | DeepSeek Math V2 | ₽24.65/M | ₽98.60/M | ₽986 |
| kimi k2 | moonshotai | ₽24.65/M | ₽98.60/M | ₽986 |
| ocoolAI · DeepSeek-R1 | ocoolAI | ₽24.93/M | ₽99.71/M | ₽997 |
| qwen3 235b a22b | qwen | ₽28.76/M | ₽86.29/M | ₽1 007 |
| abab6.5 chat | abab6.5 chat | ₽40.84/M | ₽40.84/M | ₽1 021 |
| qwen coder plus 1106 | qwen coder plus 1106 | ₽34.47/M | ₽68.95/M | ₽1 034 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽29.55/M | ₽88.65/M | ₽1 034 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽29.55/M | ₽88.65/M | ₽1 034 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽29.55/M | ₽88.65/M | ₽1 034 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽29.55/M | ₽88.65/M | ₽1 034 |
| qwen vl max | qwen vl max | ₽29.55/M | ₽88.65/M | ₽1 034 |
| qwen coder plus | qwen coder plus | ₽34.48/M | ₽68.95/M | ₽1 034 |
| Qwen1.5 32B Chat | Qwen1.5 32B Chat | ₽34.48/M | ₽68.95/M | ₽1 034 |
| Qwen2.5 32B Instruct | Qwen | ₽34.48/M | ₽68.95/M | ₽1 034 |
| gpt 5 mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| gpt 3.5 turbo | openai | ₽35.95/M | ₽71.91/M | ₽1 079 |
| Wan2.5 I2v Preview | wan2.5 i2v preview | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Wan2.5 T2v Preview | wan2.5 t2v preview | ₽43.14/M | ₽43.14/M | ₽1 079 |
| deepseek ai · DeepSeek-Prover-V2 | deepseek ai | ₽28.76/M | ₽115/M | ₽1 151 |
| gemini 1.5 pro | gemini 1.5 pro | ₽28.76/M | ₽115/M | ₽1 151 |
| Gemini 2.0 Flash-Lite | gemini 2.0 flash lite | ₽28.76/M | ₽115/M | ₽1 151 |
| Gemini Pro Vision | gemini pro vision | ₽28.76/M | ₽115/M | ₽1 151 |
| gpt 4.1 mini | openai | ₽28.76/M | ₽115/M | ₽1 151 |
| hunyuan code | hunyuan code | ₽39.40/M | ₽78.80/M | ₽1 182 |
| hunyuan functioncall | hunyuan functioncall | ₽39.40/M | ₽78.80/M | ₽1 182 |
| hunyuan role | hunyuan role | ₽39.40/M | ₽78.80/M | ₽1 182 |
| Grok Vision Beta | grok vision beta | ₽47.94/M | ₽47.94/M | ₽1 198 |
| Yi Large | yi large | ₽47.94/M | ₽47.94/M | ₽1 198 |
| abab5.5s chat | abab5.5s chat | ₽49.25/M | ₽49.25/M | ₽1 231 |
| abab6.5g chat | abab6.5g chat | ₽49.25/M | ₽49.25/M | ₽1 231 |
| abab6.5t chat | abab6.5t chat | ₽49.25/M | ₽49.25/M | ₽1 231 |
| glm z1 airx | glm z1 airx | ₽49.25/M | ₽49.25/M | ₽1 231 |
| qwen vl ocr | qwen vl ocr | ₽49.25/M | ₽49.25/M | ₽1 231 |
| MiniMax M2.1 lightning | MiniMax M2.1 lightning | ₽20.69/M | ₽165/M | ₽1 241 |
| Command R Plus | command r plus | ₽28.76/M | ₽144/M | ₽1 294 |
| glm 4.7 | z ai | ₽30.20/M | ₽141/M | ₽1 309 |
| Qwen2 Math 72B Instruct | Qwen2 Math 72B Instruct | ₽38.35/M | ₽115/M | ₽1 342 |
| deepseek v3.1 | deepseek v3.1 | ₽39.40/M | ₽118/M | ₽1 379 |
| deepseek v3.1 terminus | deepseek | ₽39.40/M | ₽118/M | ₽1 379 |
| hunyuan large | hunyuan large | ₽39.40/M | ₽118/M | ₽1 379 |
| qwen math plus | qwen math plus | ₽39.40/M | ₽118/M | ₽1 379 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽39.40/M | ₽118/M | ₽1 379 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽47.94/M | ₽86.29/M | ₽1 390 |
| Doubao Pro 128K | Doubao pro 128k | ₽47.94/M | ₽86.29/M | ₽1 390 |
| Baichuan3 Turbo | Baichuan3 Turbo | ₽57.53/M | ₽57.53/M | ₽1 438 |
| doubao seedance 2 0 fast · per_second | seedance | ₽57.53/M | ₽57.53/M | ₽1 438 |
| qwen 7b chat | qwen 7b chat | ₽57.53/M | ₽57.53/M | ₽1 438 |
| Qwen1.5 72B Chat | Qwen1.5 72B Chat | ₽49.25/M | ₽98.50/M | ₽1 478 |
| qwen3 coder | qwen | ₽36.97/M | ₽148/M | ₽1 479 |
| deepseek reasoner | deepseek reasoner | ₽38.35/M | ₽153/M | ₽1 534 |
| deepseek r1 fold | deepseek r1 fold | ₽38.35/M | ₽153/M | ₽1 534 |
| deepseek r1 silent | deepseek r1 silent | ₽38.35/M | ₽153/M | ₽1 534 |
| glm 4.5 | z ai | ₽39.40/M | ₽158/M | ₽1 576 |
| glm 4.6 | z ai | ₽39.40/M | ₽158/M | ₽1 576 |
| glm 5 | z ai | ₽39.41/M | ₽158/M | ₽1 576 |
| gpt oss 120b | openai | ₽39.55/M | ₽158/M | ₽1 582 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽23.64/M | ₽236/M | ₽1 655 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽23.64/M | ₽236/M | ₽1 655 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽23.64/M | ₽236/M | ₽1 655 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽23.64/M | ₽236/M | ₽1 655 |
| minimax m1 | minimax | ₽23.64/M | ₽236/M | ₽1 655 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽41.38/M | ₽166/M | ₽1 655 |
| grok beta | grok beta | ₽47.94/M | ₽144/M | ₽1 678 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽43.14/M | ₽173/M | ₽1 726 |
| Meta Llama 3.1 405B | meta llama | ₽69.03/M | ₽69.03/M | ₽1 726 |
| Meta Llama 3.1 405B Instruct Turbo | Meta Llama 3.1 405B Instruct Turbo | ₽69.03/M | ₽69.03/M | ₽1 726 |
| gemini 3 flash | gemini 3 flash | ₽35.95/M | ₽216/M | ₽1 798 |
| gemini 3 flash preview high | gemini 3 flash preview high | ₽35.95/M | ₽216/M | ₽1 798 |
| gemini 3 flash preview low | gemini 3 flash preview low | ₽35.95/M | ₽216/M | ₽1 798 |
| doubao seedance 2 0 · per_second | seedance | ₽71.91/M | ₽71.91/M | ₽1 798 |
| grok imagine video | grok imagine video | ₽71.91/M | ₽71.91/M | ₽1 798 |
| kimi k2.5 | moonshotai | ₽39.40/M | ₽207/M | ₽1 822 |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽76.70/M | ₽76.70/M | ₽1 918 |
| Doubao vision lite 32k | Doubao vision lite 32k | ₽76.70/M | ₽76.70/M | ₽1 918 |
| qwen 14b chat | qwen 14b chat | ₽76.70/M | ₽76.70/M | ₽1 918 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽78.80/M | ₽78.80/M | ₽1 970 |
| Moonshot V1 32K | moonshot v1 32k | ₽49.25/M | ₽197/M | ₽1 970 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽49.25/M | ₽197/M | ₽1 970 |
| step 1 8k | step 1 8k | ₽49.25/M | ₽197/M | ₽1 970 |
| step 1v 8k | step 1v 8k | ₽49.25/M | ₽197/M | ₽1 970 |
| Claude Instant 1.2 | claude instant 1.2 | ₽57.53/M | ₽173/M | ₽2 013 |
| Cogview 3 Plus | cogview 3 plus | ₽81.69/M | ₽81.69/M | ₽2 042 |
| Qwen3 VL Plus | qwen3 vl plus | ₽29.55/M | ₽296/M | ₽2 069 |
| Qwen1.5 110B Chat | Qwen1.5 110B Chat | ₽68.95/M | ₽138/M | ₽2 069 |
| hunyuan large longcontext | hunyuan large longcontext | ₽59.10/M | ₽177/M | ₽2 069 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽71.91/M | ₽144/M | ₽2 157 |
| Wan2.6 I2v | wan2.6 i2v | ₽86.29/M | ₽86.29/M | ₽2 157 |
| Wan2.6 T2v | wan2.6 t2v | ₽86.29/M | ₽86.29/M | ₽2 157 |
| Wan2.7 I2v | wan2.7 i2v | ₽86.29/M | ₽86.29/M | ₽2 157 |
| Wan2.7 T2v | wan2.7 t2v | ₽86.29/M | ₽86.29/M | ₽2 157 |
| qwen3 coder flash | qwen | ₽49.25/M | ₽246/M | ₽2 216 |
| HiSpeed · DeepSeek-R1 | HiSpeed | ₽76.70/M | ₽153/M | ₽2 301 |
| 360gpt turbo 32k responsibility 240516 | 360gpt turbo 32k responsibility 240516 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| 360gpt turbo 32k responsibility 240530 | 360gpt turbo 32k responsibility 240530 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| Balanced | Balanced | ₽95.88/M | ₽95.88/M | ₽2 397 |
| Creative | Creative | ₽95.88/M | ₽95.88/M | ₽2 397 |
| generalv3.5 | generalv3.5 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| Hunyuan A52B Instruct | Tencent | ₽95.88/M | ₽95.88/M | ₽2 397 |
| Precise | Precise | ₽95.88/M | ₽95.88/M | ₽2 397 |
| qwen max 1201 | qwen max 1201 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| SparkDesk v3.5 | SparkDesk v3.5 | ₽95.88/M | ₽95.88/M | ₽2 397 |
| glm 5.1 | z ai | ₽61.55/M | ₽246/M | ₽2 462 |
| glm 4 airx | glm 4 airx | ₽98.50/M | ₽98.50/M | ₽2 463 |
| GLM 4 Vision Plus | glm 4v plus | ₽98.50/M | ₽98.50/M | ₽2 463 |
| doubao seedance 1 5 pro · 21:9 · 480p · 5s | seedance | ₽101/M | ₽101/M | ₽2 517 |
| doubao seedance 1 5 pro · 4:3 · 480p · 5s | seedance | ₽101/M | ₽101/M | ₽2 517 |
| gemini 2.5 flash deepsearch | gemini 2.5 flash deepsearch | ₽71.91/M | ₽216/M | ₽2 517 |
| MiMo V2 Pro | mimo v2 pro | ₽71.91/M | ₽216/M | ₽2 517 |
| wanx2.1 i2v plus | wanx2.1 i2v plus | ₽101/M | ₽101/M | ₽2 517 |
| wanx2.1 kf2v plus | wanx2.1 kf2v plus | ₽101/M | ₽101/M | ₽2 517 |
| wanx2.1 t2v plus | wanx2.1 t2v plus | ₽101/M | ₽101/M | ₽2 517 |
| doubao seedance 1 5 pro · 1:1 · 480p · 5s | seedance | ₽104/M | ₽104/M | ₽2 589 |
| doubao seedance 1 5 pro · 16:9 · 480p · 5s | seedance | ₽105/M | ₽105/M | ₽2 625 |
| mistral large latest | mistral large latest | ₽76.70/M | ₽230/M | ₽2 685 |
| gpt 5.4 mini | openai | ₽53.93/M | ₽324/M | ₽2 697 |
| gpt 3.5 0301 | gpt 3.5 0301 | ₽108/M | ₽144/M | ₽2 876 |
| 360gpt pro | 360gpt pro | ₽115/M | ₽115/M | ₽2 876 |
| 360gpt turbo | 360gpt turbo | ₽115/M | ₽115/M | ₽2 876 |
| 360gpt turbo responsibility 8k | 360gpt turbo responsibility 8k | ₽115/M | ₽115/M | ₽2 876 |
| 360gpt2 pro | 360gpt2 pro | ₽115/M | ₽115/M | ₽2 876 |
| Baichuan2 Turbo 192k | Baichuan2 Turbo 192k | ₽115/M | ₽115/M | ₽2 876 |
| Baichuan3 Turbo 128K | Baichuan3 Turbo 128k | ₽115/M | ₽115/M | ₽2 876 |
| gemini 2.0 flash thinking exp 1219 | gemini 2.0 flash thinking exp 1219 | ₽71.91/M | ₽288/M | ₽2 876 |
| 360GPT_S2_V9 | 360GPT_S2_V9 | ₽123/M | ₽123/M | ₽3 082 |
| o1 mini | o1 mini | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini high | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini low | o3 mini low | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini medium | o3 mini medium | ₽79.10/M | ₽316/M | ₽3 164 |
| o4 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| step 1.5v mini | step 1.5v mini | ₽76.70/M | ₽336/M | ₽3 212 |
| claude haiku 4.5 | anthropic | ₽71.91/M | ₽360/M | ₽3 236 |
| gpt 4 claude 3 5 haiku 20241022 | gpt 4 claude 3 5 haiku 20241022 | ₽71.91/M | ₽360/M | ₽3 236 |
| gpt 4 claude 3 5 haiku latest | gpt 4 claude 3 5 haiku latest | ₽71.91/M | ₽360/M | ₽3 236 |
| Grok 3 | grok 3 | ₽71.91/M | ₽360/M | ₽3 236 |
| grok 3 deepsearch | grok 3 deepsearch | ₽71.91/M | ₽360/M | ₽3 236 |
| grok 3 reasoner | grok 3 reasoner | ₽71.91/M | ₽360/M | ₽3 236 |
| grok 3 reasoning | grok 3 reasoning | ₽71.91/M | ₽360/M | ₽3 236 |
| abab6 chat | abab6 chat | ₽136/M | ₽136/M | ₽3 404 |
| ChatPro | ChatPro | ₽136/M | ₽136/M | ₽3 404 |
| Hunyuan | hunyuan | ₽137/M | ₽137/M | ₽3 423 |
| SparkDesk Pro | SparkDesk Pro | ₽138/M | ₽138/M | ₽3 448 |
| Moonshot V1 128K | moonshot v1 128k | ₽98.50/M | ₽296/M | ₽3 448 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽98.50/M | ₽296/M | ₽3 448 |
| gemini 2.0 flash exp image generation | gemini 2.0 flash exp image generation | ₽86.29/M | ₽345/M | ₽3 452 |
| Gemini 3 Pro | Gemini 3 Pro | ₽71.91/M | ₽431/M | ₽3 595 |
| gemini 3 pro preview high | gemini 3 pro preview high | ₽71.91/M | ₽431/M | ₽3 595 |
| gemini 3 pro preview image anci | gemini 3 pro preview image anci | ₽71.91/M | ₽431/M | ₽3 595 |
| gemini 3 pro preview low | gemini 3 pro preview low | ₽71.91/M | ₽431/M | ₽3 595 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽71.91/M | ₽431/M | ₽3 595 |
| gemini 3.1 pro preview customtools | ₽71.91/M | ₽431/M | ₽3 595 | |
| Davinci | davinci | ₽144/M | ₽144/M | ₽3 595 |
| gemini 2.5 pro video | gemini 2.5 pro video | ₽89.88/M | ₽360/M | ₽3 595 |
| netease youdao · bce-reranker-base_v1 | netease youdao | ₽144/M | ₽144/M | ₽3 595 |
| rerank english v2.0 | rerank english v2.0 | ₽144/M | ₽144/M | ₽3 595 |
| rerank english v3.0 | rerank english v3.0 | ₽144/M | ₽144/M | ₽3 595 |
| rerank multilingual v2.0 | rerank multilingual v2.0 | ₽144/M | ₽144/M | ₽3 595 |
| rerank multilingual v3.0 | rerank multilingual v3.0 | ₽144/M | ₽144/M | ₽3 595 |
| Text Curie 001 | text curie 001 | ₽144/M | ₽144/M | ₽3 595 |
| deepseek v4 pro | deepseek | ₽122/M | ₽244/M | ₽3 667 |
| deepseek v4 pro max | deepseek v4 pro max | ₽123/M | ₽245/M | ₽3 676 |
| deepseek v4 pro none | deepseek v4 pro none | ₽123/M | ₽245/M | ₽3 676 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽93.58/M | ₽374/M | ₽3 743 |
| ali stable diffusion v1.5 | ali stable diffusion v1.5 | ₽153/M | ₽153/M | ₽3 835 |
| ali stable diffusion xl | ali stable diffusion xl | ₽153/M | ₽153/M | ₽3 835 |
| wanx v1 | wanx v1 | ₽153/M | ₽153/M | ₽3 835 |
| KAT Coder | KAT Coder | ₽98.50/M | ₽394/M | ₽3 940 |
| qwen2.5 vl 72b instruct | qwen | ₽115/M | ₽345/M | ₽4 027 |
| Qvq 72B Preview | Qwen | ₽118/M | ₽355/M | ₽4 137 |
| doubao seed 2 0 code preview 260215 | doubao seed 2 0 code preview 260215 | ₽94.56/M | ₽473/M | ₽4 255 |
| doubao seed 2 0 pro 260215 | doubao seed 2 0 pro 260215 | ₽94.56/M | ₽473/M | ₽4 255 |
| qwen3.7 max | qwen | ₽122/M | ₽367/M | ₽4 279 |
| codex mini | codex mini | ₽108/M | ₽431/M | ₽4 314 |
| abab5.5 chat | abab5.5 chat | ₽144/M | ₽288/M | ₽4 314 |
| Yi 1.5 34B Chat 16K | 01 ai | ₽144/M | ₽288/M | ₽4 314 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽78.80/M | ₽571/M | ₽4 433 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽78.80/M | ₽571/M | ₽4 433 |
| hunyuan vision | hunyuan vision | ₽177/M | ₽177/M | ₽4 433 |
| Ada | ada | ₽192/M | ₽192/M | ₽4 794 |
| Curie | curie | ₽192/M | ₽192/M | ₽4 794 |
| Doubao vision pro 32k | Doubao vision pro 32k | ₽192/M | ₽192/M | ₽4 794 |
| Flux Schnell Lora | black forest labs | ₽192/M | ₽192/M | ₽4 794 |
| qwen 72b chat | qwen 72b chat | ₽192/M | ₽192/M | ₽4 794 |
| Text Search Ada Doc 001 | text search ada doc 001 | ₽192/M | ₽192/M | ₽4 794 |
| Grok 4 | grok 4 | ₽108/M | ₽539/M | ₽4 854 |
| doubao seedance 1 5 pro · 21:9 · 480p · 10s | seedance | ₽201/M | ₽201/M | ₽5 034 |
| gemini 1.0 pro | gemini 1.0 pro | ₽144/M | ₽431/M | ₽5 034 |
| gemini 2.5 pro deepsearch | gemini 2.5 pro deepsearch | ₽144/M | ₽431/M | ₽5 034 |
| Gemini Pro | gemini pro | ₽144/M | ₽431/M | ₽5 034 |
| doubao seedance 1 5 pro · 4:3 · 480p · 10s | seedance | ₽203/M | ₽203/M | ₽5 069 |
| step 1 200k | step 1 200k | ₽204/M | ₽204/M | ₽5 105 |
| qwen omni turbo realtime | qwen omni turbo realtime | ₽205/M | ₽205/M | ₽5 136 |
| qwen3 omni flash realtime | qwen3 omni flash realtime | ₽205/M | ₽205/M | ₽5 136 |
| doubao seedance 1 5 pro · 1:1 · 480p · 10s | seedance | ₽207/M | ₽207/M | ₽5 177 |
| doubao seedance 1 5 pro · 16:9 · 480p · 10s | seedance | ₽210/M | ₽210/M | ₽5 249 |
| gemini 2.5 pro | ₽89.88/M | ₽719/M | ₽5 393 | |
| gpt 5 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 search api | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex max | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽216/M | ₽216/M | ₽5 393 |
| hunyuan turbo | hunyuan turbo | ₽148/M | ₽493/M | ₽5 418 |
| doubao seedance 1 5 pro · 16:9 · 720p · 5s | seedance | ₽221/M | ₽221/M | ₽5 537 |
| gpt 3.5 turbo 16k | openai | ₽216/M | ₽288/M | ₽5 752 |
| gpt 4.1 | openai | ₽144/M | ₽575/M | ₽5 753 |
| O3 | openai | ₽144/M | ₽575/M | ₽5 753 |
| whisper 1 | openai | ₽288/M | ₽288/M | ₽5 753 |
| doubao seedance 1 5 pro · 1:1 · 720p · 5s | seedance | ₽233/M | ₽233/M | ₽5 825 |
| doubao seedance 1 5 pro · 4:3 · 720p · 5s | seedance | ₽236/M | ₽236/M | ₽5 896 |
| qwen3 max | qwen | ₽148/M | ₽591/M | ₽5 910 |
| deepl en | deepl en | ₽240/M | ₽240/M | ₽5 992 |
| deepl ja | deepl ja | ₽240/M | ₽240/M | ₽5 992 |
| deepl zh | deepl zh | ₽240/M | ₽240/M | ₽5 992 |
| flux canny dev | black forest labs | ₽240/M | ₽240/M | ₽5 992 |
| Flux Depth Dev | black forest labs | ₽240/M | ₽240/M | ₽5 992 |
| Flux Dev | Flux Dev | ₽240/M | ₽240/M | ₽5 992 |
| Flux Redux Dev | black forest labs | ₽240/M | ₽240/M | ₽5 992 |
| doubao seedance 1 5 pro · 21:9 · 720p · 5s | seedance | ₽243/M | ₽243/M | ₽6 076 |
| GLM 4.5 X | glm 4.5 x | ₽158/M | ₽630/M | ₽6 304 |
| step 1 32k | step 1 32k | ₽148/M | ₽690/M | ₽6 403 |
| step 1o vision 32k | step 1o vision 32k | ₽148/M | ₽690/M | ₽6 403 |
| step 1v 32k | step 1v 32k | ₽148/M | ₽690/M | ₽6 403 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽256/M | ₽256/M | ₽6 403 |
| hunyuan standard 256K | hunyuan standard 256K | ₽192/M | ₽575/M | ₽6 711 |
| Qwen Max Longcontext | qwen max longcontext | ₽192/M | ₽575/M | ₽6 711 |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽197/M | ₽591/M | ₽6 895 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽197/M | ₽591/M | ₽6 895 |
| gemini 2.0 pro exp | gemini 2.0 pro exp | ₽180/M | ₽719/M | ₽7 191 |
| gpt 4o | openai | ₽180/M | ₽719/M | ₽7 191 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽180/M | ₽719/M | ₽7 191 |
| gpt audio | openai | ₽180/M | ₽719/M | ₽7 191 |
| gpt image 1 mini | openai | ₽180/M | ₽719/M | ₽7 191 |
| gpt 5.2 | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.3 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.3 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| doubao seedance 1 0 pro | doubao seedance 1 0 pro | ₽302/M | ₽302/M | ₽7 550 |
| gpt 3.5o | gpt 3.5o | ₽216/M | ₽647/M | ₽7 550 |
| gpt 4o lite | gpt 4o lite | ₽216/M | ₽647/M | ₽7 550 |
| Flux Dev Lora | black forest labs | ₽307/M | ₽307/M | ₽7 670 |
| stable-diffusion-3 | stability ai | ₽336/M | ₽336/M | ₽8 389 |
| stable-diffusion-3.5-medium | stability ai | ₽336/M | ₽336/M | ₽8 389 |
| Cogview 3 | cogview 3 | ₽340/M | ₽340/M | ₽8 509 |
| gpt 5.4 | openai | ₽180/M | ₽1 079/M | ₽8 988 |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽384/M | ₽384/M | ₽9 588 |
| Flux Fill Dev | black forest labs | ₽384/M | ₽384/M | ₽9 588 |
| recraft ai · recraft-v3 | recraft ai | ₽384/M | ₽384/M | ₽9 588 |
| stable-diffusion-3.5-large-turbo | stability ai | ₽384/M | ₽384/M | ₽9 588 |
| claude 3 5 sonnet coder | claude 3 5 sonnet coder | ₽216/M | ₽1 079/M | ₽9 708 |
| claude 3 sonnet | claude 3 sonnet | ₽216/M | ₽1 079/M | ₽9 708 |
| Claude 3.5 Sonnet | claude 3 5 sonnet | ₽216/M | ₽1 079/M | ₽9 708 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4.5 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4.6 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽296/M | ₽887/M | ₽10 343 |
| hunyuan pro | hunyuan pro | ₽296/M | ₽985/M | ₽10 835 |
| doubao seedance 1 5 pro · 16:9 · 720p · 10s | seedance | ₽444/M | ₽444/M | ₽11 110 |
| gpt realtime | gpt realtime | ₽288/M | ₽1 151/M | ₽11 505 |
| doubao seedance 1 5 pro · 1:1 · 720p · 10s | seedance | ₽466/M | ₽466/M | ₽11 649 |
| doubao seedance 1 5 pro · 4:3 · 720p · 10s | seedance | ₽472/M | ₽472/M | ₽11 793 |
| Baichuan4 | Baichuan4 | ₽479/M | ₽479/M | ₽11 985 |
| Flux Canny Pro | black forest labs | ₽479/M | ₽479/M | ₽11 985 |
| Flux Depth Pro | black forest labs | ₽479/M | ₽479/M | ₽11 985 |
| Flux Fill Pro | black forest labs | ₽479/M | ₽479/M | ₽11 985 |
| ideogram ai · ideogram-v2-turbo | ideogram ai | ₽479/M | ₽479/M | ₽11 985 |
| internlm2_5 20b chat | internlm | ₽479/M | ₽479/M | ₽11 985 |
| doubao seedance 1 5 pro · 21:9 · 720p · 10s | seedance | ₽486/M | ₽486/M | ₽12 152 |
| GLM 4 Plus | glm 4 plus | ₽493/M | ₽493/M | ₽12 313 |
| GLM 4 Vision | glm 4v | ₽493/M | ₽493/M | ₽12 313 |
| gemini 2.0 flash preview image generation | gemini 2.0 flash preview image generation | ₽360/M | ₽1 079/M | ₽12 584 |
| doubao seedance 1 5 pro · 21:9 · 1080p · 5s | seedance | ₽511/M | ₽511/M | ₽12 764 |
| doubao seedance 1 5 pro · 1:1 · 1080p · 5s | seedance | ₽525/M | ₽525/M | ₽13 123 |
| doubao seedance 1 5 pro · 4:3 · 1080p · 5s | seedance | ₽525/M | ₽525/M | ₽13 123 |
| Flux Pro | black forest labs | ₽527/M | ₽527/M | ₽13 183 |
| doubao seedance 1 5 pro · 16:9 · 1080p · 5s | seedance | ₽528/M | ₽528/M | ₽13 195 |
| Step 2 16K | step 2 16k | ₽374/M | ₽1 182/M | ₽13 397 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽394/M | ₽1 182/M | ₽13 791 |
| qwen3 coder plus | qwen | ₽197/M | ₽1 970/M | ₽13 791 |
| doubao seedance 1 5 pro · no_audio | doubao seedance 1 5 pro | ₽575/M | ₽575/M | ₽14 382 |
| flux-1.1-pro-ultra | black forest labs | ₽575/M | ₽575/M | ₽14 382 |
| GLM 4 | glm 4 | ₽575/M | ₽575/M | ₽14 382 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽360/M | ₽1 438/M | ₽14 382 |
| SparkDesk Max | SparkDesk Max | ₽591/M | ₽591/M | ₽14 776 |
| stable-diffusion-3.5-large | stability ai | ₽623/M | ₽623/M | ₽15 580 |
| claude opus 4.5 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.6 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.7 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.8 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| kimi k2 turbo preview anthropic | kimi k2 turbo preview anthropic | ₽479/M | ₽1 438/M | ₽16 782 |
| Cogviewx | cogviewx | ₽681/M | ₽681/M | ₽17 018 |
| step 1 128k | step 1 128k | ₽384/M | ₽1 918/M | ₽17 258 |
| ibm granite · granite-3.0-2b-instruct | ibm granite | ₽288/M | ₽2 397/M | ₽17 737 |
| gpt 5.5 | openai | ₽360/M | ₽2 157/M | ₽17 977 |
| doubao seedance 1 0 lite | doubao seedance 1 0 lite | ₽719/M | ₽719/M | ₽17 977 |
| veo 1.0 generate preview | veo 1.0 generate preview | ₽719/M | ₽719/M | ₽17 977 |
| gpt image 1.5 | openai | ₽360/M | ₽2 301/M | ₽18 696 |
| ideogram ai · ideogram-v2 | ideogram ai | ₽767/M | ₽767/M | ₽19 175 |
| recraft ai · recraft-v3-svg | recraft ai | ₽767/M | ₽767/M | ₽19 175 |
| hunyuan turbo vision | hunyuan turbo vision | ₽788/M | ₽788/M | ₽19 701 |
| ibm granite · granite-3.0-8b-instruct | ibm granite | ₽479/M | ₽2 397/M | ₽21 572 |
| ibm granite · granite-8b-code-instruct-128k | ibm granite | ₽479/M | ₽2 397/M | ₽21 572 |
| llama 2 7b | meta | ₽479/M | ₽2 397/M | ₽21 572 |
| llama 2 7b chat | meta | ₽479/M | ₽2 397/M | ₽21 572 |
| llama 3 8b instruct | meta llama | ₽479/M | ₽2 397/M | ₽21 572 |
| Meta Llama 3 8B | meta llama 3 8b | ₽479/M | ₽2 397/M | ₽21 572 |
| mistralai · mistral-7b-instruct-v0.2 | mistralai | ₽479/M | ₽2 397/M | ₽21 572 |
| mistralai · mistral-7b-v0.1 | mistralai | ₽479/M | ₽2 397/M | ₽21 572 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽887/M | ₽887/M | ₽22 163 |
| step tts mini | step tts mini | ₽887/M | ₽887/M | ₽22 163 |
| sambert v1 | sambert v1 | ₽985/M | ₽985/M | ₽24 626 |
| SenseVoiceSmall | SenseVoiceSmall | ₽985/M | ₽985/M | ₽24 626 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽719/M | ₽2 157/M | ₽25 168 |
| gpt 4 1106 vision preview | gpt 4 1106 vision preview | ₽719/M | ₽2 157/M | ₽25 168 |
| gpt 4 turbo | openai | ₽719/M | ₽2 157/M | ₽25 168 |
| GPT 4 Vision Preview | gpt 4 vision preview | ₽719/M | ₽2 157/M | ₽25 168 |
| doubao seedance 1 5 pro · 21:9 · 1080p · 10s | seedance | ₽1 021/M | ₽1 021/M | ₽25 527 |
| doubao seedance 1 5 pro · 1:1 · 1080p · 10s | seedance | ₽1 048/M | ₽1 048/M | ₽26 210 |
| doubao seedance 1 5 pro · 4:3 · 1080p · 10s | seedance | ₽1 050/M | ₽1 050/M | ₽26 246 |
| doubao seedance 1 5 pro · 16:9 · 1080p · 10s | seedance | ₽1 056/M | ₽1 056/M | ₽26 390 |
| S1 | s1 | ₽1 079/M | ₽1 079/M | ₽26 965 |
| speech 1.5 | speech 1.5 | ₽1 079/M | ₽1 079/M | ₽26 965 |
| speech 1.6 | speech 1.6 | ₽1 079/M | ₽1 079/M | ₽26 965 |
| doubao seedance 1 5 pro | doubao seedance 1 5 pro | ₽1 151/M | ₽1 151/M | ₽28 763 |
| o3 deep research | openai | ₽719/M | ₽2 876/M | ₽28 763 |
| veo 1.0 generate preview frames | veo 1.0 generate preview frames | ₽1 151/M | ₽1 151/M | ₽28 763 |
| claude fable 5 | anthropic | ₽719/M | ₽3 595/M | ₽32 358 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽1 379/M | ₽1 379/M | ₽34 476 |
| Text Davinci 002 | text davinci 002 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| doubao seedance 2 0 fast · video_input | doubao seedance 2 0 fast | ₽1 582/M | ₽1 582/M | ₽39 549 |
| gpt image 1 | openai | ₽719/M | ₽5 753/M | ₽43 145 |
| O1 | openai | ₽1 079/M | ₽4 314/M | ₽43 145 |
| ibm granite · granite-20b-code-instruct-8k | ibm granite | ₽959/M | ₽4 794/M | ₽43 145 |
| llama 2 13b | meta | ₽959/M | ₽4 794/M | ₽43 145 |
| llama 2 13b chat | meta | ₽959/M | ₽4 794/M | ₽43 145 |
| claude 3 opus | claude 3 opus | ₽1 079/M | ₽5 393/M | ₽48 538 |
| claude opus 4 | anthropic | ₽1 079/M | ₽5 393/M | ₽48 538 |
| speech 01 turbo | speech 01 turbo | ₽1 970/M | ₽1 970/M | ₽49 252 |
| speech 02 turbo | speech 02 turbo | ₽1 970/M | ₽1 970/M | ₽49 252 |
| doubao seedance 2 0 · video_input | doubao seedance 2 0 | ₽2 013/M | ₽2 013/M | ₽50 335 |
| Flux Kontext Max | flux kontext max | ₽2 157/M | ₽2 157/M | ₽53 931 |
| Flux Kontext Pro | black forest labs | ₽2 157/M | ₽2 157/M | ₽53 931 |
| mj chat | mj chat | ₽2 157/M | ₽2 157/M | ₽53 931 |
| veo 3.0 generate preview frames | veo 3.0 generate preview frames | ₽2 157/M | ₽2 157/M | ₽53 931 |
| z image | z image | ₽2 157/M | ₽2 157/M | ₽53 931 |
| o3 pro | openai | ₽1 438/M | ₽5 753/M | ₽57 526 |
| gpt 5 pro | openai | ₽1 079/M | ₽8 629/M | ₽64 717 |
| gpt 4 gizmo * | gpt 4 gizmo * | ₽2 157/M | ₽4 314/M | ₽64 717 |
| doubao seedance 2 0 | doubao seedance 2 0 | ₽2 661/M | ₽2 661/M | ₽66 515 |
| Dall E 2 | dall e 2 | ₽2 876/M | ₽2 876/M | ₽71 908 |
| Dall E 3 | dall e 3 | ₽2 876/M | ₽2 876/M | ₽71 908 |
| paraformer realtime v2 | paraformer realtime v2 | ₽3 448/M | ₽3 448/M | ₽86 191 |
| speech 01 hd | speech 01 hd | ₽3 448/M | ₽3 448/M | ₽86 191 |
| speech 02 hd | speech 02 hd | ₽3 448/M | ₽3 448/M | ₽86 191 |
| wan2.1 14b | wan2.1 14b | ₽3 595/M | ₽3 595/M | ₽89 885 |
| gpt 5.2 pro | openai | ₽1 510/M | ₽12 080/M | ₽90 604 |
| mistralai · mixtral-8x7b-instruct-v0.1 | mistralai | ₽2 876/M | ₽9 588/M | ₽105 465 |
| gpt 5.4 pro | openai | ₽2 157/M | ₽12 943/M | ₽107 862 |
| gpt 5.5 pro | openai | ₽2 157/M | ₽12 943/M | ₽107 862 |
| Doubao tts | Doubao tts | ₽4 925/M | ₽4 925/M | ₽123 130 |
| gpt 5.1 codex mini | openai | ₽2 157/M | ₽17 258/M | ₽129 434 |
| GPT 4 32K | gpt 4 32k | ₽4 314/M | ₽8 629/M | ₽129 434 |
| codegemma 1.1 7b | codegemma 1.1 7b | ₽5 393/M | ₽5 393/M | ₽134 827 |
| codegemma 7b | codegemma 7b | ₽5 393/M | ₽5 393/M | ₽134 827 |
| gemma 2 2b it | gemma 2 2b it | ₽5 393/M | ₽5 393/M | ₽134 827 |
| gemma 3 12b it | ₽5 393/M | ₽5 393/M | ₽134 827 | |
| gemma 3 27b it | ₽5 393/M | ₽5 393/M | ₽134 827 | |
| Imagen 3.0 Generate 002 | imagen 3.0 generate 002 | ₽5 393/M | ₽5 393/M | ₽134 827 |
| Veo 3 | ₽5 393/M | ₽5 393/M | ₽134 827 | |
| veo-3.1 | veo 3 1 | ₽5 393/M | ₽5 393/M | ₽134 827 |
| gpt 4.5 preview | gpt 4.5 preview | ₽5 393/M | ₽10 786/M | ₽161 792 |
| kling v1 | kling v1 | ₽7 191/M | ₽7 191/M | ₽179 769 |
| Claude 2 | claude 2 | ₽5 393/M | ₽16 179/M | ₽188 758 |
| Claude 2.0 | claude 2.0 | ₽5 393/M | ₽16 179/M | ₽188 758 |
| Claude 2.1 | claude 2.1 | ₽5 393/M | ₽16 179/M | ₽188 758 |
| step 1 256k | step 1 256k | ₽9 358/M | ₽2 955/M | ₽201 933 |
| Gemini | gemini exp 1206 | ₽5 393/M | ₽21 572/M | ₽215 723 |
| gemini 1.5 flash 8b | gemini 1.5 flash 8b | ₽5 393/M | ₽21 572/M | ₽215 723 |
| Gemini 2.5 Computer Use Preview 10-2025 | gemini 2.5 computer use preview 10 2025 | ₽5 393/M | ₽21 572/M | ₽215 723 |
| gemini deep research | gemini deep research | ₽5 393/M | ₽21 572/M | ₽215 723 |
| Gemini Flash Latest | gemini flash latest | ₽5 393/M | ₽21 572/M | ₽215 723 |
| Gemini Flash-Lite Latest | gemini flash lite latest nothinking | ₽5 393/M | ₽21 572/M | ₽215 723 |
| gemini live 2.5 flash | gemini live 2.5 flash | ₽5 393/M | ₽21 572/M | ₽215 723 |
| gemini live 2.5 flash preview native audio | gemini live 2.5 flash preview native audio | ₽5 393/M | ₽21 572/M | ₽215 723 |
| kling v1 5 | kling v1 5 | ₽8 629/M | ₽8 629/M | ₽215 723 |
| claude opus 4 5 20251101 an | claude opus 4 5 20251101 an | ₽5 393/M | ₽26 965/M | ₽242 688 |
| llama 2 70b | meta | ₽6 232/M | ₽26 366/M | ₽256 471 |
| llama 2 70b chat | meta | ₽6 232/M | ₽26 366/M | ₽256 471 |
| llama 3 70b instruct | meta llama | ₽6 232/M | ₽26 366/M | ₽256 471 |
| Meta Llama 3 70B | meta llama 3 70b | ₽6 232/M | ₽26 366/M | ₽256 471 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽5 393/M | ₽43 145/M | ₽323 585 |
| kling v2 1 | kling v2 1 | ₽12 943/M | ₽12 943/M | ₽323 585 |
| o1 pro | openai | ₽10 786/M | ₽43 145/M | ₽431 446 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽5 393/M | ₽125 838/M | ₽737 054 |
| parse pdf | parse pdf | ₽197 007/M | ₽197 007/M | ₽4 925 185 |
Изображения
за изображение · 30
▼
Изображения
за изображение · 30
| Модель | Maker | Цена |
|---|---|---|
| gemini 2.5 flash image | ₽1.44/изобр. | |
| gpt 4o image | gpt 4o image | ₽1.44/изобр. |
| kling image v1 | kling image v1 | ₽1.80/изобр. |
| Qwen Image Edit 2509 | Qwen Image Edit 2509 | ₽1.97/изобр. |
| Z Image Turbo | z image turbo | ₽1.98/изобр. |
| Qwen Image 2.0 | qwen image 2.0 | ₽2.06/изобр. |
| Qwen Image Edit Plus | qwen | ₽2.06/изобр. |
| Wan2.7 Image | wan2.7 image | ₽2.06/изобр. |
| doubao seedream 5 0 260128 | doubao seedream 5 0 260128 | ₽2.16/изобр. |
| Gemini 3.1 Flash Image | gemini 3.1 flash image | ₽2.16/изобр. |
| Qwen Image | qwen image | ₽2.44/изобр. |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽2.52/изобр. |
| GPT Image 2 | gpt image 2 | ₽3.60/изобр. |
| Qwen Image 2.0 Pro | qwen image 2.0 pro | ₽5.13/изобр. |
| qwen image edit max | qwen image edit max | ₽5.13/изобр. |
| Qwen Image Max | qwen image max | ₽5.13/изобр. |
| Wan2.7 Image Pro | wan2.7 image pro | ₽5.13/изобр. |
| Gemini 3 Pro Image | gemini 3 pro image | ₽7.19/изобр. |
| kling image standard | kling image standard | ₽7.19/изобр. |
| kling image v2 1 | kling image v2 1 | ₽7.19/изобр. |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽7.91/изобр. |
| gemini 3 pro image preview 4k | gemini 3 pro image preview 4k | ₽8.63/изобр. |
| vidu image | vidu image | ₽13.48/изобр. |
| kling image expand | kling image expand | ₽14.38/изобр. |
| kling image hd | kling image hd | ₽14.38/изобр. |
| kling multi image2image | kling multi image2image | ₽28.76/изобр. |
| image_to_video · gen3a_turbo · 5s | runway | ₽71.91/изобр. |
| image_to_video · gen4_turbo · 5s | runway | ₽71.91/изобр. |
| image_to_video · gen3a_turbo · 10s | runway | ₽144/изобр. |
| image_to_video · gen4_turbo · 10s | runway | ₽144/изобр. |
За запрос
фиксированная цена за вызов · 420
▼
За запрос
фиксированная цена за вызов · 420
| Модель | Maker | Цена |
|---|---|---|
| Tavily | tavily | ₽0.07/вызов |
| Fast | fast | ₽0.14/вызов |
| mita chat · fast-document | mita chat | ₽0.14/вызов |
| mita chat · fast-podcast | mita chat | ₽0.14/вызов |
| mita chat · fast-scholar | mita chat | ₽0.14/вызов |
| mita chat · fast-video | mita chat | ₽0.14/вызов |
| mita chat · fast-web | mita chat | ₽0.14/вызов |
| mita chat · ds-r1-document | mita chat | ₽1.44/вызов |
| mita chat · ds-r1-podcast | mita chat | ₽1.44/вызов |
| mita chat · ds-r1-scholar | mita chat | ₽1.44/вызов |
| mita chat · ds-r1-video | mita chat | ₽1.44/вызов |
| mita chat · ds-r1-web | mita chat | ₽1.44/вызов |
| mj_relax_action | mj_relax_action | ₽1.80/вызов |
| mj_relax_describe | mj_relax_describe | ₽1.80/вызов |
| mj_relax_faceswap | mj_relax_faceswap | ₽1.80/вызов |
| mj_relax_picreader_retry | mj_relax_picreader_retry | ₽1.80/вызов |
| mj_relax_shorten | mj_relax_shorten | ₽1.80/вызов |
| mj_relax_upscale | mj_relax_upscale | ₽1.80/вызов |
| viduq2 turbo · 540p · 2 | viduq2 turbo | ₽2.25/вызов |
| viduq2 turbo · 540p · 3 | viduq2 turbo | ₽2.25/вызов |
| viduq2 turbo · 540p · 4 | viduq2 turbo | ₽2.25/вызов |
| viduq2 turbo · 540p · 5 | viduq2 turbo | ₽2.25/вызов |
| viduq2 turbo · 540p · 6 | viduq2 turbo | ₽2.25/вызов |
| viduq2 turbo · 720p · 2 | viduq2 turbo | ₽2.25/вызов |
| Describe | DESCRIBE | ₽3.60/вызов |
| midjourney relax | midjourney relax | ₽3.60/вызов |
| mj_relax | mj_relax | ₽3.60/вызов |
| mj_relax_blend | mj_relax_blend | ₽3.60/вызов |
| mj_relax_imagine | mj_relax_imagine | ₽3.60/вызов |
| mj_relax_inpaint | mj_relax_inpaint | ₽3.60/вызов |
| mj_relax_modal | mj_relax_modal | ₽3.60/вызов |
| mj_relax_outpaint | mj_relax_outpaint | ₽3.60/вызов |
| mj_relax_pan | mj_relax_pan | ₽3.60/вызов |
| mj_relax_pic_reader | mj_relax_pic_reader | ₽3.60/вызов |
| mj_relax_reroll | mj_relax_reroll | ₽3.60/вызов |
| mj_relax_upscale_2x | mj_relax_upscale_2x | ₽3.60/вызов |
| mj_relax_upscale_4x | mj_relax_upscale_4x | ₽3.60/вызов |
| mj_relax_variation | mj_relax_variation | ₽3.60/вызов |
| mj_turbo_action | mj_turbo_action | ₽3.60/вызов |
| mj_turbo_describe | mj_turbo_describe | ₽3.60/вызов |
| mj_turbo_faceswap | mj_turbo_faceswap | ₽3.60/вызов |
| mj_turbo_picreader_retry | mj_turbo_picreader_retry | ₽3.60/вызов |
| mj_turbo_shorten | mj_turbo_shorten | ₽3.60/вызов |
| mj_turbo_upscale | mj_turbo_upscale | ₽3.60/вызов |
| mj_action | mj_action | ₽3.95/вызов |
| mj_describe | mj_describe | ₽3.95/вызов |
| mj_faceswap | mj_faceswap | ₽3.95/вызов |
| mj_picreader_retry | mj_picreader_retry | ₽3.95/вызов |
| mj_shorten | mj_shorten | ₽3.95/вызов |
| mj_upscale | mj_upscale | ₽3.95/вызов |
| gpt 4 v | gpt 4 v | ₽4.31/вызов |
| V_1_turbo | V_1_TURBO | ₽4.31/вызов |
| vidu2.0 · 360p · 4 | vidu2.0 | ₽4.49/вызов |
| viduq2 · 540p · 1 | viduq2 | ₽4.49/вызов |
| viduq2 · 540p · 2 | viduq2 | ₽4.49/вызов |
| viduq2 · 540p · 3 | viduq2 | ₽4.49/вызов |
| viduq2 pro · 540p · 2 | viduq2 pro | ₽4.49/вызов |
| viduq2 pro · 540p · 3 | viduq2 pro | ₽4.49/вызов |
| viduq2 turbo · 540p · 7 | viduq2 turbo | ₽4.49/вызов |
| viduq2 turbo · 540p · 8 | viduq2 turbo | ₽4.49/вызов |
| viduq2 turbo · 720p · 3 | viduq2 turbo | ₽4.49/вызов |
| ideogram v1 turbo | ideogram v1 turbo | ₽5.03/вызов |
| v3_turbo | v3_turbo | ₽5.75/вызов |
| Ideogram | ideogram | ₽6.47/вызов |
| ideogram turbo | ideogram turbo | ₽6.47/вызов |
| viduq2 · 540p · 4 | viduq2 | ₽6.74/вызов |
| viduq2 · 540p · 5 | viduq2 | ₽6.74/вызов |
| viduq2 · 540p · 6 | viduq2 | ₽6.74/вызов |
| viduq2 · 540p · 7 | viduq2 | ₽6.74/вызов |
| viduq2 · 720p · 1 | viduq2 | ₽6.74/вызов |
| viduq2 pro · 540p · 4 | viduq2 pro | ₽6.74/вызов |
| viduq2 pro · 540p · 5 | viduq2 pro | ₽6.74/вызов |
| viduq2 pro · 720p · 2 | viduq2 pro | ₽6.74/вызов |
| viduq2 turbo · 720p · 4 | viduq2 turbo | ₽6.74/вызов |
| gpt 4 | openai | ₽7.19/вызов |
| mj_edits | mj_edits | ₽7.19/вызов |
| mj_relax_edits | mj_relax_edits | ₽7.19/вызов |
| mj_turbo_blend | mj_turbo_blend | ₽7.19/вызов |
| mj_turbo_edits | mj_turbo_edits | ₽7.19/вызов |
| mj_turbo_imagine | mj_turbo_imagine | ₽7.19/вызов |
| mj_turbo_inpaint | mj_turbo_inpaint | ₽7.19/вызов |
| mj_turbo_outpaint | mj_turbo_outpaint | ₽7.19/вызов |
| mj_turbo_pan | mj_turbo_pan | ₽7.19/вызов |
| mj_turbo_pic_reader | mj_turbo_pic_reader | ₽7.19/вызов |
| mj_turbo_reroll | mj_turbo_reroll | ₽7.19/вызов |
| mj_turbo_upscale_2x | mj_turbo_upscale_2x | ₽7.19/вызов |
| mj_turbo_upscale_4x | mj_turbo_upscale_4x | ₽7.19/вызов |
| mj_turbo_variation | mj_turbo_variation | ₽7.19/вызов |
| V_2_turbo | V_2_TURBO | ₽7.19/вызов |
| ideogram v2 turbo | ideogram v2 turbo | ₽7.91/вызов |
| Midjourney | midjourney | ₽7.91/вызов |
| Mj | mj | ₽7.91/вызов |
| mj_blend | mj_blend | ₽7.91/вызов |
| mj_imagine | mj_imagine | ₽7.91/вызов |
| mj_inpaint | mj_inpaint | ₽7.91/вызов |
| mj_modal | mj_modal | ₽7.91/вызов |
| mj_outpaint | mj_outpaint | ₽7.91/вызов |
| mj_pan | mj_pan | ₽7.91/вызов |
| mj_pic_reader | mj_pic_reader | ₽7.91/вызов |
| mj_reroll | mj_reroll | ₽7.91/вызов |
| mj_upscale_2x | mj_upscale_2x | ₽7.91/вызов |
| mj_upscale_4x | mj_upscale_4x | ₽7.91/вызов |
| mj_variation | mj_variation | ₽7.91/вызов |
| V_1 | V_1 | ₽8.63/вызов |
| V3 | V3 | ₽8.63/вызов |
| vidu1.5 · 360p · 4 | vidu1.5 | ₽8.99/вызов |
| vidu2.0 · 720p · 4 | vidu2.0 | ₽8.99/вызов |
| viduq2 · 540p · 8 | viduq2 | ₽8.99/вызов |
| viduq2 · 720p · 2 | viduq2 | ₽8.99/вызов |
| viduq2 · 720p · 3 | viduq2 | ₽8.99/вызов |
| viduq2 pro · 540p · 6 | viduq2 pro | ₽8.99/вызов |
| viduq2 pro · 540p · 7 | viduq2 pro | ₽8.99/вызов |
| viduq2 pro · 720p · 3 | viduq2 pro | ₽8.99/вызов |
| viduq2 turbo · 720p · 5 | viduq2 turbo | ₽8.99/вызов |
| qwen3.6 plus | qwen | ₽10.28/вызов |
| Upscale | UPSCALE | ₽10.79/вызов |
| V_2 | V_2 | ₽10.79/вызов |
| viduq2 · 720p · 4 | viduq2 | ₽11.24/вызов |
| viduq2 · 720p · 5 | viduq2 | ₽11.24/вызов |
| viduq2 pro · 540p · 8 | viduq2 pro | ₽11.24/вызов |
| viduq2 pro · 720p · 4 | viduq2 pro | ₽11.24/вызов |
| viduq2 turbo · 1080p · 2 | viduq2 turbo | ₽11.24/вызов |
| viduq2 turbo · 720p · 6 | viduq2 turbo | ₽11.24/вызов |
| ideogram default | ideogram default | ₽12.94/вызов |
| v3_quality | v3_quality | ₽12.94/вызов |
| viduq2 · 1080p · 1 | viduq2 | ₽13.48/вызов |
| viduq2 · 720p · 6 | viduq2 | ₽13.48/вызов |
| viduq2 · 720p · 7 | viduq2 | ₽13.48/вызов |
| viduq2 pro · 720p · 5 | viduq2 pro | ₽13.48/вызов |
| viduq2 turbo · 1080p · 3 | viduq2 turbo | ₽13.48/вызов |
| viduq2 turbo · 720p · 7 | viduq2 turbo | ₽13.48/вызов |
| doubao seedance 1.0 pro fast · 1:1 · 480p · 5s | seedance | ₽14.38/вызов |
| doubao seedance 1.0 pro fast · 16:9 · 480p · 5s | seedance | ₽14.38/вызов |
| doubao seedance 1.0 pro fast · 21:9 · 480p · 5s | seedance | ₽14.38/вызов |
| doubao seedance 1.0 pro fast · 4:3 · 480p · 5s | seedance | ₽14.38/вызов |
| veo 2 | veo 2 | ₽14.38/вызов |
| viduq2 · 720p · 8 | viduq2 | ₽15.73/вызов |
| viduq2 pro · 720p · 6 | viduq2 pro | ₽15.73/вызов |
| viduq2 turbo · 1080p · 4 | viduq2 turbo | ₽15.73/вызов |
| viduq2 turbo · 720p · 8 | viduq2 turbo | ₽15.73/вызов |
| kling text to audio | kling text to audio | ₽17.98/вызов |
| kling video to audio | kling video to audio | ₽17.98/вызов |
| vidu1.5 · 720p · 4 | vidu1.5 | ₽17.98/вызов |
| vidu2.0 · 720p · 8 | vidu2.0 | ₽17.98/вызов |
| viduq1 · 1080p · 5 | viduq1 | ₽17.98/вызов |
| viduq1 classic · 1080p · 5 | viduq1 classic | ₽17.98/вызов |
| viduq2 · 1080p · 2 | viduq2 | ₽17.98/вызов |
| viduq2 pro · 1080p · 2 | viduq2 pro | ₽17.98/вызов |
| viduq2 pro · 720p · 7 | viduq2 pro | ₽17.98/вызов |
| viduq2 pro fast · 720p · 1 | viduq2 pro fast | ₽17.98/вызов |
| viduq2 turbo · 1080p · 5 | viduq2 turbo | ₽17.98/вызов |
| ideogram quality | ideogram quality | ₽19.42/вызов |
| viduq2 pro · 720p · 8 | viduq2 pro | ₽20.22/вызов |
| viduq2 turbo · 1080p · 6 | viduq2 turbo | ₽20.22/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽21.57/вызов |
| veo 3.1 fast generate preview · 1080p · audio | veo 3.1 fast generate preview | ₽21.57/вызов |
| veo 3.1 fast generate preview · 1080p · no_audio | veo 3.1 fast generate preview | ₽21.57/вызов |
| veo 3.1 fast generate preview · 4k · audio | veo 3.1 fast generate preview | ₽21.57/вызов |
| veo 3.1 fast generate preview · 4k · no_audio | veo 3.1 fast generate preview | ₽21.57/вызов |
| veo 3.1 fast generate preview · 720p · audio | veo 3.1 fast generate preview | ₽21.57/вызов |
| veo 3.1 fast generate preview · 720p · no_audio | veo 3.1 fast generate preview | ₽21.57/вызов |
| Veo2 | veo2 | ₽21.57/вызов |
| veo2 fast components | veo2 fast components | ₽21.57/вызов |
| veo2 fast frames | veo2 fast frames | ₽21.57/вызов |
| audio1.0 | audio1.0 | ₽22.47/вызов |
| vidu prompt rec | vidu prompt rec | ₽22.47/вызов |
| vidu upscale 1080p | vidu upscale 1080p | ₽22.47/вызов |
| vidu2.0 · 1080p · 4 | vidu2.0 | ₽22.47/вызов |
| viduq2 · 1080p · 3 | viduq2 | ₽22.47/вызов |
| viduq2 pro · 1080p · 3 | viduq2 pro | ₽22.47/вызов |
| viduq2 pro fast · 720p · 2 | viduq2 pro fast | ₽22.47/вызов |
| viduq2 turbo · 1080p · 7 | viduq2 turbo | ₽22.47/вызов |
| viduq2 turbo · 1080p · 8 | viduq2 turbo | ₽24.72/вызов |
| viduq2 · 1080p · 4 | viduq2 | ₽26.97/вызов |
| viduq2 pro · 1080p · 4 | viduq2 pro | ₽26.97/вызов |
| viduq2 pro fast · 720p · 3 | viduq2 pro fast | ₽26.97/вызов |
| doubao seedance 1.0 pro fast · 21:9 · 480p · 10s | seedance | ₽28.04/вызов |
| doubao seedance 1.0 pro fast · 4:3 · 480p · 10s | seedance | ₽28.04/вызов |
| doubao seedance 1.0 pro fast · 1:1 · 480p · 10s | seedance | ₽28.76/вызов |
| doubao seedance 1.0 pro fast · 16:9 · 480p · 10s | seedance | ₽29.48/вызов |
| doubao seedance 1.0 pro fast · 16:9 · 720p · 5s | seedance | ₽30.92/вызов |
| viduq2 · 1080p · 5 | viduq2 | ₽31.46/вызов |
| viduq2 pro · 1080p · 5 | viduq2 pro | ₽31.46/вызов |
| viduq2 pro fast · 720p · 4 | viduq2 pro fast | ₽31.46/вызов |
| doubao seedance 1.0 pro fast · 1:1 · 720p · 5s | seedance | ₽32.36/вызов |
| doubao seedance 1.0 pro fast · 4:3 · 720p · 5s | seedance | ₽33.08/вызов |
| doubao seedance 1 0 lite · 21:9 · 480p · 5s | seedance | ₽33.80/вызов |
| doubao seedance 1 0 lite · 4:3 · 480p · 5s | seedance | ₽33.80/вызов |
| doubao seedance 1.0 pro fast · 21:9 · 720p · 5s | seedance | ₽33.80/вызов |
| doubao seedance 1 0 lite · 1:1 · 480p · 5s | seedance | ₽34.52/вызов |
| doubao seedance 1 0 lite · 16:9 · 480p · 5s | seedance | ₽35.23/вызов |
| kling lip sync per 5s | kling lip sync per 5s | ₽35.95/вызов |
| Veo 2.0 Generate 001 | veo 2.0 generate 001 | ₽35.95/вызов |
| veo 2.0 generate 001 · 720p · audio | veo 2.0 generate 001 | ₽35.95/вызов |
| veo 2.0 generate 001 · 720p · no_audio | veo 2.0 generate 001 | ₽35.95/вызов |
| veo 2.0 generate preview · 720p · audio | veo 2.0 generate preview | ₽35.95/вызов |
| veo 2.0 generate preview · 720p · no_audio | veo 2.0 generate preview | ₽35.95/вызов |
| veo 2.0 generate preview frames | veo 2.0 generate preview frames | ₽35.95/вызов |
| veo3.1 components | veo3.1 components | ₽35.95/вызов |
| vidu1.5 · 720p · 8 | vidu1.5 | ₽35.95/вызов |
| viduq2 · 1080p · 6 | viduq2 | ₽35.95/вызов |
| viduq2 pro · 1080p · 6 | viduq2 pro | ₽35.95/вызов |
| viduq2 pro fast · 1080p · 1 | viduq2 pro fast | ₽35.95/вызов |
| viduq2 pro fast · 720p · 5 | viduq2 pro fast | ₽35.95/вызов |
| viduq2 · 1080p · 7 | viduq2 | ₽40.45/вызов |
| viduq2 pro · 1080p · 7 | viduq2 pro | ₽40.45/вызов |
| viduq2 pro fast · 720p · 6 | viduq2 pro fast | ₽40.45/вызов |
| MiniMax Hailuo 02 · 512p · 6s | MiniMax Hailuo 02 | ₽43.14/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽43.14/вызов |
| veo 3.0 fast generate 001 · 1080p · audio | veo 3.0 fast generate 001 | ₽43.14/вызов |
| veo 3.0 fast generate 001 · 1080p · no_audio | veo 3.0 fast generate 001 | ₽43.14/вызов |
| veo 3.0 fast generate 001 · 720p · audio | veo 3.0 fast generate 001 | ₽43.14/вызов |
| veo 3.0 fast generate 001 · 720p · no_audio | veo 3.0 fast generate 001 | ₽43.14/вызов |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽43.14/вызов |
| veo 3.1 generate preview · 1080p · audio | veo 3.1 generate preview | ₽43.14/вызов |
| veo 3.1 generate preview · 1080p · no_audio | veo 3.1 generate preview | ₽43.14/вызов |
| veo 3.1 generate preview · 4k · audio | veo 3.1 generate preview | ₽43.14/вызов |
| veo 3.1 generate preview · 4k · no_audio | veo 3.1 generate preview | ₽43.14/вызов |
| veo 3.1 generate preview · 720p · audio | veo 3.1 generate preview | ₽43.14/вызов |
| veo 3.1 generate preview · 720p · no_audio | veo 3.1 generate preview | ₽43.14/вызов |
| Veo3 | veo3 | ₽43.14/вызов |
| veo3 fast frames | veo3 fast frames | ₽43.14/вызов |
| veo3 frames | veo3 frames | ₽43.14/вызов |
| veo3.1 | veo3.1 | ₽43.14/вызов |
| veo3.1 components 4k | veo3.1 components 4k | ₽43.14/вызов |
| wan2.7 i2v · 720p · 1 | wan2.7 i2v | ₽43.14/вызов |
| vidu lip sync | vidu lip sync | ₽44.94/вызов |
| vidu upscale 2k | vidu upscale 2k | ₽44.94/вызов |
| vidu1.5 · 1080p · 4 | vidu1.5 | ₽44.94/вызов |
| vidu2.0 · 1080p · 8 | vidu2.0 | ₽44.94/вызов |
| viduq2 · 1080p · 8 | viduq2 | ₽44.94/вызов |
| viduq2 pro · 1080p · 8 | viduq2 pro | ₽44.94/вызов |
| viduq2 pro fast · 1080p · 2 | viduq2 pro fast | ₽44.94/вызов |
| viduq2 pro fast · 720p · 7 | viduq2 pro fast | ₽44.94/вызов |
| viduq2 pro fast · 720p · 8 | viduq2 pro fast | ₽49.44/вызов |
| doubao seedance 1 0 pro · 21:9 · 480p · 5s | seedance | ₽50.34/вызов |
| doubao seedance 1 0 pro · 4:3 · 480p · 5s | seedance | ₽50.34/вызов |
| doubao seedance 1 0 pro · 1:1 · 480p · 5s | seedance | ₽51.77/вызов |
| doubao seedance 1 0 pro · 16:9 · 480p · 5s | seedance | ₽52.49/вызов |
| viduq2 pro fast · 1080p · 3 | viduq2 pro fast | ₽53.93/вызов |
| viduq2 pro fast · 720p · 9 | viduq2 pro fast | ₽53.93/вызов |
| veo 3.0 fast generate preview · 1080p · no_audio | veo 3.0 fast generate preview | ₽57.53/вызов |
| veo 3.0 fast generate preview · 720p · no_audio | veo 3.0 fast generate preview | ₽57.53/вызов |
| viduq2 pro fast · 720p · 10 | viduq2 pro fast | ₽58.43/вызов |
| doubao seedance 1.0 pro fast · 16:9 · 720p · 10s | seedance | ₽61.84/вызов |
| viduq2 pro fast · 1080p · 4 | viduq2 pro fast | ₽62.92/вызов |
| doubao seedance 1.0 pro fast · 1:1 · 720p · 10s | seedance | ₽65.44/вызов |
| doubao seedance 1.0 pro fast · 4:3 · 720p · 10s | seedance | ₽66.16/вызов |
| doubao seedance 1 0 lite · 21:9 · 480p · 10s | seedance | ₽67.59/вызов |
| doubao seedance 1 0 lite · 4:3 · 480p · 10s | seedance | ₽67.59/вызов |
| doubao seedance 1.0 pro fast · 21:9 · 720p · 10s | seedance | ₽68.31/вызов |
| doubao seedance 1 0 lite · 1:1 · 480p · 10s | seedance | ₽69.03/вызов |
| doubao seedance 1 0 lite · 16:9 · 480p · 10s | seedance | ₽69.75/вызов |
| doubao seedance 1.0 pro fast · 21:9 · 1080p · 5s | seedance | ₽71.19/вызов |
| kling effects | kling effects | ₽71.91/вызов |
| kling v1 video | kling v1 video | ₽71.91/вызов |
| kling video extend std | kling video extend std | ₽71.91/вызов |
| MiniMax Hailuo 02 · 512p · 10s | MiniMax Hailuo 02 | ₽71.91/вызов |
| runwayml_gen3a_turbo_5s | runwayml_gen3a_turbo_5s | ₽71.91/вызов |
| runwayml_gen4_turbo_5s | runwayml_gen4_turbo_5s | ₽71.91/вызов |
| veo3.1 4k | veo3.1 4k | ₽71.91/вызов |
| viduq2 pro fast · 1080p · 5 | viduq2 pro fast | ₽71.91/вызов |
| wan2.7 i2v · 1080p · 1 | wan2.7 i2v | ₽71.91/вызов |
| doubao seedance 1.0 pro fast · 1:1 · 1080p · 5s | seedance | ₽73.35/вызов |
| doubao seedance 1.0 pro fast · 4:3 · 1080p · 5s | seedance | ₽73.35/вызов |
| doubao seedance 1 0 lite · 16:9 · 720p · 5s | seedance | ₽74.06/вызов |
| doubao seedance 1.0 pro fast · 16:9 · 1080p · 5s | seedance | ₽74.06/вызов |
| doubao seedance 1 0 lite · 1:1 · 720p · 5s | seedance | ₽77.66/вызов |
| doubao seedance 1 0 lite · 4:3 · 720p · 5s | seedance | ₽78.38/вызов |
| viduq2 pro fast · 1080p · 6 | viduq2 pro fast | ₽80.90/вызов |
| doubao seedance 1 0 lite · 21:9 · 720p · 5s | seedance | ₽81.26/вызов |
| ray v1 | ray v1 | ₽86.29/вызов |
| veo 3.0 fast generate preview · 1080p · audio | veo 3.0 fast generate preview | ₽86.29/вызов |
| veo 3.0 fast generate preview · 720p · audio | veo 3.0 fast generate preview | ₽86.29/вызов |
| wan2.7 i2v · 720p · 2 | wan2.7 i2v | ₽86.29/вызов |
| vidu upscale 4k | vidu upscale 4k | ₽89.88/вызов |
| vidu1.5 · 1080p · 8 | vidu1.5 | ₽89.88/вызов |
| viduq2 pro fast · 1080p · 7 | viduq2 pro fast | ₽89.88/вызов |
| MiniMax Hailuo 2.3 | MiniMax Hailuo 2.3 | ₽97.08/вызов |
| MiniMax Hailuo 2.3 Fast · 768p · 6s | MiniMax Hailuo 2.3 Fast | ₽97.08/вызов |
| viduq2 pro fast · 1080p · 8 | viduq2 pro fast | ₽98.87/вызов |
| doubao seedance 1 0 pro · 21:9 · 480p · 10s | seedance | ₽101/вызов |
| doubao seedance 1 0 pro · 4:3 · 480p · 10s | seedance | ₽101/вызов |
| doubao seedance 1 0 pro · 1:1 · 480p · 10s | seedance | ₽104/вызов |
| doubao seedance 1 0 pro · 16:9 · 480p · 10s | seedance | ₽105/вызов |
| kling v2 5 turbo | kling v2 5 turbo | ₽108/вызов |
| kling v2 5 turbo video | kling v2 5 turbo video | ₽108/вызов |
| kling v2 6 | kling v2 6 | ₽108/вызов |
| kling v2 6 · std · 5 | kling v2 6 | ₽108/вызов |
| kling v2 6 video | kling v2 6 video | ₽108/вызов |
| kling video v2 5 turbo | kling video v2 5 turbo | ₽108/вызов |
| kling video v2 5 turbo video | kling video v2 5 turbo video | ₽108/вызов |
| kling video:kling v2 6:std:5s | kling video:kling v2 6:std:5s | ₽108/вызов |
| viduq2 pro fast · 1080p · 9 | viduq2 pro fast | ₽108/вызов |
| doubao seedance 1 0 pro · 16:9 · 720p · 5s | seedance | ₽111/вызов |
| veo 3.0 generate 001 · 1080p · no_audio | veo 3.0 generate 001 | ₽115/вызов |
| veo 3.0 generate 001 · 720p · no_audio | veo 3.0 generate 001 | ₽115/вызов |
| veo 3.0 generate preview · 1080p · no_audio | veo 3.0 generate preview | ₽115/вызов |
| veo 3.0 generate preview · 720p · no_audio | veo 3.0 generate preview | ₽115/вызов |
| doubao seedance 1 0 pro · 1:1 · 720p · 5s | seedance | ₽116/вызов |
| viduq2 pro | viduq2 pro | ₽117/вызов |
| viduq2 pro fast · 1080p · 10 | viduq2 pro fast | ₽117/вызов |
| doubao seedance 1 0 pro · 4:3 · 720p · 5s | seedance | ₽118/вызов |
| doubao seedance 1 0 pro · 21:9 · 720p · 5s | seedance | ₽122/вызов |
| wan2.7 i2v · 720p · 3 | wan2.7 i2v | ₽129/вызов |
| doubao seedance 1.0 pro fast · 21:9 · 1080p · 10s | seedance | ₽143/вызов |
| character_performance · act_two | runway | ₽144/вызов |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽144/вызов |
| kling v1 5 video | kling v1 5 video | ₽144/вызов |
| kling v1 6 video | kling v1 6 video | ₽144/вызов |
| kling v2 1 video | kling v2 1 video | ₽144/вызов |
| MiniMax Hailuo 02 | MiniMax Hailuo 02 | ₽144/вызов |
| MiniMax Hailuo 02 · 768p · 6s | MiniMax Hailuo 02 | ₽144/вызов |
| MiniMax Hailuo 2.3 · 768p · 6s | MiniMax Hailuo 2.3 | ₽144/вызов |
| runwayml_act_two | runwayml_act_two | ₽144/вызов |
| runwayml_gen3a_turbo_10s | runwayml_gen3a_turbo_10s | ₽144/вызов |
| runwayml_gen4_turbo_10s | runwayml_gen4_turbo_10s | ₽144/вызов |
| veo3.1 pro | veo3.1 pro | ₽144/вызов |
| veo3.1 pro 4k | veo3.1 pro 4k | ₽144/вызов |
| wan2.7 i2v · 1080p · 2 | wan2.7 i2v | ₽144/вызов |
| doubao seedance 1.0 pro fast · 1:1 · 1080p · 10s | seedance | ₽147/вызов |
| doubao seedance 1.0 pro fast · 4:3 · 1080p · 10s | seedance | ₽147/вызов |
| doubao seedance 1 0 lite · 16:9 · 720p · 10s | seedance | ₽148/вызов |
| doubao seedance 1.0 pro fast · 16:9 · 1080p · 10s | seedance | ₽148/вызов |
| doubao seedance 1 0 lite · 1:1 · 720p · 10s | seedance | ₽155/вызов |
| doubao seedance 1 0 lite · 4:3 · 720p · 10s | seedance | ₽157/вызов |
| MiniMax Hailuo 2.3 Fast · 768p · 10s | MiniMax Hailuo 2.3 Fast | ₽162/вызов |
| doubao seedance 1 0 lite · 21:9 · 720p · 10s | seedance | ₽163/вызов |
| Minimax Hailuo 2.3 Fast 1080p 6s | Minimax Hailuo 2.3 Fast 1080p 6s | ₽166/вызов |
| doubao seedance 1 0 lite · 21:9 · 1080p · 5s | seedance | ₽170/вызов |
| wan2.7 i2v · 720p · 4 | wan2.7 i2v | ₽173/вызов |
| doubao seedance 1 0 lite · 1:1 · 1080p · 5s | seedance | ₽175/вызов |
| doubao seedance 1 0 lite · 4:3 · 1080p · 5s | seedance | ₽175/вызов |
| doubao seedance 1 0 lite · 16:9 · 1080p · 5s | seedance | ₽176/вызов |
| kling v2 5 turbo video pro | kling v2 5 turbo video pro | ₽180/вызов |
| kling v2 6 · pro · 5 | kling v2 6 | ₽180/вызов |
| kling v2 6 video pro | kling v2 6 video pro | ₽180/вызов |
| kling video:kling v2 6:pro:5s | kling video:kling v2 6:pro:5s | ₽180/вызов |
| Viduq1 | viduq1 | ₽180/вызов |
| viduq1 classic | viduq1 classic | ₽180/вызов |
| Viduq2 | viduq2 | ₽202/вызов |
| I2V 01 | I2V 01 | ₽216/вызов |
| I2V 01 Director | I2V 01 Director | ₽216/вызов |
| I2V 01 live | I2V 01 live | ₽216/вызов |
| kling v2 6 · std · 10 | kling v2 6 | ₽216/вызов |
| kling video edit v1 6 std | kling video edit v1 6 std | ₽216/вызов |
| kling video:kling v2 6:std:10s | kling video:kling v2 6:std:10s | ₽216/вызов |
| T2V 01 | T2V 01 | ₽216/вызов |
| T2V 01 Director | T2V 01 Director | ₽216/вызов |
| veo2 pro | veo2 pro | ₽216/вызов |
| veo2 pro components | veo2 pro components | ₽216/вызов |
| wan2.7 i2v · 1080p · 3 | wan2.7 i2v | ₽216/вызов |
| wan2.7 i2v · 720p · 5 | wan2.7 i2v | ₽216/вызов |
| doubao seedance 1 0 pro · 16:9 · 720p · 10s | seedance | ₽222/вызов |
| vidu2.0 | vidu2.0 | ₽225/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽230/вызов |
| veo 3.0 generate 001 · 1080p · audio | veo 3.0 generate 001 | ₽230/вызов |
| veo 3.0 generate 001 · 720p · audio | veo 3.0 generate 001 | ₽230/вызов |
| veo 3.0 generate preview · 1080p · audio | veo 3.0 generate preview | ₽230/вызов |
| veo 3.0 generate preview · 720p · audio | veo 3.0 generate preview | ₽230/вызов |
| doubao seedance 1 0 pro · 1:1 · 720p · 10s | seedance | ₽233/вызов |
| doubao seedance 1 0 pro · 4:3 · 720p · 10s | seedance | ₽236/вызов |
| viduq2 turbo | viduq2 turbo | ₽236/вызов |
| doubao seedance 1 0 pro · 21:9 · 720p · 10s | seedance | ₽243/вызов |
| kling v1 5 video pro | kling v1 5 video pro | ₽252/вызов |
| kling v1 6 video pro | kling v1 6 video pro | ₽252/вызов |
| kling v1 video pro | kling v1 video pro | ₽252/вызов |
| kling v2 1 video pro | kling v2 1 video pro | ₽252/вызов |
| kling video extend pro | kling video extend pro | ₽252/вызов |
| Minimax Hailuo 02 1080p 6s | Minimax Hailuo 02 1080p 6s | ₽252/вызов |
| Minimax Hailuo 2.3 1080p 6s | Minimax Hailuo 2.3 1080p 6s | ₽252/вызов |
| doubao seedance 1 0 pro · 21:9 · 1080p · 5s | seedance | ₽255/вызов |
| wan2.7 i2v · 720p · 6 | wan2.7 i2v | ₽259/вызов |
| doubao seedance 1 0 pro · 1:1 · 1080p · 5s | seedance | ₽262/вызов |
| doubao seedance 1 0 pro · 4:3 · 1080p · 5s | seedance | ₽262/вызов |
| doubao seedance 1 0 pro · 16:9 · 1080p · 5s | seedance | ₽264/вызов |
| MiniMax Hailuo 02 · 768p · 10s | MiniMax Hailuo 02 | ₽288/вызов |
| MiniMax Hailuo 2.3 · 768p · 10s | MiniMax Hailuo 2.3 | ₽288/вызов |
| mj_relax_video | mj_relax_video | ₽288/вызов |
| runwayml_gen4_aleph | runwayml_gen4_aleph | ₽288/вызов |
| video_to_video · gen4_aleph | runway | ₽288/вызов |
| wan2.7 i2v · 1080p · 4 | wan2.7 i2v | ₽288/вызов |
| wan2.7 i2v · 720p · 7 | wan2.7 i2v | ₽302/вызов |
| S2V 01 | S2V 01 | ₽324/вызов |
| doubao seedance 1 0 lite · 21:9 · 1080p · 10s | seedance | ₽340/вызов |
| wan2.7 i2v · 720p · 8 | wan2.7 i2v | ₽345/вызов |
| doubao seedance 1 0 lite · 1:1 · 1080p · 10s | seedance | ₽349/вызов |
| doubao seedance 1 0 lite · 4:3 · 1080p · 10s | seedance | ₽350/вызов |
| doubao seedance 1 0 lite · 16:9 · 1080p · 10s | seedance | ₽352/вызов |
| kling v2 6 · pro · 10 | kling v2 6 | ₽360/вызов |
| kling v2 6 · pro · 5 · audio | kling v2 6 | ₽360/вызов |
| kling v2 6 video pro audio | kling v2 6 video pro audio | ₽360/вызов |
| kling video edit v1 6 pro | kling video edit v1 6 pro | ₽360/вызов |
| kling video:kling v2 6:pro:10s | kling video:kling v2 6:pro:10s | ₽360/вызов |
| kling video:kling v2 6:pro:5s:audio | kling video:kling v2 6:pro:5s:audio | ₽360/вызов |
| mj_video | mj_video | ₽360/вызов |
| vidu upscale 8k | vidu upscale 8k | ₽360/вызов |
| wan2.7 i2v · 1080p · 5 | wan2.7 i2v | ₽360/вызов |
| wan2.7 i2v · 720p · 9 | wan2.7 i2v | ₽388/вызов |
| kling v2 6 · pro · 5 · audio · voice | kling v2 6 | ₽431/вызов |
| kling v2 6 video pro audio voice | kling v2 6 video pro audio voice | ₽431/вызов |
| mj_turbo_video | mj_turbo_video | ₽431/вызов |
| veo3 pro | veo3 pro | ₽431/вызов |
| veo3 pro frames | veo3 pro frames | ₽431/вызов |
| wan2.7 i2v · 1080p · 6 | wan2.7 i2v | ₽431/вызов |
| wan2.7 i2v · 720p · 10 | wan2.7 i2v | ₽431/вызов |
| vidu1.5 | vidu1.5 | ₽449/вызов |
| wan2.7 i2v · 1080p · 7 | wan2.7 i2v | ₽503/вызов |
| doubao seedance 1 0 pro · 21:9 · 1080p · 10s | seedance | ₽511/вызов |
| doubao seedance 1 0 pro · 1:1 · 1080p · 10s | seedance | ₽524/вызов |
| doubao seedance 1 0 pro · 4:3 · 1080p · 10s | seedance | ₽525/вызов |
| doubao seedance 1 0 pro · 16:9 · 1080p · 10s | seedance | ₽528/вызов |
| wan2.7 i2v · 1080p · 8 | wan2.7 i2v | ₽575/вызов |
| wan2.7 i2v · 1080p · 9 | wan2.7 i2v | ₽647/вызов |
| kling v2 1 master video | kling v2 1 master video | ₽719/вызов |
| kling v2 6 · pro · 10 · audio | kling v2 6 | ₽719/вызов |
| kling v2 master video | kling v2 master video | ₽719/вызов |
| kling video:kling v2 6:pro:10s:audio | kling video:kling v2 6:pro:10s:audio | ₽719/вызов |
| wan2.7 i2v · 1080p · 10 | wan2.7 i2v | ₽719/вызов |
| kling v2 6 · pro · 10 · audio · voice | kling v2 6 | ₽863/вызов |
Без публичной цены
нет данных в открытых источниках · 1
▼
Без публичной цены
нет данных в открытых источниках · 1
| Модель | Maker | Примечание |
|---|---|---|
| mj_turbo_modal | mj_turbo_modal | — |
Как мы считаем цены
Провайдер на движке OneAPI/New API: в каталоге цены задаются коэффициентами model_ratio и completion_ratio, а не прямой строкой «$X за 1M токенов». Мы пересчитываем ratio в USD по формуле OneAPI: input ≈ model_ratio × $2 × group_ratio за 1M токенов, output умножается на completion_ratio. Часть моделей billed за вызов (изображение, видео, search) — фикс USD за запрос. Итог зависит от group_ratio — группы маршрута/upstream у API-ключа. o3.fan — New API v9.6.0, pricing в map-формате (ModelRatio, GroupRatio). Конфиг для Cherry Studio / Claude Code на сайте.
О провайдере
О сервисе
o3.fan — mega-каталог New API: Midjourney, веб-чат o3-chat, docs на docs.o3.fan. Оплата USD через карту, PayPal, USDT или Alipay.
Как сравнивать на AI-APISHKA
На AI-APISHKA сравнивайте пересчитанную ₽/1M или $/1M для той же модели у разных агрегаторов. У OneAPI-сервисов ratio свой — одинаковое имя модели не гарантирует одинаковую цену у LaoZhang, o3.fan, NeuroAPI и других. o3.fan vs oCoolAI — разные ratio при одинаковых именах моделей.
Частые вопросы
- o3.fan — сколько моделей?
- 1600+ в каталоге AI-APISHKA; полный список через GET /api/pricing и на странице провайдера.
- Чем map-pricing o3.fan отличается от list-pricing?
- ModelRatio и GroupRatio — JSON maps, не массив. Формула пересчёта в $/1M та же, что у OneAPI.
- o3.fan vs oCoolAI — что выбрать?
- Оба OneAPI map-format. Сравнивайте пересчитанные $/1M на странице нужной модели — ratio различаются.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
o3.fan предлагает 1251 моделей AI API. Средняя цена — ₽1 153/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.0002/M (search serper).
Сравните цены на search serper , Llama 3.1 8B Instant , llama 3.2 11b text preview , Llama 3.2 11B Vision Preview и Llama 3.2 1B Preview у других провайдеров или в каталоге агрегаторов . Данные обновлены 14.06.2026.