o3.fan
Сайт ↗1600+ моделей OneAPI: map-pricing, один из крупнейших каталогов
- Моделей
- 449
- Средняя цена
- ₽1 497/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 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 82.9977 ₽ · 1 CNY = 12.278 ₽ · 13.08.2026
449 моделей
Текст и чат
оплата за токены · 416
▼
Текст и чат
оплата за токены · 416
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| glm 4.6v flash | glm 4.6v flash | ₽0.0083/M | ₽0.0083/M | ₽0 |
| codegeex 4 | codegeex 4 | ₽1.14/M | ₽1.14/M | ₽28 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽1.14/M | ₽1.14/M | ₽28 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽1.14/M | ₽1.14/M | ₽28 |
| GLM 4 Flash | glm 4 flash | ₽1.14/M | ₽1.14/M | ₽28 |
| glm 4 flashx | glm 4 flashx | ₽1.14/M | ₽1.14/M | ₽28 |
| GLM 4V Flash | GLM 4V Flash | ₽1.14/M | ₽1.14/M | ₽28 |
| glm z1 flash | glm z1 flash | ₽1.14/M | ₽1.14/M | ₽28 |
| hunyuan lite | hunyuan lite | ₽1.14/M | ₽1.14/M | ₽28 |
| Jina Embeddings V3 | jina embeddings v3 | ₽1.14/M | ₽1.14/M | ₽28 |
| text embedding 3 small | openai | ₽1.66/M | ₽1.66/M | ₽41 |
| jina clip v1 | jina clip v1 | ₽1.71/M | ₽1.71/M | ₽43 |
| jina colbert v1 en | jina colbert v1 en | ₽1.71/M | ₽1.71/M | ₽43 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽1.71/M | ₽1.71/M | ₽43 |
| Jina Reranker M0 | jina reranker m0 | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 base en | jina reranker v1 base en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽1.71/M | ₽1.71/M | ₽43 |
| tts 1 | openai | ₽2.49/M | ₽2.49/M | ₽62 |
| Tts 1 1106 | tts 1 1106 | ₽2.49/M | ₽2.49/M | ₽62 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽2.27/M | ₽4.55/M | ₽68 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽3.41/M | ₽6.82/M | ₽102 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽3.41/M | ₽6.82/M | ₽102 |
| ERNIE Character 8K | ERNIE Character 8K | ₽3.41/M | ₽6.82/M | ₽102 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽3.41/M | ₽6.82/M | ₽102 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽3.41/M | ₽6.82/M | ₽102 |
| Qwen Turbo | qwen turbo | ₽3.41/M | ₽6.82/M | ₽102 |
| tts 1 hd | openai | ₽4.98/M | ₽4.98/M | ₽124 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽4.98/M | ₽4.98/M | ₽124 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽3.32/M | ₽13.28/M | ₽133 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.41/M | ₽13.64/M | ₽136 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.41/M | ₽13.64/M | ₽136 |
| Qwen3 4B | qwen3 4b | ₽3.41/M | ₽13.64/M | ₽136 |
| Bce Reranker Base | bce reranker base | ₽5.68/M | ₽5.68/M | ₽142 |
| Bge Large En | bge large en | ₽5.68/M | ₽5.68/M | ₽142 |
| Bge Large Zh | bge large zh | ₽5.68/M | ₽5.68/M | ₽142 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽5.68/M | ₽5.68/M | ₽142 |
| Embedding 2 | embedding 2 | ₽5.68/M | ₽5.68/M | ₽142 |
| Embedding 3 | embedding 3 | ₽5.68/M | ₽5.68/M | ₽142 |
| Embedding V1 | embedding 001 | ₽5.68/M | ₽5.68/M | ₽142 |
| glm z1 air | glm z1 air | ₽5.68/M | ₽5.68/M | ₽142 |
| Qwen Text Embedding v3 | alibaba | ₽5.68/M | ₽5.68/M | ₽142 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽5.68/M | ₽5.68/M | ₽142 |
| qwen3-embedding-0.6b | qwen | ₽5.68/M | ₽5.68/M | ₽142 |
| Tao 8K | tao 8k | ₽5.68/M | ₽5.68/M | ₽142 |
| gpt 5.6 luna | openai | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna high | gpt 5.6 luna high | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna high openai compact | gpt 5.6 luna high openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna low | gpt 5.6 luna low | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna low openai compact | gpt 5.6 luna low openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna max | gpt 5.6 luna max | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna max openai compact | gpt 5.6 luna max openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna medium | gpt 5.6 luna medium | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna medium openai compact | gpt 5.6 luna medium openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna openai compact | gpt 5.6 luna openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna ultra | gpt 5.6 luna ultra | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna ultra openai compact | gpt 5.6 luna ultra openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna xhigh | gpt 5.6 luna xhigh | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna xhigh openai compact | gpt 5.6 luna xhigh openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽7.96/M | ₽7.96/M | ₽199 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽7.96/M | ₽7.96/M | ₽199 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽7.96/M | ₽7.96/M | ₽199 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽7.96/M | ₽7.96/M | ₽199 |
| gte rerank | gte rerank | ₽7.96/M | ₽7.96/M | ₽199 |
| hunyuan embedding | hunyuan embedding | ₽7.96/M | ₽7.96/M | ₽199 |
| Sora 2 | Sora 2 | ₽8.30/M | ₽8.30/M | ₽207 |
| Text Embedding ADA | text embedding ada | ₽8.30/M | ₽8.30/M | ₽207 |
| Qwen Long | qwen long | ₽5.68/M | ₽22.74/M | ₽227 |
| qwen3 8b | qwen | ₽5.68/M | ₽22.74/M | ₽227 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| Bge Reranker V2 M3 | BAAI | ₽10.23/M | ₽10.23/M | ₽256 |
| text embedding 3 large | openai | ₽10.79/M | ₽10.79/M | ₽270 |
| Qwen-MT Turbo | alibaba | ₽7.96/M | ₽22.17/M | ₽270 |
| Yi Lightning | yi lightning | ₽11.26/M | ₽11.26/M | ₽281 |
| abab6.5s chat | abab6.5s chat | ₽11.37/M | ₽11.37/M | ₽284 |
| charglm 4 | charglm 4 | ₽11.37/M | ₽11.37/M | ₽284 |
| GLM 3 Turbo | glm 3 turbo | ₽11.37/M | ₽11.37/M | ₽284 |
| glm 4 air | glm 4 air | ₽11.37/M | ₽11.37/M | ₽284 |
| GLM 4 Long | GLM 4 Long | ₽11.37/M | ₽11.37/M | ₽284 |
| SparkDesk Lite | SparkDesk Lite | ₽11.37/M | ₽11.37/M | ₽284 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽9.10/M | ₽22.74/M | ₽296 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽9.10/M | ₽22.74/M | ₽296 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽9.10/M | ₽22.74/M | ₽296 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽9.10/M | ₽22.74/M | ₽296 |
| hunyuan standard | hunyuan standard | ₽9.10/M | ₽22.74/M | ₽296 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽9.10/M | ₽22.74/M | ₽296 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽8.30/M | ₽33.20/M | ₽332 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | ₽16.60/M | ₽1.66/M | ₽340 |
| step 2 mini | step 2 mini | ₽11.37/M | ₽22.74/M | ₽341 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽9.10/M | ₽36.38/M | ₽364 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽9.10/M | ₽36.38/M | ₽364 |
| Gemini Embedding 2 | gemini embedding 2 | ₽16.60/M | ₽16.60/M | ₽415 |
| KAT Coder Air V1 | KAT Coder Air V1 | ₽16.60/M | ₽16.60/M | ₽415 |
| KAT Coder Pro V1 | KAT Coder Pro V1 | ₽16.60/M | ₽16.60/M | ₽415 |
| Omni Moderation | omni moderation latest | ₽16.60/M | ₽16.60/M | ₽415 |
| Wan 2.2 I2V Flash | alibaba | ₽16.60/M | ₽16.60/M | ₽415 |
| Wan 2.2 KF2V Flash | alibaba | ₽16.60/M | ₽16.60/M | ₽415 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽11.12/M | ₽44.49/M | ₽445 |
| hunyuan t1 | hunyuan t1 | ₽11.37/M | ₽45.48/M | ₽455 |
| qwen3 14b | qwen | ₽11.37/M | ₽45.48/M | ₽455 |
| qwen3.5 plus | qwen3.5 plus | ₽9.10/M | ₽54.58/M | ₽455 |
| Doubao Seed 1.6 Flash | bytedance | ₽6.82/M | ₽68.22/M | ₽478 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽6.82/M | ₽68.22/M | ₽478 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽13.64/M | ₽40.93/M | ₽478 |
| Qwen3-VL Flash | alibaba | ₽6.82/M | ₽68.22/M | ₽478 |
| Gemini 1.5 Flash | gemini 1.5 flash | ₽12.45/M | ₽49.80/M | ₽498 |
| gemini 2.5 flash preview native audio dialog | gemini 2.5 flash preview native audio dialog | ₽12.45/M | ₽49.80/M | ₽498 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.45/M | ₽49.80/M | ₽498 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽49.80/M | ₽498 |
| DeepSeek-V3 | deepseek ai | ₽13.28/M | ₽53.12/M | ₽531 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Qwq 32b | qwen | ₽23.24/M | ₽23.24/M | ₽581 |
| Wan 2.2 I2V Plus | alibaba | ₽23.24/M | ₽23.24/M | ₽581 |
| Wan 2.2 T2V Plus | alibaba | ₽23.24/M | ₽23.24/M | ₽581 |
| Qwen-VL Plus | alibaba | ₽17.05/M | ₽54.57/M | ₽614 |
| gpt 5.4 mini | openai | ₽12.45/M | ₽74.70/M | ₽622 |
| Sora 2 Pro | sora 2 pro | ₽24.90/M | ₽24.90/M | ₽622 |
| DeepSeek 3.2 Speciale | deepseek v3.2 speciale | ₽22.74/M | ₽34.11/M | ₽625 |
| deepseek reasoner v3.2 | deepseek reasoner v3.2 | ₽22.74/M | ₽34.11/M | ₽625 |
| deepseek v3.2 | deepseek | ₽22.74/M | ₽34.11/M | ₽625 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽9.10/M | ₽90.96/M | ₽637 |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | ₽9.10/M | ₽90.97/M | ₽637 |
| Qwen Plus | qwen plus | ₽9.10/M | ₽90.97/M | ₽637 |
| DeepSeek R1 | deepseek r1 | ₽16.60/M | ₽66.40/M | ₽664 |
| MiniMax Text 01 | MiniMax Text 01 | ₽11.37/M | ₽90.96/M | ₽682 |
| qwen3 30b a3b | qwen | ₽17.05/M | ₽68.22/M | ₽682 |
| deepseek v4 flash | deepseek | ₽23.24/M | ₽46.48/M | ₽697 |
| Qwen-MT Plus | alibaba | ₽20.47/M | ₽61.40/M | ₽716 |
| glm 4.5 air | z ai | ₽13.64/M | ₽90.96/M | ₽728 |
| GLM 4.5 Airx | glm 4.5 airx | ₽13.64/M | ₽90.96/M | ₽728 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽22.74/M | ₽56.85/M | ₽739 |
| Grok 3 Mini | grok 3 mini | ₽24.90/M | ₽49.80/M | ₽747 |
| glm 4.6v | z ai | ₽22.74/M | ₽68.22/M | ₽796 |
| qwen coder turbo | qwen coder turbo | ₽22.74/M | ₽68.22/M | ₽796 |
| qwen math turbo | qwen math turbo | ₽22.74/M | ₽68.22/M | ₽796 |
| DeepSeek Chat (V3) | deepseek chat | ₽22.74/M | ₽90.96/M | ₽910 |
| Claude 3 Haiku | Anthropic | ₽20.75/M | ₽104/M | ₽934 |
| Claude 3.5 Haiku | Anthropic | ₽20.75/M | ₽104/M | ₽934 |
| minimax m2.1 | minimax | ₽23.87/M | ₽95.48/M | ₽955 |
| minimax m2.5 | minimax | ₽23.87/M | ₽95.48/M | ₽955 |
| minimax m2 | minimax | ₽23.88/M | ₽95.50/M | ₽955 |
| Qwen Flash | alibaba | ₽13.64/M | ₽136/M | ₽955 |
| wanx2.1 i2v turbo | wanx2.1 i2v turbo | ₽39.84/M | ₽39.84/M | ₽996 |
| wanx2.1 t2v turbo | wanx2.1 t2v turbo | ₽39.84/M | ₽39.84/M | ₽996 |
| Moonshot V1 8K | moonshot v1 8k | ₽22.74/M | ₽114/M | ₽1 023 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽22.74/M | ₽114/M | ₽1 023 |
| step 1o turbo vision | step 1o turbo vision | ₽28.42/M | ₽90.96/M | ₽1 023 |
| step r1 v mini | step r1 v mini | ₽28.42/M | ₽90.96/M | ₽1 023 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽20.47/M | ₽123/M | ₽1 023 |
| gemini 3.1 flash lite | ₽20.75/M | ₽124/M | ₽1 037 | |
| Qwen Max | qwen max | ₽27.29/M | ₽109/M | ₽1 092 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽24.90/M | ₽124/M | ₽1 120 |
| Kimi K2 | kimi k2 | ₽28.88/M | ₽116/M | ₽1 155 |
| grok 4.5 | x ai | ₽33.20/M | ₽99.60/M | ₽1 162 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽34.11/M | ₽102/M | ₽1 194 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽34.11/M | ₽102/M | ₽1 194 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽34.11/M | ₽102/M | ₽1 194 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽34.11/M | ₽102/M | ₽1 194 |
| Qwen-VL Max | alibaba | ₽34.11/M | ₽102/M | ₽1 194 |
| qwen coder plus | qwen coder plus | ₽39.79/M | ₽79.59/M | ₽1 194 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽83.00/M | ₽1 245 |
| Wan 2.5 I2V Preview | alibaba | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Wan 2.5 T2V Preview | alibaba | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Gemini 1.5 Pro | gemini 1.5 pro | ₽33.20/M | ₽133/M | ₽1 328 |
| Gemini 2.0 Flash Lite | ₽33.20/M | ₽133/M | ₽1 328 | |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| hunyuan code | hunyuan code | ₽45.48/M | ₽90.96/M | ₽1 364 |
| hunyuan functioncall | hunyuan functioncall | ₽45.48/M | ₽90.96/M | ₽1 364 |
| hunyuan role | hunyuan role | ₽45.48/M | ₽90.96/M | ₽1 364 |
| abab5.5s chat | abab5.5s chat | ₽56.85/M | ₽56.85/M | ₽1 421 |
| abab6.5g chat | abab6.5g chat | ₽56.85/M | ₽56.85/M | ₽1 421 |
| abab6.5t chat | abab6.5t chat | ₽56.85/M | ₽56.85/M | ₽1 421 |
| glm z1 airx | glm z1 airx | ₽56.85/M | ₽56.85/M | ₽1 421 |
| Qwen-VL OCR | alibaba | ₽56.85/M | ₽56.85/M | ₽1 421 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽23.88/M | ₽191/M | ₽1 433 |
| glm 4.7 | z ai | ₽34.86/M | ₽163/M | ₽1 510 |
| deepseek v3.1 terminus | deepseek | ₽45.48/M | ₽136/M | ₽1 592 |
| hunyuan large | hunyuan large | ₽45.48/M | ₽136/M | ₽1 592 |
| qwen math plus | qwen math plus | ₽45.48/M | ₽136/M | ₽1 592 |
| qwen3 235b a22b | qwen | ₽45.48/M | ₽136/M | ₽1 592 |
| deepseek v3.1 | deepseek v3.1 | ₽45.48/M | ₽136/M | ₽1 592 |
| gpt 5.6 terra | openai | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra high | gpt 5.6 terra high | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra high openai compact | gpt 5.6 terra high openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra low | gpt 5.6 terra low | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra low openai compact | gpt 5.6 terra low openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra max | gpt 5.6 terra max | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra max openai compact | gpt 5.6 terra max openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra medium | gpt 5.6 terra medium | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra medium openai compact | gpt 5.6 terra medium openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra openai compact | gpt 5.6 terra openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra ultra | gpt 5.6 terra ultra | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra ultra openai compact | gpt 5.6 terra ultra openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra xhigh | gpt 5.6 terra xhigh | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra xhigh openai compact | gpt 5.6 terra xhigh openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 sol xhigh | gpt 5.6 sol xhigh | ₽83.00/M | ₽8.30/M | ₽1 701 |
| yi vision v2 | yi vision v2 | ₽68.22/M | ₽68.22/M | ₽1 705 |
| gpt 5.2 | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.3 codex spark | gpt 5.3 codex spark | ₽29.05/M | ₽232/M | ₽1 743 |
| DeepSeek V3 | deepseek search | ₽44.82/M | ₽179/M | ₽1 793 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽45.48/M | ₽182/M | ₽1 819 |
| glm 4.5 | z ai | ₽45.48/M | ₽182/M | ₽1 819 |
| glm 4.6 | z ai | ₽45.48/M | ₽182/M | ₽1 819 |
| GLM-5 | glm 5 | ₽45.48/M | ₽182/M | ₽1 819 |
| gpt oss 120b | openai | ₽45.65/M | ₽183/M | ₽1 826 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽27.29/M | ₽273/M | ₽1 910 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽27.29/M | ₽273/M | ₽1 910 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽27.29/M | ₽273/M | ₽1 910 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽27.29/M | ₽273/M | ₽1 910 |
| minimax m1 | minimax | ₽27.29/M | ₽273/M | ₽1 910 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽47.76/M | ₽191/M | ₽1 910 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽49.80/M | ₽199/M | ₽1 992 |
| Gemini 3 Flash | gemini 3 flash | ₽41.50/M | ₽249/M | ₽2 075 |
| gemini 3.1 flash image preview c | gemini 3.1 flash image preview c | ₽41.50/M | ₽249/M | ₽2 075 |
| Gemini 3.1 Flash TTS | ₽83.00/M | ₽83.00/M | ₽2 075 | |
| gpt 5.4 | openai | ₽41.50/M | ₽249/M | ₽2 075 |
| GPT 5.4 High | gpt 5.4 high | ₽41.50/M | ₽249/M | ₽2 075 |
| gpt 5.4 openai compact | gpt 5.4 openai compact | ₽41.50/M | ₽249/M | ₽2 075 |
| Kimi K2.5 | kimi k2.5 | ₽45.48/M | ₽239/M | ₽2 103 |
| minimax m3 | minimax | ₽53.12/M | ₽212/M | ₽2 125 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽90.96/M | ₽90.96/M | ₽2 274 |
| Moonshot V1 32K | moonshot v1 32k | ₽56.85/M | ₽227/M | ₽2 274 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽56.85/M | ₽227/M | ₽2 274 |
| step 1 8k | step 1 8k | ₽56.85/M | ₽227/M | ₽2 274 |
| step 1v 8k | step 1v 8k | ₽56.85/M | ₽227/M | ₽2 274 |
| Claude Instant 1.2 | claude instant 1.2 | ₽66.40/M | ₽199/M | ₽2 324 |
| Qwen3-VL Plus | alibaba | ₽34.11/M | ₽341/M | ₽2 388 |
| hunyuan large longcontext | hunyuan large longcontext | ₽68.22/M | ₽205/M | ₽2 388 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽83.00/M | ₽166/M | ₽2 490 |
| Wan2.6 I2v | wan2.6 i2v | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Wan2.6 T2v | wan2.6 t2v | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Wan2.7 I2v | wan2.7 i2v | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Wan2.7 T2v | wan2.7 t2v | ₽99.60/M | ₽99.60/M | ₽2 490 |
| qwen3 coder flash | qwen | ₽56.85/M | ₽284/M | ₽2 558 |
| glm 5.1 | z ai | ₽71.05/M | ₽284/M | ₽2 842 |
| glm 4 airx | glm 4 airx | ₽114/M | ₽114/M | ₽2 842 |
| GLM 4 Vision Plus | glm 4v plus | ₽114/M | ₽114/M | ₽2 842 |
| mimo v2 pro | mimo v2 pro | ₽83.00/M | ₽249/M | ₽2 905 |
| wanx2.1 i2v plus | wanx2.1 i2v plus | ₽116/M | ₽116/M | ₽2 905 |
| wanx2.1 kf2v plus | wanx2.1 kf2v plus | ₽116/M | ₽116/M | ₽2 905 |
| wanx2.1 t2v plus | wanx2.1 t2v plus | ₽116/M | ₽116/M | ₽2 905 |
| gemini 2.0 flash thinking exp 1219 | gemini 2.0 flash thinking exp 1219 | ₽83.00/M | ₽332/M | ₽3 320 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽74.70/M | ₽373/M | ₽3 361 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽74.70/M | ₽373/M | ₽3 361 |
| O1 Mini | o1 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini low | o3 mini low | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini medium | o3 mini medium | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| glm 5.2 | z ai | ₽99.60/M | ₽349/M | ₽3 735 |
| SparkDesk Pro | SparkDesk Pro | ₽159/M | ₽159/M | ₽3 979 |
| Moonshot V1 128K | moonshot v1 128k | ₽114/M | ₽341/M | ₽3 979 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽114/M | ₽341/M | ₽3 979 |
| gemini 2.0 flash exp image | gemini 2.0 flash exp image | ₽99.60/M | ₽398/M | ₽3 984 |
| codex auto review | codex auto review | ₽83.00/M | ₽498/M | ₽4 150 |
| gemini 2.5 pro video | gemini 2.5 pro video | ₽104/M | ₽415/M | ₽4 150 |
| Gemini 3 Pro | gemini 3 pro | ₽83.00/M | ₽498/M | ₽4 150 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽83.00/M | ₽498/M | ₽4 150 |
| gemini 3.1 pro preview customtools | ₽83.00/M | ₽498/M | ₽4 150 | |
| gpt 5.5 | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.5 openai compact | gpt 5.5 openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 | gpt 5.6 | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol high | gpt 5.6 sol high | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol high openai compact | gpt 5.6 sol high openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol low | gpt 5.6 sol low | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol low openai compact | gpt 5.6 sol low openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol max | gpt 5.6 sol max | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol max openai compact | gpt 5.6 sol max openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol medium | gpt 5.6 sol medium | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol medium openai compact | gpt 5.6 sol medium openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol openai compact | gpt 5.6 sol openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol ultra | gpt 5.6 sol ultra | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol ultra openai compact | gpt 5.6 sol ultra openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol xhigh openai compact | gpt 5.6 sol xhigh openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| deepseek v4 pro | deepseek | ₽141/M | ₽282/M | ₽4 233 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽108/M | ₽432/M | ₽4 320 |
| KAT Coder | KAT Coder | ₽114/M | ₽455/M | ₽4 548 |
| Qvq 72B Preview | Qwen | ₽136/M | ₽409/M | ₽4 775 |
| Doubao Seed 2.0 Code Preview | bytedance | ₽109/M | ₽546/M | ₽4 911 |
| Doubao Seed 2.0 Pro | bytedance | ₽109/M | ₽546/M | ₽4 911 |
| qwen3.7 max | qwen | ₽141/M | ₽423/M | ₽4 938 |
| Codex Mini | codex mini | ₽124/M | ₽498/M | ₽4 980 |
| abab5.5 chat | abab5.5 chat | ₽166/M | ₽332/M | ₽4 980 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽90.96/M | ₽659/M | ₽5 116 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽90.96/M | ₽659/M | ₽5 116 |
| hunyuan vision | hunyuan vision | ₽205/M | ₽205/M | ₽5 116 |
| Claude Opus 4.5 | claude opus 4 5 | ₽124/M | ₽622/M | ₽5 602 |
| Claude Opus 4.6 | claude opus 4 6 | ₽124/M | ₽622/M | ₽5 602 |
| Claude Opus 4.7 | claude opus 4 7 | ₽124/M | ₽622/M | ₽5 602 |
| claude opus 4.8 | anthropic | ₽124/M | ₽622/M | ₽5 602 |
| claude opus 5 | anthropic | ₽124/M | ₽622/M | ₽5 602 |
| Grok 4 | grok 4 | ₽124/M | ₽622/M | ₽5 602 |
| qwen 2.5 72b instruct | qwen | ₽237/M | ₽237/M | ₽5 929 |
| qwen 2.5 coder 32b instruct | qwen | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 110b chat | qwen1.5 110b chat | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2 57B A14B Instruct | Qwen | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2 72B Instruct | Qwen | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2 7B Instruct | Qwen | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽237/M | ₽237/M | ₽5 929 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽830/M | ₽6 225 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5 chat | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 chat | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| hunyuan turbo | hunyuan turbo | ₽171/M | ₽568/M | ₽6 253 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽182/M | ₽546/M | ₽6 367 |
| qwen2.5 vl 72b instruct | qwen | ₽182/M | ₽546/M | ₽6 367 |
| gpt 3.5 turbo 16k | openai | ₽249/M | ₽332/M | ₽6 639 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| whisper 1 | openai | ₽332/M | ₽332/M | ₽6 640 |
| Qwen3 Max | qwen3 max | ₽171/M | ₽682/M | ₽6 822 |
| kimi k3 | moonshotai | ₽249/M | ₽415/M | ₽7 055 |
| GLM 4.5 X | glm 4.5 x | ₽182/M | ₽728/M | ₽7 277 |
| step 1 32k | step 1 32k | ₽171/M | ₽796/M | ₽7 390 |
| step 1o vision 32k | step 1o vision 32k | ₽171/M | ₽796/M | ₽7 390 |
| step 1v 32k | step 1v 32k | ₽171/M | ₽796/M | ₽7 390 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽296/M | ₽296/M | ₽7 390 |
| Grok 3 | grok 3 | ₽249/M | ₽498/M | ₽7 470 |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽227/M | ₽682/M | ₽7 959 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽227/M | ₽682/M | ₽7 959 |
| gemini 2.0 pro exp | gemini 2.0 pro exp | ₽207/M | ₽830/M | ₽8 300 |
| gemini 3 pro image preview c | gemini 3 pro image preview c | ₽166/M | ₽996/M | ₽8 300 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽207/M | ₽830/M | ₽8 300 |
| gpt image 1 mini | openai | ₽207/M | ₽830/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| gpt 5.2 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽249/M | ₽1 245/M | ₽11 205 |
| claude fable 5 | anthropic | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4 | claude sonnet 4 | ₽249/M | ₽1 245/M | ₽11 205 |
| claude sonnet 5 | anthropic | ₽249/M | ₽1 245/M | ₽11 205 |
| Sonnet 3 | claude 3 sonnet 20240229 | ₽249/M | ₽1 245/M | ₽11 205 |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽249/M | ₽1 245/M | ₽11 205 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽341/M | ₽1 023/M | ₽11 938 |
| hunyuan pro | hunyuan pro | ₽341/M | ₽1 137/M | ₽12 507 |
| GLM 4 Vision | glm 4v | ₽568/M | ₽568/M | ₽14 212 |
| GLM-4 Plus | glm 4 plus | ₽568/M | ₽568/M | ₽14 212 |
| Step 2 16K | step 2 16k | ₽432/M | ₽1 364/M | ₽15 463 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽455/M | ₽1 364/M | ₽15 917 |
| qwen3 coder plus | qwen | ₽227/M | ₽2 274/M | ₽15 917 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽415/M | ₽1 660/M | ₽16 600 |
| SparkDesk Max | SparkDesk Max | ₽682/M | ₽682/M | ₽17 054 |
| gpt image 1.5 | openai | ₽415/M | ₽2 656/M | ₽21 579 |
| hunyuan turbo vision | hunyuan turbo vision | ₽910/M | ₽910/M | ₽22 739 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽1 023/M | ₽1 023/M | ₽25 581 |
| step tts mini | step tts mini | ₽1 023/M | ₽1 023/M | ₽25 581 |
| GLM 4 | glm 4 | ₽1 137/M | ₽1 137/M | ₽28 424 |
| sambert v1 | sambert v1 | ₽1 137/M | ₽1 137/M | ₽28 424 |
| SenseVoiceSmall | SenseVoiceSmall | ₽1 137/M | ₽1 137/M | ₽28 424 |
| gpt 4 | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽830/M | ₽2 490/M | ₽29 049 |
| gpt 4 turbo | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| gpt 4 vision | gpt 4 vision | ₽830/M | ₽2 490/M | ₽29 049 |
| o3 deep research | openai | ₽830/M | ₽3 320/M | ₽33 199 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽1 592/M | ₽1 592/M | ₽39 793 |
| Text Davinci 002 | text davinci 002 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| gpt image 1 | openai | ₽830/M | ₽6 640/M | ₽49 799 |
| O1 | o1 | ₽1 245/M | ₽4 980/M | ₽49 799 |
| Claude 3 Opus | claude 3 opus | ₽1 245/M | ₽6 225/M | ₽56 023 |
| Claude Opus 4 | claude opus 4 | ₽1 245/M | ₽6 225/M | ₽56 023 |
| speech 01 turbo | speech 01 turbo | ₽2 274/M | ₽2 274/M | ₽56 848 |
| speech 02 turbo | speech 02 turbo | ₽2 274/M | ₽2 274/M | ₽56 848 |
| o3 pro | openai | ₽1 660/M | ₽6 640/M | ₽66 398 |
| Dall E 2 | dall e 2 | ₽3 320/M | ₽3 320/M | ₽82 998 |
| DALL E 3 | DALL E 3 | ₽3 320/M | ₽3 320/M | ₽82 998 |
| paraformer realtime v2 | paraformer realtime v2 | ₽3 979/M | ₽3 979/M | ₽99 484 |
| speech 01 hd | speech 01 hd | ₽3 979/M | ₽3 979/M | ₽99 484 |
| speech 02 hd | speech 02 hd | ₽3 979/M | ₽3 979/M | ₽99 484 |
| gpt 5.2 pro | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.4 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| gpt 5.5 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| Doubao tts | Doubao tts | ₽5 685/M | ₽5 685/M | ₽142 119 |
| GPT 4 32K | gpt 4 32k | ₽4 980/M | ₽9 960/M | ₽149 396 |
| grok build 0.1 | x ai | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen Flash Character | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen-MT Flash | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen-MT Lite | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen-Omni Turbo | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3 32b | qwen | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Wan 2.2 Animate Move | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| gpt 4.5 preview | gpt 4.5 preview | ₽6 225/M | ₽12 450/M | ₽186 745 |
| gemini 3.1 flash preview | gemini 3.1 flash preview | ₽6 225/M | ₽18 674/M | ₽217 869 |
| gemini 3.1 pro high | gemini 3.1 pro high | ₽6 225/M | ₽18 674/M | ₽217 869 |
| gemini 3.6 flash | ₽6 225/M | ₽18 674/M | ₽217 869 | |
| Gemini Pro | gemini pro | ₽6 225/M | ₽18 674/M | ₽217 869 |
| step 1 256k | step 1 256k | ₽10 801/M | ₽3 411/M | ₽233 076 |
| Gemini 2.5 Computer Use Preview 10-2025 | gemini 2.5 computer use preview 10 2025 | ₽6 225/M | ₽24 899/M | ₽248 993 |
| Gemini Flash Latest | gemini flash latest | ₽6 225/M | ₽24 899/M | ₽248 993 |
| gemini flash lite:free | gemini flash lite latest nothinking | ₽6 225/M | ₽24 899/M | ₽248 993 |
| gemini-1.5-flash-8b | ₽6 225/M | ₽24 899/M | ₽248 993 | |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽6 225/M | ₽49 799/M | ₽373 490 |
| o1 pro | openai | ₽12 450/M | ₽49 799/M | ₽497 986 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽6 225/M | ₽145 246/M | ₽850 726 |
| parse pdf | parse pdf | ₽227 391/M | ₽227 391/M | ₽5 684 774 |
Изображения
за изображение · 15
▼
Изображения
за изображение · 15
| Модель | Maker | Цена |
|---|---|---|
| gpt image 2 | gpt image 2 | ₽0.83/изобр. |
| gemini 2.5 flash image | ₽1.66/изобр. | |
| gpt 4o image | gpt 4o image | ₽1.66/изобр. |
| Z-Image Turbo | alibaba | ₽2.28/изобр. |
| Qwen Image 2.0 | alibaba | ₽2.37/изобр. |
| Qwen Image Edit Plus | alibaba | ₽2.37/изобр. |
| Wan 2.7 Image | alibaba | ₽2.37/изобр. |
| doubao seedream 5 0 260128 | doubao seedream 5 0 260128 | ₽2.49/изобр. |
| gemini 3.1 flash image | ₽2.49/изобр. | |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽2.90/изобр. |
| Qwen Image 2.0 Pro | alibaba | ₽5.93/изобр. |
| Qwen Image Edit Max | alibaba | ₽5.93/изобр. |
| Qwen Image Max | alibaba | ₽5.93/изобр. |
| Wan 2.7 Image Pro | alibaba | ₽5.93/изобр. |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽9.13/изобр. |
За запрос
фиксированная цена за вызов · 17
▼
За запрос
фиксированная цена за вызов · 17
| Модель | Maker | Цена |
|---|---|---|
| glm 4.5 flash | glm 4.5 flash | ₽0.0083/вызов |
| Tavily | tavily | ₽0.08/вызов |
| mita chat · fast-document | mita chat | ₽0.17/вызов |
| mita chat · fast-podcast | mita chat | ₽0.17/вызов |
| mita chat · fast-scholar | mita chat | ₽0.17/вызов |
| mita chat · fast-web | mita chat | ₽0.17/вызов |
| mita chat · fast-video-thinking | mita chat | ₽0.33/вызов |
| mita chat · ds-r1-document | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-podcast | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-scholar | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-video | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-web | mita chat | ₽1.66/вызов |
| qwen3.6 plus | qwen | ₽11.87/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽24.90/вызов |
| Veo 2.0 Generate 001 | veo 2.0 generate 001 | ₽41.50/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽49.80/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽266/вызов |
Текст и чат
оплата за токены · 416
▼
Текст и чат
оплата за токены · 416
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| glm 4.6v flash | glm 4.6v flash | ₽0.0083/M | ₽0.0083/M | ₽0 |
| codegeex 4 | codegeex 4 | ₽1.14/M | ₽1.14/M | ₽28 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽1.14/M | ₽1.14/M | ₽28 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽1.14/M | ₽1.14/M | ₽28 |
| GLM 4 Flash | glm 4 flash | ₽1.14/M | ₽1.14/M | ₽28 |
| glm 4 flashx | glm 4 flashx | ₽1.14/M | ₽1.14/M | ₽28 |
| GLM 4V Flash | GLM 4V Flash | ₽1.14/M | ₽1.14/M | ₽28 |
| glm z1 flash | glm z1 flash | ₽1.14/M | ₽1.14/M | ₽28 |
| hunyuan lite | hunyuan lite | ₽1.14/M | ₽1.14/M | ₽28 |
| Jina Embeddings V3 | jina embeddings v3 | ₽1.14/M | ₽1.14/M | ₽28 |
| text embedding 3 small | openai | ₽1.66/M | ₽1.66/M | ₽41 |
| jina clip v1 | jina clip v1 | ₽1.71/M | ₽1.71/M | ₽43 |
| jina colbert v1 en | jina colbert v1 en | ₽1.71/M | ₽1.71/M | ₽43 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽1.71/M | ₽1.71/M | ₽43 |
| Jina Reranker M0 | jina reranker m0 | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 base en | jina reranker v1 base en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽1.71/M | ₽1.71/M | ₽43 |
| tts 1 | openai | ₽2.49/M | ₽2.49/M | ₽62 |
| Tts 1 1106 | tts 1 1106 | ₽2.49/M | ₽2.49/M | ₽62 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽2.27/M | ₽4.55/M | ₽68 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽3.41/M | ₽6.82/M | ₽102 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽3.41/M | ₽6.82/M | ₽102 |
| ERNIE Character 8K | ERNIE Character 8K | ₽3.41/M | ₽6.82/M | ₽102 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽3.41/M | ₽6.82/M | ₽102 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽3.41/M | ₽6.82/M | ₽102 |
| Qwen Turbo | qwen turbo | ₽3.41/M | ₽6.82/M | ₽102 |
| tts 1 hd | openai | ₽4.98/M | ₽4.98/M | ₽124 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽4.98/M | ₽4.98/M | ₽124 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽3.32/M | ₽13.28/M | ₽133 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.41/M | ₽13.64/M | ₽136 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.41/M | ₽13.64/M | ₽136 |
| Qwen3 4B | qwen3 4b | ₽3.41/M | ₽13.64/M | ₽136 |
| Bce Reranker Base | bce reranker base | ₽5.68/M | ₽5.68/M | ₽142 |
| Bge Large En | bge large en | ₽5.68/M | ₽5.68/M | ₽142 |
| Bge Large Zh | bge large zh | ₽5.68/M | ₽5.68/M | ₽142 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽5.68/M | ₽5.68/M | ₽142 |
| Embedding 2 | embedding 2 | ₽5.68/M | ₽5.68/M | ₽142 |
| Embedding 3 | embedding 3 | ₽5.68/M | ₽5.68/M | ₽142 |
| Embedding V1 | embedding 001 | ₽5.68/M | ₽5.68/M | ₽142 |
| glm z1 air | glm z1 air | ₽5.68/M | ₽5.68/M | ₽142 |
| Qwen Text Embedding v3 | alibaba | ₽5.68/M | ₽5.68/M | ₽142 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽5.68/M | ₽5.68/M | ₽142 |
| qwen3-embedding-0.6b | qwen | ₽5.68/M | ₽5.68/M | ₽142 |
| Tao 8K | tao 8k | ₽5.68/M | ₽5.68/M | ₽142 |
| gpt 5.6 luna | openai | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna high | gpt 5.6 luna high | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna high openai compact | gpt 5.6 luna high openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna low | gpt 5.6 luna low | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna low openai compact | gpt 5.6 luna low openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna max | gpt 5.6 luna max | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna max openai compact | gpt 5.6 luna max openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna medium | gpt 5.6 luna medium | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna medium openai compact | gpt 5.6 luna medium openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna openai compact | gpt 5.6 luna openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna ultra | gpt 5.6 luna ultra | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna ultra openai compact | gpt 5.6 luna ultra openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna xhigh | gpt 5.6 luna xhigh | ₽3.32/M | ₽19.92/M | ₽166 |
| gpt 5.6 luna xhigh openai compact | gpt 5.6 luna xhigh openai compact | ₽3.32/M | ₽19.92/M | ₽166 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽7.96/M | ₽7.96/M | ₽199 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽7.96/M | ₽7.96/M | ₽199 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽7.96/M | ₽7.96/M | ₽199 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽7.96/M | ₽7.96/M | ₽199 |
| gte rerank | gte rerank | ₽7.96/M | ₽7.96/M | ₽199 |
| hunyuan embedding | hunyuan embedding | ₽7.96/M | ₽7.96/M | ₽199 |
| Sora 2 | Sora 2 | ₽8.30/M | ₽8.30/M | ₽207 |
| Text Embedding ADA | text embedding ada | ₽8.30/M | ₽8.30/M | ₽207 |
| Qwen Long | qwen long | ₽5.68/M | ₽22.74/M | ₽227 |
| qwen3 8b | qwen | ₽5.68/M | ₽22.74/M | ₽227 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| Bge Reranker V2 M3 | BAAI | ₽10.23/M | ₽10.23/M | ₽256 |
| text embedding 3 large | openai | ₽10.79/M | ₽10.79/M | ₽270 |
| Qwen-MT Turbo | alibaba | ₽7.96/M | ₽22.17/M | ₽270 |
| Yi Lightning | yi lightning | ₽11.26/M | ₽11.26/M | ₽281 |
| abab6.5s chat | abab6.5s chat | ₽11.37/M | ₽11.37/M | ₽284 |
| charglm 4 | charglm 4 | ₽11.37/M | ₽11.37/M | ₽284 |
| GLM 3 Turbo | glm 3 turbo | ₽11.37/M | ₽11.37/M | ₽284 |
| glm 4 air | glm 4 air | ₽11.37/M | ₽11.37/M | ₽284 |
| GLM 4 Long | GLM 4 Long | ₽11.37/M | ₽11.37/M | ₽284 |
| SparkDesk Lite | SparkDesk Lite | ₽11.37/M | ₽11.37/M | ₽284 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽9.10/M | ₽22.74/M | ₽296 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽9.10/M | ₽22.74/M | ₽296 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽9.10/M | ₽22.74/M | ₽296 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽9.10/M | ₽22.74/M | ₽296 |
| hunyuan standard | hunyuan standard | ₽9.10/M | ₽22.74/M | ₽296 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽9.10/M | ₽22.74/M | ₽296 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽8.30/M | ₽33.20/M | ₽332 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | ₽16.60/M | ₽1.66/M | ₽340 |
| step 2 mini | step 2 mini | ₽11.37/M | ₽22.74/M | ₽341 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽9.10/M | ₽36.38/M | ₽364 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽9.10/M | ₽36.38/M | ₽364 |
| Gemini Embedding 2 | gemini embedding 2 | ₽16.60/M | ₽16.60/M | ₽415 |
| KAT Coder Air V1 | KAT Coder Air V1 | ₽16.60/M | ₽16.60/M | ₽415 |
| KAT Coder Pro V1 | KAT Coder Pro V1 | ₽16.60/M | ₽16.60/M | ₽415 |
| Omni Moderation | omni moderation latest | ₽16.60/M | ₽16.60/M | ₽415 |
| Wan 2.2 I2V Flash | alibaba | ₽16.60/M | ₽16.60/M | ₽415 |
| Wan 2.2 KF2V Flash | alibaba | ₽16.60/M | ₽16.60/M | ₽415 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽11.12/M | ₽44.49/M | ₽445 |
| hunyuan t1 | hunyuan t1 | ₽11.37/M | ₽45.48/M | ₽455 |
| qwen3 14b | qwen | ₽11.37/M | ₽45.48/M | ₽455 |
| qwen3.5 plus | qwen3.5 plus | ₽9.10/M | ₽54.58/M | ₽455 |
| Doubao Seed 1.6 Flash | bytedance | ₽6.82/M | ₽68.22/M | ₽478 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽6.82/M | ₽68.22/M | ₽478 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽13.64/M | ₽40.93/M | ₽478 |
| Qwen3-VL Flash | alibaba | ₽6.82/M | ₽68.22/M | ₽478 |
| Gemini 1.5 Flash | gemini 1.5 flash | ₽12.45/M | ₽49.80/M | ₽498 |
| gemini 2.5 flash preview native audio dialog | gemini 2.5 flash preview native audio dialog | ₽12.45/M | ₽49.80/M | ₽498 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.45/M | ₽49.80/M | ₽498 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽49.80/M | ₽498 |
| DeepSeek-V3 | deepseek ai | ₽13.28/M | ₽53.12/M | ₽531 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Qwq 32b | qwen | ₽23.24/M | ₽23.24/M | ₽581 |
| Wan 2.2 I2V Plus | alibaba | ₽23.24/M | ₽23.24/M | ₽581 |
| Wan 2.2 T2V Plus | alibaba | ₽23.24/M | ₽23.24/M | ₽581 |
| Qwen-VL Plus | alibaba | ₽17.05/M | ₽54.57/M | ₽614 |
| gpt 5.4 mini | openai | ₽12.45/M | ₽74.70/M | ₽622 |
| Sora 2 Pro | sora 2 pro | ₽24.90/M | ₽24.90/M | ₽622 |
| DeepSeek 3.2 Speciale | deepseek v3.2 speciale | ₽22.74/M | ₽34.11/M | ₽625 |
| deepseek reasoner v3.2 | deepseek reasoner v3.2 | ₽22.74/M | ₽34.11/M | ₽625 |
| deepseek v3.2 | deepseek | ₽22.74/M | ₽34.11/M | ₽625 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽9.10/M | ₽90.96/M | ₽637 |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | ₽9.10/M | ₽90.97/M | ₽637 |
| Qwen Plus | qwen plus | ₽9.10/M | ₽90.97/M | ₽637 |
| DeepSeek R1 | deepseek r1 | ₽16.60/M | ₽66.40/M | ₽664 |
| MiniMax Text 01 | MiniMax Text 01 | ₽11.37/M | ₽90.96/M | ₽682 |
| qwen3 30b a3b | qwen | ₽17.05/M | ₽68.22/M | ₽682 |
| deepseek v4 flash | deepseek | ₽23.24/M | ₽46.48/M | ₽697 |
| Qwen-MT Plus | alibaba | ₽20.47/M | ₽61.40/M | ₽716 |
| glm 4.5 air | z ai | ₽13.64/M | ₽90.96/M | ₽728 |
| GLM 4.5 Airx | glm 4.5 airx | ₽13.64/M | ₽90.96/M | ₽728 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽22.74/M | ₽56.85/M | ₽739 |
| Grok 3 Mini | grok 3 mini | ₽24.90/M | ₽49.80/M | ₽747 |
| glm 4.6v | z ai | ₽22.74/M | ₽68.22/M | ₽796 |
| qwen coder turbo | qwen coder turbo | ₽22.74/M | ₽68.22/M | ₽796 |
| qwen math turbo | qwen math turbo | ₽22.74/M | ₽68.22/M | ₽796 |
| DeepSeek Chat (V3) | deepseek chat | ₽22.74/M | ₽90.96/M | ₽910 |
| Claude 3 Haiku | Anthropic | ₽20.75/M | ₽104/M | ₽934 |
| Claude 3.5 Haiku | Anthropic | ₽20.75/M | ₽104/M | ₽934 |
| minimax m2.1 | minimax | ₽23.87/M | ₽95.48/M | ₽955 |
| minimax m2.5 | minimax | ₽23.87/M | ₽95.48/M | ₽955 |
| minimax m2 | minimax | ₽23.88/M | ₽95.50/M | ₽955 |
| Qwen Flash | alibaba | ₽13.64/M | ₽136/M | ₽955 |
| wanx2.1 i2v turbo | wanx2.1 i2v turbo | ₽39.84/M | ₽39.84/M | ₽996 |
| wanx2.1 t2v turbo | wanx2.1 t2v turbo | ₽39.84/M | ₽39.84/M | ₽996 |
| Moonshot V1 8K | moonshot v1 8k | ₽22.74/M | ₽114/M | ₽1 023 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽22.74/M | ₽114/M | ₽1 023 |
| step 1o turbo vision | step 1o turbo vision | ₽28.42/M | ₽90.96/M | ₽1 023 |
| step r1 v mini | step r1 v mini | ₽28.42/M | ₽90.96/M | ₽1 023 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽20.47/M | ₽123/M | ₽1 023 |
| gemini 3.1 flash lite | ₽20.75/M | ₽124/M | ₽1 037 | |
| Qwen Max | qwen max | ₽27.29/M | ₽109/M | ₽1 092 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽24.90/M | ₽124/M | ₽1 120 |
| Kimi K2 | kimi k2 | ₽28.88/M | ₽116/M | ₽1 155 |
| grok 4.5 | x ai | ₽33.20/M | ₽99.60/M | ₽1 162 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽34.11/M | ₽102/M | ₽1 194 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽34.11/M | ₽102/M | ₽1 194 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽34.11/M | ₽102/M | ₽1 194 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽34.11/M | ₽102/M | ₽1 194 |
| Qwen-VL Max | alibaba | ₽34.11/M | ₽102/M | ₽1 194 |
| qwen coder plus | qwen coder plus | ₽39.79/M | ₽79.59/M | ₽1 194 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽83.00/M | ₽1 245 |
| Wan 2.5 I2V Preview | alibaba | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Wan 2.5 T2V Preview | alibaba | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Gemini 1.5 Pro | gemini 1.5 pro | ₽33.20/M | ₽133/M | ₽1 328 |
| Gemini 2.0 Flash Lite | ₽33.20/M | ₽133/M | ₽1 328 | |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| hunyuan code | hunyuan code | ₽45.48/M | ₽90.96/M | ₽1 364 |
| hunyuan functioncall | hunyuan functioncall | ₽45.48/M | ₽90.96/M | ₽1 364 |
| hunyuan role | hunyuan role | ₽45.48/M | ₽90.96/M | ₽1 364 |
| abab5.5s chat | abab5.5s chat | ₽56.85/M | ₽56.85/M | ₽1 421 |
| abab6.5g chat | abab6.5g chat | ₽56.85/M | ₽56.85/M | ₽1 421 |
| abab6.5t chat | abab6.5t chat | ₽56.85/M | ₽56.85/M | ₽1 421 |
| glm z1 airx | glm z1 airx | ₽56.85/M | ₽56.85/M | ₽1 421 |
| Qwen-VL OCR | alibaba | ₽56.85/M | ₽56.85/M | ₽1 421 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽23.88/M | ₽191/M | ₽1 433 |
| glm 4.7 | z ai | ₽34.86/M | ₽163/M | ₽1 510 |
| deepseek v3.1 terminus | deepseek | ₽45.48/M | ₽136/M | ₽1 592 |
| hunyuan large | hunyuan large | ₽45.48/M | ₽136/M | ₽1 592 |
| qwen math plus | qwen math plus | ₽45.48/M | ₽136/M | ₽1 592 |
| qwen3 235b a22b | qwen | ₽45.48/M | ₽136/M | ₽1 592 |
| deepseek v3.1 | deepseek v3.1 | ₽45.48/M | ₽136/M | ₽1 592 |
| gpt 5.6 terra | openai | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra high | gpt 5.6 terra high | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra high openai compact | gpt 5.6 terra high openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra low | gpt 5.6 terra low | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra low openai compact | gpt 5.6 terra low openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra max | gpt 5.6 terra max | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra max openai compact | gpt 5.6 terra max openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra medium | gpt 5.6 terra medium | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra medium openai compact | gpt 5.6 terra medium openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra openai compact | gpt 5.6 terra openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra ultra | gpt 5.6 terra ultra | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra ultra openai compact | gpt 5.6 terra ultra openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra xhigh | gpt 5.6 terra xhigh | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 terra xhigh openai compact | gpt 5.6 terra xhigh openai compact | ₽33.20/M | ₽199/M | ₽1 660 |
| gpt 5.6 sol xhigh | gpt 5.6 sol xhigh | ₽83.00/M | ₽8.30/M | ₽1 701 |
| yi vision v2 | yi vision v2 | ₽68.22/M | ₽68.22/M | ₽1 705 |
| gpt 5.2 | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.3 codex spark | gpt 5.3 codex spark | ₽29.05/M | ₽232/M | ₽1 743 |
| DeepSeek V3 | deepseek search | ₽44.82/M | ₽179/M | ₽1 793 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽45.48/M | ₽182/M | ₽1 819 |
| glm 4.5 | z ai | ₽45.48/M | ₽182/M | ₽1 819 |
| glm 4.6 | z ai | ₽45.48/M | ₽182/M | ₽1 819 |
| GLM-5 | glm 5 | ₽45.48/M | ₽182/M | ₽1 819 |
| gpt oss 120b | openai | ₽45.65/M | ₽183/M | ₽1 826 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽27.29/M | ₽273/M | ₽1 910 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽27.29/M | ₽273/M | ₽1 910 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽27.29/M | ₽273/M | ₽1 910 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽27.29/M | ₽273/M | ₽1 910 |
| minimax m1 | minimax | ₽27.29/M | ₽273/M | ₽1 910 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽47.76/M | ₽191/M | ₽1 910 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽49.80/M | ₽199/M | ₽1 992 |
| Gemini 3 Flash | gemini 3 flash | ₽41.50/M | ₽249/M | ₽2 075 |
| gemini 3.1 flash image preview c | gemini 3.1 flash image preview c | ₽41.50/M | ₽249/M | ₽2 075 |
| Gemini 3.1 Flash TTS | ₽83.00/M | ₽83.00/M | ₽2 075 | |
| gpt 5.4 | openai | ₽41.50/M | ₽249/M | ₽2 075 |
| GPT 5.4 High | gpt 5.4 high | ₽41.50/M | ₽249/M | ₽2 075 |
| gpt 5.4 openai compact | gpt 5.4 openai compact | ₽41.50/M | ₽249/M | ₽2 075 |
| Kimi K2.5 | kimi k2.5 | ₽45.48/M | ₽239/M | ₽2 103 |
| minimax m3 | minimax | ₽53.12/M | ₽212/M | ₽2 125 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽90.96/M | ₽90.96/M | ₽2 274 |
| Moonshot V1 32K | moonshot v1 32k | ₽56.85/M | ₽227/M | ₽2 274 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽56.85/M | ₽227/M | ₽2 274 |
| step 1 8k | step 1 8k | ₽56.85/M | ₽227/M | ₽2 274 |
| step 1v 8k | step 1v 8k | ₽56.85/M | ₽227/M | ₽2 274 |
| Claude Instant 1.2 | claude instant 1.2 | ₽66.40/M | ₽199/M | ₽2 324 |
| Qwen3-VL Plus | alibaba | ₽34.11/M | ₽341/M | ₽2 388 |
| hunyuan large longcontext | hunyuan large longcontext | ₽68.22/M | ₽205/M | ₽2 388 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽83.00/M | ₽166/M | ₽2 490 |
| Wan2.6 I2v | wan2.6 i2v | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Wan2.6 T2v | wan2.6 t2v | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Wan2.7 I2v | wan2.7 i2v | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Wan2.7 T2v | wan2.7 t2v | ₽99.60/M | ₽99.60/M | ₽2 490 |
| qwen3 coder flash | qwen | ₽56.85/M | ₽284/M | ₽2 558 |
| glm 5.1 | z ai | ₽71.05/M | ₽284/M | ₽2 842 |
| glm 4 airx | glm 4 airx | ₽114/M | ₽114/M | ₽2 842 |
| GLM 4 Vision Plus | glm 4v plus | ₽114/M | ₽114/M | ₽2 842 |
| mimo v2 pro | mimo v2 pro | ₽83.00/M | ₽249/M | ₽2 905 |
| wanx2.1 i2v plus | wanx2.1 i2v plus | ₽116/M | ₽116/M | ₽2 905 |
| wanx2.1 kf2v plus | wanx2.1 kf2v plus | ₽116/M | ₽116/M | ₽2 905 |
| wanx2.1 t2v plus | wanx2.1 t2v plus | ₽116/M | ₽116/M | ₽2 905 |
| gemini 2.0 flash thinking exp 1219 | gemini 2.0 flash thinking exp 1219 | ₽83.00/M | ₽332/M | ₽3 320 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽74.70/M | ₽373/M | ₽3 361 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽74.70/M | ₽373/M | ₽3 361 |
| O1 Mini | o1 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini low | o3 mini low | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini medium | o3 mini medium | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| glm 5.2 | z ai | ₽99.60/M | ₽349/M | ₽3 735 |
| SparkDesk Pro | SparkDesk Pro | ₽159/M | ₽159/M | ₽3 979 |
| Moonshot V1 128K | moonshot v1 128k | ₽114/M | ₽341/M | ₽3 979 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽114/M | ₽341/M | ₽3 979 |
| gemini 2.0 flash exp image | gemini 2.0 flash exp image | ₽99.60/M | ₽398/M | ₽3 984 |
| codex auto review | codex auto review | ₽83.00/M | ₽498/M | ₽4 150 |
| gemini 2.5 pro video | gemini 2.5 pro video | ₽104/M | ₽415/M | ₽4 150 |
| Gemini 3 Pro | gemini 3 pro | ₽83.00/M | ₽498/M | ₽4 150 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽83.00/M | ₽498/M | ₽4 150 |
| gemini 3.1 pro preview customtools | ₽83.00/M | ₽498/M | ₽4 150 | |
| gpt 5.5 | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.5 openai compact | gpt 5.5 openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 | gpt 5.6 | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol high | gpt 5.6 sol high | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol high openai compact | gpt 5.6 sol high openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol low | gpt 5.6 sol low | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol low openai compact | gpt 5.6 sol low openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol max | gpt 5.6 sol max | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol max openai compact | gpt 5.6 sol max openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol medium | gpt 5.6 sol medium | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol medium openai compact | gpt 5.6 sol medium openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol openai compact | gpt 5.6 sol openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol ultra | gpt 5.6 sol ultra | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol ultra openai compact | gpt 5.6 sol ultra openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 sol xhigh openai compact | gpt 5.6 sol xhigh openai compact | ₽83.00/M | ₽498/M | ₽4 150 |
| deepseek v4 pro | deepseek | ₽141/M | ₽282/M | ₽4 233 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽108/M | ₽432/M | ₽4 320 |
| KAT Coder | KAT Coder | ₽114/M | ₽455/M | ₽4 548 |
| Qvq 72B Preview | Qwen | ₽136/M | ₽409/M | ₽4 775 |
| Doubao Seed 2.0 Code Preview | bytedance | ₽109/M | ₽546/M | ₽4 911 |
| Doubao Seed 2.0 Pro | bytedance | ₽109/M | ₽546/M | ₽4 911 |
| qwen3.7 max | qwen | ₽141/M | ₽423/M | ₽4 938 |
| Codex Mini | codex mini | ₽124/M | ₽498/M | ₽4 980 |
| abab5.5 chat | abab5.5 chat | ₽166/M | ₽332/M | ₽4 980 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽90.96/M | ₽659/M | ₽5 116 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽90.96/M | ₽659/M | ₽5 116 |
| hunyuan vision | hunyuan vision | ₽205/M | ₽205/M | ₽5 116 |
| Claude Opus 4.5 | claude opus 4 5 | ₽124/M | ₽622/M | ₽5 602 |
| Claude Opus 4.6 | claude opus 4 6 | ₽124/M | ₽622/M | ₽5 602 |
| Claude Opus 4.7 | claude opus 4 7 | ₽124/M | ₽622/M | ₽5 602 |
| claude opus 4.8 | anthropic | ₽124/M | ₽622/M | ₽5 602 |
| claude opus 5 | anthropic | ₽124/M | ₽622/M | ₽5 602 |
| Grok 4 | grok 4 | ₽124/M | ₽622/M | ₽5 602 |
| qwen 2.5 72b instruct | qwen | ₽237/M | ₽237/M | ₽5 929 |
| qwen 2.5 coder 32b instruct | qwen | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 110b chat | qwen1.5 110b chat | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽237/M | ₽237/M | ₽5 929 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2 57B A14B Instruct | Qwen | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2 72B Instruct | Qwen | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2 7B Instruct | Qwen | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽237/M | ₽237/M | ₽5 929 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽237/M | ₽237/M | ₽5 929 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽830/M | ₽6 225 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5 chat | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 chat | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| hunyuan turbo | hunyuan turbo | ₽171/M | ₽568/M | ₽6 253 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽182/M | ₽546/M | ₽6 367 |
| qwen2.5 vl 72b instruct | qwen | ₽182/M | ₽546/M | ₽6 367 |
| gpt 3.5 turbo 16k | openai | ₽249/M | ₽332/M | ₽6 639 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| whisper 1 | openai | ₽332/M | ₽332/M | ₽6 640 |
| Qwen3 Max | qwen3 max | ₽171/M | ₽682/M | ₽6 822 |
| kimi k3 | moonshotai | ₽249/M | ₽415/M | ₽7 055 |
| GLM 4.5 X | glm 4.5 x | ₽182/M | ₽728/M | ₽7 277 |
| step 1 32k | step 1 32k | ₽171/M | ₽796/M | ₽7 390 |
| step 1o vision 32k | step 1o vision 32k | ₽171/M | ₽796/M | ₽7 390 |
| step 1v 32k | step 1v 32k | ₽171/M | ₽796/M | ₽7 390 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽296/M | ₽296/M | ₽7 390 |
| Grok 3 | grok 3 | ₽249/M | ₽498/M | ₽7 470 |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽227/M | ₽682/M | ₽7 959 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽227/M | ₽682/M | ₽7 959 |
| gemini 2.0 pro exp | gemini 2.0 pro exp | ₽207/M | ₽830/M | ₽8 300 |
| gemini 3 pro image preview c | gemini 3 pro image preview c | ₽166/M | ₽996/M | ₽8 300 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽207/M | ₽830/M | ₽8 300 |
| gpt image 1 mini | openai | ₽207/M | ₽830/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| gpt 5.2 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽249/M | ₽1 245/M | ₽11 205 |
| claude fable 5 | anthropic | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4 | claude sonnet 4 | ₽249/M | ₽1 245/M | ₽11 205 |
| claude sonnet 5 | anthropic | ₽249/M | ₽1 245/M | ₽11 205 |
| Sonnet 3 | claude 3 sonnet 20240229 | ₽249/M | ₽1 245/M | ₽11 205 |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽249/M | ₽1 245/M | ₽11 205 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽341/M | ₽1 023/M | ₽11 938 |
| hunyuan pro | hunyuan pro | ₽341/M | ₽1 137/M | ₽12 507 |
| GLM 4 Vision | glm 4v | ₽568/M | ₽568/M | ₽14 212 |
| GLM-4 Plus | glm 4 plus | ₽568/M | ₽568/M | ₽14 212 |
| Step 2 16K | step 2 16k | ₽432/M | ₽1 364/M | ₽15 463 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽455/M | ₽1 364/M | ₽15 917 |
| qwen3 coder plus | qwen | ₽227/M | ₽2 274/M | ₽15 917 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽415/M | ₽1 660/M | ₽16 600 |
| SparkDesk Max | SparkDesk Max | ₽682/M | ₽682/M | ₽17 054 |
| gpt image 1.5 | openai | ₽415/M | ₽2 656/M | ₽21 579 |
| hunyuan turbo vision | hunyuan turbo vision | ₽910/M | ₽910/M | ₽22 739 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽1 023/M | ₽1 023/M | ₽25 581 |
| step tts mini | step tts mini | ₽1 023/M | ₽1 023/M | ₽25 581 |
| GLM 4 | glm 4 | ₽1 137/M | ₽1 137/M | ₽28 424 |
| sambert v1 | sambert v1 | ₽1 137/M | ₽1 137/M | ₽28 424 |
| SenseVoiceSmall | SenseVoiceSmall | ₽1 137/M | ₽1 137/M | ₽28 424 |
| gpt 4 | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽830/M | ₽2 490/M | ₽29 049 |
| gpt 4 turbo | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| gpt 4 vision | gpt 4 vision | ₽830/M | ₽2 490/M | ₽29 049 |
| o3 deep research | openai | ₽830/M | ₽3 320/M | ₽33 199 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽1 592/M | ₽1 592/M | ₽39 793 |
| Text Davinci 002 | text davinci 002 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| gpt image 1 | openai | ₽830/M | ₽6 640/M | ₽49 799 |
| O1 | o1 | ₽1 245/M | ₽4 980/M | ₽49 799 |
| Claude 3 Opus | claude 3 opus | ₽1 245/M | ₽6 225/M | ₽56 023 |
| Claude Opus 4 | claude opus 4 | ₽1 245/M | ₽6 225/M | ₽56 023 |
| speech 01 turbo | speech 01 turbo | ₽2 274/M | ₽2 274/M | ₽56 848 |
| speech 02 turbo | speech 02 turbo | ₽2 274/M | ₽2 274/M | ₽56 848 |
| o3 pro | openai | ₽1 660/M | ₽6 640/M | ₽66 398 |
| Dall E 2 | dall e 2 | ₽3 320/M | ₽3 320/M | ₽82 998 |
| DALL E 3 | DALL E 3 | ₽3 320/M | ₽3 320/M | ₽82 998 |
| paraformer realtime v2 | paraformer realtime v2 | ₽3 979/M | ₽3 979/M | ₽99 484 |
| speech 01 hd | speech 01 hd | ₽3 979/M | ₽3 979/M | ₽99 484 |
| speech 02 hd | speech 02 hd | ₽3 979/M | ₽3 979/M | ₽99 484 |
| gpt 5.2 pro | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.4 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| gpt 5.5 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| Doubao tts | Doubao tts | ₽5 685/M | ₽5 685/M | ₽142 119 |
| GPT 4 32K | gpt 4 32k | ₽4 980/M | ₽9 960/M | ₽149 396 |
| grok build 0.1 | x ai | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen Flash Character | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen-MT Flash | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen-MT Lite | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen-Omni Turbo | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3 32b | qwen | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Wan 2.2 Animate Move | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| gpt 4.5 preview | gpt 4.5 preview | ₽6 225/M | ₽12 450/M | ₽186 745 |
| gemini 3.1 flash preview | gemini 3.1 flash preview | ₽6 225/M | ₽18 674/M | ₽217 869 |
| gemini 3.1 pro high | gemini 3.1 pro high | ₽6 225/M | ₽18 674/M | ₽217 869 |
| gemini 3.6 flash | ₽6 225/M | ₽18 674/M | ₽217 869 | |
| Gemini Pro | gemini pro | ₽6 225/M | ₽18 674/M | ₽217 869 |
| step 1 256k | step 1 256k | ₽10 801/M | ₽3 411/M | ₽233 076 |
| Gemini 2.5 Computer Use Preview 10-2025 | gemini 2.5 computer use preview 10 2025 | ₽6 225/M | ₽24 899/M | ₽248 993 |
| Gemini Flash Latest | gemini flash latest | ₽6 225/M | ₽24 899/M | ₽248 993 |
| gemini flash lite:free | gemini flash lite latest nothinking | ₽6 225/M | ₽24 899/M | ₽248 993 |
| gemini-1.5-flash-8b | ₽6 225/M | ₽24 899/M | ₽248 993 | |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽6 225/M | ₽49 799/M | ₽373 490 |
| o1 pro | openai | ₽12 450/M | ₽49 799/M | ₽497 986 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽6 225/M | ₽145 246/M | ₽850 726 |
| parse pdf | parse pdf | ₽227 391/M | ₽227 391/M | ₽5 684 774 |
Изображения
за изображение · 15
▼
Изображения
за изображение · 15
| Модель | Maker | Цена |
|---|---|---|
| gpt image 2 | gpt image 2 | ₽0.83/изобр. |
| gemini 2.5 flash image | ₽1.66/изобр. | |
| gpt 4o image | gpt 4o image | ₽1.66/изобр. |
| Z-Image Turbo | alibaba | ₽2.28/изобр. |
| Qwen Image 2.0 | alibaba | ₽2.37/изобр. |
| Qwen Image Edit Plus | alibaba | ₽2.37/изобр. |
| Wan 2.7 Image | alibaba | ₽2.37/изобр. |
| doubao seedream 5 0 260128 | doubao seedream 5 0 260128 | ₽2.49/изобр. |
| gemini 3.1 flash image | ₽2.49/изобр. | |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽2.90/изобр. |
| Qwen Image 2.0 Pro | alibaba | ₽5.93/изобр. |
| Qwen Image Edit Max | alibaba | ₽5.93/изобр. |
| Qwen Image Max | alibaba | ₽5.93/изобр. |
| Wan 2.7 Image Pro | alibaba | ₽5.93/изобр. |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽9.13/изобр. |
За запрос
фиксированная цена за вызов · 17
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За запрос
фиксированная цена за вызов · 17
| Модель | Maker | Цена |
|---|---|---|
| glm 4.5 flash | glm 4.5 flash | ₽0.0083/вызов |
| Tavily | tavily | ₽0.08/вызов |
| mita chat · fast-document | mita chat | ₽0.17/вызов |
| mita chat · fast-podcast | mita chat | ₽0.17/вызов |
| mita chat · fast-scholar | mita chat | ₽0.17/вызов |
| mita chat · fast-web | mita chat | ₽0.17/вызов |
| mita chat · fast-video-thinking | mita chat | ₽0.33/вызов |
| mita chat · ds-r1-document | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-podcast | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-scholar | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-video | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-web | mita chat | ₽1.66/вызов |
| qwen3.6 plus | qwen | ₽11.87/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽24.90/вызов |
| Veo 2.0 Generate 001 | veo 2.0 generate 001 | ₽41.50/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽49.80/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽266/вызов |
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 list-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 449 моделей AI API. Средняя цена — ₽1 497/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.0083/M (glm 4.6v flash).
Сравните цены на glm 4.5 flash , Tavily , mita chat · fast-document , mita chat · fast-podcast и mita chat · fast-scholar у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.