AiHubMix
Сайт ↗784 модели: GPT, Claude, Gemini и CN-LLM через один API
- Моделей
- 683
- Средняя цена
- ₽300/M
- Регион
- Зарубежный · сайт на китайский и английский
- Оплата
- USD (доллары)
- Биллинг
- за токены
- API
- OpenAI-compatible
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
681 моделей
Текст и чат
оплата за токены · 661
▼
Текст и чат
оплата за токены · 661
| 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 |
| Yi VL Plus | yi vl plus | ₽0.07/M | ₽0.07/M | ₽2 |
| 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) | mistralai | ₽0.17/M | ₽0.17/M | ₽4 |
| DeepSeek R1 Distill Llama 8B | deepseek ai | ₽0.83/M | ₽0.83/M | ₽21 |
| DeepSeek R1 Distill Qwen 1.5b | deepseek ai | ₽0.83/M | ₽0.83/M | ₽21 |
| DeepSeek R1 Distill Qwen 7B | deepseek ai | ₽0.83/M | ₽0.83/M | ₽21 |
| deepseek ocr | deepseek ocr | ₽1.66/M | ₽1.66/M | ₽41 |
| DeepSeek R1t Chimera | tngtech | ₽1.66/M | ₽1.66/M | ₽41 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽1.66/M | ₽1.66/M | ₽41 |
| Gemma 2 9B It (free) | ₽1.66/M | ₽1.66/M | ₽41 | |
| Llama 3.1 405B | Llama 3.1 405B | ₽1.66/M | ₽1.66/M | ₽41 |
| llama 3.1 70b | llama 3.1 70b | ₽1.66/M | ₽1.66/M | ₽41 |
| Llama 3.1 8B | llama 3.1 8b | ₽1.66/M | ₽1.66/M | ₽41 |
| llama 3.2 11b vision:free | llama 3.2 11b vision instruct | ₽1.66/M | ₽1.66/M | ₽41 |
| Llama 3.2 3B | llama 3.2 3b | ₽1.66/M | ₽1.66/M | ₽41 |
| Omni Moderation | omni moderation latest | ₽1.66/M | ₽1.66/M | ₽41 |
| Qwen Text Embedding v3 | alibaba | ₽1.66/M | ₽1.66/M | ₽41 |
| text embedding 3 small | openai | ₽1.66/M | ₽1.66/M | ₽41 |
| ERNIE 4.5 0.3b | ernie 4.5 0.3b | ₽1.13/M | ₽4.52/M | ₽45 |
| Coding GLM 4.5 Air | coding glm 4.5 air | ₽1.16/M | ₽6.97/M | ₽58 |
| GLM Ocr | glm ocr | ₽2.34/M | ₽2.34/M | ₽59 |
| Bge Large Zh V1.5 | BAAI | ₽2.82/M | ₽2.82/M | ₽71 |
| Bge Reranker V2 M3 | BAAI | ₽2.82/M | ₽2.82/M | ₽71 |
| bge-large-en-v1.5 | baai | ₽2.82/M | ₽2.82/M | ₽71 |
| Deepinfra Llama 3.1 8B Instant | deepinfra llama 3.1 8b instant | ₽2.74/M | ₽4.56/M | ₽78 |
| Jina Embeddings V5 Text Nano | jina embeddings v5 text nano | ₽4.15/M | ₽4.15/M | ₽83 |
| Jina Embeddings V5 Text Small | jina embeddings v5 text small | ₽4.15/M | ₽4.15/M | ₽83 |
| GLM 4 9B 0414 | THUDM | ₽4.15/M | ₽4.15/M | ₽104 |
| GLM Z1 9B 0414 | THUDM | ₽4.15/M | ₽4.15/M | ₽104 |
| jina clip v1 | jina clip v1 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Colbert V2 | jina colbert v2 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Embeddings V3 | jina embeddings v3 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Reader | jina reader | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Reranker M0 | jina reranker m0 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Reranker V3 | jina reranker v3 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Reranker V3.5 | jina reranker v3.5 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Search | jina search | ₽4.15/M | ₽4.15/M | ₽104 |
| Agnes 2.5 Flash | agnes 2.5 flash | ₽2.49/M | ₽12.45/M | ₽112 |
| Bce Reranker Base | bce reranker base | ₽5.64/M | ₽5.64/M | ₽113 |
| Cohere Rerank V4.0 Fast | cohere rerank v4.0 fast | ₽5.64/M | ₽5.64/M | ₽113 |
| Cohere Rerank V4.0 Pro | cohere rerank v4.0 pro | ₽5.64/M | ₽5.64/M | ₽113 |
| Embedding V1 | embedding 001 | ₽5.64/M | ₽5.64/M | ₽113 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽5.64/M | ₽5.64/M | ₽113 |
| qwen3-embedding-0.6b | qwen | ₽5.64/M | ₽5.64/M | ₽113 |
| Qwen Turbo | qwen turbo | ₽3.82/M | ₽7.64/M | ₽115 |
| Qwen Flash | alibaba | ₽1.66/M | ₽16.60/M | ₽116 |
| Qwen3-VL Flash | alibaba | ₽1.71/M | ₽17.10/M | ₽120 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽4.15/M | ₽8.30/M | ₽124 |
| Groq Llama 3.1 8B Instant | groq llama 3.1 8b instant | ₽4.56/M | ₽7.30/M | ₽128 |
| Pro · THUDM · GLM-4.1V-9B-Thinking | Pro | ₽3.32/M | ₽13.28/M | ₽133 |
| Bge Large En | bge large en | ₽5.64/M | ₽5.64/M | ₽141 |
| Bge Large Zh | bge large zh | ₽5.64/M | ₽5.64/M | ₽141 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽5.64/M | ₽5.64/M | ₽141 |
| Tao 8K | tao 8k | ₽5.64/M | ₽5.64/M | ₽141 |
| Embedding 2 | embedding 2 | ₽5.69/M | ₽5.69/M | ₽142 |
| Embedding 3 | embedding 3 | ₽5.69/M | ₽5.69/M | ₽142 |
| Nvidia Nemotron Nano 9B V2 | nvidia nemotron nano 9b v2 | ₽3.65/M | ₽14.61/M | ₽146 |
| Doubao Lite 32K | Doubao lite 32k | ₽4.98/M | ₽9.96/M | ₽149 |
| Doubao Lite 4K | Doubao lite 4k | ₽4.98/M | ₽9.96/M | ₽149 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽4.98/M | ₽9.96/M | ₽149 |
| Doubao Seed 2.0 Mini 260428 | doubao seed 2 0 mini 260428 | ₽2.34/M | ₽23.41/M | ₽164 |
| Qwen3.5 Flash | alibaba | ₽2.34/M | ₽23.41/M | ₽164 |
| GLM 4 32B | Z.ai | ₽6.64/M | ₽6.64/M | ₽166 |
| GLM Z1 32B 0414 | THUDM | ₽6.64/M | ₽6.64/M | ₽166 |
| Qwen2 7B Instruct | Qwen | ₽6.64/M | ₽6.64/M | ₽166 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽2.50/M | ₽25.01/M | ₽175 |
| CC GLM 4.6 | cc glm 4.6 | ₽4.98/M | ₽18.26/M | ₽191 |
| CC GLM 4.7 | cc glm 4.7 | ₽4.98/M | ₽18.26/M | ₽191 |
| CC GLM 5 | cc glm 5 | ₽4.98/M | ₽18.26/M | ₽191 |
| CC GLM 5 Turbo | cc glm 5 turbo | ₽4.98/M | ₽18.26/M | ₽191 |
| CC GLM 5.1 | cc glm 5.1 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 4.6 | coding glm 4.6 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 4.7 | coding glm 4.7 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 5 | coding glm 5 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 5 Turbo | coding glm 5 turbo | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 5.1 | coding glm 5.1 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 5.2 | coding glm 5.2 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding Xiaomi Mimo V2.5 | coding xiaomi mimo v2.5 | ₽6.64/M | ₽13.28/M | ₽199 |
| Embed V 4.0 | embed v 4 0 | ₽9.96/M | ₽9.96/M | ₽199 |
| Qianfan Ocr | qianfan ocr | ₽5.15/M | ₽20.58/M | ₽206 |
| CC MiniMax M2 | cc minimax m2 | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.1 | cc minimax m2.1 | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.5 | cc minimax m2.5 | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.5 Highspeed | cc minimax m2.5 highspeed | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.7 | cc minimax m2.7 | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.7 Highspeed | cc minimax m2.7 highspeed | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M3 | cc minimax m3 | ₽8.30/M | ₽8.30/M | ₽207 |
| DeepSeek Prover V2 671B | deepseek ai | ₽8.30/M | ₽8.30/M | ₽207 |
| DeepSeek R1 Distill Qwen 14B | deepseek ai | ₽8.30/M | ₽8.30/M | ₽207 |
| Doubao Embedding Large Text 240915 | doubao embedding large text 240915 | ₽8.30/M | ₽8.30/M | ₽207 |
| Gemma 7B It | gemma 7b it | ₽8.30/M | ₽8.30/M | ₽207 |
| GLM 4 Flash | glm 4 flash | ₽8.30/M | ₽8.30/M | ₽207 |
| GLM 4.1 Vision 9B Thinking | THUDM | ₽8.30/M | ₽8.30/M | ₽207 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽8.30/M | ₽8.30/M | ₽207 |
| Mm Minimax M2.7 Highspeed | mm minimax m2.7 highspeed | ₽8.30/M | ₽8.30/M | ₽207 |
| Text Embedding ADA | text embedding ada | ₽8.30/M | ₽8.30/M | ₽207 |
| Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 | deepinfra nvidia nemotron 3 nano 30b a3b2 | ₽5.48/M | ₽21.91/M | ₽219 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽5.48/M | ₽21.91/M | ₽219 |
| ERNIE 4.5 | ernie 4.5 | ₽5.64/M | ₽22.58/M | ₽226 |
| Ling Mini 2.0 | inclusionAI | ₽5.64/M | ₽22.58/M | ₽226 |
| gte rerank | gte rerank | ₽9.13/M | ₽9.13/M | ₽228 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽9.13/M | ₽9.13/M | ₽228 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽9.13/M | ₽9.13/M | ₽228 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽9.13/M | ₽9.13/M | ₽228 |
| Aihubmix Phi 4 Mini (reasoning) | AiHubmix Phi 4 mini reasoning | ₽9.96/M | ₽9.96/M | ₽249 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| Doubao Seed 1.6 Flash | doubao seed 1 6 flash | ₽3.65/M | ₽36.52/M | ₽256 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽3.65/M | ₽36.52/M | ₽256 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.82/M | ₽38.18/M | ₽267 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.82/M | ₽38.18/M | ₽267 |
| Qwen3 4B | qwen3 4b | ₽3.82/M | ₽38.18/M | ₽267 |
| text embedding 3 large | openai | ₽10.79/M | ₽10.79/M | ₽270 |
| qwen3.5 35b a3b | qwen | ₽4.68/M | ₽37.45/M | ₽281 |
| Deepinfra Llama 4 Scout 17B 16e Instruct | deepinfra llama 4 scout 17b 16e instruct | ₽7.30/M | ₽27.39/M | ₽283 |
| Gme Qwen2 VL 2B Instruct | gme qwen2 vl 2b instruct | ₽11.45/M | ₽11.45/M | ₽286 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽8.96/M | ₽22.41/M | ₽291 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽9.10/M | ₽22.74/M | ₽296 |
| Coding Xiaomi Mimo V2 Omni | coding xiaomi mimo v2 omni | ₽6.64/M | ₽33.20/M | ₽299 |
| Deepinfra Gemma 4 26B A4B It | deepinfra gemma 4 26b a4b it | ₽7.30/M | ₽31.95/M | ₽306 |
| Step 3.5 Flash | step 3.5 flash | ₽9.13/M | ₽27.39/M | ₽320 |
| Deepinfra Llama 3.3 70B Instant Turbo | deepinfra llama 3.3 70b instant turbo | ₽9.13/M | ₽29.22/M | ₽329 |
| Baichuan4 Air | Baichuan4 Air | ₽13.28/M | ₽13.28/M | ₽332 |
| DeepSeek Llm 67B Chat | deepseek ai | ₽13.28/M | ₽13.28/M | ₽332 |
| DeepSeek Vl2 | deepseek ai | ₽13.28/M | ₽13.28/M | ₽332 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| Gemini Embedding 2 | gemini embedding 2 | ₽16.60/M | ₽16.60/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| qwen 2.5 coder 32b instruct | qwen | ₽13.28/M | ₽13.28/M | ₽332 |
| Qwen Long | qwen long | ₽8.30/M | ₽33.20/M | ₽332 |
| Qwq 32b | qwen | ₽13.28/M | ₽13.28/M | ₽332 |
| qwen3 30b a3b instruct 2507 | qwen | ₽8.53/M | ₽34.13/M | ₽341 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽8.53/M | ₽34.13/M | ₽341 |
| Doubao Lite 128K | Doubao lite 128k | ₽11.62/M | ₽23.24/M | ₽349 |
| deepseek v4 flash | deepseek | ₽11.79/M | ₽23.57/M | ₽354 |
| Groq Llama 4 Scout 17B 16e Instruct | groq llama 4 scout 17b 16e instruct | ₽10.13/M | ₽30.38/M | ₽354 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽8.96/M | ₽35.86/M | ₽359 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽11.12/M | ₽27.80/M | ₽361 |
| ERNIE 4.5 Turbo | ernie 4.5 turbo | ₽9.13/M | ₽36.52/M | ₽365 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽9.13/M | ₽36.52/M | ₽365 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽7.50/M | ₽45.02/M | ₽375 |
| Doubao Seed 2.0 Lite 260428 | doubao seed 2 0 lite 260428 | ₽7.50/M | ₽45.02/M | ₽375 |
| Doubao Pro 32K | Doubao pro 32k | ₽11.62/M | ₽29.05/M | ₽378 |
| Doubao Pro 4K | Doubao pro 4k | ₽11.62/M | ₽29.05/M | ₽378 |
| mimo v2.5 | mimo v2.5 | ₽12.86/M | ₽25.73/M | ₽386 |
| glm 4.6v | z ai | ₽11.37/M | ₽34.11/M | ₽398 |
| gemma 4 26b a4b it | ₽11.62/M | ₽33.20/M | ₽398 | |
| gemma 4 31b it | ₽11.62/M | ₽33.20/M | ₽398 | |
| Aihub Phi 4 | aihub Phi 4 | ₽9.96/M | ₽39.84/M | ₽398 |
| Aihub Phi 4 Mini Instruct | aihub Phi 4 mini instruct | ₽9.96/M | ₽39.84/M | ₽398 |
| Aihub Phi 4 Multimodal Instruct | aihub Phi 4 multimodal instruct | ₽9.96/M | ₽39.84/M | ₽398 |
| DeepSeek Coder V2 Instruct | deepseek ai | ₽13.28/M | ₽26.56/M | ₽398 |
| DeepSeek V2 Chat | deepseek ai | ₽13.28/M | ₽26.56/M | ₽398 |
| DeepSeek V2.5 | deepseek ai | ₽13.28/M | ₽26.56/M | ₽398 |
| Doubao Seed 1.6 Lite | doubao seed 1 6 lite | ₽6.81/M | ₽54.45/M | ₽408 |
| gpt oss 20b | openai | ₽9.13/M | ₽45.65/M | ₽411 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽9.13/M | ₽45.65/M | ₽411 |
| CC Doubao Seed Code Preview | cc doubao seed code preview latest | ₽16.60/M | ₽16.60/M | ₽415 |
| CC K2.6 Code Preview | cc k2.6 code preview | ₽16.60/M | ₽16.60/M | ₽415 |
| CC Kimi For Coding | cc kimi for coding | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2 | coding minimax m2 | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.1 | coding minimax m2.1 | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.5 | coding minimax m2.5 | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.5 Highspeed | coding minimax m2.5 highspeed | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.7 | coding minimax m2.7 | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.7 Highspeed | coding minimax m2.7 highspeed | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M3 | coding minimax m3 | ₽16.60/M | ₽16.60/M | ₽415 |
| DeepSeek R1 Distill Qwen 32B | deepseek ai | ₽16.60/M | ₽16.60/M | ₽415 |
| Doubao-Seed-Code | ByteDance | ₽16.60/M | ₽16.60/M | ₽415 |
| gemma 3 12b it | ₽16.60/M | ₽16.60/M | ₽415 | |
| Gemma 3 1B It | gemma 3 1b it | ₽16.60/M | ₽16.60/M | ₽415 |
| gemma 3 27b it | ₽16.60/M | ₽16.60/M | ₽415 | |
| Gemma 3 4B It | gemma 3 4b it | ₽16.60/M | ₽16.60/M | ₽415 |
| gemma 3n e4b it | ₽16.60/M | ₽16.60/M | ₽415 | |
| Google Gemma 3 12B It | google gemma 3 12b it | ₽16.60/M | ₽16.60/M | ₽415 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽16.60/M | ₽16.60/M | ₽415 |
| Google Gemma 3 4B It | google gemma 3 4b it | ₽16.60/M | ₽16.60/M | ₽415 |
| Hunyuan Mt 7B | tencent | ₽16.60/M | ₽16.60/M | ₽415 |
| llama 3.2 1b:free | meta llama | ₽16.60/M | ₽16.60/M | ₽415 |
| Llama 4 Maverick | llama 4 maverick | ₽16.60/M | ₽16.60/M | ₽415 |
| Llama 4 Scout | llama 4 scout | ₽16.60/M | ₽16.60/M | ₽415 |
| Moonlight 16B A3B Instruct | moonshotai | ₽16.60/M | ₽16.60/M | ₽415 |
| Qwen2 1.5b Instruct | Qwen | ₽16.60/M | ₽16.60/M | ₽415 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽16.60/M | ₽16.60/M | ₽415 |
| qwen3 8b | qwen | ₽16.60/M | ₽16.60/M | ₽415 |
| Text Moderation | text moderation latest | ₽16.60/M | ₽16.60/M | ₽415 |
| Text Moderation 007 | text moderation 007 | ₽16.60/M | ₽16.60/M | ₽415 |
| Text Moderation Stable | text moderation stable | ₽16.60/M | ₽16.60/M | ₽415 |
| Yi Lightning | yi lightning | ₽16.60/M | ₽16.60/M | ₽415 |
| qwen3.5 27b | qwen | ₽7.02/M | ₽56.17/M | ₽421 |
| ERNIE X1 Turbo | ernie x1 turbo | ₽11.29/M | ₽45.15/M | ₽452 |
| ERNIE X1.1 Preview | ERNIE X1.1 Preview | ₽11.29/M | ₽45.15/M | ₽452 |
| Ling Flash 2.0 | inclusionAI | ₽11.29/M | ₽45.15/M | ₽452 |
| qwen3 coder flash | qwen | ₽11.29/M | ₽45.15/M | ₽452 |
| Ring Flash 2.0 | inclusionAI | ₽11.29/M | ₽45.15/M | ₽452 |
| qwen3.5 plus | qwen3.5 plus | ₽9.10/M | ₽54.58/M | ₽455 |
| DeepSeek R1 Distill Qianfan Llama 8B | deepseek r1 distill qianfan llama 8b | ₽11.37/M | ₽45.48/M | ₽455 |
| Kat Dev | kat dev | ₽11.37/M | ₽45.48/M | ₽455 |
| qwen3 coder next | qwen | ₽11.37/M | ₽45.48/M | ₽455 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.45/M | ₽45.81/M | ₽458 |
| hunyuan a13b | hunyuan a13b | ₽11.62/M | ₽46.48/M | ₽465 |
| Coding Xiaomi Mimo V2.5 Pro | coding xiaomi mimo v2.5 pro | ₽16.60/M | ₽33.20/M | ₽498 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽12.45/M | ₽49.80/M | ₽498 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽49.80/M | ₽498 |
| Qwen2 57B A14B Instruct | Qwen | ₽19.92/M | ₽19.92/M | ₽498 |
| Qwen2.5 Coder 1.5b Instruct | qwen2.5 coder 1.5b instruct | ₽16.60/M | ₽33.20/M | ₽498 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽16.60/M | ₽33.20/M | ₽498 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽16.60/M | ₽33.20/M | ₽498 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽19.92/M | ₽19.92/M | ₽498 |
| Hy3 | hy3 | ₽14.11/M | ₽47.03/M | ₽517 |
| Longcat Flash Chat | LongCat Flash Chat | ₽11.62/M | ₽58.10/M | ₽523 |
| qwen3 32b | qwen | ₽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 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok Code Fast 1 | grok code fast 1 | ₽16.60/M | ₽41.50/M | ₽539 |
| Qwen-MT Turbo | alibaba | ₽15.94/M | ₽44.40/M | ₽541 |
| Seed Oss 36B Instruct | ByteDance Seed | ₽16.60/M | ₽44.32/M | ₽554 |
| mimo v2 flash | xiaomi | ₽15.92/M | ₽47.76/M | ₽557 |
| qwen3.5 122b a10b | qwen | ₽9.35/M | ₽74.76/M | ₽561 |
| Claude 3 Haiku | Anthropic | ₽22.82/M | ₽22.82/M | ₽571 |
| Coding Xiaomi Mimo V2 Pro | coding xiaomi mimo v2 pro | ₽16.60/M | ₽49.80/M | ₽581 |
| Gemini Pro | gemini pro | ₽16.60/M | ₽49.80/M | ₽581 |
| glm 4.5 air | z ai | ₽11.62/M | ₽69.72/M | ₽581 |
| Qianfan Qi VL | qianfan qi vl | ₽16.60/M | ₽49.80/M | ₽581 |
| Chatglm_lite | chatglm_lite | ₽23.72/M | ₽23.72/M | ₽593 |
| CC DeepSeek V3 | cc deepseek v3 | ₽24.90/M | ₽24.90/M | ₽622 |
| Llama 3.1 Sonar Small 128K Online | llama 3.1 sonar small 128k online | ₽24.90/M | ₽24.90/M | ₽622 |
| Llama3 8B 8192(33) | llama3 8b 8192(33) | ₽24.90/M | ₽24.90/M | ₽622 |
| Llama3 8B Chat | meta | ₽24.90/M | ₽24.90/M | ₽622 |
| Alicloud Deepseek V3.2 | alicloud deepseek v3.2 | ₽22.74/M | ₽34.11/M | ₽625 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽9.10/M | ₽90.96/M | ₽637 |
| Groq Llama 4 Maverick 17B 128e Instruct | groq llama 4 maverick 17b 128e instruct | ₽18.26/M | ₽54.78/M | ₽639 |
| Nvidia Nemotron Nano 12B V2 VL | nvidia nemotron nano 12b v2 vl | ₽18.26/M | ₽54.78/M | ₽639 |
| Qwen Plus | qwen plus | ₽9.35/M | ₽93.46/M | ₽654 |
| Aihubmix Command R 08 2024 | aihubmix command r 08 2024 | ₽16.60/M | ₽66.40/M | ₽664 |
| Command R | command r | ₽16.60/M | ₽66.40/M | ₽664 |
| Mistral Small 3.1 24B Instruct 2503 | chutesai | ₽16.60/M | ₽66.40/M | ₽664 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽16.60/M | ₽66.40/M | ₽664 |
| gpt oss 120b | openai | ₽14.94/M | ₽74.70/M | ₽672 |
| qwen3.5 397b a17b | qwen | ₽13.64/M | ₽81.87/M | ₽682 |
| deepseek v3.2 | deepseek | ₽25.07/M | ₽37.60/M | ₽689 |
| qwen3 30b a3b | qwen | ₽9.96/M | ₽99.60/M | ₽697 |
| MiniMax Text 01 | MiniMax Text 01 | ₽11.62/M | ₽92.96/M | ₽697 |
| qwen3.6 flash | qwen | ₽14.03/M | ₽84.16/M | ₽701 |
| Grok 3 Mini | grok 3 mini | ₽24.90/M | ₽41.58/M | ₽706 |
| Qianfan Llama VL 8B | qianfan llama vl 8b | ₽22.74/M | ₽56.85/M | ₽739 |
| Aihubmix Llama 3.1 8B Instruct | aihubmix Llama 3 1 8B Instruct | ₽24.90/M | ₽49.80/M | ₽747 |
| Llama 3.1 8B Instant | llama 3.1 8b instant | ₽24.90/M | ₽49.80/M | ₽747 |
| Llama3.1 8B | llama3.1 8b | ₽24.90/M | ₽49.80/M | ₽747 |
| Qwen2 VL 7B Instruct | Qwen2 VL 7B Instruct | ₽23.24/M | ₽58.10/M | ₽755 |
| glm 4.5v | z ai | ₽22.74/M | ₽68.22/M | ₽796 |
| Qwen3-VL Plus | alibaba | ₽11.37/M | ₽114/M | ₽796 |
| Aihubmix Llama 3.2 11B Vision | aihubmix Llama 3 2 11B Vision | ₽33.20/M | ₽33.20/M | ₽830 |
| gpt 5.6 luna | openai | ₽16.60/M | ₽99.60/M | ₽830 |
| Mythomax L2 13B | Gryphe | ₽33.20/M | ₽33.20/M | ₽830 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽33.20/M | ₽33.20/M | ₽830 |
| Text Ada 001 | text ada 001 | ₽33.20/M | ₽33.20/M | ₽830 |
| Yi Medium | yi medium | ₽33.20/M | ₽33.20/M | ₽830 |
| gpt 5.4 nano | openai | ₽16.60/M | ₽104/M | ₽851 |
| DeepSeek V3 | deepseek search | ₽22.58/M | ₽90.30/M | ₽903 |
| glm 4.6 | z ai | ₽22.74/M | ₽90.96/M | ₽910 |
| glm 4.7 | z ai | ₽22.74/M | ₽90.96/M | ₽910 |
| Bai Qwen3 VL 235B A22B Instruct | bai qwen3 vl 235b a22b instruct | ₽22.74/M | ₽90.97/M | ₽910 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽22.74/M | ₽90.97/M | ₽910 |
| Step 3.7 Flash | step 3.7 flash | ₽18.26/M | ₽110/M | ₽913 |
| qwen3 14b | qwen | ₽13.28/M | ₽133/M | ₽930 |
| qwen3 235b a22b | qwen | ₽23.24/M | ₽92.96/M | ₽930 |
| Qwen3 235B A22B Instruct | alibaba | ₽23.24/M | ₽92.96/M | ₽930 |
| Qwen3.7 Flash | qwen3.7 flash | ₽23.41/M | ₽93.62/M | ₽936 |
| qwen3.7 plus | qwen | ₽23.41/M | ₽93.62/M | ₽936 |
| Alicloud Minimax M2.5 | alicloud minimax m2.5 | ₽23.87/M | ₽95.48/M | ₽955 |
| minimax m2 | minimax | ₽23.90/M | ₽95.61/M | ₽956 |
| minimax m2.1 | minimax | ₽23.90/M | ₽95.61/M | ₽956 |
| minimax m2.5 | minimax | ₽23.90/M | ₽95.61/M | ₽956 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽23.90/M | ₽95.61/M | ₽956 |
| minimax m3 | minimax | ₽23.90/M | ₽95.61/M | ₽956 |
| Qwen 3.8 Max | alibaba | ₽28.05/M | ₽84.16/M | ₽982 |
| minimax m2.7 | minimax | ₽24.55/M | ₽98.20/M | ₽982 |
| gemini 2.5 flash image | ₽24.90/M | ₽99.60/M | ₽996 | |
| Qwen Qwq 32B | qwen qwq 32b | ₽33.20/M | ₽66.40/M | ₽996 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽33.20/M | ₽66.40/M | ₽996 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽41.50/M | ₽41.50/M | ₽1 037 |
| gemini 3.1 flash lite | ₽20.75/M | ₽124/M | ₽1 037 | |
| gemini 3.1 flash lite image | ₽20.75/M | ₽124/M | ₽1 037 | |
| Llama 3.1 Nemotron Ultra 253B | llama 3.1 nemotron ultra 253b | ₽41.50/M | ₽41.50/M | ₽1 037 |
| llama 3.2 90b vision:free | meta llama | ₽41.50/M | ₽41.50/M | ₽1 037 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽41.50/M | ₽41.50/M | ₽1 037 |
| Llama2 70B 40960 | llama2 70b 40960 | ₽41.50/M | ₽41.50/M | ₽1 037 |
| qwen2.5 vl 72b instruct | qwen | ₽41.50/M | ₽41.50/M | ₽1 037 |
| Text Babbage 001 | text babbage 001 | ₽41.50/M | ₽41.50/M | ₽1 037 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽14.94/M | ₽149/M | ₽1 046 |
| Qwen 3 235B A22B Instruct 2507 | qwen 3 235b a22b instruct 2507 | ₽23.24/M | ₽116/M | ₽1 046 |
| qwen3.6 35b a3b | qwen | ₽21.08/M | ₽126/M | ₽1 054 |
| CC ERNIE 4.5 300B A47B | cc ernie 4.5 300b a47b | ₽26.56/M | ₽106/M | ₽1 062 |
| CC Kimi Dev 72B | cc kimi dev 72b | ₽26.56/M | ₽106/M | ₽1 062 |
| ERNIE 4.5 300B A47B | baidu | ₽26.56/M | ₽106/M | ₽1 062 |
| Kimi Dev 72B | moonshotai | ₽26.56/M | ₽106/M | ₽1 062 |
| Deepinfra Llama 4 Maverick 17B 128e Instruct | deepinfra llama 4 maverick 17b 128e instruct | ₽27.39/M | ₽110/M | ₽1 096 |
| Agnes 2.5 Pro | agnes 2.5 pro | ₽37.35/M | ₽74.70/M | ₽1 120 |
| Meta Llama 3 8B | meta llama 3 8b | ₽45.48/M | ₽45.48/M | ₽1 137 |
| deepseek v4 pro | deepseek | ₽38.51/M | ₽77.02/M | ₽1 155 |
| Aihubmix Codestral 2501 | aihubmix Codestral 2501 | ₽33.20/M | ₽99.60/M | ₽1 162 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽33.20/M | ₽99.60/M | ₽1 162 |
| Mistral Codestral | mistral | ₽33.20/M | ₽99.60/M | ₽1 162 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽33.20/M | ₽99.60/M | ₽1 162 |
| qwen3.6 plus | qwen | ₽23.41/M | ₽140/M | ₽1 170 |
| mimo v2.5 pro | mimo v2.5 pro | ₽39.84/M | ₽79.68/M | ₽1 195 |
| gpt 5.1 codex mini | openai | ₽20.75/M | ₽166/M | ₽1 245 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| Cerebras Llama 3.3 70B | cerebras llama 3.3 70b | ₽49.80/M | ₽49.80/M | ₽1 245 |
| deepseek r1 distill llama 70b | deepseek | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Llama 3.1 70B Versatile | llama 3.1 70b versatile | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Llama 3.3 70B | llama 3.3 70b | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Qwen Max | qwen max | ₽31.54/M | ₽126/M | ₽1 262 |
| Aihubmix Llama 3.1 70B Instruct | aihubmix Llama 3 1 70B Instruct | ₽49.80/M | ₽64.74/M | ₽1 320 |
| Ahm Phi 3.5 Moe Instruct | ahm Phi 3 5 MoE instruct | ₽33.20/M | ₽133/M | ₽1 328 |
| Ahm Phi 3.5 Vision Instruct | ahm Phi 3 5 vision instruct | ₽33.20/M | ₽133/M | ₽1 328 |
| Aihubmix Router | aihubmix router | ₽33.20/M | ₽133/M | ₽1 328 |
| glm 4.5 | z ai | ₽33.20/M | ₽133/M | ₽1 328 |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| Qwen 3 32B | qwen 3 32b | ₽33.20/M | ₽133/M | ₽1 328 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽38.18/M | ₽115/M | ₽1 336 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽14.94/M | ₽209/M | ₽1 345 |
| Coding Kimi K3 | coding kimi k3 | ₽36.52/M | ₽134/M | ₽1 400 |
| Qwen-MT Plus | alibaba | ₽40.83/M | ₽123/M | ₽1 429 |
| Groq Llama 3.3 70B Versatile | groq llama 3.3 70b versatile | ₽53.87/M | ₽72.13/M | ₽1 438 |
| Aihubmix Llama 3 70B Instruct | aihubmix Llama 3 70B Instruct | ₽58.10/M | ₽58.10/M | ₽1 452 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽58.10/M | ₽58.10/M | ₽1 452 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽124/M | ₽1 452 |
| Mistral Large 3 | mistral large 3 | ₽41.50/M | ₽124/M | ₽1 452 |
| GLM 3 Turbo | glm 3 turbo | ₽58.93/M | ₽58.93/M | ₽1 473 |
| Alicloud Glm 4.7 | alicloud glm 4.7 | ₽34.11/M | ₽159/M | ₽1 478 |
| Chatglm_std | chatglm_std | ₽59.29/M | ₽59.29/M | ₽1 482 |
| Chatglm_turbo | chatglm_turbo | ₽59.29/M | ₽59.29/M | ₽1 482 |
| Aihubmix Mistral Medium | AiHubmix mistral medium | ₽33.20/M | ₽166/M | ₽1 494 |
| DeepSeek R1 | deepseek r1 | ₽33.20/M | ₽166/M | ₽1 494 |
| Qwen3 Max | qwen3 max | ₽37.42/M | ₽150/M | ₽1 497 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 3.5 flash lite | ₽24.90/M | ₽207/M | ₽1 535 | |
| Llama3 70B 8192 | llama3 70b 8192 | ₽58.10/M | ₽77.79/M | ₽1 551 |
| Qwen 3 235B A22B Thinking 2507 | qwen 3 235b a22b thinking 2507 | ₽23.24/M | ₽232/M | ₽1 627 |
| CC DeepSeek V3.1 | cc deepseek v3.1 | ₽46.48/M | ₽139/M | ₽1 627 |
| deepseek v3.1 | deepseek v3.1 | ₽46.48/M | ₽139/M | ₽1 627 |
| deepseek v3.1 terminus | deepseek | ₽46.48/M | ₽139/M | ₽1 627 |
| mimo v2 omni | mimo v2 omni | ₽36.52/M | ₽183/M | ₽1 643 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽56.77/M | ₽102/M | ₽1 646 |
| gemma 2 27b it | ₽66.40/M | ₽66.40/M | ₽1 660 | |
| qwen 2.5 72b instruct | qwen | ₽66.40/M | ₽66.40/M | ₽1 660 |
| Qwen2 72B Instruct | Qwen | ₽66.40/M | ₽66.40/M | ₽1 660 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽66.40/M | ₽66.40/M | ₽1 660 |
| Azure Deepseek V3.2 | azure deepseek v3.2 | ₽48.14/M | ₽139/M | ₽1 660 |
| Azure Deepseek V3.2 Speciale | azure deepseek v3.2 speciale | ₽48.14/M | ₽139/M | ₽1 660 |
| Qianfan Chinese Llama 2 13B | qianfan chinese llama 2 13b | ₽68.22/M | ₽68.22/M | ₽1 706 |
| Doubao Seed 2.1 Turbo | doubao seed 2 1 turbo | ₽38.57/M | ₽193/M | ₽1 736 |
| qwen3.6 27b | qwen | ₽35.03/M | ₽210/M | ₽1 751 |
| Kimi K2 | kimi k2 | ₽44.82/M | ₽179/M | ₽1 793 |
| qwen3 coder plus | qwen | ₽44.82/M | ₽179/M | ₽1 793 |
| Doubao Seed 2.0 Code | Doubao Seed 2.0 Code | ₽40.02/M | ₽200/M | ₽1 801 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽40.02/M | ₽200/M | ₽1 801 |
| Alicloud Kimi K2 Instruct | alicloud kimi k2 instruct | ₽45.48/M | ₽182/M | ₽1 819 |
| CC Kimi K2 Instruct | cc kimi k2 instruct | ₽45.48/M | ₽182/M | ₽1 819 |
| Ling 1t | inclusionAI | ₽45.48/M | ₽182/M | ₽1 819 |
| Ring 1t | inclusionAI | ₽45.48/M | ₽182/M | ₽1 819 |
| Sf Kimi K2 Thinking | sf kimi k2 thinking | ₽45.48/M | ₽182/M | ₽1 819 |
| Aihubmix Cohere Command R | aihubmix Cohere command r | ₽53.12/M | ₽159/M | ₽1 859 |
| Wizardcoder Python 34B V1.0 | WizardLM | ₽74.70/M | ₽74.70/M | ₽1 867 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽66.40/M | ₽120/M | ₽1 926 |
| Doubao Pro 128K | Doubao pro 128k | ₽66.40/M | ₽120/M | ₽1 926 |
| Doubao Pro 256K | Doubao pro 256k | ₽66.40/M | ₽120/M | ₽1 926 |
| Alicloud Glm 5 | alicloud glm 5 | ₽46.76/M | ₽210/M | ₽1 987 |
| ERNIE 5.1 | ernie 5.1 | ₽46.76/M | ₽210/M | ₽1 987 |
| MiniMax M1 80K | MiniMaxAI | ₽49.80/M | ₽199/M | ₽1 992 |
| Doubao 1.5 Thinking Pro | Doubao 1.5 thinking pro | ₽51.46/M | ₽206/M | ₽2 058 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽83.00/M | ₽83.00/M | ₽2 075 |
| Gemini 3 Flash | gemini 3 flash | ₽41.50/M | ₽249/M | ₽2 075 |
| gemini 3.1 flash image | ₽41.50/M | ₽249/M | ₽2 075 | |
| Gemini Pro Vision | gemini pro vision | ₽83.00/M | ₽83.00/M | ₽2 075 |
| Alicloud Kimi K2.5 | alicloud kimi k2.5 | ₽45.48/M | ₽239/M | ₽2 104 |
| Azure Kimi K2.5 | azure kimi k2.5 | ₽49.80/M | ₽249/M | ₽2 241 |
| Kimi K2.5 | kimi k2.5 | ₽49.80/M | ₽249/M | ₽2 241 |
| Moonshot Kimi K2.5 | moonshot kimi k2.5 | ₽49.80/M | ₽249/M | ₽2 241 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽66.40/M | ₽199/M | ₽2 324 |
| glm 5v turbo | z ai | ₽58.45/M | ₽257/M | ₽2 455 |
| Command | command | ₽83.00/M | ₽166/M | ₽2 490 |
| Command Light | command light | ₽83.00/M | ₽166/M | ₽2 490 |
| Command Light Nightly | command light nightly | ₽83.00/M | ₽166/M | ₽2 490 |
| Command Nightly | command nightly | ₽83.00/M | ₽166/M | ₽2 490 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽83.00/M | ₽166/M | ₽2 490 |
| grok build 0.1 | x ai | ₽83.00/M | ₽166/M | ₽2 490 |
| Llama 3.1 Sonar Large 128K Online | llama 3.1 sonar large 128k online | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Qvq 72B Preview | Qwen | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Longcat 2.0 | longcat 2.0 | ₽64.29/M | ₽257/M | ₽2 572 |
| GLM-5 | glm 5 | ₽73.04/M | ₽234/M | ₽2 629 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽68.06/M | ₽272/M | ₽2 722 |
| ERNIE 5.0 | ernie 5.0 | ₽68.22/M | ₽273/M | ₽2 729 |
| Nvidia Llama 3.1 Nemotron 70B Instruct | nvidia llama 3.1 nemotron 70b instruct | ₽110/M | ₽110/M | ₽2 739 |
| glm 5.1 | z ai | ₽70.13/M | ₽281/M | ₽2 805 |
| Ahm Phi 3 Medium 4K | ahm Phi 3 medium 4k | ₽83.00/M | ₽249/M | ₽2 905 |
| Ahm Phi 3 Small 128K | ahm Phi 3 small 128k | ₽83.00/M | ₽249/M | ₽2 905 |
| Ahm Phi 3.5 Mini Instruct | ahm Phi 3 5 mini instruct | ₽83.00/M | ₽249/M | ₽2 905 |
| Chatglm_pro | chatglm_pro | ₽119/M | ₽119/M | ₽2 964 |
| Step3 | stepfun ai | ₽91.30/M | ₽228/M | ₽2 967 |
| Claude Instant 1.2 | claude instant 1.2 | ₽73.04/M | ₽329/M | ₽3 104 |
| gpt 5.4 mini | openai | ₽62.25/M | ₽373/M | ₽3 112 |
| grok 4.3 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| mimo v2 pro | mimo v2 pro | ₽91.30/M | ₽274/M | ₽3 195 |
| kimi k2.6 | moonshotai | ₽78.85/M | ₽332/M | ₽3 237 |
| kimi k2.7 code | moonshotai | ₽78.85/M | ₽332/M | ₽3 237 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 2.0 Mini 260615 | doubao seedance 2 0 mini 260615 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 2.5 260628 | doubao seedance 2 5 260628 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedream 4.0 | doubao seedream 4 0 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedream 4.5 | doubao seedream 4 5 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedream 5.0 Lite | doubao seedream 5.0 lite | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedream 5.0 Pro | doubao seedream 5.0 pro | ₽166/M | ₽166/M | ₽3 320 |
| ERNIE Image Turbo | ernie image turbo | ₽166/M | ₽166/M | ₽3 320 |
| Flux 2 Pro | black forest labs | ₽166/M | ₽166/M | ₽3 320 |
| Flux Kontext Max | flux kontext max | ₽166/M | ₽166/M | ₽3 320 |
| FLUX.2 [flex] | black forest labs | ₽166/M | ₽166/M | ₽3 320 |
| Fx Flux 2 Pro | fx flux 2 pro | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.0 I2v | happyhorse 1.0 i2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.0 R2v | happyhorse 1.0 r2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.0 T2v | happyhorse 1.0 t2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.1 I2v | happyhorse 1.1 i2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.1 R2v | happyhorse 1.1 r2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.1 T2v | happyhorse 1.1 t2v | ₽166/M | ₽166/M | ₽3 320 |
| Kling V3 Omni | kling v3 omni | ₽166/M | ₽166/M | ₽3 320 |
| Kling Video O1 | kling video o1 | ₽166/M | ₽166/M | ₽3 320 |
| Musesteamer Air Image | musesteamer air image | ₽166/M | ₽166/M | ₽3 320 |
| Paddleocr VL 0.9b | paddleocr vl 0.9b | ₽166/M | ₽166/M | ₽3 320 |
| Pp Structurev3 | pp structurev3 | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image 2.0 | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image 2.0 Pro | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image 3.0 | qwen image 3.0 | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image 3.0 Pro | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image Edit | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image Max | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Sonar | perplexity | ₽133/M | ₽133/M | ₽3 320 |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽166/M | ₽166/M | ₽3 320 |
| Veo 3.1 Lite | ₽166/M | ₽166/M | ₽3 320 | |
| Wan 2.2 I2V Plus | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Wan 2.5 I2V Preview | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Wan 2.5 T2V Preview | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.6 I2v | wan2.6 i2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.6 T2i | wan2.6 t2i | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.6 T2v | wan2.6 t2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.7 I2v | wan2.7 i2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.7 R2v | wan2.7 r2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.7 T2v | wan2.7 t2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seed 2.1 Pro | doubao seed 2 1 pro | ₽77.15/M | ₽386/M | ₽3 472 |
| glm 5.2 | z ai | ₽93.52/M | ₽327/M | ₽3 507 |
| Mai Image 2.5 Flash | mai image 2.5 flash | ₽145/M | ₽145/M | ₽3 631 |
| glm 5 turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| Zai Glm 5 Turbo | zai glm 5 turbo | ₽99.60/M | ₽332/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| GLM 4.5 Airx | glm 4.5 airx | ₽91.30/M | ₽374/M | ₽3 698 |
| Claude Instant 1 | claude instant 1 | ₽149/M | ₽149/M | ₽3 720 |
| Yi Large Turbo | yi large turbo | ₽149/M | ₽149/M | ₽3 735 |
| Baichuan3 Turbo | Baichuan3 Turbo | ₽158/M | ₽158/M | ₽3 942 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽99.60/M | ₽398/M | ₽3 984 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽91.30/M | ₽456/M | ₽4 108 |
| Agnes Image 2.1 Flash | agnes image 2.1 flash | ₽166/M | ₽166/M | ₽4 150 |
| Auto | auto | ₽166/M | ₽166/M | ₽4 150 |
| Davinci | davinci | ₽166/M | ₽166/M | ₽4 150 |
| Describe | DESCRIBE | ₽166/M | ₽166/M | ₽4 150 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽166/M | ₽166/M | ₽4 150 |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽166/M | ₽166/M | ₽4 150 |
| Gemini | gemini exp 1206 | ₽104/M | ₽415/M | ₽4 150 |
| Gemini | gemini exp 1114 | ₽104/M | ₽415/M | ₽4 150 |
| Gemini | gemini exp 1121 | ₽104/M | ₽415/M | ₽4 150 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽415/M | ₽4 150 |
| GLM 4 Vision Plus | glm 4v plus | ₽166/M | ₽166/M | ₽4 150 |
| Glm Image | thudm | ₽166/M | ₽166/M | ₽4 150 |
| GLM Zero Preview | glm zero preview | ₽166/M | ₽166/M | ₽4 150 |
| Hy 3d 3.1 | hy 3d 3.1 | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 | imagen 4.0 | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 Ultra | imagen 4.0 ultra | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| Janus Pro 7B | deepseek ai | ₽166/M | ₽166/M | ₽4 150 |
| Learnlm 1.5 Pro Experimental | learnlm 1.5 pro experimental | ₽104/M | ₽415/M | ₽4 150 |
| MiniMax H3 | minimax h3 | ₽166/M | ₽166/M | ₽4 150 |
| Moonshot V1 8K | moonshot v1 8k | ₽166/M | ₽166/M | ₽4 150 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽166/M | ₽166/M | ₽4 150 |
| Sora 2 | Sora 2 | ₽166/M | ₽166/M | ₽4 150 |
| Sora 2 Pro | sora 2 pro | ₽166/M | ₽166/M | ₽4 150 |
| Step 2 16K | step 2 16k | ₽166/M | ₽166/M | ₽4 150 |
| Text Curie 001 | text curie 001 | ₽166/M | ₽166/M | ₽4 150 |
| Upscale | UPSCALE | ₽166/M | ₽166/M | ₽4 150 |
| V_1 | V_1 | ₽166/M | ₽166/M | ₽4 150 |
| V_1_turbo | V_1_TURBO | ₽166/M | ₽166/M | ₽4 150 |
| V_2 | V_2 | ₽166/M | ₽166/M | ₽4 150 |
| V_2_turbo | V_2_TURBO | ₽166/M | ₽166/M | ₽4 150 |
| V_2a | V_2A | ₽166/M | ₽166/M | ₽4 150 |
| V_2a_turbo | V_2A_TURBO | ₽166/M | ₽166/M | ₽4 150 |
| V3 | V3 | ₽166/M | ₽166/M | ₽4 150 |
| Veo 2.0 Generate 001 | veo 2.0 generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| Wan 2.7 Image | alibaba | ₽166/M | ₽166/M | ₽4 150 |
| Wan 2.7 Image Pro | alibaba | ₽166/M | ₽166/M | ₽4 150 |
| Cloudflare Glm 5.2 | cloudflare glm 5.2 | ₽116/M | ₽365/M | ₽4 150 |
| Muse Spark 1.1 | muse spark 1.1 | ₽114/M | ₽388/M | ₽4 223 |
| Muse Spark 1.2 | muse spark 1.2 | ₽114/M | ₽388/M | ₽4 223 |
| DeepSeek R1 Zero | deepseek ai | ₽183/M | ₽183/M | ₽4 565 |
| Cbs Glm 4.7 | cbs glm 4.7 | ₽187/M | ₽228/M | ₽4 876 |
| qwen3.7 max | qwen | ₽140/M | ₽421/M | ₽4 909 |
| Codex Mini | codex mini | ₽124/M | ₽498/M | ₽4 980 |
| Aihubmix Llama 3.2 90B Vision | aihubmix Llama 3 2 90B Vision | ₽199/M | ₽199/M | ₽4 980 |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽199/M | ₽199/M | ₽4 980 |
| Qwen3.6 Max | qwen3.6 max | ₽105/M | ₽631/M | ₽5 262 |
| Llama3 70B 8192(33) | llama3 70b 8192(33) | ₽220/M | ₽220/M | ₽5 499 |
| gemini 3.6 flash | ₽124/M | ₽622/M | ₽5 602 | |
| Aihubmix Mistral Large 2411 | aihubmix Mistral Large 2411 | ₽166/M | ₽498/M | ₽5 810 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.20 | x ai | ₽166/M | ₽498/M | ₽5 810 |
| Grok 4.20 Beta 0309 | grok 4.20 beta 0309 non reasoning | ₽166/M | ₽498/M | ₽5 810 |
| Grok 4.20 Beta 0309 (reasoning) | grok 4.20 beta 0309 reasoning | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.20 multi agent | x ai | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.5 | x ai | ₽166/M | ₽498/M | ₽5 810 |
| gpt 4o mini tts | openai | ₽49.80/M | ₽996/M | ₽5 976 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5 chat | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5 codex | 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 5.1 codex | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex max | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| Yi Large | yi large | ₽249/M | ₽249/M | ₽6 225 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽181/M | ₽543/M | ₽6 333 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽158/M | ₽664/M | ₽6 473 |
| gpt 3.5 turbo 16k | openai | ₽249/M | ₽332/M | ₽6 640 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| Grok 2 1212 | grok 2 1212 | ₽149/M | ₽747/M | ₽6 723 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽149/M | ₽747/M | ₽6 723 |
| Aihubmix Jamba 1.5 Large | aihubmix Jamba 1 5 Large | ₽183/M | ₽730/M | ₽7 304 |
| GLM 4.5 X | glm 4.5 x | ₽183/M | ₽740/M | ₽7 349 |
| claude sonnet 5 | anthropic | ₽166/M | ₽830/M | ₽7 470 |
| Baichuan3 Turbo 128K | Baichuan3 Turbo 128k | ₽315/M | ₽315/M | ₽7 885 |
| Cohere Command A | cohere command a | ₽207/M | ₽830/M | ₽8 300 |
| Command A Plus 05 2026 | command a plus 05 2026 | ₽207/M | ₽830/M | ₽8 300 |
| gemini 3 pro image | ₽166/M | ₽996/M | ₽8 300 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽166/M | ₽996/M | ₽8 300 |
| gemini 3.1 pro preview customtools | ₽166/M | ₽996/M | ₽8 300 | |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽207/M | ₽830/M | ₽8 300 |
| GPT 4o Transcribe Diarize | gpt 4o transcribe diarize | ₽207/M | ₽830/M | ₽8 300 |
| GPT 4o Zh | gpt 4o zh | ₽207/M | ₽830/M | ₽8 300 |
| gpt 5.6 terra | openai | ₽166/M | ₽996/M | ₽8 300 |
| gpt audio 1.5 | openai | ₽207/M | ₽830/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| Llama 3.1 405B (reasoning) | llama 3.1 405b reasoning | ₽332/M | ₽332/M | ₽8 300 |
| Moonshot V1 32K | moonshot v1 32k | ₽332/M | ₽332/M | ₽8 300 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽332/M | ₽332/M | ₽8 300 |
| Stable Diffusion 3.5 Large | Stable Diffusion 3 5 Large | ₽332/M | ₽332/M | ₽8 300 |
| Yi Large Rag | yi large rag | ₽332/M | ₽332/M | ₽8 300 |
| gpt 5.2 | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| GPT 5.2 High | gpt 5.2 high | ₽145/M | ₽1 162/M | ₽8 715 |
| GPT 5.2 Low | gpt 5.2 low | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.3 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.3 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| Aihubmix Mistral Large 2407 | aihubmix Mistral large 2407 | ₽249/M | ₽747/M | ₽8 715 |
| Mistral Large 2407 | Mistral large 2407 | ₽249/M | ₽747/M | ₽8 715 |
| Aihubmix Command R Plus | aihubmix command r plus | ₽232/M | ₽930/M | ₽9 296 |
| Command R Plus | command r plus | ₽232/M | ₽930/M | ₽9 296 |
| Meta Llama 3 70B | meta llama 3 70b | ₽398/M | ₽398/M | ₽9 949 |
| Computer Use Preview | computer use preview | ₽249/M | ₽996/M | ₽9 960 |
| O1 Mini | o1 mini | ₽249/M | ₽996/M | ₽9 960 |
| gpt 5.4 | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT 5.4 High | gpt 5.4 high | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT 5.4 Low | gpt 5.4 low | ₽207/M | ₽1 245/M | ₽10 375 |
| Mai Image 2.5 | mai image 2.5 | ₽415/M | ₽415/M | ₽10 375 |
| MAI Image 2.5 Pro (Text to Image) | microsoft | ₽415/M | ₽415/M | ₽10 375 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽249/M | ₽1 245/M | ₽11 205 |
| Grok 3 | grok 3 | ₽249/M | ₽1 245/M | ₽11 205 |
| kimi k3 | moonshotai | ₽249/M | ₽1 245/M | ₽11 205 |
| Distil Whisper Large V3 En | distil whisper large v3 en | ₽461/M | ₽461/M | ₽11 528 |
| Whisper Large V3 Turbo | openai | ₽461/M | ₽461/M | ₽11 528 |
| Aihubmix Mistral Large | aihubmix Mistral large | ₽332/M | ₽996/M | ₽11 620 |
| Llama 3.1 Sonar Huge 128K Online | llama 3.1 sonar huge 128k online | ₽465/M | ₽465/M | ₽11 620 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽274/M | ₽1 369/M | ₽12 325 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽274/M | ₽1 369/M | ₽12 325 |
| Grok 4 | grok 4 | ₽274/M | ₽1 369/M | ₽12 325 |
| Sonnet 3 | claude 3 sonnet 20240229 | ₽274/M | ₽1 369/M | ₽12 325 |
| gpt image 1.5 | openai | ₽415/M | ₽830/M | ₽12 450 |
| Aihubmix Llama 3.1 405B Instruct | aihubmix Llama 3 1 405B Instruct | ₽415/M | ₽1 245/M | ₽14 525 |
| Grok Vision Beta | grok vision beta | ₽465/M | ₽1 394/M | ₽16 268 |
| GLM-4 Plus | glm 4 plus | ₽664/M | ₽664/M | ₽16 600 |
| Ahm Phi 3 Medium 128K | ahm Phi 3 medium 128k | ₽498/M | ₽1 494/M | ₽17 430 |
| Claude 2 | claude 2 | ₽730/M | ₽730/M | ₽18 259 |
| Anthropic Opus 4.6 | anthropic opus 4 6 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.5 | claude opus 4 5 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.6 | claude opus 4 6 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.7 | claude opus 4 7 | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 4.8 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| Qwen Max Longcontext | qwen max longcontext | ₽581/M | ₽1 743/M | ₽20 334 |
| gpt 5.5 | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| GPT Chat | gpt chat latest | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt image 2 | gpt image 2 | ₽415/M | ₽2 490/M | ₽20 749 |
| Cogview 3 Plus | cogview 3 plus | ₽830/M | ₽830/M | ₽20 749 |
| Moonshot V1 128K | moonshot v1 128k | ₽830/M | ₽830/M | ₽20 749 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽830/M | ₽830/M | ₽20 749 |
| gpt image 1 | openai | ₽415/M | ₽3 320/M | ₽24 899 |
| gpt image 1 mini | openai | ₽415/M | ₽3 320/M | ₽24 899 |
| GPT Image Test | gpt image test | ₽415/M | ₽3 320/M | ₽24 899 |
| 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 |
| GLM 4 | glm 4 | ₽1 179/M | ₽1 179/M | ₽29 464 |
| GLM 4 Vision | glm 4v | ₽1 179/M | ₽1 179/M | ₽29 464 |
| Qwen Audio 3.0 Tts Flash | qwen audio 3.0 tts flash | ₽1 179/M | ₽1 179/M | ₽29 464 |
| Claude 2.0 | claude 2.0 | ₽730/M | ₽3 287/M | ₽31 041 |
| Claude 2.1 | claude 2.1 | ₽730/M | ₽3 287/M | ₽31 041 |
| Qwen Audio 3.0 Tts Plus | qwen audio 3.0 tts plus | ₽1 245/M | ₽1 245/M | ₽31 124 |
| tts 1 | openai | ₽1 245/M | ₽1 245/M | ₽31 124 |
| Tts 1 1106 | tts 1 1106 | ₽1 245/M | ₽1 245/M | ₽31 124 |
| Baichuan4 | Baichuan4 | ₽1 328/M | ₽1 328/M | ₽33 199 |
| Dall E 2 | dall e 2 | ₽1 328/M | ₽1 328/M | ₽33 199 |
| o3 deep research | openai | ₽830/M | ₽3 320/M | ₽33 199 |
| claude fable 5 | anthropic | ₽913/M | ₽4 565/M | ₽41 084 |
| Code Davinci Edit 001 | code davinci edit 001 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| Text Davinci 002 | text davinci 002 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| Text Search Ada Doc 001 | text search ada doc 001 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| O1 | o1 | ₽1 245/M | ₽4 980/M | ₽49 799 |
| Claude 3 Opus | claude 3 opus | ₽1 369/M | ₽6 847/M | ₽61 626 |
| Claude Opus 4 | claude opus 4 | ₽1 369/M | ₽6 847/M | ₽61 626 |
| kimi latest | kimi latest | ₽2 490/M | ₽2 490/M | ₽62 248 |
| tts 1 hd | openai | ₽2 490/M | ₽2 490/M | ₽62 248 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 490/M | ₽2 490/M | ₽62 248 |
| whisper large | whisper large | ₽2 559/M | ₽2 559/M | ₽63 979 |
| o3 pro | openai | ₽1 660/M | ₽6 640/M | ₽66 398 |
| Cogview 3 | cogview 3 | ₽2 946/M | ₽2 946/M | ₽73 660 |
| gpt 5 pro | openai | ₽1 245/M | ₽9 960/M | ₽74 698 |
| DALL E 3 | DALL E 3 | ₽3 320/M | ₽3 320/M | ₽82 998 |
| 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 |
| GPT 4 32K | gpt 4 32k | ₽4 980/M | ₽9 960/M | ₽149 396 |
| whisper 1 | openai | ₽8 300/M | ₽8 300/M | ₽207 494 |
| o1 pro | openai | ₽14 110/M | ₽56 438/M | ₽564 384 |
Без публичной цены
нет данных в открытых источниках · 20
▼
Без публичной цены
нет данных в открытых источниках · 20
| Модель | Maker | Примечание |
|---|---|---|
| glm 4.7 flash | z ai | — |
| K2.6 Code Preview (free) | k2.6 code preview free | — |
| kimi for coding | kimi for coding | — |
| laguna s 2.1 | laguna s 2.1 | — |
| Laguna Xs 2.1 (free) | laguna xs 2.1 free | — |
| Lfm 2.5 2.6b (free) | lfm 2.5 2.6b free | — |
| Ling 3.0 Flash (free) | ling 3.0 flash free | — |
| Ling 3.0 Tiny (free) | ling 3.0 tiny free | — |
| nemotron 3 nano omni 30b a3b reasoning | nvidia | — |
| Nemotron 3 Super 120B-A12B | nvidia | — |
| Nemotron 3 Ultra | nvidia | — |
| nemotron 3.5 content safety | nvidia | — |
| Nemotron 3.5 Lightning | NVIDIA | — |
| nemotron nano 12b v2 vl | nvidia | — |
| Nemotron Nano 9B V2 | NVIDIA | — |
| North Mini Code (free) | north mini code free | — |
| Xiaomi Mimo V2 Omni (free) | xiaomi mimo v2 omni free | — |
| Xiaomi Mimo V2 Pro (free) | xiaomi mimo v2 pro free | — |
| Xiaomi Mimo V2.5 (free) | xiaomi mimo v2.5 free | — |
| Xiaomi Mimo V2.5 Pro (free) | xiaomi mimo v2.5 pro free | — |
Текст и чат
оплата за токены · 661
▼
Текст и чат
оплата за токены · 661
| 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 |
| Yi VL Plus | yi vl plus | ₽0.07/M | ₽0.07/M | ₽2 |
| 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) | mistralai | ₽0.17/M | ₽0.17/M | ₽4 |
| DeepSeek R1 Distill Llama 8B | deepseek ai | ₽0.83/M | ₽0.83/M | ₽21 |
| DeepSeek R1 Distill Qwen 1.5b | deepseek ai | ₽0.83/M | ₽0.83/M | ₽21 |
| DeepSeek R1 Distill Qwen 7B | deepseek ai | ₽0.83/M | ₽0.83/M | ₽21 |
| deepseek ocr | deepseek ocr | ₽1.66/M | ₽1.66/M | ₽41 |
| DeepSeek R1t Chimera | tngtech | ₽1.66/M | ₽1.66/M | ₽41 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽1.66/M | ₽1.66/M | ₽41 |
| Gemma 2 9B It (free) | ₽1.66/M | ₽1.66/M | ₽41 | |
| Llama 3.1 405B | Llama 3.1 405B | ₽1.66/M | ₽1.66/M | ₽41 |
| llama 3.1 70b | llama 3.1 70b | ₽1.66/M | ₽1.66/M | ₽41 |
| Llama 3.1 8B | llama 3.1 8b | ₽1.66/M | ₽1.66/M | ₽41 |
| llama 3.2 11b vision:free | llama 3.2 11b vision instruct | ₽1.66/M | ₽1.66/M | ₽41 |
| Llama 3.2 3B | llama 3.2 3b | ₽1.66/M | ₽1.66/M | ₽41 |
| Omni Moderation | omni moderation latest | ₽1.66/M | ₽1.66/M | ₽41 |
| Qwen Text Embedding v3 | alibaba | ₽1.66/M | ₽1.66/M | ₽41 |
| text embedding 3 small | openai | ₽1.66/M | ₽1.66/M | ₽41 |
| ERNIE 4.5 0.3b | ernie 4.5 0.3b | ₽1.13/M | ₽4.52/M | ₽45 |
| Coding GLM 4.5 Air | coding glm 4.5 air | ₽1.16/M | ₽6.97/M | ₽58 |
| GLM Ocr | glm ocr | ₽2.34/M | ₽2.34/M | ₽59 |
| Bge Large Zh V1.5 | BAAI | ₽2.82/M | ₽2.82/M | ₽71 |
| Bge Reranker V2 M3 | BAAI | ₽2.82/M | ₽2.82/M | ₽71 |
| bge-large-en-v1.5 | baai | ₽2.82/M | ₽2.82/M | ₽71 |
| Deepinfra Llama 3.1 8B Instant | deepinfra llama 3.1 8b instant | ₽2.74/M | ₽4.56/M | ₽78 |
| Jina Embeddings V5 Text Nano | jina embeddings v5 text nano | ₽4.15/M | ₽4.15/M | ₽83 |
| Jina Embeddings V5 Text Small | jina embeddings v5 text small | ₽4.15/M | ₽4.15/M | ₽83 |
| GLM 4 9B 0414 | THUDM | ₽4.15/M | ₽4.15/M | ₽104 |
| GLM Z1 9B 0414 | THUDM | ₽4.15/M | ₽4.15/M | ₽104 |
| jina clip v1 | jina clip v1 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Colbert V2 | jina colbert v2 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Embeddings V3 | jina embeddings v3 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Reader | jina reader | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Reranker M0 | jina reranker m0 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Reranker V3 | jina reranker v3 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Reranker V3.5 | jina reranker v3.5 | ₽4.15/M | ₽4.15/M | ₽104 |
| Jina Search | jina search | ₽4.15/M | ₽4.15/M | ₽104 |
| Agnes 2.5 Flash | agnes 2.5 flash | ₽2.49/M | ₽12.45/M | ₽112 |
| Bce Reranker Base | bce reranker base | ₽5.64/M | ₽5.64/M | ₽113 |
| Cohere Rerank V4.0 Fast | cohere rerank v4.0 fast | ₽5.64/M | ₽5.64/M | ₽113 |
| Cohere Rerank V4.0 Pro | cohere rerank v4.0 pro | ₽5.64/M | ₽5.64/M | ₽113 |
| Embedding V1 | embedding 001 | ₽5.64/M | ₽5.64/M | ₽113 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽5.64/M | ₽5.64/M | ₽113 |
| qwen3-embedding-0.6b | qwen | ₽5.64/M | ₽5.64/M | ₽113 |
| Qwen Turbo | qwen turbo | ₽3.82/M | ₽7.64/M | ₽115 |
| Qwen Flash | alibaba | ₽1.66/M | ₽16.60/M | ₽116 |
| Qwen3-VL Flash | alibaba | ₽1.71/M | ₽17.10/M | ₽120 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽4.15/M | ₽8.30/M | ₽124 |
| Groq Llama 3.1 8B Instant | groq llama 3.1 8b instant | ₽4.56/M | ₽7.30/M | ₽128 |
| Pro · THUDM · GLM-4.1V-9B-Thinking | Pro | ₽3.32/M | ₽13.28/M | ₽133 |
| Bge Large En | bge large en | ₽5.64/M | ₽5.64/M | ₽141 |
| Bge Large Zh | bge large zh | ₽5.64/M | ₽5.64/M | ₽141 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽5.64/M | ₽5.64/M | ₽141 |
| Tao 8K | tao 8k | ₽5.64/M | ₽5.64/M | ₽141 |
| Embedding 2 | embedding 2 | ₽5.69/M | ₽5.69/M | ₽142 |
| Embedding 3 | embedding 3 | ₽5.69/M | ₽5.69/M | ₽142 |
| Nvidia Nemotron Nano 9B V2 | nvidia nemotron nano 9b v2 | ₽3.65/M | ₽14.61/M | ₽146 |
| Doubao Lite 32K | Doubao lite 32k | ₽4.98/M | ₽9.96/M | ₽149 |
| Doubao Lite 4K | Doubao lite 4k | ₽4.98/M | ₽9.96/M | ₽149 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽4.98/M | ₽9.96/M | ₽149 |
| Doubao Seed 2.0 Mini 260428 | doubao seed 2 0 mini 260428 | ₽2.34/M | ₽23.41/M | ₽164 |
| Qwen3.5 Flash | alibaba | ₽2.34/M | ₽23.41/M | ₽164 |
| GLM 4 32B | Z.ai | ₽6.64/M | ₽6.64/M | ₽166 |
| GLM Z1 32B 0414 | THUDM | ₽6.64/M | ₽6.64/M | ₽166 |
| Qwen2 7B Instruct | Qwen | ₽6.64/M | ₽6.64/M | ₽166 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽2.50/M | ₽25.01/M | ₽175 |
| CC GLM 4.6 | cc glm 4.6 | ₽4.98/M | ₽18.26/M | ₽191 |
| CC GLM 4.7 | cc glm 4.7 | ₽4.98/M | ₽18.26/M | ₽191 |
| CC GLM 5 | cc glm 5 | ₽4.98/M | ₽18.26/M | ₽191 |
| CC GLM 5 Turbo | cc glm 5 turbo | ₽4.98/M | ₽18.26/M | ₽191 |
| CC GLM 5.1 | cc glm 5.1 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 4.6 | coding glm 4.6 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 4.7 | coding glm 4.7 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 5 | coding glm 5 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 5 Turbo | coding glm 5 turbo | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 5.1 | coding glm 5.1 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding GLM 5.2 | coding glm 5.2 | ₽4.98/M | ₽18.26/M | ₽191 |
| Coding Xiaomi Mimo V2.5 | coding xiaomi mimo v2.5 | ₽6.64/M | ₽13.28/M | ₽199 |
| Embed V 4.0 | embed v 4 0 | ₽9.96/M | ₽9.96/M | ₽199 |
| Qianfan Ocr | qianfan ocr | ₽5.15/M | ₽20.58/M | ₽206 |
| CC MiniMax M2 | cc minimax m2 | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.1 | cc minimax m2.1 | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.5 | cc minimax m2.5 | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.5 Highspeed | cc minimax m2.5 highspeed | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.7 | cc minimax m2.7 | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M2.7 Highspeed | cc minimax m2.7 highspeed | ₽8.30/M | ₽8.30/M | ₽207 |
| CC MiniMax M3 | cc minimax m3 | ₽8.30/M | ₽8.30/M | ₽207 |
| DeepSeek Prover V2 671B | deepseek ai | ₽8.30/M | ₽8.30/M | ₽207 |
| DeepSeek R1 Distill Qwen 14B | deepseek ai | ₽8.30/M | ₽8.30/M | ₽207 |
| Doubao Embedding Large Text 240915 | doubao embedding large text 240915 | ₽8.30/M | ₽8.30/M | ₽207 |
| Gemma 7B It | gemma 7b it | ₽8.30/M | ₽8.30/M | ₽207 |
| GLM 4 Flash | glm 4 flash | ₽8.30/M | ₽8.30/M | ₽207 |
| GLM 4.1 Vision 9B Thinking | THUDM | ₽8.30/M | ₽8.30/M | ₽207 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽8.30/M | ₽8.30/M | ₽207 |
| Mm Minimax M2.7 Highspeed | mm minimax m2.7 highspeed | ₽8.30/M | ₽8.30/M | ₽207 |
| Text Embedding ADA | text embedding ada | ₽8.30/M | ₽8.30/M | ₽207 |
| Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 | deepinfra nvidia nemotron 3 nano 30b a3b2 | ₽5.48/M | ₽21.91/M | ₽219 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽5.48/M | ₽21.91/M | ₽219 |
| ERNIE 4.5 | ernie 4.5 | ₽5.64/M | ₽22.58/M | ₽226 |
| Ling Mini 2.0 | inclusionAI | ₽5.64/M | ₽22.58/M | ₽226 |
| gte rerank | gte rerank | ₽9.13/M | ₽9.13/M | ₽228 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽9.13/M | ₽9.13/M | ₽228 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽9.13/M | ₽9.13/M | ₽228 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽9.13/M | ₽9.13/M | ₽228 |
| Aihubmix Phi 4 Mini (reasoning) | AiHubmix Phi 4 mini reasoning | ₽9.96/M | ₽9.96/M | ₽249 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| Doubao Seed 1.6 Flash | doubao seed 1 6 flash | ₽3.65/M | ₽36.52/M | ₽256 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽3.65/M | ₽36.52/M | ₽256 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.82/M | ₽38.18/M | ₽267 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.82/M | ₽38.18/M | ₽267 |
| Qwen3 4B | qwen3 4b | ₽3.82/M | ₽38.18/M | ₽267 |
| text embedding 3 large | openai | ₽10.79/M | ₽10.79/M | ₽270 |
| qwen3.5 35b a3b | qwen | ₽4.68/M | ₽37.45/M | ₽281 |
| Deepinfra Llama 4 Scout 17B 16e Instruct | deepinfra llama 4 scout 17b 16e instruct | ₽7.30/M | ₽27.39/M | ₽283 |
| Gme Qwen2 VL 2B Instruct | gme qwen2 vl 2b instruct | ₽11.45/M | ₽11.45/M | ₽286 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽8.96/M | ₽22.41/M | ₽291 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽9.10/M | ₽22.74/M | ₽296 |
| Coding Xiaomi Mimo V2 Omni | coding xiaomi mimo v2 omni | ₽6.64/M | ₽33.20/M | ₽299 |
| Deepinfra Gemma 4 26B A4B It | deepinfra gemma 4 26b a4b it | ₽7.30/M | ₽31.95/M | ₽306 |
| Step 3.5 Flash | step 3.5 flash | ₽9.13/M | ₽27.39/M | ₽320 |
| Deepinfra Llama 3.3 70B Instant Turbo | deepinfra llama 3.3 70b instant turbo | ₽9.13/M | ₽29.22/M | ₽329 |
| Baichuan4 Air | Baichuan4 Air | ₽13.28/M | ₽13.28/M | ₽332 |
| DeepSeek Llm 67B Chat | deepseek ai | ₽13.28/M | ₽13.28/M | ₽332 |
| DeepSeek Vl2 | deepseek ai | ₽13.28/M | ₽13.28/M | ₽332 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| Gemini Embedding 2 | gemini embedding 2 | ₽16.60/M | ₽16.60/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| qwen 2.5 coder 32b instruct | qwen | ₽13.28/M | ₽13.28/M | ₽332 |
| Qwen Long | qwen long | ₽8.30/M | ₽33.20/M | ₽332 |
| Qwq 32b | qwen | ₽13.28/M | ₽13.28/M | ₽332 |
| qwen3 30b a3b instruct 2507 | qwen | ₽8.53/M | ₽34.13/M | ₽341 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽8.53/M | ₽34.13/M | ₽341 |
| Doubao Lite 128K | Doubao lite 128k | ₽11.62/M | ₽23.24/M | ₽349 |
| deepseek v4 flash | deepseek | ₽11.79/M | ₽23.57/M | ₽354 |
| Groq Llama 4 Scout 17B 16e Instruct | groq llama 4 scout 17b 16e instruct | ₽10.13/M | ₽30.38/M | ₽354 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽8.96/M | ₽35.86/M | ₽359 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽11.12/M | ₽27.80/M | ₽361 |
| ERNIE 4.5 Turbo | ernie 4.5 turbo | ₽9.13/M | ₽36.52/M | ₽365 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽9.13/M | ₽36.52/M | ₽365 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽7.50/M | ₽45.02/M | ₽375 |
| Doubao Seed 2.0 Lite 260428 | doubao seed 2 0 lite 260428 | ₽7.50/M | ₽45.02/M | ₽375 |
| Doubao Pro 32K | Doubao pro 32k | ₽11.62/M | ₽29.05/M | ₽378 |
| Doubao Pro 4K | Doubao pro 4k | ₽11.62/M | ₽29.05/M | ₽378 |
| mimo v2.5 | mimo v2.5 | ₽12.86/M | ₽25.73/M | ₽386 |
| glm 4.6v | z ai | ₽11.37/M | ₽34.11/M | ₽398 |
| gemma 4 26b a4b it | ₽11.62/M | ₽33.20/M | ₽398 | |
| gemma 4 31b it | ₽11.62/M | ₽33.20/M | ₽398 | |
| Aihub Phi 4 | aihub Phi 4 | ₽9.96/M | ₽39.84/M | ₽398 |
| Aihub Phi 4 Mini Instruct | aihub Phi 4 mini instruct | ₽9.96/M | ₽39.84/M | ₽398 |
| Aihub Phi 4 Multimodal Instruct | aihub Phi 4 multimodal instruct | ₽9.96/M | ₽39.84/M | ₽398 |
| DeepSeek Coder V2 Instruct | deepseek ai | ₽13.28/M | ₽26.56/M | ₽398 |
| DeepSeek V2 Chat | deepseek ai | ₽13.28/M | ₽26.56/M | ₽398 |
| DeepSeek V2.5 | deepseek ai | ₽13.28/M | ₽26.56/M | ₽398 |
| Doubao Seed 1.6 Lite | doubao seed 1 6 lite | ₽6.81/M | ₽54.45/M | ₽408 |
| gpt oss 20b | openai | ₽9.13/M | ₽45.65/M | ₽411 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽9.13/M | ₽45.65/M | ₽411 |
| CC Doubao Seed Code Preview | cc doubao seed code preview latest | ₽16.60/M | ₽16.60/M | ₽415 |
| CC K2.6 Code Preview | cc k2.6 code preview | ₽16.60/M | ₽16.60/M | ₽415 |
| CC Kimi For Coding | cc kimi for coding | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2 | coding minimax m2 | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.1 | coding minimax m2.1 | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.5 | coding minimax m2.5 | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.5 Highspeed | coding minimax m2.5 highspeed | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.7 | coding minimax m2.7 | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M2.7 Highspeed | coding minimax m2.7 highspeed | ₽16.60/M | ₽16.60/M | ₽415 |
| Coding MiniMax M3 | coding minimax m3 | ₽16.60/M | ₽16.60/M | ₽415 |
| DeepSeek R1 Distill Qwen 32B | deepseek ai | ₽16.60/M | ₽16.60/M | ₽415 |
| Doubao-Seed-Code | ByteDance | ₽16.60/M | ₽16.60/M | ₽415 |
| gemma 3 12b it | ₽16.60/M | ₽16.60/M | ₽415 | |
| Gemma 3 1B It | gemma 3 1b it | ₽16.60/M | ₽16.60/M | ₽415 |
| gemma 3 27b it | ₽16.60/M | ₽16.60/M | ₽415 | |
| Gemma 3 4B It | gemma 3 4b it | ₽16.60/M | ₽16.60/M | ₽415 |
| gemma 3n e4b it | ₽16.60/M | ₽16.60/M | ₽415 | |
| Google Gemma 3 12B It | google gemma 3 12b it | ₽16.60/M | ₽16.60/M | ₽415 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽16.60/M | ₽16.60/M | ₽415 |
| Google Gemma 3 4B It | google gemma 3 4b it | ₽16.60/M | ₽16.60/M | ₽415 |
| Hunyuan Mt 7B | tencent | ₽16.60/M | ₽16.60/M | ₽415 |
| llama 3.2 1b:free | meta llama | ₽16.60/M | ₽16.60/M | ₽415 |
| Llama 4 Maverick | llama 4 maverick | ₽16.60/M | ₽16.60/M | ₽415 |
| Llama 4 Scout | llama 4 scout | ₽16.60/M | ₽16.60/M | ₽415 |
| Moonlight 16B A3B Instruct | moonshotai | ₽16.60/M | ₽16.60/M | ₽415 |
| Qwen2 1.5b Instruct | Qwen | ₽16.60/M | ₽16.60/M | ₽415 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽16.60/M | ₽16.60/M | ₽415 |
| qwen3 8b | qwen | ₽16.60/M | ₽16.60/M | ₽415 |
| Text Moderation | text moderation latest | ₽16.60/M | ₽16.60/M | ₽415 |
| Text Moderation 007 | text moderation 007 | ₽16.60/M | ₽16.60/M | ₽415 |
| Text Moderation Stable | text moderation stable | ₽16.60/M | ₽16.60/M | ₽415 |
| Yi Lightning | yi lightning | ₽16.60/M | ₽16.60/M | ₽415 |
| qwen3.5 27b | qwen | ₽7.02/M | ₽56.17/M | ₽421 |
| ERNIE X1 Turbo | ernie x1 turbo | ₽11.29/M | ₽45.15/M | ₽452 |
| ERNIE X1.1 Preview | ERNIE X1.1 Preview | ₽11.29/M | ₽45.15/M | ₽452 |
| Ling Flash 2.0 | inclusionAI | ₽11.29/M | ₽45.15/M | ₽452 |
| qwen3 coder flash | qwen | ₽11.29/M | ₽45.15/M | ₽452 |
| Ring Flash 2.0 | inclusionAI | ₽11.29/M | ₽45.15/M | ₽452 |
| qwen3.5 plus | qwen3.5 plus | ₽9.10/M | ₽54.58/M | ₽455 |
| DeepSeek R1 Distill Qianfan Llama 8B | deepseek r1 distill qianfan llama 8b | ₽11.37/M | ₽45.48/M | ₽455 |
| Kat Dev | kat dev | ₽11.37/M | ₽45.48/M | ₽455 |
| qwen3 coder next | qwen | ₽11.37/M | ₽45.48/M | ₽455 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.45/M | ₽45.81/M | ₽458 |
| hunyuan a13b | hunyuan a13b | ₽11.62/M | ₽46.48/M | ₽465 |
| Coding Xiaomi Mimo V2.5 Pro | coding xiaomi mimo v2.5 pro | ₽16.60/M | ₽33.20/M | ₽498 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽12.45/M | ₽49.80/M | ₽498 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽49.80/M | ₽498 |
| Qwen2 57B A14B Instruct | Qwen | ₽19.92/M | ₽19.92/M | ₽498 |
| Qwen2.5 Coder 1.5b Instruct | qwen2.5 coder 1.5b instruct | ₽16.60/M | ₽33.20/M | ₽498 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽16.60/M | ₽33.20/M | ₽498 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽16.60/M | ₽33.20/M | ₽498 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽19.92/M | ₽19.92/M | ₽498 |
| Hy3 | hy3 | ₽14.11/M | ₽47.03/M | ₽517 |
| Longcat Flash Chat | LongCat Flash Chat | ₽11.62/M | ₽58.10/M | ₽523 |
| qwen3 32b | qwen | ₽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 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok Code Fast 1 | grok code fast 1 | ₽16.60/M | ₽41.50/M | ₽539 |
| Qwen-MT Turbo | alibaba | ₽15.94/M | ₽44.40/M | ₽541 |
| Seed Oss 36B Instruct | ByteDance Seed | ₽16.60/M | ₽44.32/M | ₽554 |
| mimo v2 flash | xiaomi | ₽15.92/M | ₽47.76/M | ₽557 |
| qwen3.5 122b a10b | qwen | ₽9.35/M | ₽74.76/M | ₽561 |
| Claude 3 Haiku | Anthropic | ₽22.82/M | ₽22.82/M | ₽571 |
| Coding Xiaomi Mimo V2 Pro | coding xiaomi mimo v2 pro | ₽16.60/M | ₽49.80/M | ₽581 |
| Gemini Pro | gemini pro | ₽16.60/M | ₽49.80/M | ₽581 |
| glm 4.5 air | z ai | ₽11.62/M | ₽69.72/M | ₽581 |
| Qianfan Qi VL | qianfan qi vl | ₽16.60/M | ₽49.80/M | ₽581 |
| Chatglm_lite | chatglm_lite | ₽23.72/M | ₽23.72/M | ₽593 |
| CC DeepSeek V3 | cc deepseek v3 | ₽24.90/M | ₽24.90/M | ₽622 |
| Llama 3.1 Sonar Small 128K Online | llama 3.1 sonar small 128k online | ₽24.90/M | ₽24.90/M | ₽622 |
| Llama3 8B 8192(33) | llama3 8b 8192(33) | ₽24.90/M | ₽24.90/M | ₽622 |
| Llama3 8B Chat | meta | ₽24.90/M | ₽24.90/M | ₽622 |
| Alicloud Deepseek V3.2 | alicloud deepseek v3.2 | ₽22.74/M | ₽34.11/M | ₽625 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽9.10/M | ₽90.96/M | ₽637 |
| Groq Llama 4 Maverick 17B 128e Instruct | groq llama 4 maverick 17b 128e instruct | ₽18.26/M | ₽54.78/M | ₽639 |
| Nvidia Nemotron Nano 12B V2 VL | nvidia nemotron nano 12b v2 vl | ₽18.26/M | ₽54.78/M | ₽639 |
| Qwen Plus | qwen plus | ₽9.35/M | ₽93.46/M | ₽654 |
| Aihubmix Command R 08 2024 | aihubmix command r 08 2024 | ₽16.60/M | ₽66.40/M | ₽664 |
| Command R | command r | ₽16.60/M | ₽66.40/M | ₽664 |
| Mistral Small 3.1 24B Instruct 2503 | chutesai | ₽16.60/M | ₽66.40/M | ₽664 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽16.60/M | ₽66.40/M | ₽664 |
| gpt oss 120b | openai | ₽14.94/M | ₽74.70/M | ₽672 |
| qwen3.5 397b a17b | qwen | ₽13.64/M | ₽81.87/M | ₽682 |
| deepseek v3.2 | deepseek | ₽25.07/M | ₽37.60/M | ₽689 |
| qwen3 30b a3b | qwen | ₽9.96/M | ₽99.60/M | ₽697 |
| MiniMax Text 01 | MiniMax Text 01 | ₽11.62/M | ₽92.96/M | ₽697 |
| qwen3.6 flash | qwen | ₽14.03/M | ₽84.16/M | ₽701 |
| Grok 3 Mini | grok 3 mini | ₽24.90/M | ₽41.58/M | ₽706 |
| Qianfan Llama VL 8B | qianfan llama vl 8b | ₽22.74/M | ₽56.85/M | ₽739 |
| Aihubmix Llama 3.1 8B Instruct | aihubmix Llama 3 1 8B Instruct | ₽24.90/M | ₽49.80/M | ₽747 |
| Llama 3.1 8B Instant | llama 3.1 8b instant | ₽24.90/M | ₽49.80/M | ₽747 |
| Llama3.1 8B | llama3.1 8b | ₽24.90/M | ₽49.80/M | ₽747 |
| Qwen2 VL 7B Instruct | Qwen2 VL 7B Instruct | ₽23.24/M | ₽58.10/M | ₽755 |
| glm 4.5v | z ai | ₽22.74/M | ₽68.22/M | ₽796 |
| Qwen3-VL Plus | alibaba | ₽11.37/M | ₽114/M | ₽796 |
| Aihubmix Llama 3.2 11B Vision | aihubmix Llama 3 2 11B Vision | ₽33.20/M | ₽33.20/M | ₽830 |
| gpt 5.6 luna | openai | ₽16.60/M | ₽99.60/M | ₽830 |
| Mythomax L2 13B | Gryphe | ₽33.20/M | ₽33.20/M | ₽830 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽33.20/M | ₽33.20/M | ₽830 |
| Text Ada 001 | text ada 001 | ₽33.20/M | ₽33.20/M | ₽830 |
| Yi Medium | yi medium | ₽33.20/M | ₽33.20/M | ₽830 |
| gpt 5.4 nano | openai | ₽16.60/M | ₽104/M | ₽851 |
| DeepSeek V3 | deepseek search | ₽22.58/M | ₽90.30/M | ₽903 |
| glm 4.6 | z ai | ₽22.74/M | ₽90.96/M | ₽910 |
| glm 4.7 | z ai | ₽22.74/M | ₽90.96/M | ₽910 |
| Bai Qwen3 VL 235B A22B Instruct | bai qwen3 vl 235b a22b instruct | ₽22.74/M | ₽90.97/M | ₽910 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽22.74/M | ₽90.97/M | ₽910 |
| Step 3.7 Flash | step 3.7 flash | ₽18.26/M | ₽110/M | ₽913 |
| qwen3 14b | qwen | ₽13.28/M | ₽133/M | ₽930 |
| qwen3 235b a22b | qwen | ₽23.24/M | ₽92.96/M | ₽930 |
| Qwen3 235B A22B Instruct | alibaba | ₽23.24/M | ₽92.96/M | ₽930 |
| Qwen3.7 Flash | qwen3.7 flash | ₽23.41/M | ₽93.62/M | ₽936 |
| qwen3.7 plus | qwen | ₽23.41/M | ₽93.62/M | ₽936 |
| Alicloud Minimax M2.5 | alicloud minimax m2.5 | ₽23.87/M | ₽95.48/M | ₽955 |
| minimax m2 | minimax | ₽23.90/M | ₽95.61/M | ₽956 |
| minimax m2.1 | minimax | ₽23.90/M | ₽95.61/M | ₽956 |
| minimax m2.5 | minimax | ₽23.90/M | ₽95.61/M | ₽956 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽23.90/M | ₽95.61/M | ₽956 |
| minimax m3 | minimax | ₽23.90/M | ₽95.61/M | ₽956 |
| Qwen 3.8 Max | alibaba | ₽28.05/M | ₽84.16/M | ₽982 |
| minimax m2.7 | minimax | ₽24.55/M | ₽98.20/M | ₽982 |
| gemini 2.5 flash image | ₽24.90/M | ₽99.60/M | ₽996 | |
| Qwen Qwq 32B | qwen qwq 32b | ₽33.20/M | ₽66.40/M | ₽996 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽33.20/M | ₽66.40/M | ₽996 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽41.50/M | ₽41.50/M | ₽1 037 |
| gemini 3.1 flash lite | ₽20.75/M | ₽124/M | ₽1 037 | |
| gemini 3.1 flash lite image | ₽20.75/M | ₽124/M | ₽1 037 | |
| Llama 3.1 Nemotron Ultra 253B | llama 3.1 nemotron ultra 253b | ₽41.50/M | ₽41.50/M | ₽1 037 |
| llama 3.2 90b vision:free | meta llama | ₽41.50/M | ₽41.50/M | ₽1 037 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽41.50/M | ₽41.50/M | ₽1 037 |
| Llama2 70B 40960 | llama2 70b 40960 | ₽41.50/M | ₽41.50/M | ₽1 037 |
| qwen2.5 vl 72b instruct | qwen | ₽41.50/M | ₽41.50/M | ₽1 037 |
| Text Babbage 001 | text babbage 001 | ₽41.50/M | ₽41.50/M | ₽1 037 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽14.94/M | ₽149/M | ₽1 046 |
| Qwen 3 235B A22B Instruct 2507 | qwen 3 235b a22b instruct 2507 | ₽23.24/M | ₽116/M | ₽1 046 |
| qwen3.6 35b a3b | qwen | ₽21.08/M | ₽126/M | ₽1 054 |
| CC ERNIE 4.5 300B A47B | cc ernie 4.5 300b a47b | ₽26.56/M | ₽106/M | ₽1 062 |
| CC Kimi Dev 72B | cc kimi dev 72b | ₽26.56/M | ₽106/M | ₽1 062 |
| ERNIE 4.5 300B A47B | baidu | ₽26.56/M | ₽106/M | ₽1 062 |
| Kimi Dev 72B | moonshotai | ₽26.56/M | ₽106/M | ₽1 062 |
| Deepinfra Llama 4 Maverick 17B 128e Instruct | deepinfra llama 4 maverick 17b 128e instruct | ₽27.39/M | ₽110/M | ₽1 096 |
| Agnes 2.5 Pro | agnes 2.5 pro | ₽37.35/M | ₽74.70/M | ₽1 120 |
| Meta Llama 3 8B | meta llama 3 8b | ₽45.48/M | ₽45.48/M | ₽1 137 |
| deepseek v4 pro | deepseek | ₽38.51/M | ₽77.02/M | ₽1 155 |
| Aihubmix Codestral 2501 | aihubmix Codestral 2501 | ₽33.20/M | ₽99.60/M | ₽1 162 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽33.20/M | ₽99.60/M | ₽1 162 |
| Mistral Codestral | mistral | ₽33.20/M | ₽99.60/M | ₽1 162 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽33.20/M | ₽99.60/M | ₽1 162 |
| qwen3.6 plus | qwen | ₽23.41/M | ₽140/M | ₽1 170 |
| mimo v2.5 pro | mimo v2.5 pro | ₽39.84/M | ₽79.68/M | ₽1 195 |
| gpt 5.1 codex mini | openai | ₽20.75/M | ₽166/M | ₽1 245 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| Cerebras Llama 3.3 70B | cerebras llama 3.3 70b | ₽49.80/M | ₽49.80/M | ₽1 245 |
| deepseek r1 distill llama 70b | deepseek | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Llama 3.1 70B Versatile | llama 3.1 70b versatile | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Llama 3.3 70B | llama 3.3 70b | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽49.80/M | ₽49.80/M | ₽1 245 |
| Qwen Max | qwen max | ₽31.54/M | ₽126/M | ₽1 262 |
| Aihubmix Llama 3.1 70B Instruct | aihubmix Llama 3 1 70B Instruct | ₽49.80/M | ₽64.74/M | ₽1 320 |
| Ahm Phi 3.5 Moe Instruct | ahm Phi 3 5 MoE instruct | ₽33.20/M | ₽133/M | ₽1 328 |
| Ahm Phi 3.5 Vision Instruct | ahm Phi 3 5 vision instruct | ₽33.20/M | ₽133/M | ₽1 328 |
| Aihubmix Router | aihubmix router | ₽33.20/M | ₽133/M | ₽1 328 |
| glm 4.5 | z ai | ₽33.20/M | ₽133/M | ₽1 328 |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| Qwen 3 32B | qwen 3 32b | ₽33.20/M | ₽133/M | ₽1 328 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽38.18/M | ₽115/M | ₽1 336 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽14.94/M | ₽209/M | ₽1 345 |
| Coding Kimi K3 | coding kimi k3 | ₽36.52/M | ₽134/M | ₽1 400 |
| Qwen-MT Plus | alibaba | ₽40.83/M | ₽123/M | ₽1 429 |
| Groq Llama 3.3 70B Versatile | groq llama 3.3 70b versatile | ₽53.87/M | ₽72.13/M | ₽1 438 |
| Aihubmix Llama 3 70B Instruct | aihubmix Llama 3 70B Instruct | ₽58.10/M | ₽58.10/M | ₽1 452 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽58.10/M | ₽58.10/M | ₽1 452 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽124/M | ₽1 452 |
| Mistral Large 3 | mistral large 3 | ₽41.50/M | ₽124/M | ₽1 452 |
| GLM 3 Turbo | glm 3 turbo | ₽58.93/M | ₽58.93/M | ₽1 473 |
| Alicloud Glm 4.7 | alicloud glm 4.7 | ₽34.11/M | ₽159/M | ₽1 478 |
| Chatglm_std | chatglm_std | ₽59.29/M | ₽59.29/M | ₽1 482 |
| Chatglm_turbo | chatglm_turbo | ₽59.29/M | ₽59.29/M | ₽1 482 |
| Aihubmix Mistral Medium | AiHubmix mistral medium | ₽33.20/M | ₽166/M | ₽1 494 |
| DeepSeek R1 | deepseek r1 | ₽33.20/M | ₽166/M | ₽1 494 |
| Qwen3 Max | qwen3 max | ₽37.42/M | ₽150/M | ₽1 497 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 3.5 flash lite | ₽24.90/M | ₽207/M | ₽1 535 | |
| Llama3 70B 8192 | llama3 70b 8192 | ₽58.10/M | ₽77.79/M | ₽1 551 |
| Qwen 3 235B A22B Thinking 2507 | qwen 3 235b a22b thinking 2507 | ₽23.24/M | ₽232/M | ₽1 627 |
| CC DeepSeek V3.1 | cc deepseek v3.1 | ₽46.48/M | ₽139/M | ₽1 627 |
| deepseek v3.1 | deepseek v3.1 | ₽46.48/M | ₽139/M | ₽1 627 |
| deepseek v3.1 terminus | deepseek | ₽46.48/M | ₽139/M | ₽1 627 |
| mimo v2 omni | mimo v2 omni | ₽36.52/M | ₽183/M | ₽1 643 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽56.77/M | ₽102/M | ₽1 646 |
| gemma 2 27b it | ₽66.40/M | ₽66.40/M | ₽1 660 | |
| qwen 2.5 72b instruct | qwen | ₽66.40/M | ₽66.40/M | ₽1 660 |
| Qwen2 72B Instruct | Qwen | ₽66.40/M | ₽66.40/M | ₽1 660 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽66.40/M | ₽66.40/M | ₽1 660 |
| Azure Deepseek V3.2 | azure deepseek v3.2 | ₽48.14/M | ₽139/M | ₽1 660 |
| Azure Deepseek V3.2 Speciale | azure deepseek v3.2 speciale | ₽48.14/M | ₽139/M | ₽1 660 |
| Qianfan Chinese Llama 2 13B | qianfan chinese llama 2 13b | ₽68.22/M | ₽68.22/M | ₽1 706 |
| Doubao Seed 2.1 Turbo | doubao seed 2 1 turbo | ₽38.57/M | ₽193/M | ₽1 736 |
| qwen3.6 27b | qwen | ₽35.03/M | ₽210/M | ₽1 751 |
| Kimi K2 | kimi k2 | ₽44.82/M | ₽179/M | ₽1 793 |
| qwen3 coder plus | qwen | ₽44.82/M | ₽179/M | ₽1 793 |
| Doubao Seed 2.0 Code | Doubao Seed 2.0 Code | ₽40.02/M | ₽200/M | ₽1 801 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽40.02/M | ₽200/M | ₽1 801 |
| Alicloud Kimi K2 Instruct | alicloud kimi k2 instruct | ₽45.48/M | ₽182/M | ₽1 819 |
| CC Kimi K2 Instruct | cc kimi k2 instruct | ₽45.48/M | ₽182/M | ₽1 819 |
| Ling 1t | inclusionAI | ₽45.48/M | ₽182/M | ₽1 819 |
| Ring 1t | inclusionAI | ₽45.48/M | ₽182/M | ₽1 819 |
| Sf Kimi K2 Thinking | sf kimi k2 thinking | ₽45.48/M | ₽182/M | ₽1 819 |
| Aihubmix Cohere Command R | aihubmix Cohere command r | ₽53.12/M | ₽159/M | ₽1 859 |
| Wizardcoder Python 34B V1.0 | WizardLM | ₽74.70/M | ₽74.70/M | ₽1 867 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽66.40/M | ₽120/M | ₽1 926 |
| Doubao Pro 128K | Doubao pro 128k | ₽66.40/M | ₽120/M | ₽1 926 |
| Doubao Pro 256K | Doubao pro 256k | ₽66.40/M | ₽120/M | ₽1 926 |
| Alicloud Glm 5 | alicloud glm 5 | ₽46.76/M | ₽210/M | ₽1 987 |
| ERNIE 5.1 | ernie 5.1 | ₽46.76/M | ₽210/M | ₽1 987 |
| MiniMax M1 80K | MiniMaxAI | ₽49.80/M | ₽199/M | ₽1 992 |
| Doubao 1.5 Thinking Pro | Doubao 1.5 thinking pro | ₽51.46/M | ₽206/M | ₽2 058 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽83.00/M | ₽83.00/M | ₽2 075 |
| Gemini 3 Flash | gemini 3 flash | ₽41.50/M | ₽249/M | ₽2 075 |
| gemini 3.1 flash image | ₽41.50/M | ₽249/M | ₽2 075 | |
| Gemini Pro Vision | gemini pro vision | ₽83.00/M | ₽83.00/M | ₽2 075 |
| Alicloud Kimi K2.5 | alicloud kimi k2.5 | ₽45.48/M | ₽239/M | ₽2 104 |
| Azure Kimi K2.5 | azure kimi k2.5 | ₽49.80/M | ₽249/M | ₽2 241 |
| Kimi K2.5 | kimi k2.5 | ₽49.80/M | ₽249/M | ₽2 241 |
| Moonshot Kimi K2.5 | moonshot kimi k2.5 | ₽49.80/M | ₽249/M | ₽2 241 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽66.40/M | ₽199/M | ₽2 324 |
| glm 5v turbo | z ai | ₽58.45/M | ₽257/M | ₽2 455 |
| Command | command | ₽83.00/M | ₽166/M | ₽2 490 |
| Command Light | command light | ₽83.00/M | ₽166/M | ₽2 490 |
| Command Light Nightly | command light nightly | ₽83.00/M | ₽166/M | ₽2 490 |
| Command Nightly | command nightly | ₽83.00/M | ₽166/M | ₽2 490 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽83.00/M | ₽166/M | ₽2 490 |
| grok build 0.1 | x ai | ₽83.00/M | ₽166/M | ₽2 490 |
| Llama 3.1 Sonar Large 128K Online | llama 3.1 sonar large 128k online | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Qvq 72B Preview | Qwen | ₽99.60/M | ₽99.60/M | ₽2 490 |
| Longcat 2.0 | longcat 2.0 | ₽64.29/M | ₽257/M | ₽2 572 |
| GLM-5 | glm 5 | ₽73.04/M | ₽234/M | ₽2 629 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽68.06/M | ₽272/M | ₽2 722 |
| ERNIE 5.0 | ernie 5.0 | ₽68.22/M | ₽273/M | ₽2 729 |
| Nvidia Llama 3.1 Nemotron 70B Instruct | nvidia llama 3.1 nemotron 70b instruct | ₽110/M | ₽110/M | ₽2 739 |
| glm 5.1 | z ai | ₽70.13/M | ₽281/M | ₽2 805 |
| Ahm Phi 3 Medium 4K | ahm Phi 3 medium 4k | ₽83.00/M | ₽249/M | ₽2 905 |
| Ahm Phi 3 Small 128K | ahm Phi 3 small 128k | ₽83.00/M | ₽249/M | ₽2 905 |
| Ahm Phi 3.5 Mini Instruct | ahm Phi 3 5 mini instruct | ₽83.00/M | ₽249/M | ₽2 905 |
| Chatglm_pro | chatglm_pro | ₽119/M | ₽119/M | ₽2 964 |
| Step3 | stepfun ai | ₽91.30/M | ₽228/M | ₽2 967 |
| Claude Instant 1.2 | claude instant 1.2 | ₽73.04/M | ₽329/M | ₽3 104 |
| gpt 5.4 mini | openai | ₽62.25/M | ₽373/M | ₽3 112 |
| grok 4.3 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| mimo v2 pro | mimo v2 pro | ₽91.30/M | ₽274/M | ₽3 195 |
| kimi k2.6 | moonshotai | ₽78.85/M | ₽332/M | ₽3 237 |
| kimi k2.7 code | moonshotai | ₽78.85/M | ₽332/M | ₽3 237 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 2.0 Mini 260615 | doubao seedance 2 0 mini 260615 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedance 2.5 260628 | doubao seedance 2 5 260628 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedream 4.0 | doubao seedream 4 0 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedream 4.5 | doubao seedream 4 5 | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedream 5.0 Lite | doubao seedream 5.0 lite | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seedream 5.0 Pro | doubao seedream 5.0 pro | ₽166/M | ₽166/M | ₽3 320 |
| ERNIE Image Turbo | ernie image turbo | ₽166/M | ₽166/M | ₽3 320 |
| Flux 2 Pro | black forest labs | ₽166/M | ₽166/M | ₽3 320 |
| Flux Kontext Max | flux kontext max | ₽166/M | ₽166/M | ₽3 320 |
| FLUX.2 [flex] | black forest labs | ₽166/M | ₽166/M | ₽3 320 |
| Fx Flux 2 Pro | fx flux 2 pro | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.0 I2v | happyhorse 1.0 i2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.0 R2v | happyhorse 1.0 r2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.0 T2v | happyhorse 1.0 t2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.1 I2v | happyhorse 1.1 i2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.1 R2v | happyhorse 1.1 r2v | ₽166/M | ₽166/M | ₽3 320 |
| Happyhorse 1.1 T2v | happyhorse 1.1 t2v | ₽166/M | ₽166/M | ₽3 320 |
| Kling V3 Omni | kling v3 omni | ₽166/M | ₽166/M | ₽3 320 |
| Kling Video O1 | kling video o1 | ₽166/M | ₽166/M | ₽3 320 |
| Musesteamer Air Image | musesteamer air image | ₽166/M | ₽166/M | ₽3 320 |
| Paddleocr VL 0.9b | paddleocr vl 0.9b | ₽166/M | ₽166/M | ₽3 320 |
| Pp Structurev3 | pp structurev3 | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image 2.0 | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image 2.0 Pro | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image 3.0 | qwen image 3.0 | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image 3.0 Pro | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image Edit | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Qwen Image Max | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Sonar | perplexity | ₽133/M | ₽133/M | ₽3 320 |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽166/M | ₽166/M | ₽3 320 |
| Veo 3.1 Lite | ₽166/M | ₽166/M | ₽3 320 | |
| Wan 2.2 I2V Plus | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Wan 2.5 I2V Preview | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Wan 2.5 T2V Preview | alibaba | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.6 I2v | wan2.6 i2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.6 T2i | wan2.6 t2i | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.6 T2v | wan2.6 t2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.7 I2v | wan2.7 i2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.7 R2v | wan2.7 r2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.7 T2v | wan2.7 t2v | ₽166/M | ₽166/M | ₽3 320 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽166/M | ₽166/M | ₽3 320 |
| Doubao Seed 2.1 Pro | doubao seed 2 1 pro | ₽77.15/M | ₽386/M | ₽3 472 |
| glm 5.2 | z ai | ₽93.52/M | ₽327/M | ₽3 507 |
| Mai Image 2.5 Flash | mai image 2.5 flash | ₽145/M | ₽145/M | ₽3 631 |
| glm 5 turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| Zai Glm 5 Turbo | zai glm 5 turbo | ₽99.60/M | ₽332/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| GLM 4.5 Airx | glm 4.5 airx | ₽91.30/M | ₽374/M | ₽3 698 |
| Claude Instant 1 | claude instant 1 | ₽149/M | ₽149/M | ₽3 720 |
| Yi Large Turbo | yi large turbo | ₽149/M | ₽149/M | ₽3 735 |
| Baichuan3 Turbo | Baichuan3 Turbo | ₽158/M | ₽158/M | ₽3 942 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽99.60/M | ₽398/M | ₽3 984 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽91.30/M | ₽456/M | ₽4 108 |
| Agnes Image 2.1 Flash | agnes image 2.1 flash | ₽166/M | ₽166/M | ₽4 150 |
| Auto | auto | ₽166/M | ₽166/M | ₽4 150 |
| Davinci | davinci | ₽166/M | ₽166/M | ₽4 150 |
| Describe | DESCRIBE | ₽166/M | ₽166/M | ₽4 150 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽166/M | ₽166/M | ₽4 150 |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽166/M | ₽166/M | ₽4 150 |
| Gemini | gemini exp 1206 | ₽104/M | ₽415/M | ₽4 150 |
| Gemini | gemini exp 1114 | ₽104/M | ₽415/M | ₽4 150 |
| Gemini | gemini exp 1121 | ₽104/M | ₽415/M | ₽4 150 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽415/M | ₽4 150 |
| GLM 4 Vision Plus | glm 4v plus | ₽166/M | ₽166/M | ₽4 150 |
| Glm Image | thudm | ₽166/M | ₽166/M | ₽4 150 |
| GLM Zero Preview | glm zero preview | ₽166/M | ₽166/M | ₽4 150 |
| Hy 3d 3.1 | hy 3d 3.1 | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 | imagen 4.0 | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 Ultra | imagen 4.0 ultra | ₽166/M | ₽166/M | ₽4 150 |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| Janus Pro 7B | deepseek ai | ₽166/M | ₽166/M | ₽4 150 |
| Learnlm 1.5 Pro Experimental | learnlm 1.5 pro experimental | ₽104/M | ₽415/M | ₽4 150 |
| MiniMax H3 | minimax h3 | ₽166/M | ₽166/M | ₽4 150 |
| Moonshot V1 8K | moonshot v1 8k | ₽166/M | ₽166/M | ₽4 150 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽166/M | ₽166/M | ₽4 150 |
| Sora 2 | Sora 2 | ₽166/M | ₽166/M | ₽4 150 |
| Sora 2 Pro | sora 2 pro | ₽166/M | ₽166/M | ₽4 150 |
| Step 2 16K | step 2 16k | ₽166/M | ₽166/M | ₽4 150 |
| Text Curie 001 | text curie 001 | ₽166/M | ₽166/M | ₽4 150 |
| Upscale | UPSCALE | ₽166/M | ₽166/M | ₽4 150 |
| V_1 | V_1 | ₽166/M | ₽166/M | ₽4 150 |
| V_1_turbo | V_1_TURBO | ₽166/M | ₽166/M | ₽4 150 |
| V_2 | V_2 | ₽166/M | ₽166/M | ₽4 150 |
| V_2_turbo | V_2_TURBO | ₽166/M | ₽166/M | ₽4 150 |
| V_2a | V_2A | ₽166/M | ₽166/M | ₽4 150 |
| V_2a_turbo | V_2A_TURBO | ₽166/M | ₽166/M | ₽4 150 |
| V3 | V3 | ₽166/M | ₽166/M | ₽4 150 |
| Veo 2.0 Generate 001 | veo 2.0 generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽166/M | ₽166/M | ₽4 150 |
| Wan 2.7 Image | alibaba | ₽166/M | ₽166/M | ₽4 150 |
| Wan 2.7 Image Pro | alibaba | ₽166/M | ₽166/M | ₽4 150 |
| Cloudflare Glm 5.2 | cloudflare glm 5.2 | ₽116/M | ₽365/M | ₽4 150 |
| Muse Spark 1.1 | muse spark 1.1 | ₽114/M | ₽388/M | ₽4 223 |
| Muse Spark 1.2 | muse spark 1.2 | ₽114/M | ₽388/M | ₽4 223 |
| DeepSeek R1 Zero | deepseek ai | ₽183/M | ₽183/M | ₽4 565 |
| Cbs Glm 4.7 | cbs glm 4.7 | ₽187/M | ₽228/M | ₽4 876 |
| qwen3.7 max | qwen | ₽140/M | ₽421/M | ₽4 909 |
| Codex Mini | codex mini | ₽124/M | ₽498/M | ₽4 980 |
| Aihubmix Llama 3.2 90B Vision | aihubmix Llama 3 2 90B Vision | ₽199/M | ₽199/M | ₽4 980 |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽199/M | ₽199/M | ₽4 980 |
| Qwen3.6 Max | qwen3.6 max | ₽105/M | ₽631/M | ₽5 262 |
| Llama3 70B 8192(33) | llama3 70b 8192(33) | ₽220/M | ₽220/M | ₽5 499 |
| gemini 3.6 flash | ₽124/M | ₽622/M | ₽5 602 | |
| Aihubmix Mistral Large 2411 | aihubmix Mistral Large 2411 | ₽166/M | ₽498/M | ₽5 810 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.20 | x ai | ₽166/M | ₽498/M | ₽5 810 |
| Grok 4.20 Beta 0309 | grok 4.20 beta 0309 non reasoning | ₽166/M | ₽498/M | ₽5 810 |
| Grok 4.20 Beta 0309 (reasoning) | grok 4.20 beta 0309 reasoning | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.20 multi agent | x ai | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.5 | x ai | ₽166/M | ₽498/M | ₽5 810 |
| gpt 4o mini tts | openai | ₽49.80/M | ₽996/M | ₽5 976 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5 chat | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5 codex | 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 5.1 codex | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex max | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| Yi Large | yi large | ₽249/M | ₽249/M | ₽6 225 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽181/M | ₽543/M | ₽6 333 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽158/M | ₽664/M | ₽6 473 |
| gpt 3.5 turbo 16k | openai | ₽249/M | ₽332/M | ₽6 640 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| Grok 2 1212 | grok 2 1212 | ₽149/M | ₽747/M | ₽6 723 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽149/M | ₽747/M | ₽6 723 |
| Aihubmix Jamba 1.5 Large | aihubmix Jamba 1 5 Large | ₽183/M | ₽730/M | ₽7 304 |
| GLM 4.5 X | glm 4.5 x | ₽183/M | ₽740/M | ₽7 349 |
| claude sonnet 5 | anthropic | ₽166/M | ₽830/M | ₽7 470 |
| Baichuan3 Turbo 128K | Baichuan3 Turbo 128k | ₽315/M | ₽315/M | ₽7 885 |
| Cohere Command A | cohere command a | ₽207/M | ₽830/M | ₽8 300 |
| Command A Plus 05 2026 | command a plus 05 2026 | ₽207/M | ₽830/M | ₽8 300 |
| gemini 3 pro image | ₽166/M | ₽996/M | ₽8 300 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽166/M | ₽996/M | ₽8 300 |
| gemini 3.1 pro preview customtools | ₽166/M | ₽996/M | ₽8 300 | |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽207/M | ₽830/M | ₽8 300 |
| GPT 4o Transcribe Diarize | gpt 4o transcribe diarize | ₽207/M | ₽830/M | ₽8 300 |
| GPT 4o Zh | gpt 4o zh | ₽207/M | ₽830/M | ₽8 300 |
| gpt 5.6 terra | openai | ₽166/M | ₽996/M | ₽8 300 |
| gpt audio 1.5 | openai | ₽207/M | ₽830/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| Llama 3.1 405B (reasoning) | llama 3.1 405b reasoning | ₽332/M | ₽332/M | ₽8 300 |
| Moonshot V1 32K | moonshot v1 32k | ₽332/M | ₽332/M | ₽8 300 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽332/M | ₽332/M | ₽8 300 |
| Stable Diffusion 3.5 Large | Stable Diffusion 3 5 Large | ₽332/M | ₽332/M | ₽8 300 |
| Yi Large Rag | yi large rag | ₽332/M | ₽332/M | ₽8 300 |
| gpt 5.2 | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| GPT 5.2 High | gpt 5.2 high | ₽145/M | ₽1 162/M | ₽8 715 |
| GPT 5.2 Low | gpt 5.2 low | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.3 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.3 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| Aihubmix Mistral Large 2407 | aihubmix Mistral large 2407 | ₽249/M | ₽747/M | ₽8 715 |
| Mistral Large 2407 | Mistral large 2407 | ₽249/M | ₽747/M | ₽8 715 |
| Aihubmix Command R Plus | aihubmix command r plus | ₽232/M | ₽930/M | ₽9 296 |
| Command R Plus | command r plus | ₽232/M | ₽930/M | ₽9 296 |
| Meta Llama 3 70B | meta llama 3 70b | ₽398/M | ₽398/M | ₽9 949 |
| Computer Use Preview | computer use preview | ₽249/M | ₽996/M | ₽9 960 |
| O1 Mini | o1 mini | ₽249/M | ₽996/M | ₽9 960 |
| gpt 5.4 | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT 5.4 High | gpt 5.4 high | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT 5.4 Low | gpt 5.4 low | ₽207/M | ₽1 245/M | ₽10 375 |
| Mai Image 2.5 | mai image 2.5 | ₽415/M | ₽415/M | ₽10 375 |
| MAI Image 2.5 Pro (Text to Image) | microsoft | ₽415/M | ₽415/M | ₽10 375 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽249/M | ₽1 245/M | ₽11 205 |
| Grok 3 | grok 3 | ₽249/M | ₽1 245/M | ₽11 205 |
| kimi k3 | moonshotai | ₽249/M | ₽1 245/M | ₽11 205 |
| Distil Whisper Large V3 En | distil whisper large v3 en | ₽461/M | ₽461/M | ₽11 528 |
| Whisper Large V3 Turbo | openai | ₽461/M | ₽461/M | ₽11 528 |
| Aihubmix Mistral Large | aihubmix Mistral large | ₽332/M | ₽996/M | ₽11 620 |
| Llama 3.1 Sonar Huge 128K Online | llama 3.1 sonar huge 128k online | ₽465/M | ₽465/M | ₽11 620 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽274/M | ₽1 369/M | ₽12 325 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽274/M | ₽1 369/M | ₽12 325 |
| Grok 4 | grok 4 | ₽274/M | ₽1 369/M | ₽12 325 |
| Sonnet 3 | claude 3 sonnet 20240229 | ₽274/M | ₽1 369/M | ₽12 325 |
| gpt image 1.5 | openai | ₽415/M | ₽830/M | ₽12 450 |
| Aihubmix Llama 3.1 405B Instruct | aihubmix Llama 3 1 405B Instruct | ₽415/M | ₽1 245/M | ₽14 525 |
| Grok Vision Beta | grok vision beta | ₽465/M | ₽1 394/M | ₽16 268 |
| GLM-4 Plus | glm 4 plus | ₽664/M | ₽664/M | ₽16 600 |
| Ahm Phi 3 Medium 128K | ahm Phi 3 medium 128k | ₽498/M | ₽1 494/M | ₽17 430 |
| Claude 2 | claude 2 | ₽730/M | ₽730/M | ₽18 259 |
| Anthropic Opus 4.6 | anthropic opus 4 6 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.5 | claude opus 4 5 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.6 | claude opus 4 6 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.7 | claude opus 4 7 | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 4.8 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| Qwen Max Longcontext | qwen max longcontext | ₽581/M | ₽1 743/M | ₽20 334 |
| gpt 5.5 | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| GPT Chat | gpt chat latest | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt image 2 | gpt image 2 | ₽415/M | ₽2 490/M | ₽20 749 |
| Cogview 3 Plus | cogview 3 plus | ₽830/M | ₽830/M | ₽20 749 |
| Moonshot V1 128K | moonshot v1 128k | ₽830/M | ₽830/M | ₽20 749 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽830/M | ₽830/M | ₽20 749 |
| gpt image 1 | openai | ₽415/M | ₽3 320/M | ₽24 899 |
| gpt image 1 mini | openai | ₽415/M | ₽3 320/M | ₽24 899 |
| GPT Image Test | gpt image test | ₽415/M | ₽3 320/M | ₽24 899 |
| 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 |
| GLM 4 | glm 4 | ₽1 179/M | ₽1 179/M | ₽29 464 |
| GLM 4 Vision | glm 4v | ₽1 179/M | ₽1 179/M | ₽29 464 |
| Qwen Audio 3.0 Tts Flash | qwen audio 3.0 tts flash | ₽1 179/M | ₽1 179/M | ₽29 464 |
| Claude 2.0 | claude 2.0 | ₽730/M | ₽3 287/M | ₽31 041 |
| Claude 2.1 | claude 2.1 | ₽730/M | ₽3 287/M | ₽31 041 |
| Qwen Audio 3.0 Tts Plus | qwen audio 3.0 tts plus | ₽1 245/M | ₽1 245/M | ₽31 124 |
| tts 1 | openai | ₽1 245/M | ₽1 245/M | ₽31 124 |
| Tts 1 1106 | tts 1 1106 | ₽1 245/M | ₽1 245/M | ₽31 124 |
| Baichuan4 | Baichuan4 | ₽1 328/M | ₽1 328/M | ₽33 199 |
| Dall E 2 | dall e 2 | ₽1 328/M | ₽1 328/M | ₽33 199 |
| o3 deep research | openai | ₽830/M | ₽3 320/M | ₽33 199 |
| claude fable 5 | anthropic | ₽913/M | ₽4 565/M | ₽41 084 |
| Code Davinci Edit 001 | code davinci edit 001 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| Text Davinci 002 | text davinci 002 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| Text Search Ada Doc 001 | text search ada doc 001 | ₽1 660/M | ₽1 660/M | ₽41 499 |
| O1 | o1 | ₽1 245/M | ₽4 980/M | ₽49 799 |
| Claude 3 Opus | claude 3 opus | ₽1 369/M | ₽6 847/M | ₽61 626 |
| Claude Opus 4 | claude opus 4 | ₽1 369/M | ₽6 847/M | ₽61 626 |
| kimi latest | kimi latest | ₽2 490/M | ₽2 490/M | ₽62 248 |
| tts 1 hd | openai | ₽2 490/M | ₽2 490/M | ₽62 248 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 490/M | ₽2 490/M | ₽62 248 |
| whisper large | whisper large | ₽2 559/M | ₽2 559/M | ₽63 979 |
| o3 pro | openai | ₽1 660/M | ₽6 640/M | ₽66 398 |
| Cogview 3 | cogview 3 | ₽2 946/M | ₽2 946/M | ₽73 660 |
| gpt 5 pro | openai | ₽1 245/M | ₽9 960/M | ₽74 698 |
| DALL E 3 | DALL E 3 | ₽3 320/M | ₽3 320/M | ₽82 998 |
| 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 |
| GPT 4 32K | gpt 4 32k | ₽4 980/M | ₽9 960/M | ₽149 396 |
| whisper 1 | openai | ₽8 300/M | ₽8 300/M | ₽207 494 |
| o1 pro | openai | ₽14 110/M | ₽56 438/M | ₽564 384 |
Без публичной цены
нет данных в открытых источниках · 20
▼
Без публичной цены
нет данных в открытых источниках · 20
| Модель | Maker | Примечание |
|---|---|---|
| glm 4.7 flash | z ai | — |
| K2.6 Code Preview (free) | k2.6 code preview free | — |
| kimi for coding | kimi for coding | — |
| laguna s 2.1 | laguna s 2.1 | — |
| Laguna Xs 2.1 (free) | laguna xs 2.1 free | — |
| Lfm 2.5 2.6b (free) | lfm 2.5 2.6b free | — |
| Ling 3.0 Flash (free) | ling 3.0 flash free | — |
| Ling 3.0 Tiny (free) | ling 3.0 tiny free | — |
| nemotron 3 nano omni 30b a3b reasoning | nvidia | — |
| Nemotron 3 Super 120B-A12B | nvidia | — |
| Nemotron 3 Ultra | nvidia | — |
| nemotron 3.5 content safety | nvidia | — |
| Nemotron 3.5 Lightning | NVIDIA | — |
| nemotron nano 12b v2 vl | nvidia | — |
| Nemotron Nano 9B V2 | NVIDIA | — |
| North Mini Code (free) | north mini code free | — |
| Xiaomi Mimo V2 Omni (free) | xiaomi mimo v2 omni free | — |
| Xiaomi Mimo V2 Pro (free) | xiaomi mimo v2 pro free | — |
| Xiaomi Mimo V2.5 (free) | xiaomi mimo v2.5 free | — |
| Xiaomi Mimo V2.5 Pro (free) | xiaomi mimo v2.5 pro free | — |
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 683 моделей AI API. Средняя цена — ₽300/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 , Yi VL Plus , Llama3 Groq 70B 8192 Tool Use Preview , Mistral 7B Instruct (free) и DeepSeek R1 Distill Llama 8B у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.