AiHubMix
Сайт ↗784 модели: GPT, Claude, Gemini и CN-LLM через один API
- Моделей
- 715
- Средняя цена
- ₽273/M
- Регион
- Зарубежный · сайт на китайский и английский
- Оплата
- USD (доллары)
- Биллинг
- за токены
- API
- OpenAI-compatible
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
715 моделей
Текст и чат
оплата за токены · 688
▼
Текст и чат
оплата за токены · 688
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Llama3 Groq 8B 8192 Tool Use Preview | llama3 groq 8b 8192 tool use preview | ₽0.02/M | ₽0.02/M | ₽0 |
| Llama3 Groq 70B 8192 Tool Use Preview | llama3 groq 70b 8192 tool use preview | ₽0.07/M | ₽0.07/M | ₽2 |
| Mistral 7B Instruct (free) | Mistral | ₽0.17/M | ₽0.17/M | ₽4 |
| DeepSeek R1 Distill Llama 8B | DeepSeek | ₽0.83/M | ₽0.83/M | ₽21 |
| DeepSeek R1 Distill Qwen 1.5b | DeepSeek | ₽0.83/M | ₽0.83/M | ₽21 |
| DeepSeek R1 Distill Qwen 7B | DeepSeek | ₽0.83/M | ₽0.83/M | ₽21 |
| deepseek ocr | DeepSeek | ₽1.66/M | ₽1.66/M | ₽42 |
| DeepSeek R1t Chimera | DeepSeek | ₽1.66/M | ₽1.66/M | ₽42 |
| gemini embedding exp | ₽1.66/M | ₽1.66/M | ₽42 | |
| Llama 3.1 405B | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| llama 3.1 70b | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| llama 3.1 8b | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| llama 3.2 11b vision:free | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| Llama 3.2 3B | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| Omni Moderation | omni moderation latest | ₽1.66/M | ₽1.66/M | ₽42 |
| Qwen Text Embedding v3 | Qwen | ₽1.66/M | ₽1.66/M | ₽42 |
| text embedding 3 small | OpenAI | ₽1.66/M | ₽1.66/M | ₽42 |
| ERNIE 4.5 0.3b | ernie 4.5 0.3b | ₽1.13/M | ₽4.53/M | ₽45 |
| Coding GLM 4.5 Air | coding glm 4.5 air | ₽1.17/M | ₽6.99/M | ₽58 |
| GLM Ocr | glm ocr | ₽2.35/M | ₽2.35/M | ₽59 |
| Bge Large Zh V1.5 | BAAI | ₽2.83/M | ₽2.83/M | ₽71 |
| bge-large-en-v1.5 | baai | ₽2.83/M | ₽2.83/M | ₽71 |
| Jev 1.13 | jev 1.13 | ₽3.85/M | ₽3.85/M | ₽77 |
| Jev 1.13 | jev | ₽3.85/M | ₽3.85/M | ₽77 |
| Deepinfra Llama 3.1 8B Instant | deepinfra llama 3.1 8b instant | ₽2.75/M | ₽4.58/M | ₽78 |
| Jina Embeddings V5 Text Nano | jina embeddings v5 text nano | ₽4.16/M | ₽4.16/M | ₽83 |
| Jina Embeddings V5 Text Small | jina embeddings v5 text small | ₽4.16/M | ₽4.16/M | ₽83 |
| Coding GLM 5.3 Flash | coding glm 5.3 flash | ₽2.35/M | ₽8.21/M | ₽88 |
| qwen3.7 flash | Qwen | ₽2.35/M | ₽9.39/M | ₽94 |
| GLM 4 9B 0414 | THUDM | ₽4.16/M | ₽4.16/M | ₽104 |
| GLM Z1 9B 0414 | THUDM | ₽4.16/M | ₽4.16/M | ₽104 |
| jina clip v1 | jina clip v1 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Colbert V2 | jina colbert v2 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Embeddings V3 | jina embeddings v3 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Reader | jina reader | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Reranker M0 | jina reranker m0 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Reranker V3 | jina reranker v3 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Reranker V3.5 | jina reranker v3.5 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Search | jina search | ₽4.16/M | ₽4.16/M | ₽104 |
| Agnes 2.5 Flash | agnes 2.5 flash | ₽2.50/M | ₽12.49/M | ₽112 |
| Agnes 3.0 Flash | agnes 3.0 flash | ₽2.50/M | ₽12.49/M | ₽112 |
| Bce Reranker Base | bce reranker base | ₽5.66/M | ₽5.66/M | ₽113 |
| Cohere Rerank V4.0 Fast | cohere rerank v4.0 fast | ₽5.66/M | ₽5.66/M | ₽113 |
| Cohere Rerank V4.0 Pro | cohere rerank v4.0 pro | ₽5.66/M | ₽5.66/M | ₽113 |
| Embedding V1 | embedding 001 | ₽5.66/M | ₽5.66/M | ₽113 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽5.66/M | ₽5.66/M | ₽113 |
| qwen3-embedding-0.6b | Qwen | ₽5.66/M | ₽5.66/M | ₽113 |
| Qwen Turbo | Qwen | ₽3.83/M | ₽7.66/M | ₽115 |
| Qwen Flash | Qwen | ₽1.66/M | ₽16.65/M | ₽117 |
| Qwen3-VL Flash | alibaba | ₽1.71/M | ₽17.15/M | ₽120 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽4.16/M | ₽8.32/M | ₽125 |
| Groq Llama 3.1 8B Instant | groq llama 3.1 8b instant | ₽4.58/M | ₽7.33/M | ₽128 |
| Pro · THUDM · GLM-4.1V-9B-Thinking | Pro | ₽3.33/M | ₽13.32/M | ₽133 |
| Bge Large En | bge large en | ₽5.66/M | ₽5.66/M | ₽142 |
| Bge Large Zh | bge large zh | ₽5.66/M | ₽5.66/M | ₽142 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽5.66/M | ₽5.66/M | ₽142 |
| Tao 8K | tao 8k | ₽5.66/M | ₽5.66/M | ₽142 |
| Embedding 2 | embedding 2 | ₽5.71/M | ₽5.71/M | ₽143 |
| Embedding 3 | embedding 3 | ₽5.71/M | ₽5.71/M | ₽143 |
| Nvidia Nemotron Nano 9B V2 | nvidia nemotron nano 9b v2 | ₽3.66/M | ₽14.65/M | ₽147 |
| Doubao Lite 32K | Doubao lite 32k | ₽4.99/M | ₽9.99/M | ₽150 |
| Doubao Lite 4K | Doubao lite 4k | ₽4.99/M | ₽9.99/M | ₽150 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽4.99/M | ₽9.99/M | ₽150 |
| Doubao Seed 2.0 Mini 260428 | doubao seed 2 0 mini 260428 | ₽2.35/M | ₽23.48/M | ₽164 |
| Qwen3.5 Flash | alibaba | ₽2.35/M | ₽23.48/M | ₽164 |
| GLM 4 32B 0414 | THUDM | ₽6.66/M | ₽6.66/M | ₽166 |
| GLM Z1 32B 0414 | THUDM | ₽6.66/M | ₽6.66/M | ₽166 |
| Qwen2 7B Instruct | Qwen | ₽6.66/M | ₽6.66/M | ₽166 |
| Ling 3.0 Flash | ling 3.0 flash | ₽4.99/M | ₽14.98/M | ₽175 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽2.51/M | ₽25.09/M | ₽176 |
| CC GLM 4.6 | cc glm 4.6 | ₽4.99/M | ₽18.31/M | ₽191 |
| CC GLM 4.7 | cc glm 4.7 | ₽4.99/M | ₽18.31/M | ₽191 |
| CC GLM 5 | cc glm 5 | ₽4.99/M | ₽18.31/M | ₽191 |
| CC GLM 5 Turbo | cc glm 5 turbo | ₽4.99/M | ₽18.31/M | ₽191 |
| CC GLM 5.1 | cc glm 5.1 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 4.6 | coding glm 4.6 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 4.7 | coding glm 4.7 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5 | coding glm 5 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5 Turbo | coding glm 5 turbo | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5.1 | coding glm 5.1 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5.2 | coding glm 5.2 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5.3 | coding glm 5.3 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding Xiaomi Mimo V2.5 | coding xiaomi mimo v2.5 | ₽6.66/M | ₽13.32/M | ₽200 |
| Coding Xiaomi Mimo V2.6 Flash | coding xiaomi mimo v2.6 flash | ₽6.66/M | ₽13.32/M | ₽200 |
| Embed V 4.0 | embed v 4 0 | ₽9.99/M | ₽9.99/M | ₽200 |
| Qianfan Ocr | qianfan ocr | ₽5.16/M | ₽20.64/M | ₽206 |
| CC MiniMax M2 | cc minimax m2 | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.1 | cc minimax m2.1 | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.5 | cc minimax m2.5 | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.5 Highspeed | cc minimax m2.5 highspeed | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.7 | cc minimax m2.7 | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.7 Highspeed | cc minimax m2.7 highspeed | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M3 | cc minimax m3 | ₽8.32/M | ₽8.32/M | ₽208 |
| DeepSeek Prover V2 671B | DeepSeek | ₽8.32/M | ₽8.32/M | ₽208 |
| DeepSeek R1 Distill Qwen 14B | DeepSeek | ₽8.32/M | ₽8.32/M | ₽208 |
| Doubao Embedding Large Text 240915 | doubao embedding large text 240915 | ₽8.32/M | ₽8.32/M | ₽208 |
| Gemma 7B It | gemma 7b it | ₽8.32/M | ₽8.32/M | ₽208 |
| GLM 4 Flash | glm 4 flash | ₽8.32/M | ₽8.32/M | ₽208 |
| GLM 4.1 Vision 9B Thinking | THUDM | ₽8.32/M | ₽8.32/M | ₽208 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽8.32/M | ₽8.32/M | ₽208 |
| Mm Minimax M2.7 Highspeed | mm minimax m2.7 highspeed | ₽8.32/M | ₽8.32/M | ₽208 |
| Text Embedding ADA | text embedding ada | ₽8.32/M | ₽8.32/M | ₽208 |
| Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 | deepinfra nvidia nemotron 3 nano 30b a3b2 | ₽5.49/M | ₽21.98/M | ₽220 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽5.49/M | ₽21.98/M | ₽220 |
| ERNIE 4.5 | ernie 4.5 | ₽5.66/M | ₽22.64/M | ₽226 |
| Ling Mini 2.0 | inclusionAI | ₽5.66/M | ₽22.64/M | ₽226 |
| gte rerank | gte rerank | ₽9.16/M | ₽9.16/M | ₽229 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽9.16/M | ₽9.16/M | ₽229 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽9.16/M | ₽9.16/M | ₽229 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽9.16/M | ₽9.16/M | ₽229 |
| Aihubmix Phi 4 Mini (reasoning) | AiHubmix Phi 4 mini reasoning | ₽9.99/M | ₽9.99/M | ₽250 |
| GPT-5 Nano | OpenAI | ₽4.16/M | ₽33.30/M | ₽250 |
| Laguna S 2.1 | laguna s 2.1 | ₽8.32/M | ₽16.65/M | ₽250 |
| Laguna Xs 2.1 | laguna xs 2.1 | ₽8.32/M | ₽16.65/M | ₽250 |
| Doubao Seed 1.6 Flash | doubao seed 1 6 flash | ₽3.66/M | ₽36.63/M | ₽256 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽3.66/M | ₽36.63/M | ₽256 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.83/M | ₽38.29/M | ₽268 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.83/M | ₽38.29/M | ₽268 |
| Qwen3 4B | qwen3 4b | ₽3.83/M | ₽38.29/M | ₽268 |
| text embedding 3 large | OpenAI | ₽10.82/M | ₽10.82/M | ₽271 |
| Qwen3.5-35B-A3B | Qwen | ₽4.70/M | ₽37.56/M | ₽282 |
| Deepinfra Llama 4 Scout 17B 16e Instruct | deepinfra llama 4 scout 17b 16e instruct | ₽7.33/M | ₽27.47/M | ₽284 |
| Gme Qwen2 VL 2B Instruct | gme qwen2 vl 2b instruct | ₽11.49/M | ₽11.49/M | ₽287 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽8.99/M | ₽22.48/M | ₽292 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽9.12/M | ₽22.81/M | ₽296 |
| Coding Xiaomi Mimo V2 Omni | coding xiaomi mimo v2 omni | ₽6.66/M | ₽33.30/M | ₽300 |
| Deepinfra Gemma 4 26B A4B It | deepinfra gemma 4 26b a4b it | ₽7.33/M | ₽32.05/M | ₽307 |
| Step 3.5 Flash | StepFun | ₽9.16/M | ₽27.47/M | ₽320 |
| Deepinfra Llama 3.3 70B Instant Turbo | deepinfra llama 3.3 70b instant turbo | ₽9.16/M | ₽29.30/M | ₽330 |
| DeepSeek Llm 67B Chat | DeepSeek | ₽13.32/M | ₽13.32/M | ₽333 |
| DeepSeek Vl2 | DeepSeek | ₽13.32/M | ₽13.32/M | ₽333 |
| gemini 2.5 flash lite | ₽8.32/M | ₽33.30/M | ₽333 | |
| Gemini Embedding 2 | ₽16.65/M | ₽16.65/M | ₽333 | |
| Gpt 4.1 Nano | OpenAI | ₽8.32/M | ₽33.30/M | ₽333 |
| Qwen Long | Qwen | ₽8.32/M | ₽33.30/M | ₽333 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽13.32/M | ₽13.32/M | ₽333 |
| Qwq 32b | Qwen | ₽13.32/M | ₽13.32/M | ₽333 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽8.56/M | ₽34.23/M | ₽342 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽8.56/M | ₽34.23/M | ₽342 |
| qwen3.8 flash | Qwen | ₽9.37/M | ₽31.64/M | ₽346 |
| Qwen3.8 Omni Flash | Qwen | ₽9.37/M | ₽31.64/M | ₽346 |
| Doubao Lite 128K | Doubao lite 128k | ₽11.65/M | ₽23.31/M | ₽350 |
| Glm 5.3 Flash | glm 5.3 flash | ₽9.38/M | ₽32.83/M | ₽352 |
| deepseek v4 flash | DeepSeek | ₽11.82/M | ₽23.64/M | ₽355 |
| Groq Llama 4 Scout 17B 16e Instruct | groq llama 4 scout 17b 16e instruct | ₽10.16/M | ₽30.47/M | ₽355 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽8.99/M | ₽35.96/M | ₽360 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽11.15/M | ₽27.89/M | ₽363 |
| ERNIE 4.5 Turbo | ERNIE 4.5 Turbo | ₽9.16/M | ₽36.63/M | ₽366 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽9.16/M | ₽36.63/M | ₽366 |
| Gpt 6 Luna | OpenAI | ₽8.32/M | ₽41.62/M | ₽375 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽7.53/M | ₽45.16/M | ₽376 |
| Doubao Seed 2.0 Lite 260428 | doubao seed 2 0 lite 260428 | ₽7.53/M | ₽45.16/M | ₽376 |
| Doubao Pro 32K | Doubao pro 32k | ₽11.65/M | ₽29.14/M | ₽379 |
| Doubao Pro 4K | Doubao pro 4k | ₽11.65/M | ₽29.14/M | ₽379 |
| MiMo-V2.5 | Xiaomi | ₽12.90/M | ₽25.81/M | ₽387 |
| MiMo-V2.6-Flash | Xiaomi | ₽12.90/M | ₽25.81/M | ₽387 |
| glm 4.6v | Z.ai | ₽11.40/M | ₽34.21/M | ₽399 |
| gemma 4 26b a4b it | ₽11.65/M | ₽33.30/M | ₽400 | |
| gemma 4 31b it | ₽11.65/M | ₽33.30/M | ₽400 | |
| Aihub Phi 4 | aihub Phi 4 | ₽9.99/M | ₽39.96/M | ₽400 |
| Aihub Phi 4 Mini Instruct | aihub Phi 4 mini instruct | ₽9.99/M | ₽39.96/M | ₽400 |
| Aihub Phi 4 Multimodal Instruct | aihub Phi 4 multimodal instruct | ₽9.99/M | ₽39.96/M | ₽400 |
| DeepSeek Coder V2 Instruct | DeepSeek | ₽13.32/M | ₽26.64/M | ₽400 |
| DeepSeek V2 Chat | DeepSeek | ₽13.32/M | ₽26.64/M | ₽400 |
| DeepSeek V2.5 | DeepSeek | ₽13.32/M | ₽26.64/M | ₽400 |
| Doubao Seed 1.6 Lite | doubao seed 1 6 lite | ₽6.83/M | ₽54.61/M | ₽410 |
| gpt oss 20b | OpenAI | ₽9.16/M | ₽45.78/M | ₽412 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽9.16/M | ₽45.78/M | ₽412 |
| CC Doubao Seed Code Preview | cc doubao seed code preview latest | ₽16.65/M | ₽16.65/M | ₽416 |
| CC K2.6 Code Preview | cc k2.6 code preview | ₽16.65/M | ₽16.65/M | ₽416 |
| CC Kimi For Coding | cc kimi for coding | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2 | coding minimax m2 | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.1 | coding minimax m2.1 | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.5 | coding minimax m2.5 | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.5 Highspeed | coding minimax m2.5 highspeed | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.7 | coding minimax m2.7 | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.7 Highspeed | coding minimax m2.7 highspeed | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M3 | coding minimax m3 | ₽16.65/M | ₽16.65/M | ₽416 |
| DeepSeek R1 Distill Qwen 32B | DeepSeek | ₽16.65/M | ₽16.65/M | ₽416 |
| Doubao-Seed-Code | ByteDance | ₽16.65/M | ₽16.65/M | ₽416 |
| gemma 3 12b it | ₽16.65/M | ₽16.65/M | ₽416 | |
| Gemma 3 1B It | gemma 3 1b it | ₽16.65/M | ₽16.65/M | ₽416 |
| gemma 3 27b it | ₽16.65/M | ₽16.65/M | ₽416 | |
| Gemma 3 4B | ₽16.65/M | ₽16.65/M | ₽416 | |
| Gemma 3n E4B It | gemma 3n e4b it | ₽16.65/M | ₽16.65/M | ₽416 |
| Google Gemma 3 12B It | google gemma 3 12b it | ₽16.65/M | ₽16.65/M | ₽416 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽16.65/M | ₽16.65/M | ₽416 |
| Google Gemma 3 4B It | google gemma 3 4b it | ₽16.65/M | ₽16.65/M | ₽416 |
| Hunyuan Mt 7B | tencent | ₽16.65/M | ₽16.65/M | ₽416 |
| Llama 3.2 1B Preview | Meta | ₽16.65/M | ₽16.65/M | ₽416 |
| Llama 4 Maverick | Meta | ₽16.65/M | ₽16.65/M | ₽416 |
| Llama 4 Scout | Meta | ₽16.65/M | ₽16.65/M | ₽416 |
| Moonlight 16B A3B Instruct | MoonshotAI | ₽16.65/M | ₽16.65/M | ₽416 |
| Qwen2 1.5b Instruct | Qwen | ₽16.65/M | ₽16.65/M | ₽416 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽16.65/M | ₽16.65/M | ₽416 |
| Qwen3 8B | Qwen | ₽16.65/M | ₽16.65/M | ₽416 |
| Text Moderation | text moderation latest | ₽16.65/M | ₽16.65/M | ₽416 |
| Text Moderation 007 | text moderation 007 | ₽16.65/M | ₽16.65/M | ₽416 |
| Text Moderation Stable | text moderation stable | ₽16.65/M | ₽16.65/M | ₽416 |
| Qwen3.5-27B | Qwen | ₽7.04/M | ₽56.34/M | ₽423 |
| ERNIE X1 Turbo | ernie x1 turbo | ₽11.32/M | ₽45.29/M | ₽453 |
| ERNIE X1.1 Preview | ERNIE X1.1 Preview | ₽11.32/M | ₽45.29/M | ₽453 |
| Ling Flash 2.0 | inclusionAI | ₽11.32/M | ₽45.29/M | ₽453 |
| Qwen3 Coder Flash | Qwen | ₽11.32/M | ₽45.29/M | ₽453 |
| Ring Flash 2.0 | inclusionAI | ₽11.32/M | ₽45.29/M | ₽453 |
| qwen3.5 plus | qwen3.5 plus | ₽9.12/M | ₽54.74/M | ₽456 |
| DeepSeek R1 Distill Qianfan Llama 8B | DeepSeek | ₽11.40/M | ₽45.62/M | ₽456 |
| Kat Dev | kat dev | ₽11.40/M | ₽45.62/M | ₽456 |
| qwen3 coder next | Qwen | ₽11.40/M | ₽45.62/M | ₽456 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.49/M | ₽45.95/M | ₽460 |
| hunyuan a13b | hunyuan a13b | ₽11.65/M | ₽46.62/M | ₽466 |
| deepseek v4.1 flash | DeepSeek | ₽11.72/M | ₽46.88/M | ₽469 |
| Coding Xiaomi Mimo V2.5 Pro | coding xiaomi mimo v2.5 pro | ₽16.65/M | ₽33.30/M | ₽499 |
| Coding Xiaomi Mimo V2.6 Pro | coding xiaomi mimo v2.6 pro | ₽16.65/M | ₽33.30/M | ₽499 |
| GPT-4o Mini | OpenAI | ₽12.49/M | ₽49.95/M | ₽499 |
| GPT-4o mini Audio | OpenAI | ₽12.49/M | ₽49.95/M | ₽499 |
| Qwen2 57B A14B Instruct | Qwen | ₽19.98/M | ₽19.98/M | ₽499 |
| Qwen2.5 Coder 1.5b Instruct | qwen2.5 coder 1.5b instruct | ₽16.65/M | ₽33.30/M | ₽499 |
| Qwen2.5 Coder 7B | Qwen | ₽16.65/M | ₽33.30/M | ₽499 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽16.65/M | ₽33.30/M | ₽499 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽19.98/M | ₽19.98/M | ₽499 |
| DeepSeek V4 Flash Vision Exp | DeepSeek | ₽12.90/M | ₽51.61/M | ₽516 |
| Hy3 | Tencent | ₽14.15/M | ₽47.17/M | ₽519 |
| Longcat Flash Chat | LongCat Flash Chat | ₽11.65/M | ₽58.27/M | ₽524 |
| Qwen3 32B | Qwen | ₽13.32/M | ₽53.28/M | ₽533 |
| Grok 4 Fast | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4 Fast (reasoning) | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4.1 Fast | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4.1 Fast (reasoning) | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Qwen-MT Turbo | Qwen | ₽15.98/M | ₽44.53/M | ₽542 |
| Seed Oss 36B Instruct | ByteDance Seed | ₽16.65/M | ₽44.45/M | ₽555 |
| mimo v2 flash | xiaomi | ₽15.97/M | ₽47.90/M | ₽559 |
| Qwen3.5-122B-A10B | Qwen | ₽9.37/M | ₽74.99/M | ₽562 |
| Claude 3 Haiku | Anthropic | ₽22.89/M | ₽22.89/M | ₽572 |
| Coding Xiaomi Mimo V2 Pro | coding xiaomi mimo v2 pro | ₽16.65/M | ₽49.95/M | ₽583 |
| Gemini Pro | ₽16.65/M | ₽49.95/M | ₽583 | |
| GLM 4.5 Air | Z.ai | ₽11.65/M | ₽69.93/M | ₽583 |
| Qianfan Qi VL | qianfan qi vl | ₽16.65/M | ₽49.95/M | ₽583 |
| Chatglm_lite | chatglm_lite | ₽23.79/M | ₽23.79/M | ₽595 |
| CC DeepSeek V3 | cc deepseek v3 | ₽24.97/M | ₽24.97/M | ₽624 |
| Llama3 8B 8192(33) | llama3 8b 8192(33) | ₽24.97/M | ₽24.97/M | ₽624 |
| Llama3 8B Chat | Meta | ₽24.97/M | ₽24.97/M | ₽624 |
| Alicloud Deepseek V3.2 | alicloud deepseek v3.2 | ₽22.81/M | ₽34.21/M | ₽627 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽9.12/M | ₽91.23/M | ₽639 |
| Groq Llama 4 Maverick 17B 128e Instruct | groq llama 4 maverick 17b 128e instruct | ₽18.31/M | ₽54.94/M | ₽641 |
| Nvidia Nemotron Nano 12B V2 VL | nvidia nemotron nano 12b v2 vl | ₽18.31/M | ₽54.94/M | ₽641 |
| Mercury 2.5 | mercury 2.5 | ₽16.65/M | ₽62.43/M | ₽645 |
| Qwen Plus | Qwen | ₽9.37/M | ₽93.73/M | ₽656 |
| Aihubmix Command R 08 2024 | aihubmix command r 08 2024 | ₽16.65/M | ₽66.60/M | ₽666 |
| Command R | command r | ₽16.65/M | ₽66.60/M | ₽666 |
| Mistral Small 3.1 24B Instruct 2503 | Mistral | ₽16.65/M | ₽66.60/M | ₽666 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽16.65/M | ₽66.60/M | ₽666 |
| gpt oss 120b | OpenAI | ₽14.98/M | ₽74.92/M | ₽674 |
| qwen3.5 397b a17b | Qwen | ₽13.69/M | ₽82.11/M | ₽684 |
| deepseek v3.2 | DeepSeek | ₽25.14/M | ₽37.71/M | ₽691 |
| Qwen3 30B A3B | Qwen | ₽9.99/M | ₽99.89/M | ₽699 |
| MiniMax Text 01 | MiniMax Text 01 | ₽11.65/M | ₽93.23/M | ₽699 |
| qwen3.6 flash | Qwen | ₽14.07/M | ₽84.41/M | ₽703 |
| Grok 3 Mini | xAI | ₽24.97/M | ₽41.71/M | ₽708 |
| Qianfan Llama VL 8B | qianfan llama vl 8b | ₽22.81/M | ₽57.02/M | ₽741 |
| Aihubmix Llama 3.1 8B Instruct | aihubmix Llama 3 1 8B Instruct | ₽24.97/M | ₽49.95/M | ₽749 |
| Llama 3.1 8B Instant | Meta | ₽24.97/M | ₽49.95/M | ₽749 |
| Llama3.1 8B | llama3.1 8b | ₽24.97/M | ₽49.95/M | ₽749 |
| Qwen2 VL 7B Instruct | Qwen2 VL 7B Instruct | ₽23.31/M | ₽58.27/M | ₽758 |
| GLM 4.5V | Z.ai | ₽22.81/M | ₽68.43/M | ₽798 |
| Qwen3-VL Plus | alibaba | ₽11.40/M | ₽114/M | ₽798 |
| Aihubmix Llama 3.2 11B Vision | aihubmix Llama 3 2 11B Vision | ₽33.30/M | ₽33.30/M | ₽832 |
| Gpt 5.6 Luna | OpenAI | ₽16.65/M | ₽99.89/M | ₽832 |
| MythoMax 13B | gryphe | ₽33.30/M | ₽33.30/M | ₽832 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽33.30/M | ₽33.30/M | ₽832 |
| Text Ada 001 | text ada 001 | ₽33.30/M | ₽33.30/M | ₽832 |
| Gpt 5.4 Nano | OpenAI | ₽16.65/M | ₽104/M | ₽853 |
| DeepSeek V3 | DeepSeek | ₽22.64/M | ₽90.57/M | ₽906 |
| GLM 4.6 | Z.ai | ₽22.81/M | ₽91.23/M | ₽912 |
| Glm 4.7 | glm 4.7 | ₽22.81/M | ₽91.23/M | ₽912 |
| Bai Qwen3 VL 235B A22B Instruct | bai qwen3 vl 235b a22b instruct | ₽22.81/M | ₽91.24/M | ₽912 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽22.81/M | ₽91.24/M | ₽912 |
| Step 3.7 Flash | StepFun | ₽18.31/M | ₽110/M | ₽916 |
| Qwen3 14B | Qwen | ₽13.32/M | ₽133/M | ₽932 |
| qwen3 235b a22b | Qwen | ₽23.31/M | ₽93.23/M | ₽932 |
| Qwen3 235B A22B Instruct | alibaba | ₽23.31/M | ₽93.23/M | ₽932 |
| qwen3.7 plus | Qwen | ₽23.48/M | ₽93.90/M | ₽939 |
| Alicloud Minimax M2.5 | alicloud minimax m2.5 | ₽23.94/M | ₽95.77/M | ₽958 |
| MiniMax M2.1 | MiniMax | ₽23.97/M | ₽95.90/M | ₽959 |
| MiniMax M2.5 | MiniMax | ₽23.97/M | ₽95.90/M | ₽959 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽23.97/M | ₽95.90/M | ₽959 |
| minimax m3 | MiniMax | ₽23.97/M | ₽95.90/M | ₽959 |
| qwen3.8 max | Qwen | ₽28.14/M | ₽84.41/M | ₽985 |
| minimax m2.7 | MiniMax | ₽24.62/M | ₽98.50/M | ₽985 |
| gemini 2.5 flash image | ₽24.97/M | ₽99.89/M | ₽999 | |
| Qwen Qwq 32B | Qwen | ₽33.30/M | ₽66.60/M | ₽999 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽33.30/M | ₽66.60/M | ₽999 |
| Solar Pro4 | solar pro4 | ₽24.97/M | ₽99.89/M | ₽999 |
| Gemini 3.1 Flash Lite | ₽20.81/M | ₽125/M | ₽1 041 | |
| gemini 3.1 flash lite image | ₽20.81/M | ₽125/M | ₽1 041 | |
| Gemini 2.5 Flash Preview Tts | ₽41.62/M | ₽41.62/M | ₽1 041 | |
| Llama 3_1 Nemotron Ultra 253B V1 | NVIDIA | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Llama 3.2 90B Vision Preview | Meta | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Llama2 70B 40960 | llama2 70b 40960 | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Text Babbage 001 | text babbage 001 | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽14.98/M | ₽150/M | ₽1 049 |
| Qwen 3 235B A22B Instruct 2507 | Qwen | ₽23.31/M | ₽117/M | ₽1 049 |
| qwen3.6 35b a3b | Qwen | ₽21.14/M | ₽127/M | ₽1 057 |
| CC ERNIE 4.5 300B A47B | cc ernie 4.5 300b a47b | ₽26.64/M | ₽107/M | ₽1 066 |
| CC Kimi Dev 72B | cc kimi dev 72b | ₽26.64/M | ₽107/M | ₽1 066 |
| ERNIE 4.5 300B A47B | baidu | ₽26.64/M | ₽107/M | ₽1 066 |
| Kimi Dev 72B | MoonshotAI | ₽26.64/M | ₽107/M | ₽1 066 |
| Deepinfra Llama 4 Maverick 17B 128e Instruct | deepinfra llama 4 maverick 17b 128e instruct | ₽27.47/M | ₽110/M | ₽1 099 |
| Agnes 2.5 Pro | agnes 2.5 pro | ₽37.46/M | ₽74.92/M | ₽1 124 |
| Glm 5.3 Flashx | glm 5.3 flashx | ₽30.80/M | ₽104/M | ₽1 136 |
| Meta Llama 3 8B | Meta | ₽45.62/M | ₽45.62/M | ₽1 140 |
| qwen3 235b a22b 2507 | Qwen | ₽29.14/M | ₽117/M | ₽1 165 |
| Aihubmix Codestral 2501 | aihubmix Codestral 2501 | ₽33.30/M | ₽99.89/M | ₽1 165 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽33.30/M | ₽99.89/M | ₽1 165 |
| Mistral Codestral | Mistral | ₽33.30/M | ₽99.89/M | ₽1 165 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽33.30/M | ₽99.89/M | ₽1 165 |
| Qwen3.6 Plus | Qwen | ₽23.48/M | ₽141/M | ₽1 174 |
| MiMo-V2.5-Pro | Xiaomi | ₽39.96/M | ₽79.92/M | ₽1 199 |
| MiMo-V2.6-Pro | Xiaomi | ₽39.96/M | ₽79.92/M | ₽1 199 |
| GPT-5 Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| GPT-5.1-Codex-Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| Cerebras Llama 3.3 70B | cerebras llama 3.3 70b | ₽49.95/M | ₽49.95/M | ₽1 249 |
| DeepSeek R1 Distill Llama 70B | DeepSeek | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Llama 3.1 70B Versatile | Meta | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Llama 3.3 70B | Meta | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Qwen Max | Qwen | ₽31.63/M | ₽127/M | ₽1 265 |
| Aihubmix Llama 3.1 70B Instruct | aihubmix Llama 3 1 70B Instruct | ₽49.95/M | ₽64.93/M | ₽1 324 |
| Ahm Phi 3.5 Moe Instruct | ahm Phi 3 5 MoE instruct | ₽33.30/M | ₽133/M | ₽1 332 |
| Ahm Phi 3.5 Vision Instruct | ahm Phi 3 5 vision instruct | ₽33.30/M | ₽133/M | ₽1 332 |
| Aihubmix Router | aihubmix router | ₽33.30/M | ₽133/M | ₽1 332 |
| GLM 4.5 | Z.ai | ₽33.30/M | ₽133/M | ₽1 332 |
| Gpt 4.1 Mini | OpenAI | ₽33.30/M | ₽133/M | ₽1 332 |
| Qwen 3 32B | Qwen | ₽33.30/M | ₽133/M | ₽1 332 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽38.29/M | ₽115/M | ₽1 340 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽14.98/M | ₽210/M | ₽1 349 |
| qwen3.8 27b | Qwen | ₽16.65/M | ₽208/M | ₽1 374 |
| Coding Kimi K3 | coding kimi k3 | ₽36.63/M | ₽134/M | ₽1 404 |
| Qwen-MT Plus | Qwen | ₽40.96/M | ₽123/M | ₽1 433 |
| Groq Llama 3.3 70B Versatile | groq llama 3.3 70b versatile | ₽54.03/M | ₽72.34/M | ₽1 442 |
| Aihubmix Llama 3 70B Instruct | aihubmix Llama 3 70B Instruct | ₽58.27/M | ₽58.27/M | ₽1 457 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽58.27/M | ₽58.27/M | ₽1 457 |
| gpt 3.5 turbo | OpenAI | ₽41.62/M | ₽125/M | ₽1 457 |
| Mistral Large 3 | Mistral | ₽41.62/M | ₽125/M | ₽1 457 |
| GLM 3 Turbo | glm 3 turbo | ₽59.10/M | ₽59.10/M | ₽1 478 |
| Alicloud Glm 4.7 | alicloud glm 4.7 | ₽34.21/M | ₽160/M | ₽1 482 |
| Chatglm_std | chatglm_std | ₽59.47/M | ₽59.47/M | ₽1 487 |
| Chatglm_turbo | chatglm_turbo | ₽59.47/M | ₽59.47/M | ₽1 487 |
| Aihubmix Mistral Medium | AiHubmix mistral medium | ₽33.30/M | ₽166/M | ₽1 498 |
| Qwen3 Max | qwen3 max | ₽37.53/M | ₽150/M | ₽1 501 |
| Gemini 2.5 Flash | ₽24.97/M | ₽208/M | ₽1 540 | |
| Gemini 3.5 Flash Lite | ₽24.97/M | ₽208/M | ₽1 540 | |
| Llama3 70B 8192 | llama3 70b 8192 | ₽58.27/M | ₽78.02/M | ₽1 556 |
| Doubao Seed 2.1 Turbo | doubao seed 2 1 turbo | ₽35.18/M | ₽176/M | ₽1 583 |
| Qwen 3 235B A22B Thinking 2507 | Qwen | ₽23.31/M | ₽233/M | ₽1 632 |
| CC DeepSeek V3.1 | cc deepseek v3.1 | ₽46.62/M | ₽140/M | ₽1 632 |
| deepseek v3.1 | DeepSeek | ₽46.62/M | ₽140/M | ₽1 632 |
| mimo v2 omni | mimo v2 omni | ₽36.63/M | ₽183/M | ₽1 648 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽56.94/M | ₽102/M | ₽1 651 |
| Gemma 2 27B | ₽66.60/M | ₽66.60/M | ₽1 665 | |
| qwen 2.5 72b instruct | Qwen | ₽66.60/M | ₽66.60/M | ₽1 665 |
| Qwen2 72B Instruct | Qwen | ₽66.60/M | ₽66.60/M | ₽1 665 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽66.60/M | ₽66.60/M | ₽1 665 |
| Azure Deepseek V3.2 | azure deepseek v3.2 | ₽48.28/M | ₽140/M | ₽1 665 |
| Azure Deepseek V3.2 Speciale | azure deepseek v3.2 speciale | ₽48.28/M | ₽140/M | ₽1 665 |
| Qianfan Chinese Llama 2 13B | qianfan chinese llama 2 13b | ₽68.43/M | ₽68.43/M | ₽1 711 |
| qwen3.6 27b | Qwen | ₽35.13/M | ₽211/M | ₽1 756 |
| Kimi K2 0711 | MoonshotAI | ₽44.95/M | ₽180/M | ₽1 798 |
| qwen3 coder plus | Qwen | ₽44.95/M | ₽180/M | ₽1 798 |
| doubao seed 2.0 code | doubao seed 2.0 code | ₽40.14/M | ₽201/M | ₽1 806 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽40.14/M | ₽201/M | ₽1 806 |
| Alicloud Kimi K2 Instruct | alicloud kimi k2 instruct | ₽45.62/M | ₽182/M | ₽1 825 |
| CC Kimi K2 Instruct | cc kimi k2 instruct | ₽45.62/M | ₽182/M | ₽1 825 |
| Ling 1t | inclusionAI | ₽45.62/M | ₽182/M | ₽1 825 |
| Ring 1t | inclusionAI | ₽45.62/M | ₽182/M | ₽1 825 |
| Sf Kimi K2 Thinking | sf kimi k2 thinking | ₽45.62/M | ₽182/M | ₽1 825 |
| Aihubmix Cohere Command R | aihubmix Cohere command r | ₽53.28/M | ₽160/M | ₽1 865 |
| Wizardcoder Python 34B V1.0 | WizardLM | ₽74.92/M | ₽74.92/M | ₽1 873 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽66.60/M | ₽120/M | ₽1 931 |
| Doubao Pro 128K | Doubao pro 128k | ₽66.60/M | ₽120/M | ₽1 931 |
| Doubao Pro 256K | Doubao pro 256k | ₽66.60/M | ₽120/M | ₽1 931 |
| Alicloud Glm 5 | alicloud glm 5 | ₽46.90/M | ₽211/M | ₽1 993 |
| ERNIE 5.1 | ernie 5.1 | ₽46.90/M | ₽211/M | ₽1 993 |
| deepseek r1 distill llama 70b | DeepSeek | ₽66.60/M | ₽133/M | ₽1 998 |
| MiniMax M1 80K | MiniMaxAI | ₽49.95/M | ₽200/M | ₽1 998 |
| Deepseek V4 Pro | DeepSeek | ₽57.59/M | ₽173/M | ₽2 016 |
| Doubao 1.5 Thinking Pro | Doubao 1.5 thinking pro | ₽51.61/M | ₽206/M | ₽2 064 |
| gemini 3 flash | ₽41.62/M | ₽250/M | ₽2 081 | |
| Gemini 2.5 Pro Preview Tts | ₽83.25/M | ₽83.25/M | ₽2 081 | |
| Gemini 3.8 Flash Lite TTS | ₽83.25/M | ₽83.25/M | ₽2 081 | |
| Gemini Pro Vision | ₽83.25/M | ₽83.25/M | ₽2 081 | |
| Kimi K2.5 | MoonshotAI | ₽49.95/M | ₽250/M | ₽2 248 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽66.60/M | ₽200/M | ₽2 331 |
| Hy4 preview | Tencent | ₽70.34/M | ₽211/M | ₽2 462 |
| GLM 5V Turbo | Z.ai | ₽58.62/M | ₽258/M | ₽2 462 |
| Command | command | ₽83.25/M | ₽166/M | ₽2 497 |
| Command Light | command light | ₽83.25/M | ₽166/M | ₽2 497 |
| Command Light Nightly | command light nightly | ₽83.25/M | ₽166/M | ₽2 497 |
| Command Nightly | command nightly | ₽83.25/M | ₽166/M | ₽2 497 |
| GPT 3.5 Turbo 1106 | OpenAI | ₽83.25/M | ₽166/M | ₽2 497 |
| Grok Build 0.1 | xAI | ₽83.25/M | ₽166/M | ₽2 497 |
| Grok Code Fast 1 | xAI | ₽83.25/M | ₽166/M | ₽2 497 |
| Qvq 72B Preview | Qwen | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Qwen 3.8 27B | Qwen | ₽91.57/M | ₽137/M | ₽2 518 |
| Longcat 2.0 | longcat 2.0 | ₽64.48/M | ₽258/M | ₽2 579 |
| qwen3 coder 480b a35b 07 25 | Qwen | ₽68.26/M | ₽273/M | ₽2 730 |
| ERNIE 5.0 | ernie 5.0 | ₽68.42/M | ₽274/M | ₽2 737 |
| Nvidia Llama 3.1 Nemotron 70B Instruct | nvidia llama 3.1 nemotron 70b instruct | ₽110/M | ₽110/M | ₽2 747 |
| Gemini 3.7 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| Gemini 3.8 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| Glm 5.1 | glm 5.1 | ₽70.34/M | ₽281/M | ₽2 814 |
| Ahm Phi 3 Medium 4K | ahm Phi 3 medium 4k | ₽83.25/M | ₽250/M | ₽2 914 |
| Ahm Phi 3 Small 128K | ahm Phi 3 small 128k | ₽83.25/M | ₽250/M | ₽2 914 |
| Ahm Phi 3.5 Mini Instruct | ahm Phi 3 5 mini instruct | ₽83.25/M | ₽250/M | ₽2 914 |
| Chatglm_pro | chatglm_pro | ₽119/M | ₽119/M | ₽2 973 |
| Step3 | stepfun ai | ₽91.57/M | ₽229/M | ₽2 976 |
| L3.1 Euryale 70B | l3.1 euryale 70b | ₽123/M | ₽123/M | ₽3 080 |
| Step 5 Preview | step 5 preview | ₽89.91/M | ₽257/M | ₽3 084 |
| Claude Instant 1.2 | Anthropic | ₽73.26/M | ₽330/M | ₽3 113 |
| Gpt 5.4 Mini | OpenAI | ₽62.43/M | ₽375/M | ₽3 122 |
| grok 4.3 | xAI | ₽104/M | ₽208/M | ₽3 122 |
| Doubao Seed 2.1 Pro | doubao seed 2 1 pro | ₽70.34/M | ₽352/M | ₽3 165 |
| mimo v2 pro | mimo v2 pro | ₽91.57/M | ₽275/M | ₽3 205 |
| Kimi K2.6 | kimi k2.6 | ₽79.08/M | ₽333/M | ₽3 246 |
| Kimi K2.7 Code | kimi k2.7 code | ₽79.08/M | ₽333/M | ₽3 246 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 2.0 Mini 260615 | doubao seedance 2 0 mini 260615 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 2.5 260628 | doubao seedance 2 5 260628 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedream 4.0 | doubao seedream 4 0 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedream 4.5 | doubao seedream 4 5 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedream 5.0 Lite | doubao seedream 5.0 lite | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedream 5.0 Pro | doubao seedream 5.0 pro | ₽166/M | ₽166/M | ₽3 330 |
| ERNIE Image Turbo | ernie image turbo | ₽166/M | ₽166/M | ₽3 330 |
| flux 2 flex | Black Forest Labs | ₽166/M | ₽166/M | ₽3 330 |
| flux 2 pro | Black Forest Labs | ₽166/M | ₽166/M | ₽3 330 |
| Flux Kontext Max | Black Forest Labs | ₽166/M | ₽166/M | ₽3 330 |
| Fx Flux 2 Pro | fx flux 2 pro | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.0 I2v | happyhorse 1.0 i2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.0 R2v | happyhorse 1.0 r2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.0 T2v | happyhorse 1.0 t2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.1 I2v | happyhorse 1.1 i2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.1 R2v | happyhorse 1.1 r2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.1 T2v | happyhorse 1.1 t2v | ₽166/M | ₽166/M | ₽3 330 |
| Kling V3 Omni | kling v3 omni | ₽166/M | ₽166/M | ₽3 330 |
| Kling Video O1 | kling video o1 | ₽166/M | ₽166/M | ₽3 330 |
| Musesteamer Air Image | musesteamer air image | ₽166/M | ₽166/M | ₽3 330 |
| Paddleocr VL 0.9b | paddleocr vl 0.9b | ₽166/M | ₽166/M | ₽3 330 |
| Pp Structurev3 | pp structurev3 | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image 2.0 | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image 2.0 Pro | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image 3.0 | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image 3.0 Pro | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image Edit | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image Max | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽166/M | ₽166/M | ₽3 330 |
| Veo 3.1 Lite | ₽166/M | ₽166/M | ₽3 330 | |
| Wan 2.2 I2V Plus | alibaba | ₽166/M | ₽166/M | ₽3 330 |
| Wan 2.5 I2V Preview | alibaba | ₽166/M | ₽166/M | ₽3 330 |
| Wan 2.5 T2V Preview | alibaba | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.6 I2v | wan2.6 i2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.6 T2i | wan2.6 t2i | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.6 T2v | wan2.6 t2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.7 I2v | wan2.7 i2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.7 R2v | wan2.7 r2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.7 T2v | wan2.7 t2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seed 2.1 Pro 260628 | doubao seed 2 1 pro 260628 | ₽77.38/M | ₽387/M | ₽3 482 |
| Glm 5.2 | glm 5.2 | ₽93.80/M | ₽328/M | ₽3 518 |
| Glm 5.3 | glm 5.3 | ₽93.80/M | ₽328/M | ₽3 518 |
| Mai Image 2.5 Flash | mai image 2.5 flash | ₽146/M | ₽146/M | ₽3 642 |
| Mai Image 2.6 Flash | mai image 2.6 flash | ₽146/M | ₽146/M | ₽3 642 |
| glm 5 turbo | Z.ai | ₽99.89/M | ₽333/M | ₽3 663 |
| Zai Glm 5 Turbo | zai glm 5 turbo | ₽99.89/M | ₽333/M | ₽3 663 |
| O3 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O4 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| GLM 4.5 Airx | glm 4.5 airx | ₽91.57/M | ₽375/M | ₽3 709 |
| Claude Instant 1 | Anthropic | ₽149/M | ₽149/M | ₽3 731 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽99.89/M | ₽400/M | ₽3 996 |
| Claude Haiku 4.5 | Anthropic | ₽91.57/M | ₽458/M | ₽4 121 |
| Agnes Image 2.1 Flash | agnes image 2.1 flash | ₽166/M | ₽166/M | ₽4 162 |
| Auto | auto | ₽166/M | ₽166/M | ₽4 162 |
| Davinci | davinci | ₽166/M | ₽166/M | ₽4 162 |
| Describe | DESCRIBE | ₽166/M | ₽166/M | ₽4 162 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽166/M | ₽166/M | ₽4 162 |
| Flux 1.1 Pro | Black Forest Labs | ₽166/M | ₽166/M | ₽4 162 |
| Gemini | ₽104/M | ₽416/M | ₽4 162 | |
| Gemini | ₽104/M | ₽416/M | ₽4 162 | |
| Gemini | ₽104/M | ₽416/M | ₽4 162 | |
| gemini 2.5 pro | ₽104/M | ₽416/M | ₽4 162 | |
| GLM 4 Vision Plus | glm 4v plus | ₽166/M | ₽166/M | ₽4 162 |
| Glm Image | thudm | ₽166/M | ₽166/M | ₽4 162 |
| GLM Zero Preview | glm zero preview | ₽166/M | ₽166/M | ₽4 162 |
| Hy 3d 3.1 | hy 3d 3.1 | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 | imagen 4.0 | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 Ultra | imagen 4.0 ultra | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| Janus Pro 7B | DeepSeek | ₽166/M | ₽166/M | ₽4 162 |
| Learnlm 1.5 Pro Experimental | learnlm 1.5 pro experimental | ₽104/M | ₽416/M | ₽4 162 |
| MiniMax H3 | minimax h3 | ₽166/M | ₽166/M | ₽4 162 |
| MiniMax H3 Max | minimax h3 max | ₽166/M | ₽166/M | ₽4 162 |
| Moonshot V1 8K | moonshot v1 8k | ₽166/M | ₽166/M | ₽4 162 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽166/M | ₽166/M | ₽4 162 |
| Sora 2 | Sora 2 | ₽166/M | ₽166/M | ₽4 162 |
| Sora 2 Pro | sora 2 pro | ₽166/M | ₽166/M | ₽4 162 |
| Step 2 16K | step 2 16k | ₽166/M | ₽166/M | ₽4 162 |
| Text Curie 001 | text curie 001 | ₽166/M | ₽166/M | ₽4 162 |
| Upscale | UPSCALE | ₽166/M | ₽166/M | ₽4 162 |
| V_1 | V_1 | ₽166/M | ₽166/M | ₽4 162 |
| V_1_turbo | V_1_TURBO | ₽166/M | ₽166/M | ₽4 162 |
| V_2 | V_2 | ₽166/M | ₽166/M | ₽4 162 |
| V_2_turbo | V_2_TURBO | ₽166/M | ₽166/M | ₽4 162 |
| V_2a | V_2A | ₽166/M | ₽166/M | ₽4 162 |
| V_2a_turbo | V_2A_TURBO | ₽166/M | ₽166/M | ₽4 162 |
| V3 | V3 | ₽166/M | ₽166/M | ₽4 162 |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| Wan 2.7 Image | alibaba | ₽166/M | ₽166/M | ₽4 162 |
| Wan 2.7 Image Pro | alibaba | ₽166/M | ₽166/M | ₽4 162 |
| Wan 3.0 Video | alibaba | ₽166/M | ₽166/M | ₽4 162 |
| Wan3.0 Video Prime | wan3.0 video prime | ₽166/M | ₽166/M | ₽4 162 |
| Cloudflare Glm 5.2 | cloudflare glm 5.2 | ₽117/M | ₽366/M | ₽4 162 |
| Muse Spark 1.1 | Meta | ₽114/M | ₽389/M | ₽4 235 |
| Muse Spark 1.2 | Meta | ₽114/M | ₽389/M | ₽4 235 |
| Muse Spark 1.3 | Meta | ₽114/M | ₽389/M | ₽4 235 |
| Gemini 3.8 Flash TTS | ₽41.62/M | ₽749/M | ₽4 578 | |
| DeepSeek R1 Zero | DeepSeek | ₽183/M | ₽183/M | ₽4 578 |
| Cbs Glm 4.7 | cbs glm 4.7 | ₽187/M | ₽229/M | ₽4 891 |
| qwen3.7 max | Qwen | ₽141/M | ₽422/M | ₽4 924 |
| codex mini | codex mini | ₽125/M | ₽499/M | ₽4 995 |
| Aihubmix Llama 3.2 90B Vision | aihubmix Llama 3 2 90B Vision | ₽200/M | ₽200/M | ₽4 995 |
| Qwen3.6 Max | qwen3.6 max | ₽106/M | ₽633/M | ₽5 278 |
| Llama3 70B 8192(33) | llama3 70b 8192(33) | ₽221/M | ₽221/M | ₽5 515 |
| Gemini 3.6 Flash | ₽125/M | ₽624/M | ₽5 619 | |
| Aihubmix Mistral Large 2411 | aihubmix Mistral Large 2411 | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4 20 (reasoning) | xAI | ₽166/M | ₽499/M | ₽5 827 |
| grok 4.20 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.20 Beta 0309 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.20 Beta 0309 (reasoning) | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.20 Multi-Agent | xAI | ₽166/M | ₽499/M | ₽5 827 |
| grok 4.5 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.6 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Qwen3.8 2.4T A95B | Qwen | ₽166/M | ₽499/M | ₽5 827 |
| gpt 4o mini tts | OpenAI | ₽49.95/M | ₽999/M | ₽5 994 |
| Gemini 3.5 Flash | ₽125/M | ₽749/M | ₽6 243 | |
| gpt 5 codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Gpt 5.1 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 Chat | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1 Chat | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex-Max | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽181/M | ₽544/M | ₽6 352 |
| Grok 4.7 | xAI | ₽183/M | ₽549/M | ₽6 410 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽158/M | ₽666/M | ₽6 493 |
| Gpt 4.1 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| GPT-3.5 Turbo 16k | OpenAI | ₽250/M | ₽333/M | ₽6 660 |
| Mai Thinking 1 | mai thinking 1 | ₽166/M | ₽666/M | ₽6 660 |
| O3 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| Grok 2 1212 | xAI | ₽150/M | ₽749/M | ₽6 743 |
| Grok 2 Vision 1212 | xAI | ₽150/M | ₽749/M | ₽6 743 |
| Aihubmix Jamba 1.5 Large | aihubmix Jamba 1 5 Large | ₽183/M | ₽733/M | ₽7 326 |
| GLM 4.5 X | glm 4.5 x | ₽183/M | ₽742/M | ₽7 371 |
| Claude Sonnet 5 | Anthropic | ₽166/M | ₽832/M | ₽7 492 |
| Claude Sonnet 5.5 | Anthropic | ₽166/M | ₽832/M | ₽7 492 |
| Gpt 6 Sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| gpt 6.1 sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| Gemini 3.1 Pro | ₽166/M | ₽999/M | ₽8 325 | |
| Gemini 3.1 Pro Preview Custom Tools | ₽166/M | ₽999/M | ₽8 325 | |
| Gpt 5.6 Terra | OpenAI | ₽166/M | ₽999/M | ₽8 325 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽166/M | ₽999/M | ₽8 325 | |
| Command A | Cohere | ₽208/M | ₽832/M | ₽8 325 |
| Command A+ | Cohere | ₽208/M | ₽832/M | ₽8 325 |
| GPT 4o Audio Preview | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt 4o transcribe diarize | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| GPT 4o Zh | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt audio 1.5 | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| GPT-4o | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| Llama 3.1 405B (reasoning) | Meta | ₽333/M | ₽333/M | ₽8 325 |
| Moonshot V1 32K | moonshot v1 32k | ₽333/M | ₽333/M | ₽8 325 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽333/M | ₽333/M | ₽8 325 |
| Stable Diffusion 3.5 Large | Stable Diffusion 3 5 Large | ₽333/M | ₽333/M | ₽8 325 |
| Aihubmix Mistral Large 2407 | aihubmix Mistral large 2407 | ₽250/M | ₽749/M | ₽8 741 |
| Gpt 5.2 | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT 5.2 High | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT 5.2 Low | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| gpt 5.3 codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2 Chat | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2-Codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.3 Chat | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| Mistral Large 2407 | Mistral | ₽250/M | ₽749/M | ₽8 741 |
| Aihubmix Command R Plus | aihubmix command r plus | ₽233/M | ₽932/M | ₽9 323 |
| Command R Plus | command r plus | ₽233/M | ₽932/M | ₽9 323 |
| Meta Llama 3 70B | Meta | ₽399/M | ₽399/M | ₽9 979 |
| Computer Use Preview | computer use preview | ₽250/M | ₽999/M | ₽9 989 |
| o1 mini | OpenAI | ₽250/M | ₽999/M | ₽9 989 |
| Gpt 5.4 | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| GPT 5.4 High | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| GPT 5.4 Low | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| MAI Image 2.5 Pro (Text to Image) | microsoft | ₽416/M | ₽416/M | ₽10 406 |
| Mai Image 2.5 Text to Image | microsoft | ₽416/M | ₽416/M | ₽10 406 |
| Mai Image 2.6 | mai image 2.6 | ₽416/M | ₽416/M | ₽10 406 |
| Claude Sonnet 4.6 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Grok 3 | xAI | ₽250/M | ₽1 249/M | ₽11 238 |
| Kimi K3 | kimi k3 | ₽250/M | ₽1 249/M | ₽11 238 |
| Distil Whisper Large V3 En | distil whisper large v3 en | ₽463/M | ₽463/M | ₽11 563 |
| Whisper Large V3 Turbo | OpenAI | ₽463/M | ₽463/M | ₽11 563 |
| Aihubmix Mistral Large | aihubmix Mistral large | ₽333/M | ₽999/M | ₽11 654 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽400/M | ₽799/M | ₽11 987 |
| Claude Sonnet 4.5 | Anthropic | ₽275/M | ₽1 374/M | ₽12 362 |
| Grok 4 | xAI | ₽275/M | ₽1 374/M | ₽12 362 |
| Sonnet 3 | Anthropic | ₽275/M | ₽1 374/M | ₽12 362 |
| gpt image 1.5 | OpenAI | ₽416/M | ₽832/M | ₽12 487 |
| Aihubmix Llama 3.1 405B Instruct | aihubmix Llama 3 1 405B Instruct | ₽416/M | ₽1 249/M | ₽14 568 |
| Claude Opus 5 5 | Anthropic | ₽333/M | ₽1 665/M | ₽14 984 |
| Gpt 5.6 Sol | OpenAI | ₽333/M | ₽1 665/M | ₽14 984 |
| GPT 5.6 Sol Disc | OpenAI | ₽333/M | ₽1 665/M | ₽14 984 |
| Grok Vision Beta | xAI | ₽466/M | ₽1 399/M | ₽16 316 |
| GPT Realtime 2.1 | OpenAI | ₽333/M | ₽1 998/M | ₽16 649 |
| GLM 4 Plus | glm 4 plus | ₽666/M | ₽666/M | ₽16 649 |
| Ahm Phi 3 Medium 128K | ahm Phi 3 medium 128k | ₽499/M | ₽1 498/M | ₽17 482 |
| Claude 2 | Anthropic | ₽733/M | ₽733/M | ₽18 314 |
| Anthropic Opus 4.6 | anthropic opus 4 6 | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4 8 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4.5 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4.6 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4.7 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 5 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Qwen Max Longcontext | Qwen | ₽583/M | ₽1 748/M | ₽20 395 |
| Gpt 5.5 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| GPT Chat Latest | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2.5 flare | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2.5 sunburst | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| Cogview 3 Plus | cogview 3 plus | ₽832/M | ₽832/M | ₽20 811 |
| Moonshot V1 128K | moonshot v1 128k | ₽832/M | ₽832/M | ₽20 811 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽832/M | ₽832/M | ₽20 811 |
| gpt image 1 | OpenAI | ₽416/M | ₽3 330/M | ₽24 974 |
| gpt image 1 mini | OpenAI | ₽416/M | ₽3 330/M | ₽24 974 |
| GPT Image Test | OpenAI | ₽416/M | ₽3 330/M | ₽24 974 |
| GPT 4 1106 Preview | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| gpt 4 turbo | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| GLM 4 | glm 4 | ₽1 182/M | ₽1 182/M | ₽29 552 |
| GLM 4 Vision | glm 4v | ₽1 182/M | ₽1 182/M | ₽29 552 |
| Qwen Audio 3.0 Tts Flash | Qwen | ₽1 182/M | ₽1 182/M | ₽29 552 |
| gpt 5.6 sol pro | OpenAI | ₽666/M | ₽3 330/M | ₽29 968 |
| Claude 2.0 | Anthropic | ₽733/M | ₽3 297/M | ₽31 134 |
| Claude 2.1 | Anthropic | ₽733/M | ₽3 297/M | ₽31 134 |
| Qwen Audio 3.0 Tts Plus | Qwen | ₽1 249/M | ₽1 249/M | ₽31 217 |
| tts 1 | OpenAI | ₽1 249/M | ₽1 249/M | ₽31 217 |
| Tts 1 1106 | tts 1 1106 | ₽1 249/M | ₽1 249/M | ₽31 217 |
| Dall E 2 | dall e 2 | ₽1 332/M | ₽1 332/M | ₽33 298 |
| O3 Deep Research | OpenAI | ₽832/M | ₽3 330/M | ₽33 298 |
| Gpt 6 Astra | OpenAI | ₽832/M | ₽4 162/M | ₽37 460 |
| claude fable 5 | Anthropic | ₽916/M | ₽4 578/M | ₽41 206 |
| Claude Fable 5 1 | Anthropic | ₽916/M | ₽4 578/M | ₽41 206 |
| Code Davinci Edit 001 | code davinci edit 001 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| Text Davinci 002 | text davinci 002 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| Text Search Ada Doc 001 | text search ada doc 001 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| O1 | OpenAI | ₽1 249/M | ₽4 995/M | ₽49 947 |
| claude 3 opus latest | Anthropic | ₽1 374/M | ₽6 868/M | ₽61 810 |
| Claude Opus 4 | Anthropic | ₽1 374/M | ₽6 868/M | ₽61 810 |
| kimi latest | kimi latest | ₽2 497/M | ₽2 497/M | ₽62 434 |
| tts 1 hd | OpenAI | ₽2 497/M | ₽2 497/M | ₽62 434 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 497/M | ₽2 497/M | ₽62 434 |
| Whisper Large V3 | whisper large v3 | ₽2 567/M | ₽2 567/M | ₽64 170 |
| o3 Pro | OpenAI | ₽1 665/M | ₽6 660/M | ₽66 596 |
| Cogview 3 | cogview 3 | ₽2 955/M | ₽2 955/M | ₽73 880 |
| gpt 4 | OpenAI | ₽2 497/M | ₽4 995/M | ₽74 921 |
| GPT-5 Pro | OpenAI | ₽1 249/M | ₽9 989/M | ₽74 921 |
| DALL E 3 | DALL E 3 | ₽3 330/M | ₽3 330/M | ₽83 245 |
| GPT-5.2 Pro | OpenAI | ₽1 748/M | ₽13 985/M | ₽104 889 |
| gpt 5.4 pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| Gpt 5.5 Pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| whisper 1 | OpenAI | ₽8 325/M | ₽8 325/M | ₽208 114 |
| o1-pro | OpenAI | ₽14 152/M | ₽56 607/M | ₽566 069 |
Без публичной цены
нет данных в открытых источниках · 26
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Без публичной цены
нет данных в открытых источниках · 26
Текст и чат
оплата за токены · 688
▼
Текст и чат
оплата за токены · 688
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Llama3 Groq 8B 8192 Tool Use Preview | llama3 groq 8b 8192 tool use preview | ₽0.02/M | ₽0.02/M | ₽0 |
| Llama3 Groq 70B 8192 Tool Use Preview | llama3 groq 70b 8192 tool use preview | ₽0.07/M | ₽0.07/M | ₽2 |
| Mistral 7B Instruct (free) | Mistral | ₽0.17/M | ₽0.17/M | ₽4 |
| DeepSeek R1 Distill Llama 8B | DeepSeek | ₽0.83/M | ₽0.83/M | ₽21 |
| DeepSeek R1 Distill Qwen 1.5b | DeepSeek | ₽0.83/M | ₽0.83/M | ₽21 |
| DeepSeek R1 Distill Qwen 7B | DeepSeek | ₽0.83/M | ₽0.83/M | ₽21 |
| deepseek ocr | DeepSeek | ₽1.66/M | ₽1.66/M | ₽42 |
| DeepSeek R1t Chimera | DeepSeek | ₽1.66/M | ₽1.66/M | ₽42 |
| gemini embedding exp | ₽1.66/M | ₽1.66/M | ₽42 | |
| Llama 3.1 405B | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| llama 3.1 70b | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| llama 3.1 8b | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| llama 3.2 11b vision:free | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| Llama 3.2 3B | Meta | ₽1.66/M | ₽1.66/M | ₽42 |
| Omni Moderation | omni moderation latest | ₽1.66/M | ₽1.66/M | ₽42 |
| Qwen Text Embedding v3 | Qwen | ₽1.66/M | ₽1.66/M | ₽42 |
| text embedding 3 small | OpenAI | ₽1.66/M | ₽1.66/M | ₽42 |
| ERNIE 4.5 0.3b | ernie 4.5 0.3b | ₽1.13/M | ₽4.53/M | ₽45 |
| Coding GLM 4.5 Air | coding glm 4.5 air | ₽1.17/M | ₽6.99/M | ₽58 |
| GLM Ocr | glm ocr | ₽2.35/M | ₽2.35/M | ₽59 |
| Bge Large Zh V1.5 | BAAI | ₽2.83/M | ₽2.83/M | ₽71 |
| bge-large-en-v1.5 | baai | ₽2.83/M | ₽2.83/M | ₽71 |
| Jev 1.13 | jev 1.13 | ₽3.85/M | ₽3.85/M | ₽77 |
| Jev 1.13 | jev | ₽3.85/M | ₽3.85/M | ₽77 |
| Deepinfra Llama 3.1 8B Instant | deepinfra llama 3.1 8b instant | ₽2.75/M | ₽4.58/M | ₽78 |
| Jina Embeddings V5 Text Nano | jina embeddings v5 text nano | ₽4.16/M | ₽4.16/M | ₽83 |
| Jina Embeddings V5 Text Small | jina embeddings v5 text small | ₽4.16/M | ₽4.16/M | ₽83 |
| Coding GLM 5.3 Flash | coding glm 5.3 flash | ₽2.35/M | ₽8.21/M | ₽88 |
| qwen3.7 flash | Qwen | ₽2.35/M | ₽9.39/M | ₽94 |
| GLM 4 9B 0414 | THUDM | ₽4.16/M | ₽4.16/M | ₽104 |
| GLM Z1 9B 0414 | THUDM | ₽4.16/M | ₽4.16/M | ₽104 |
| jina clip v1 | jina clip v1 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Colbert V2 | jina colbert v2 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Embeddings V3 | jina embeddings v3 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Reader | jina reader | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Reranker M0 | jina reranker m0 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Reranker V3 | jina reranker v3 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Reranker V3.5 | jina reranker v3.5 | ₽4.16/M | ₽4.16/M | ₽104 |
| Jina Search | jina search | ₽4.16/M | ₽4.16/M | ₽104 |
| Agnes 2.5 Flash | agnes 2.5 flash | ₽2.50/M | ₽12.49/M | ₽112 |
| Agnes 3.0 Flash | agnes 3.0 flash | ₽2.50/M | ₽12.49/M | ₽112 |
| Bce Reranker Base | bce reranker base | ₽5.66/M | ₽5.66/M | ₽113 |
| Cohere Rerank V4.0 Fast | cohere rerank v4.0 fast | ₽5.66/M | ₽5.66/M | ₽113 |
| Cohere Rerank V4.0 Pro | cohere rerank v4.0 pro | ₽5.66/M | ₽5.66/M | ₽113 |
| Embedding V1 | embedding 001 | ₽5.66/M | ₽5.66/M | ₽113 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽5.66/M | ₽5.66/M | ₽113 |
| qwen3-embedding-0.6b | Qwen | ₽5.66/M | ₽5.66/M | ₽113 |
| Qwen Turbo | Qwen | ₽3.83/M | ₽7.66/M | ₽115 |
| Qwen Flash | Qwen | ₽1.66/M | ₽16.65/M | ₽117 |
| Qwen3-VL Flash | alibaba | ₽1.71/M | ₽17.15/M | ₽120 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽4.16/M | ₽8.32/M | ₽125 |
| Groq Llama 3.1 8B Instant | groq llama 3.1 8b instant | ₽4.58/M | ₽7.33/M | ₽128 |
| Pro · THUDM · GLM-4.1V-9B-Thinking | Pro | ₽3.33/M | ₽13.32/M | ₽133 |
| Bge Large En | bge large en | ₽5.66/M | ₽5.66/M | ₽142 |
| Bge Large Zh | bge large zh | ₽5.66/M | ₽5.66/M | ₽142 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽5.66/M | ₽5.66/M | ₽142 |
| Tao 8K | tao 8k | ₽5.66/M | ₽5.66/M | ₽142 |
| Embedding 2 | embedding 2 | ₽5.71/M | ₽5.71/M | ₽143 |
| Embedding 3 | embedding 3 | ₽5.71/M | ₽5.71/M | ₽143 |
| Nvidia Nemotron Nano 9B V2 | nvidia nemotron nano 9b v2 | ₽3.66/M | ₽14.65/M | ₽147 |
| Doubao Lite 32K | Doubao lite 32k | ₽4.99/M | ₽9.99/M | ₽150 |
| Doubao Lite 4K | Doubao lite 4k | ₽4.99/M | ₽9.99/M | ₽150 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽4.99/M | ₽9.99/M | ₽150 |
| Doubao Seed 2.0 Mini 260428 | doubao seed 2 0 mini 260428 | ₽2.35/M | ₽23.48/M | ₽164 |
| Qwen3.5 Flash | alibaba | ₽2.35/M | ₽23.48/M | ₽164 |
| GLM 4 32B 0414 | THUDM | ₽6.66/M | ₽6.66/M | ₽166 |
| GLM Z1 32B 0414 | THUDM | ₽6.66/M | ₽6.66/M | ₽166 |
| Qwen2 7B Instruct | Qwen | ₽6.66/M | ₽6.66/M | ₽166 |
| Ling 3.0 Flash | ling 3.0 flash | ₽4.99/M | ₽14.98/M | ₽175 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽2.51/M | ₽25.09/M | ₽176 |
| CC GLM 4.6 | cc glm 4.6 | ₽4.99/M | ₽18.31/M | ₽191 |
| CC GLM 4.7 | cc glm 4.7 | ₽4.99/M | ₽18.31/M | ₽191 |
| CC GLM 5 | cc glm 5 | ₽4.99/M | ₽18.31/M | ₽191 |
| CC GLM 5 Turbo | cc glm 5 turbo | ₽4.99/M | ₽18.31/M | ₽191 |
| CC GLM 5.1 | cc glm 5.1 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 4.6 | coding glm 4.6 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 4.7 | coding glm 4.7 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5 | coding glm 5 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5 Turbo | coding glm 5 turbo | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5.1 | coding glm 5.1 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5.2 | coding glm 5.2 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding GLM 5.3 | coding glm 5.3 | ₽4.99/M | ₽18.31/M | ₽191 |
| Coding Xiaomi Mimo V2.5 | coding xiaomi mimo v2.5 | ₽6.66/M | ₽13.32/M | ₽200 |
| Coding Xiaomi Mimo V2.6 Flash | coding xiaomi mimo v2.6 flash | ₽6.66/M | ₽13.32/M | ₽200 |
| Embed V 4.0 | embed v 4 0 | ₽9.99/M | ₽9.99/M | ₽200 |
| Qianfan Ocr | qianfan ocr | ₽5.16/M | ₽20.64/M | ₽206 |
| CC MiniMax M2 | cc minimax m2 | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.1 | cc minimax m2.1 | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.5 | cc minimax m2.5 | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.5 Highspeed | cc minimax m2.5 highspeed | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.7 | cc minimax m2.7 | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M2.7 Highspeed | cc minimax m2.7 highspeed | ₽8.32/M | ₽8.32/M | ₽208 |
| CC MiniMax M3 | cc minimax m3 | ₽8.32/M | ₽8.32/M | ₽208 |
| DeepSeek Prover V2 671B | DeepSeek | ₽8.32/M | ₽8.32/M | ₽208 |
| DeepSeek R1 Distill Qwen 14B | DeepSeek | ₽8.32/M | ₽8.32/M | ₽208 |
| Doubao Embedding Large Text 240915 | doubao embedding large text 240915 | ₽8.32/M | ₽8.32/M | ₽208 |
| Gemma 7B It | gemma 7b it | ₽8.32/M | ₽8.32/M | ₽208 |
| GLM 4 Flash | glm 4 flash | ₽8.32/M | ₽8.32/M | ₽208 |
| GLM 4.1 Vision 9B Thinking | THUDM | ₽8.32/M | ₽8.32/M | ₽208 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽8.32/M | ₽8.32/M | ₽208 |
| Mm Minimax M2.7 Highspeed | mm minimax m2.7 highspeed | ₽8.32/M | ₽8.32/M | ₽208 |
| Text Embedding ADA | text embedding ada | ₽8.32/M | ₽8.32/M | ₽208 |
| Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 | deepinfra nvidia nemotron 3 nano 30b a3b2 | ₽5.49/M | ₽21.98/M | ₽220 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽5.49/M | ₽21.98/M | ₽220 |
| ERNIE 4.5 | ernie 4.5 | ₽5.66/M | ₽22.64/M | ₽226 |
| Ling Mini 2.0 | inclusionAI | ₽5.66/M | ₽22.64/M | ₽226 |
| gte rerank | gte rerank | ₽9.16/M | ₽9.16/M | ₽229 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽9.16/M | ₽9.16/M | ₽229 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽9.16/M | ₽9.16/M | ₽229 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽9.16/M | ₽9.16/M | ₽229 |
| Aihubmix Phi 4 Mini (reasoning) | AiHubmix Phi 4 mini reasoning | ₽9.99/M | ₽9.99/M | ₽250 |
| GPT-5 Nano | OpenAI | ₽4.16/M | ₽33.30/M | ₽250 |
| Laguna S 2.1 | laguna s 2.1 | ₽8.32/M | ₽16.65/M | ₽250 |
| Laguna Xs 2.1 | laguna xs 2.1 | ₽8.32/M | ₽16.65/M | ₽250 |
| Doubao Seed 1.6 Flash | doubao seed 1 6 flash | ₽3.66/M | ₽36.63/M | ₽256 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽3.66/M | ₽36.63/M | ₽256 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.83/M | ₽38.29/M | ₽268 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.83/M | ₽38.29/M | ₽268 |
| Qwen3 4B | qwen3 4b | ₽3.83/M | ₽38.29/M | ₽268 |
| text embedding 3 large | OpenAI | ₽10.82/M | ₽10.82/M | ₽271 |
| Qwen3.5-35B-A3B | Qwen | ₽4.70/M | ₽37.56/M | ₽282 |
| Deepinfra Llama 4 Scout 17B 16e Instruct | deepinfra llama 4 scout 17b 16e instruct | ₽7.33/M | ₽27.47/M | ₽284 |
| Gme Qwen2 VL 2B Instruct | gme qwen2 vl 2b instruct | ₽11.49/M | ₽11.49/M | ₽287 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽8.99/M | ₽22.48/M | ₽292 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽9.12/M | ₽22.81/M | ₽296 |
| Coding Xiaomi Mimo V2 Omni | coding xiaomi mimo v2 omni | ₽6.66/M | ₽33.30/M | ₽300 |
| Deepinfra Gemma 4 26B A4B It | deepinfra gemma 4 26b a4b it | ₽7.33/M | ₽32.05/M | ₽307 |
| Step 3.5 Flash | StepFun | ₽9.16/M | ₽27.47/M | ₽320 |
| Deepinfra Llama 3.3 70B Instant Turbo | deepinfra llama 3.3 70b instant turbo | ₽9.16/M | ₽29.30/M | ₽330 |
| DeepSeek Llm 67B Chat | DeepSeek | ₽13.32/M | ₽13.32/M | ₽333 |
| DeepSeek Vl2 | DeepSeek | ₽13.32/M | ₽13.32/M | ₽333 |
| gemini 2.5 flash lite | ₽8.32/M | ₽33.30/M | ₽333 | |
| Gemini Embedding 2 | ₽16.65/M | ₽16.65/M | ₽333 | |
| Gpt 4.1 Nano | OpenAI | ₽8.32/M | ₽33.30/M | ₽333 |
| Qwen Long | Qwen | ₽8.32/M | ₽33.30/M | ₽333 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽13.32/M | ₽13.32/M | ₽333 |
| Qwq 32b | Qwen | ₽13.32/M | ₽13.32/M | ₽333 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽8.56/M | ₽34.23/M | ₽342 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽8.56/M | ₽34.23/M | ₽342 |
| qwen3.8 flash | Qwen | ₽9.37/M | ₽31.64/M | ₽346 |
| Qwen3.8 Omni Flash | Qwen | ₽9.37/M | ₽31.64/M | ₽346 |
| Doubao Lite 128K | Doubao lite 128k | ₽11.65/M | ₽23.31/M | ₽350 |
| Glm 5.3 Flash | glm 5.3 flash | ₽9.38/M | ₽32.83/M | ₽352 |
| deepseek v4 flash | DeepSeek | ₽11.82/M | ₽23.64/M | ₽355 |
| Groq Llama 4 Scout 17B 16e Instruct | groq llama 4 scout 17b 16e instruct | ₽10.16/M | ₽30.47/M | ₽355 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽8.99/M | ₽35.96/M | ₽360 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽11.15/M | ₽27.89/M | ₽363 |
| ERNIE 4.5 Turbo | ERNIE 4.5 Turbo | ₽9.16/M | ₽36.63/M | ₽366 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽9.16/M | ₽36.63/M | ₽366 |
| Gpt 6 Luna | OpenAI | ₽8.32/M | ₽41.62/M | ₽375 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽7.53/M | ₽45.16/M | ₽376 |
| Doubao Seed 2.0 Lite 260428 | doubao seed 2 0 lite 260428 | ₽7.53/M | ₽45.16/M | ₽376 |
| Doubao Pro 32K | Doubao pro 32k | ₽11.65/M | ₽29.14/M | ₽379 |
| Doubao Pro 4K | Doubao pro 4k | ₽11.65/M | ₽29.14/M | ₽379 |
| MiMo-V2.5 | Xiaomi | ₽12.90/M | ₽25.81/M | ₽387 |
| MiMo-V2.6-Flash | Xiaomi | ₽12.90/M | ₽25.81/M | ₽387 |
| glm 4.6v | Z.ai | ₽11.40/M | ₽34.21/M | ₽399 |
| gemma 4 26b a4b it | ₽11.65/M | ₽33.30/M | ₽400 | |
| gemma 4 31b it | ₽11.65/M | ₽33.30/M | ₽400 | |
| Aihub Phi 4 | aihub Phi 4 | ₽9.99/M | ₽39.96/M | ₽400 |
| Aihub Phi 4 Mini Instruct | aihub Phi 4 mini instruct | ₽9.99/M | ₽39.96/M | ₽400 |
| Aihub Phi 4 Multimodal Instruct | aihub Phi 4 multimodal instruct | ₽9.99/M | ₽39.96/M | ₽400 |
| DeepSeek Coder V2 Instruct | DeepSeek | ₽13.32/M | ₽26.64/M | ₽400 |
| DeepSeek V2 Chat | DeepSeek | ₽13.32/M | ₽26.64/M | ₽400 |
| DeepSeek V2.5 | DeepSeek | ₽13.32/M | ₽26.64/M | ₽400 |
| Doubao Seed 1.6 Lite | doubao seed 1 6 lite | ₽6.83/M | ₽54.61/M | ₽410 |
| gpt oss 20b | OpenAI | ₽9.16/M | ₽45.78/M | ₽412 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽9.16/M | ₽45.78/M | ₽412 |
| CC Doubao Seed Code Preview | cc doubao seed code preview latest | ₽16.65/M | ₽16.65/M | ₽416 |
| CC K2.6 Code Preview | cc k2.6 code preview | ₽16.65/M | ₽16.65/M | ₽416 |
| CC Kimi For Coding | cc kimi for coding | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2 | coding minimax m2 | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.1 | coding minimax m2.1 | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.5 | coding minimax m2.5 | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.5 Highspeed | coding minimax m2.5 highspeed | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.7 | coding minimax m2.7 | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M2.7 Highspeed | coding minimax m2.7 highspeed | ₽16.65/M | ₽16.65/M | ₽416 |
| Coding MiniMax M3 | coding minimax m3 | ₽16.65/M | ₽16.65/M | ₽416 |
| DeepSeek R1 Distill Qwen 32B | DeepSeek | ₽16.65/M | ₽16.65/M | ₽416 |
| Doubao-Seed-Code | ByteDance | ₽16.65/M | ₽16.65/M | ₽416 |
| gemma 3 12b it | ₽16.65/M | ₽16.65/M | ₽416 | |
| Gemma 3 1B It | gemma 3 1b it | ₽16.65/M | ₽16.65/M | ₽416 |
| gemma 3 27b it | ₽16.65/M | ₽16.65/M | ₽416 | |
| Gemma 3 4B | ₽16.65/M | ₽16.65/M | ₽416 | |
| Gemma 3n E4B It | gemma 3n e4b it | ₽16.65/M | ₽16.65/M | ₽416 |
| Google Gemma 3 12B It | google gemma 3 12b it | ₽16.65/M | ₽16.65/M | ₽416 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽16.65/M | ₽16.65/M | ₽416 |
| Google Gemma 3 4B It | google gemma 3 4b it | ₽16.65/M | ₽16.65/M | ₽416 |
| Hunyuan Mt 7B | tencent | ₽16.65/M | ₽16.65/M | ₽416 |
| Llama 3.2 1B Preview | Meta | ₽16.65/M | ₽16.65/M | ₽416 |
| Llama 4 Maverick | Meta | ₽16.65/M | ₽16.65/M | ₽416 |
| Llama 4 Scout | Meta | ₽16.65/M | ₽16.65/M | ₽416 |
| Moonlight 16B A3B Instruct | MoonshotAI | ₽16.65/M | ₽16.65/M | ₽416 |
| Qwen2 1.5b Instruct | Qwen | ₽16.65/M | ₽16.65/M | ₽416 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽16.65/M | ₽16.65/M | ₽416 |
| Qwen3 8B | Qwen | ₽16.65/M | ₽16.65/M | ₽416 |
| Text Moderation | text moderation latest | ₽16.65/M | ₽16.65/M | ₽416 |
| Text Moderation 007 | text moderation 007 | ₽16.65/M | ₽16.65/M | ₽416 |
| Text Moderation Stable | text moderation stable | ₽16.65/M | ₽16.65/M | ₽416 |
| Qwen3.5-27B | Qwen | ₽7.04/M | ₽56.34/M | ₽423 |
| ERNIE X1 Turbo | ernie x1 turbo | ₽11.32/M | ₽45.29/M | ₽453 |
| ERNIE X1.1 Preview | ERNIE X1.1 Preview | ₽11.32/M | ₽45.29/M | ₽453 |
| Ling Flash 2.0 | inclusionAI | ₽11.32/M | ₽45.29/M | ₽453 |
| Qwen3 Coder Flash | Qwen | ₽11.32/M | ₽45.29/M | ₽453 |
| Ring Flash 2.0 | inclusionAI | ₽11.32/M | ₽45.29/M | ₽453 |
| qwen3.5 plus | qwen3.5 plus | ₽9.12/M | ₽54.74/M | ₽456 |
| DeepSeek R1 Distill Qianfan Llama 8B | DeepSeek | ₽11.40/M | ₽45.62/M | ₽456 |
| Kat Dev | kat dev | ₽11.40/M | ₽45.62/M | ₽456 |
| qwen3 coder next | Qwen | ₽11.40/M | ₽45.62/M | ₽456 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.49/M | ₽45.95/M | ₽460 |
| hunyuan a13b | hunyuan a13b | ₽11.65/M | ₽46.62/M | ₽466 |
| deepseek v4.1 flash | DeepSeek | ₽11.72/M | ₽46.88/M | ₽469 |
| Coding Xiaomi Mimo V2.5 Pro | coding xiaomi mimo v2.5 pro | ₽16.65/M | ₽33.30/M | ₽499 |
| Coding Xiaomi Mimo V2.6 Pro | coding xiaomi mimo v2.6 pro | ₽16.65/M | ₽33.30/M | ₽499 |
| GPT-4o Mini | OpenAI | ₽12.49/M | ₽49.95/M | ₽499 |
| GPT-4o mini Audio | OpenAI | ₽12.49/M | ₽49.95/M | ₽499 |
| Qwen2 57B A14B Instruct | Qwen | ₽19.98/M | ₽19.98/M | ₽499 |
| Qwen2.5 Coder 1.5b Instruct | qwen2.5 coder 1.5b instruct | ₽16.65/M | ₽33.30/M | ₽499 |
| Qwen2.5 Coder 7B | Qwen | ₽16.65/M | ₽33.30/M | ₽499 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽16.65/M | ₽33.30/M | ₽499 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽19.98/M | ₽19.98/M | ₽499 |
| DeepSeek V4 Flash Vision Exp | DeepSeek | ₽12.90/M | ₽51.61/M | ₽516 |
| Hy3 | Tencent | ₽14.15/M | ₽47.17/M | ₽519 |
| Longcat Flash Chat | LongCat Flash Chat | ₽11.65/M | ₽58.27/M | ₽524 |
| Qwen3 32B | Qwen | ₽13.32/M | ₽53.28/M | ₽533 |
| Grok 4 Fast | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4 Fast (reasoning) | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4.1 Fast | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4.1 Fast (reasoning) | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Qwen-MT Turbo | Qwen | ₽15.98/M | ₽44.53/M | ₽542 |
| Seed Oss 36B Instruct | ByteDance Seed | ₽16.65/M | ₽44.45/M | ₽555 |
| mimo v2 flash | xiaomi | ₽15.97/M | ₽47.90/M | ₽559 |
| Qwen3.5-122B-A10B | Qwen | ₽9.37/M | ₽74.99/M | ₽562 |
| Claude 3 Haiku | Anthropic | ₽22.89/M | ₽22.89/M | ₽572 |
| Coding Xiaomi Mimo V2 Pro | coding xiaomi mimo v2 pro | ₽16.65/M | ₽49.95/M | ₽583 |
| Gemini Pro | ₽16.65/M | ₽49.95/M | ₽583 | |
| GLM 4.5 Air | Z.ai | ₽11.65/M | ₽69.93/M | ₽583 |
| Qianfan Qi VL | qianfan qi vl | ₽16.65/M | ₽49.95/M | ₽583 |
| Chatglm_lite | chatglm_lite | ₽23.79/M | ₽23.79/M | ₽595 |
| CC DeepSeek V3 | cc deepseek v3 | ₽24.97/M | ₽24.97/M | ₽624 |
| Llama3 8B 8192(33) | llama3 8b 8192(33) | ₽24.97/M | ₽24.97/M | ₽624 |
| Llama3 8B Chat | Meta | ₽24.97/M | ₽24.97/M | ₽624 |
| Alicloud Deepseek V3.2 | alicloud deepseek v3.2 | ₽22.81/M | ₽34.21/M | ₽627 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽9.12/M | ₽91.23/M | ₽639 |
| Groq Llama 4 Maverick 17B 128e Instruct | groq llama 4 maverick 17b 128e instruct | ₽18.31/M | ₽54.94/M | ₽641 |
| Nvidia Nemotron Nano 12B V2 VL | nvidia nemotron nano 12b v2 vl | ₽18.31/M | ₽54.94/M | ₽641 |
| Mercury 2.5 | mercury 2.5 | ₽16.65/M | ₽62.43/M | ₽645 |
| Qwen Plus | Qwen | ₽9.37/M | ₽93.73/M | ₽656 |
| Aihubmix Command R 08 2024 | aihubmix command r 08 2024 | ₽16.65/M | ₽66.60/M | ₽666 |
| Command R | command r | ₽16.65/M | ₽66.60/M | ₽666 |
| Mistral Small 3.1 24B Instruct 2503 | Mistral | ₽16.65/M | ₽66.60/M | ₽666 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽16.65/M | ₽66.60/M | ₽666 |
| gpt oss 120b | OpenAI | ₽14.98/M | ₽74.92/M | ₽674 |
| qwen3.5 397b a17b | Qwen | ₽13.69/M | ₽82.11/M | ₽684 |
| deepseek v3.2 | DeepSeek | ₽25.14/M | ₽37.71/M | ₽691 |
| Qwen3 30B A3B | Qwen | ₽9.99/M | ₽99.89/M | ₽699 |
| MiniMax Text 01 | MiniMax Text 01 | ₽11.65/M | ₽93.23/M | ₽699 |
| qwen3.6 flash | Qwen | ₽14.07/M | ₽84.41/M | ₽703 |
| Grok 3 Mini | xAI | ₽24.97/M | ₽41.71/M | ₽708 |
| Qianfan Llama VL 8B | qianfan llama vl 8b | ₽22.81/M | ₽57.02/M | ₽741 |
| Aihubmix Llama 3.1 8B Instruct | aihubmix Llama 3 1 8B Instruct | ₽24.97/M | ₽49.95/M | ₽749 |
| Llama 3.1 8B Instant | Meta | ₽24.97/M | ₽49.95/M | ₽749 |
| Llama3.1 8B | llama3.1 8b | ₽24.97/M | ₽49.95/M | ₽749 |
| Qwen2 VL 7B Instruct | Qwen2 VL 7B Instruct | ₽23.31/M | ₽58.27/M | ₽758 |
| GLM 4.5V | Z.ai | ₽22.81/M | ₽68.43/M | ₽798 |
| Qwen3-VL Plus | alibaba | ₽11.40/M | ₽114/M | ₽798 |
| Aihubmix Llama 3.2 11B Vision | aihubmix Llama 3 2 11B Vision | ₽33.30/M | ₽33.30/M | ₽832 |
| Gpt 5.6 Luna | OpenAI | ₽16.65/M | ₽99.89/M | ₽832 |
| MythoMax 13B | gryphe | ₽33.30/M | ₽33.30/M | ₽832 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽33.30/M | ₽33.30/M | ₽832 |
| Text Ada 001 | text ada 001 | ₽33.30/M | ₽33.30/M | ₽832 |
| Gpt 5.4 Nano | OpenAI | ₽16.65/M | ₽104/M | ₽853 |
| DeepSeek V3 | DeepSeek | ₽22.64/M | ₽90.57/M | ₽906 |
| GLM 4.6 | Z.ai | ₽22.81/M | ₽91.23/M | ₽912 |
| Glm 4.7 | glm 4.7 | ₽22.81/M | ₽91.23/M | ₽912 |
| Bai Qwen3 VL 235B A22B Instruct | bai qwen3 vl 235b a22b instruct | ₽22.81/M | ₽91.24/M | ₽912 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽22.81/M | ₽91.24/M | ₽912 |
| Step 3.7 Flash | StepFun | ₽18.31/M | ₽110/M | ₽916 |
| Qwen3 14B | Qwen | ₽13.32/M | ₽133/M | ₽932 |
| qwen3 235b a22b | Qwen | ₽23.31/M | ₽93.23/M | ₽932 |
| Qwen3 235B A22B Instruct | alibaba | ₽23.31/M | ₽93.23/M | ₽932 |
| qwen3.7 plus | Qwen | ₽23.48/M | ₽93.90/M | ₽939 |
| Alicloud Minimax M2.5 | alicloud minimax m2.5 | ₽23.94/M | ₽95.77/M | ₽958 |
| MiniMax M2.1 | MiniMax | ₽23.97/M | ₽95.90/M | ₽959 |
| MiniMax M2.5 | MiniMax | ₽23.97/M | ₽95.90/M | ₽959 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽23.97/M | ₽95.90/M | ₽959 |
| minimax m3 | MiniMax | ₽23.97/M | ₽95.90/M | ₽959 |
| qwen3.8 max | Qwen | ₽28.14/M | ₽84.41/M | ₽985 |
| minimax m2.7 | MiniMax | ₽24.62/M | ₽98.50/M | ₽985 |
| gemini 2.5 flash image | ₽24.97/M | ₽99.89/M | ₽999 | |
| Qwen Qwq 32B | Qwen | ₽33.30/M | ₽66.60/M | ₽999 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽33.30/M | ₽66.60/M | ₽999 |
| Solar Pro4 | solar pro4 | ₽24.97/M | ₽99.89/M | ₽999 |
| Gemini 3.1 Flash Lite | ₽20.81/M | ₽125/M | ₽1 041 | |
| gemini 3.1 flash lite image | ₽20.81/M | ₽125/M | ₽1 041 | |
| Gemini 2.5 Flash Preview Tts | ₽41.62/M | ₽41.62/M | ₽1 041 | |
| Llama 3_1 Nemotron Ultra 253B V1 | NVIDIA | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Llama 3.2 90B Vision Preview | Meta | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Llama2 70B 40960 | llama2 70b 40960 | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Text Babbage 001 | text babbage 001 | ₽41.62/M | ₽41.62/M | ₽1 041 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽14.98/M | ₽150/M | ₽1 049 |
| Qwen 3 235B A22B Instruct 2507 | Qwen | ₽23.31/M | ₽117/M | ₽1 049 |
| qwen3.6 35b a3b | Qwen | ₽21.14/M | ₽127/M | ₽1 057 |
| CC ERNIE 4.5 300B A47B | cc ernie 4.5 300b a47b | ₽26.64/M | ₽107/M | ₽1 066 |
| CC Kimi Dev 72B | cc kimi dev 72b | ₽26.64/M | ₽107/M | ₽1 066 |
| ERNIE 4.5 300B A47B | baidu | ₽26.64/M | ₽107/M | ₽1 066 |
| Kimi Dev 72B | MoonshotAI | ₽26.64/M | ₽107/M | ₽1 066 |
| Deepinfra Llama 4 Maverick 17B 128e Instruct | deepinfra llama 4 maverick 17b 128e instruct | ₽27.47/M | ₽110/M | ₽1 099 |
| Agnes 2.5 Pro | agnes 2.5 pro | ₽37.46/M | ₽74.92/M | ₽1 124 |
| Glm 5.3 Flashx | glm 5.3 flashx | ₽30.80/M | ₽104/M | ₽1 136 |
| Meta Llama 3 8B | Meta | ₽45.62/M | ₽45.62/M | ₽1 140 |
| qwen3 235b a22b 2507 | Qwen | ₽29.14/M | ₽117/M | ₽1 165 |
| Aihubmix Codestral 2501 | aihubmix Codestral 2501 | ₽33.30/M | ₽99.89/M | ₽1 165 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽33.30/M | ₽99.89/M | ₽1 165 |
| Mistral Codestral | Mistral | ₽33.30/M | ₽99.89/M | ₽1 165 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽33.30/M | ₽99.89/M | ₽1 165 |
| Qwen3.6 Plus | Qwen | ₽23.48/M | ₽141/M | ₽1 174 |
| MiMo-V2.5-Pro | Xiaomi | ₽39.96/M | ₽79.92/M | ₽1 199 |
| MiMo-V2.6-Pro | Xiaomi | ₽39.96/M | ₽79.92/M | ₽1 199 |
| GPT-5 Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| GPT-5.1-Codex-Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| Cerebras Llama 3.3 70B | cerebras llama 3.3 70b | ₽49.95/M | ₽49.95/M | ₽1 249 |
| DeepSeek R1 Distill Llama 70B | DeepSeek | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Llama 3.1 70B Versatile | Meta | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Llama 3.3 70B | Meta | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Qwen Max | Qwen | ₽31.63/M | ₽127/M | ₽1 265 |
| Aihubmix Llama 3.1 70B Instruct | aihubmix Llama 3 1 70B Instruct | ₽49.95/M | ₽64.93/M | ₽1 324 |
| Ahm Phi 3.5 Moe Instruct | ahm Phi 3 5 MoE instruct | ₽33.30/M | ₽133/M | ₽1 332 |
| Ahm Phi 3.5 Vision Instruct | ahm Phi 3 5 vision instruct | ₽33.30/M | ₽133/M | ₽1 332 |
| Aihubmix Router | aihubmix router | ₽33.30/M | ₽133/M | ₽1 332 |
| GLM 4.5 | Z.ai | ₽33.30/M | ₽133/M | ₽1 332 |
| Gpt 4.1 Mini | OpenAI | ₽33.30/M | ₽133/M | ₽1 332 |
| Qwen 3 32B | Qwen | ₽33.30/M | ₽133/M | ₽1 332 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽38.29/M | ₽115/M | ₽1 340 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽14.98/M | ₽210/M | ₽1 349 |
| qwen3.8 27b | Qwen | ₽16.65/M | ₽208/M | ₽1 374 |
| Coding Kimi K3 | coding kimi k3 | ₽36.63/M | ₽134/M | ₽1 404 |
| Qwen-MT Plus | Qwen | ₽40.96/M | ₽123/M | ₽1 433 |
| Groq Llama 3.3 70B Versatile | groq llama 3.3 70b versatile | ₽54.03/M | ₽72.34/M | ₽1 442 |
| Aihubmix Llama 3 70B Instruct | aihubmix Llama 3 70B Instruct | ₽58.27/M | ₽58.27/M | ₽1 457 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽58.27/M | ₽58.27/M | ₽1 457 |
| gpt 3.5 turbo | OpenAI | ₽41.62/M | ₽125/M | ₽1 457 |
| Mistral Large 3 | Mistral | ₽41.62/M | ₽125/M | ₽1 457 |
| GLM 3 Turbo | glm 3 turbo | ₽59.10/M | ₽59.10/M | ₽1 478 |
| Alicloud Glm 4.7 | alicloud glm 4.7 | ₽34.21/M | ₽160/M | ₽1 482 |
| Chatglm_std | chatglm_std | ₽59.47/M | ₽59.47/M | ₽1 487 |
| Chatglm_turbo | chatglm_turbo | ₽59.47/M | ₽59.47/M | ₽1 487 |
| Aihubmix Mistral Medium | AiHubmix mistral medium | ₽33.30/M | ₽166/M | ₽1 498 |
| Qwen3 Max | qwen3 max | ₽37.53/M | ₽150/M | ₽1 501 |
| Gemini 2.5 Flash | ₽24.97/M | ₽208/M | ₽1 540 | |
| Gemini 3.5 Flash Lite | ₽24.97/M | ₽208/M | ₽1 540 | |
| Llama3 70B 8192 | llama3 70b 8192 | ₽58.27/M | ₽78.02/M | ₽1 556 |
| Doubao Seed 2.1 Turbo | doubao seed 2 1 turbo | ₽35.18/M | ₽176/M | ₽1 583 |
| Qwen 3 235B A22B Thinking 2507 | Qwen | ₽23.31/M | ₽233/M | ₽1 632 |
| CC DeepSeek V3.1 | cc deepseek v3.1 | ₽46.62/M | ₽140/M | ₽1 632 |
| deepseek v3.1 | DeepSeek | ₽46.62/M | ₽140/M | ₽1 632 |
| mimo v2 omni | mimo v2 omni | ₽36.63/M | ₽183/M | ₽1 648 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽56.94/M | ₽102/M | ₽1 651 |
| Gemma 2 27B | ₽66.60/M | ₽66.60/M | ₽1 665 | |
| qwen 2.5 72b instruct | Qwen | ₽66.60/M | ₽66.60/M | ₽1 665 |
| Qwen2 72B Instruct | Qwen | ₽66.60/M | ₽66.60/M | ₽1 665 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽66.60/M | ₽66.60/M | ₽1 665 |
| Azure Deepseek V3.2 | azure deepseek v3.2 | ₽48.28/M | ₽140/M | ₽1 665 |
| Azure Deepseek V3.2 Speciale | azure deepseek v3.2 speciale | ₽48.28/M | ₽140/M | ₽1 665 |
| Qianfan Chinese Llama 2 13B | qianfan chinese llama 2 13b | ₽68.43/M | ₽68.43/M | ₽1 711 |
| qwen3.6 27b | Qwen | ₽35.13/M | ₽211/M | ₽1 756 |
| Kimi K2 0711 | MoonshotAI | ₽44.95/M | ₽180/M | ₽1 798 |
| qwen3 coder plus | Qwen | ₽44.95/M | ₽180/M | ₽1 798 |
| doubao seed 2.0 code | doubao seed 2.0 code | ₽40.14/M | ₽201/M | ₽1 806 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽40.14/M | ₽201/M | ₽1 806 |
| Alicloud Kimi K2 Instruct | alicloud kimi k2 instruct | ₽45.62/M | ₽182/M | ₽1 825 |
| CC Kimi K2 Instruct | cc kimi k2 instruct | ₽45.62/M | ₽182/M | ₽1 825 |
| Ling 1t | inclusionAI | ₽45.62/M | ₽182/M | ₽1 825 |
| Ring 1t | inclusionAI | ₽45.62/M | ₽182/M | ₽1 825 |
| Sf Kimi K2 Thinking | sf kimi k2 thinking | ₽45.62/M | ₽182/M | ₽1 825 |
| Aihubmix Cohere Command R | aihubmix Cohere command r | ₽53.28/M | ₽160/M | ₽1 865 |
| Wizardcoder Python 34B V1.0 | WizardLM | ₽74.92/M | ₽74.92/M | ₽1 873 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽66.60/M | ₽120/M | ₽1 931 |
| Doubao Pro 128K | Doubao pro 128k | ₽66.60/M | ₽120/M | ₽1 931 |
| Doubao Pro 256K | Doubao pro 256k | ₽66.60/M | ₽120/M | ₽1 931 |
| Alicloud Glm 5 | alicloud glm 5 | ₽46.90/M | ₽211/M | ₽1 993 |
| ERNIE 5.1 | ernie 5.1 | ₽46.90/M | ₽211/M | ₽1 993 |
| deepseek r1 distill llama 70b | DeepSeek | ₽66.60/M | ₽133/M | ₽1 998 |
| MiniMax M1 80K | MiniMaxAI | ₽49.95/M | ₽200/M | ₽1 998 |
| Deepseek V4 Pro | DeepSeek | ₽57.59/M | ₽173/M | ₽2 016 |
| Doubao 1.5 Thinking Pro | Doubao 1.5 thinking pro | ₽51.61/M | ₽206/M | ₽2 064 |
| gemini 3 flash | ₽41.62/M | ₽250/M | ₽2 081 | |
| Gemini 2.5 Pro Preview Tts | ₽83.25/M | ₽83.25/M | ₽2 081 | |
| Gemini 3.8 Flash Lite TTS | ₽83.25/M | ₽83.25/M | ₽2 081 | |
| Gemini Pro Vision | ₽83.25/M | ₽83.25/M | ₽2 081 | |
| Kimi K2.5 | MoonshotAI | ₽49.95/M | ₽250/M | ₽2 248 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽66.60/M | ₽200/M | ₽2 331 |
| Hy4 preview | Tencent | ₽70.34/M | ₽211/M | ₽2 462 |
| GLM 5V Turbo | Z.ai | ₽58.62/M | ₽258/M | ₽2 462 |
| Command | command | ₽83.25/M | ₽166/M | ₽2 497 |
| Command Light | command light | ₽83.25/M | ₽166/M | ₽2 497 |
| Command Light Nightly | command light nightly | ₽83.25/M | ₽166/M | ₽2 497 |
| Command Nightly | command nightly | ₽83.25/M | ₽166/M | ₽2 497 |
| GPT 3.5 Turbo 1106 | OpenAI | ₽83.25/M | ₽166/M | ₽2 497 |
| Grok Build 0.1 | xAI | ₽83.25/M | ₽166/M | ₽2 497 |
| Grok Code Fast 1 | xAI | ₽83.25/M | ₽166/M | ₽2 497 |
| Qvq 72B Preview | Qwen | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Qwen 3.8 27B | Qwen | ₽91.57/M | ₽137/M | ₽2 518 |
| Longcat 2.0 | longcat 2.0 | ₽64.48/M | ₽258/M | ₽2 579 |
| qwen3 coder 480b a35b 07 25 | Qwen | ₽68.26/M | ₽273/M | ₽2 730 |
| ERNIE 5.0 | ernie 5.0 | ₽68.42/M | ₽274/M | ₽2 737 |
| Nvidia Llama 3.1 Nemotron 70B Instruct | nvidia llama 3.1 nemotron 70b instruct | ₽110/M | ₽110/M | ₽2 747 |
| Gemini 3.7 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| Gemini 3.8 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| Glm 5.1 | glm 5.1 | ₽70.34/M | ₽281/M | ₽2 814 |
| Ahm Phi 3 Medium 4K | ahm Phi 3 medium 4k | ₽83.25/M | ₽250/M | ₽2 914 |
| Ahm Phi 3 Small 128K | ahm Phi 3 small 128k | ₽83.25/M | ₽250/M | ₽2 914 |
| Ahm Phi 3.5 Mini Instruct | ahm Phi 3 5 mini instruct | ₽83.25/M | ₽250/M | ₽2 914 |
| Chatglm_pro | chatglm_pro | ₽119/M | ₽119/M | ₽2 973 |
| Step3 | stepfun ai | ₽91.57/M | ₽229/M | ₽2 976 |
| L3.1 Euryale 70B | l3.1 euryale 70b | ₽123/M | ₽123/M | ₽3 080 |
| Step 5 Preview | step 5 preview | ₽89.91/M | ₽257/M | ₽3 084 |
| Claude Instant 1.2 | Anthropic | ₽73.26/M | ₽330/M | ₽3 113 |
| Gpt 5.4 Mini | OpenAI | ₽62.43/M | ₽375/M | ₽3 122 |
| grok 4.3 | xAI | ₽104/M | ₽208/M | ₽3 122 |
| Doubao Seed 2.1 Pro | doubao seed 2 1 pro | ₽70.34/M | ₽352/M | ₽3 165 |
| mimo v2 pro | mimo v2 pro | ₽91.57/M | ₽275/M | ₽3 205 |
| Kimi K2.6 | kimi k2.6 | ₽79.08/M | ₽333/M | ₽3 246 |
| Kimi K2.7 Code | kimi k2.7 code | ₽79.08/M | ₽333/M | ₽3 246 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 2.0 Mini 260615 | doubao seedance 2 0 mini 260615 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedance 2.5 260628 | doubao seedance 2 5 260628 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedream 4.0 | doubao seedream 4 0 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedream 4.5 | doubao seedream 4 5 | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedream 5.0 Lite | doubao seedream 5.0 lite | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seedream 5.0 Pro | doubao seedream 5.0 pro | ₽166/M | ₽166/M | ₽3 330 |
| ERNIE Image Turbo | ernie image turbo | ₽166/M | ₽166/M | ₽3 330 |
| flux 2 flex | Black Forest Labs | ₽166/M | ₽166/M | ₽3 330 |
| flux 2 pro | Black Forest Labs | ₽166/M | ₽166/M | ₽3 330 |
| Flux Kontext Max | Black Forest Labs | ₽166/M | ₽166/M | ₽3 330 |
| Fx Flux 2 Pro | fx flux 2 pro | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.0 I2v | happyhorse 1.0 i2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.0 R2v | happyhorse 1.0 r2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.0 T2v | happyhorse 1.0 t2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.1 I2v | happyhorse 1.1 i2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.1 R2v | happyhorse 1.1 r2v | ₽166/M | ₽166/M | ₽3 330 |
| Happyhorse 1.1 T2v | happyhorse 1.1 t2v | ₽166/M | ₽166/M | ₽3 330 |
| Kling V3 Omni | kling v3 omni | ₽166/M | ₽166/M | ₽3 330 |
| Kling Video O1 | kling video o1 | ₽166/M | ₽166/M | ₽3 330 |
| Musesteamer Air Image | musesteamer air image | ₽166/M | ₽166/M | ₽3 330 |
| Paddleocr VL 0.9b | paddleocr vl 0.9b | ₽166/M | ₽166/M | ₽3 330 |
| Pp Structurev3 | pp structurev3 | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image 2.0 | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image 2.0 Pro | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image 3.0 | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image 3.0 Pro | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image Edit | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| Qwen Image Max | Qwen | ₽166/M | ₽166/M | ₽3 330 |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽166/M | ₽166/M | ₽3 330 |
| Veo 3.1 Lite | ₽166/M | ₽166/M | ₽3 330 | |
| Wan 2.2 I2V Plus | alibaba | ₽166/M | ₽166/M | ₽3 330 |
| Wan 2.5 I2V Preview | alibaba | ₽166/M | ₽166/M | ₽3 330 |
| Wan 2.5 T2V Preview | alibaba | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.6 I2v | wan2.6 i2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.6 T2i | wan2.6 t2i | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.6 T2v | wan2.6 t2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.7 I2v | wan2.7 i2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.7 R2v | wan2.7 r2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.7 T2v | wan2.7 t2v | ₽166/M | ₽166/M | ₽3 330 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽166/M | ₽166/M | ₽3 330 |
| Doubao Seed 2.1 Pro 260628 | doubao seed 2 1 pro 260628 | ₽77.38/M | ₽387/M | ₽3 482 |
| Glm 5.2 | glm 5.2 | ₽93.80/M | ₽328/M | ₽3 518 |
| Glm 5.3 | glm 5.3 | ₽93.80/M | ₽328/M | ₽3 518 |
| Mai Image 2.5 Flash | mai image 2.5 flash | ₽146/M | ₽146/M | ₽3 642 |
| Mai Image 2.6 Flash | mai image 2.6 flash | ₽146/M | ₽146/M | ₽3 642 |
| glm 5 turbo | Z.ai | ₽99.89/M | ₽333/M | ₽3 663 |
| Zai Glm 5 Turbo | zai glm 5 turbo | ₽99.89/M | ₽333/M | ₽3 663 |
| O3 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O4 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| GLM 4.5 Airx | glm 4.5 airx | ₽91.57/M | ₽375/M | ₽3 709 |
| Claude Instant 1 | Anthropic | ₽149/M | ₽149/M | ₽3 731 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽99.89/M | ₽400/M | ₽3 996 |
| Claude Haiku 4.5 | Anthropic | ₽91.57/M | ₽458/M | ₽4 121 |
| Agnes Image 2.1 Flash | agnes image 2.1 flash | ₽166/M | ₽166/M | ₽4 162 |
| Auto | auto | ₽166/M | ₽166/M | ₽4 162 |
| Davinci | davinci | ₽166/M | ₽166/M | ₽4 162 |
| Describe | DESCRIBE | ₽166/M | ₽166/M | ₽4 162 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽166/M | ₽166/M | ₽4 162 |
| Flux 1.1 Pro | Black Forest Labs | ₽166/M | ₽166/M | ₽4 162 |
| Gemini | ₽104/M | ₽416/M | ₽4 162 | |
| Gemini | ₽104/M | ₽416/M | ₽4 162 | |
| Gemini | ₽104/M | ₽416/M | ₽4 162 | |
| gemini 2.5 pro | ₽104/M | ₽416/M | ₽4 162 | |
| GLM 4 Vision Plus | glm 4v plus | ₽166/M | ₽166/M | ₽4 162 |
| Glm Image | thudm | ₽166/M | ₽166/M | ₽4 162 |
| GLM Zero Preview | glm zero preview | ₽166/M | ₽166/M | ₽4 162 |
| Hy 3d 3.1 | hy 3d 3.1 | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 | imagen 4.0 | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 Ultra | imagen 4.0 ultra | ₽166/M | ₽166/M | ₽4 162 |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| Janus Pro 7B | DeepSeek | ₽166/M | ₽166/M | ₽4 162 |
| Learnlm 1.5 Pro Experimental | learnlm 1.5 pro experimental | ₽104/M | ₽416/M | ₽4 162 |
| MiniMax H3 | minimax h3 | ₽166/M | ₽166/M | ₽4 162 |
| MiniMax H3 Max | minimax h3 max | ₽166/M | ₽166/M | ₽4 162 |
| Moonshot V1 8K | moonshot v1 8k | ₽166/M | ₽166/M | ₽4 162 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽166/M | ₽166/M | ₽4 162 |
| Sora 2 | Sora 2 | ₽166/M | ₽166/M | ₽4 162 |
| Sora 2 Pro | sora 2 pro | ₽166/M | ₽166/M | ₽4 162 |
| Step 2 16K | step 2 16k | ₽166/M | ₽166/M | ₽4 162 |
| Text Curie 001 | text curie 001 | ₽166/M | ₽166/M | ₽4 162 |
| Upscale | UPSCALE | ₽166/M | ₽166/M | ₽4 162 |
| V_1 | V_1 | ₽166/M | ₽166/M | ₽4 162 |
| V_1_turbo | V_1_TURBO | ₽166/M | ₽166/M | ₽4 162 |
| V_2 | V_2 | ₽166/M | ₽166/M | ₽4 162 |
| V_2_turbo | V_2_TURBO | ₽166/M | ₽166/M | ₽4 162 |
| V_2a | V_2A | ₽166/M | ₽166/M | ₽4 162 |
| V_2a_turbo | V_2A_TURBO | ₽166/M | ₽166/M | ₽4 162 |
| V3 | V3 | ₽166/M | ₽166/M | ₽4 162 |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽166/M | ₽166/M | ₽4 162 |
| Wan 2.7 Image | alibaba | ₽166/M | ₽166/M | ₽4 162 |
| Wan 2.7 Image Pro | alibaba | ₽166/M | ₽166/M | ₽4 162 |
| Wan 3.0 Video | alibaba | ₽166/M | ₽166/M | ₽4 162 |
| Wan3.0 Video Prime | wan3.0 video prime | ₽166/M | ₽166/M | ₽4 162 |
| Cloudflare Glm 5.2 | cloudflare glm 5.2 | ₽117/M | ₽366/M | ₽4 162 |
| Muse Spark 1.1 | Meta | ₽114/M | ₽389/M | ₽4 235 |
| Muse Spark 1.2 | Meta | ₽114/M | ₽389/M | ₽4 235 |
| Muse Spark 1.3 | Meta | ₽114/M | ₽389/M | ₽4 235 |
| Gemini 3.8 Flash TTS | ₽41.62/M | ₽749/M | ₽4 578 | |
| DeepSeek R1 Zero | DeepSeek | ₽183/M | ₽183/M | ₽4 578 |
| Cbs Glm 4.7 | cbs glm 4.7 | ₽187/M | ₽229/M | ₽4 891 |
| qwen3.7 max | Qwen | ₽141/M | ₽422/M | ₽4 924 |
| codex mini | codex mini | ₽125/M | ₽499/M | ₽4 995 |
| Aihubmix Llama 3.2 90B Vision | aihubmix Llama 3 2 90B Vision | ₽200/M | ₽200/M | ₽4 995 |
| Qwen3.6 Max | qwen3.6 max | ₽106/M | ₽633/M | ₽5 278 |
| Llama3 70B 8192(33) | llama3 70b 8192(33) | ₽221/M | ₽221/M | ₽5 515 |
| Gemini 3.6 Flash | ₽125/M | ₽624/M | ₽5 619 | |
| Aihubmix Mistral Large 2411 | aihubmix Mistral Large 2411 | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4 20 (reasoning) | xAI | ₽166/M | ₽499/M | ₽5 827 |
| grok 4.20 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.20 Beta 0309 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.20 Beta 0309 (reasoning) | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.20 Multi-Agent | xAI | ₽166/M | ₽499/M | ₽5 827 |
| grok 4.5 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.6 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Qwen3.8 2.4T A95B | Qwen | ₽166/M | ₽499/M | ₽5 827 |
| gpt 4o mini tts | OpenAI | ₽49.95/M | ₽999/M | ₽5 994 |
| Gemini 3.5 Flash | ₽125/M | ₽749/M | ₽6 243 | |
| gpt 5 codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Gpt 5.1 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 Chat | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1 Chat | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex-Max | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽181/M | ₽544/M | ₽6 352 |
| Grok 4.7 | xAI | ₽183/M | ₽549/M | ₽6 410 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽158/M | ₽666/M | ₽6 493 |
| Gpt 4.1 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| GPT-3.5 Turbo 16k | OpenAI | ₽250/M | ₽333/M | ₽6 660 |
| Mai Thinking 1 | mai thinking 1 | ₽166/M | ₽666/M | ₽6 660 |
| O3 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| Grok 2 1212 | xAI | ₽150/M | ₽749/M | ₽6 743 |
| Grok 2 Vision 1212 | xAI | ₽150/M | ₽749/M | ₽6 743 |
| Aihubmix Jamba 1.5 Large | aihubmix Jamba 1 5 Large | ₽183/M | ₽733/M | ₽7 326 |
| GLM 4.5 X | glm 4.5 x | ₽183/M | ₽742/M | ₽7 371 |
| Claude Sonnet 5 | Anthropic | ₽166/M | ₽832/M | ₽7 492 |
| Claude Sonnet 5.5 | Anthropic | ₽166/M | ₽832/M | ₽7 492 |
| Gpt 6 Sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| gpt 6.1 sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| Gemini 3.1 Pro | ₽166/M | ₽999/M | ₽8 325 | |
| Gemini 3.1 Pro Preview Custom Tools | ₽166/M | ₽999/M | ₽8 325 | |
| Gpt 5.6 Terra | OpenAI | ₽166/M | ₽999/M | ₽8 325 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽166/M | ₽999/M | ₽8 325 | |
| Command A | Cohere | ₽208/M | ₽832/M | ₽8 325 |
| Command A+ | Cohere | ₽208/M | ₽832/M | ₽8 325 |
| GPT 4o Audio Preview | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt 4o transcribe diarize | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| GPT 4o Zh | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt audio 1.5 | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| GPT-4o | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| Llama 3.1 405B (reasoning) | Meta | ₽333/M | ₽333/M | ₽8 325 |
| Moonshot V1 32K | moonshot v1 32k | ₽333/M | ₽333/M | ₽8 325 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽333/M | ₽333/M | ₽8 325 |
| Stable Diffusion 3.5 Large | Stable Diffusion 3 5 Large | ₽333/M | ₽333/M | ₽8 325 |
| Aihubmix Mistral Large 2407 | aihubmix Mistral large 2407 | ₽250/M | ₽749/M | ₽8 741 |
| Gpt 5.2 | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT 5.2 High | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT 5.2 Low | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| gpt 5.3 codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2 Chat | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2-Codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.3 Chat | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| Mistral Large 2407 | Mistral | ₽250/M | ₽749/M | ₽8 741 |
| Aihubmix Command R Plus | aihubmix command r plus | ₽233/M | ₽932/M | ₽9 323 |
| Command R Plus | command r plus | ₽233/M | ₽932/M | ₽9 323 |
| Meta Llama 3 70B | Meta | ₽399/M | ₽399/M | ₽9 979 |
| Computer Use Preview | computer use preview | ₽250/M | ₽999/M | ₽9 989 |
| o1 mini | OpenAI | ₽250/M | ₽999/M | ₽9 989 |
| Gpt 5.4 | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| GPT 5.4 High | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| GPT 5.4 Low | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| MAI Image 2.5 Pro (Text to Image) | microsoft | ₽416/M | ₽416/M | ₽10 406 |
| Mai Image 2.5 Text to Image | microsoft | ₽416/M | ₽416/M | ₽10 406 |
| Mai Image 2.6 | mai image 2.6 | ₽416/M | ₽416/M | ₽10 406 |
| Claude Sonnet 4.6 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Grok 3 | xAI | ₽250/M | ₽1 249/M | ₽11 238 |
| Kimi K3 | kimi k3 | ₽250/M | ₽1 249/M | ₽11 238 |
| Distil Whisper Large V3 En | distil whisper large v3 en | ₽463/M | ₽463/M | ₽11 563 |
| Whisper Large V3 Turbo | OpenAI | ₽463/M | ₽463/M | ₽11 563 |
| Aihubmix Mistral Large | aihubmix Mistral large | ₽333/M | ₽999/M | ₽11 654 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽400/M | ₽799/M | ₽11 987 |
| Claude Sonnet 4.5 | Anthropic | ₽275/M | ₽1 374/M | ₽12 362 |
| Grok 4 | xAI | ₽275/M | ₽1 374/M | ₽12 362 |
| Sonnet 3 | Anthropic | ₽275/M | ₽1 374/M | ₽12 362 |
| gpt image 1.5 | OpenAI | ₽416/M | ₽832/M | ₽12 487 |
| Aihubmix Llama 3.1 405B Instruct | aihubmix Llama 3 1 405B Instruct | ₽416/M | ₽1 249/M | ₽14 568 |
| Claude Opus 5 5 | Anthropic | ₽333/M | ₽1 665/M | ₽14 984 |
| Gpt 5.6 Sol | OpenAI | ₽333/M | ₽1 665/M | ₽14 984 |
| GPT 5.6 Sol Disc | OpenAI | ₽333/M | ₽1 665/M | ₽14 984 |
| Grok Vision Beta | xAI | ₽466/M | ₽1 399/M | ₽16 316 |
| GPT Realtime 2.1 | OpenAI | ₽333/M | ₽1 998/M | ₽16 649 |
| GLM 4 Plus | glm 4 plus | ₽666/M | ₽666/M | ₽16 649 |
| Ahm Phi 3 Medium 128K | ahm Phi 3 medium 128k | ₽499/M | ₽1 498/M | ₽17 482 |
| Claude 2 | Anthropic | ₽733/M | ₽733/M | ₽18 314 |
| Anthropic Opus 4.6 | anthropic opus 4 6 | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4 8 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4.5 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4.6 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4.7 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 5 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Qwen Max Longcontext | Qwen | ₽583/M | ₽1 748/M | ₽20 395 |
| Gpt 5.5 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| GPT Chat Latest | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2.5 flare | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2.5 sunburst | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| Cogview 3 Plus | cogview 3 plus | ₽832/M | ₽832/M | ₽20 811 |
| Moonshot V1 128K | moonshot v1 128k | ₽832/M | ₽832/M | ₽20 811 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽832/M | ₽832/M | ₽20 811 |
| gpt image 1 | OpenAI | ₽416/M | ₽3 330/M | ₽24 974 |
| gpt image 1 mini | OpenAI | ₽416/M | ₽3 330/M | ₽24 974 |
| GPT Image Test | OpenAI | ₽416/M | ₽3 330/M | ₽24 974 |
| GPT 4 1106 Preview | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| gpt 4 turbo | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| GLM 4 | glm 4 | ₽1 182/M | ₽1 182/M | ₽29 552 |
| GLM 4 Vision | glm 4v | ₽1 182/M | ₽1 182/M | ₽29 552 |
| Qwen Audio 3.0 Tts Flash | Qwen | ₽1 182/M | ₽1 182/M | ₽29 552 |
| gpt 5.6 sol pro | OpenAI | ₽666/M | ₽3 330/M | ₽29 968 |
| Claude 2.0 | Anthropic | ₽733/M | ₽3 297/M | ₽31 134 |
| Claude 2.1 | Anthropic | ₽733/M | ₽3 297/M | ₽31 134 |
| Qwen Audio 3.0 Tts Plus | Qwen | ₽1 249/M | ₽1 249/M | ₽31 217 |
| tts 1 | OpenAI | ₽1 249/M | ₽1 249/M | ₽31 217 |
| Tts 1 1106 | tts 1 1106 | ₽1 249/M | ₽1 249/M | ₽31 217 |
| Dall E 2 | dall e 2 | ₽1 332/M | ₽1 332/M | ₽33 298 |
| O3 Deep Research | OpenAI | ₽832/M | ₽3 330/M | ₽33 298 |
| Gpt 6 Astra | OpenAI | ₽832/M | ₽4 162/M | ₽37 460 |
| claude fable 5 | Anthropic | ₽916/M | ₽4 578/M | ₽41 206 |
| Claude Fable 5 1 | Anthropic | ₽916/M | ₽4 578/M | ₽41 206 |
| Code Davinci Edit 001 | code davinci edit 001 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| Text Davinci 002 | text davinci 002 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| Text Search Ada Doc 001 | text search ada doc 001 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| O1 | OpenAI | ₽1 249/M | ₽4 995/M | ₽49 947 |
| claude 3 opus latest | Anthropic | ₽1 374/M | ₽6 868/M | ₽61 810 |
| Claude Opus 4 | Anthropic | ₽1 374/M | ₽6 868/M | ₽61 810 |
| kimi latest | kimi latest | ₽2 497/M | ₽2 497/M | ₽62 434 |
| tts 1 hd | OpenAI | ₽2 497/M | ₽2 497/M | ₽62 434 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 497/M | ₽2 497/M | ₽62 434 |
| Whisper Large V3 | whisper large v3 | ₽2 567/M | ₽2 567/M | ₽64 170 |
| o3 Pro | OpenAI | ₽1 665/M | ₽6 660/M | ₽66 596 |
| Cogview 3 | cogview 3 | ₽2 955/M | ₽2 955/M | ₽73 880 |
| gpt 4 | OpenAI | ₽2 497/M | ₽4 995/M | ₽74 921 |
| GPT-5 Pro | OpenAI | ₽1 249/M | ₽9 989/M | ₽74 921 |
| DALL E 3 | DALL E 3 | ₽3 330/M | ₽3 330/M | ₽83 245 |
| GPT-5.2 Pro | OpenAI | ₽1 748/M | ₽13 985/M | ₽104 889 |
| gpt 5.4 pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| Gpt 5.5 Pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| whisper 1 | OpenAI | ₽8 325/M | ₽8 325/M | ₽208 114 |
| o1-pro | OpenAI | ₽14 152/M | ₽56 607/M | ₽566 069 |
Без публичной цены
нет данных в открытых источниках · 26
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Без публичной цены
нет данных в открытых источниках · 26
О провайдере
О сервисе
AiHubMix — прямой конкурент OpenRouter для CN-аудитории: широкий каталог, flat pricing per token (не ratio). Часто используется как backend в Cherry Studio. На AI-APISHKA — один из самых больших зарубежных каталогов.
Как сравнивать на AI-APISHKA
Flat $/1M — сравнивайте напрямую с OpenRouter и TokenFlux. Для CN-моделей — vs SiliconFlow в CNY.
Частые вопросы
- AiHubMix — OneAPI ratio или flat pricing?
- Flat USD per token в API — цены сравниваются напрямую, без пересчёта model_ratio.
- AiHubMix связан с Cherry Studio?
- Популярен как провайдер в экосистеме Cherry Studio; отдельный родственный сервис — CherryIN.
- Как получить каталог моделей AiHubMix?
- GET https://aihubmix.com/api/v1/models — публичный JSON с ценами.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
AiHubMix предлагает 715 моделей AI API. Средняя цена — ₽273/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.02/M (Llama3 Groq 8B 8192 Tool Use Preview).
Сравните цены на Llama3 Groq 8B 8192 Tool Use Preview , Llama3 Groq 70B 8192 Tool Use Preview , Mistral 7B Instruct (free) , DeepSeek R1 Distill Llama 8B и DeepSeek R1 Distill Qwen 1.5b у других провайдеров или в каталоге агрегаторов . Данные обновлены 01.10.2026.