AiHubMix
Сайт ↗784 модели: GPT, Claude, Gemini и CN-LLM через один API
- Моделей
- 629
- Средняя цена
- ₽266/M
- Регион
- Зарубежный · сайт на китайский и английский
- Оплата
- USD (доллары)
- Биллинг
- за токены
- API
- OpenAI-compatible
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
629 моделей
Текст и чат
оплата за токены · 622
▼
Текст и чат
оплата за токены · 622
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Llama3 Groq 8B 8192 Tool Use Preview | llama3 groq 8b 8192 tool use preview | ₽0.01/M | ₽0.01/M | ₽0 |
| Yi VL Plus | yi vl plus | ₽0.06/M | ₽0.06/M | ₽2 |
| Llama3 Groq 70B 8192 Tool Use Preview | llama3 groq 70b 8192 tool use preview | ₽0.06/M | ₽0.06/M | ₽2 |
| Mistral 7B Instruct (free) | mistralai | ₽0.14/M | ₽0.14/M | ₽4 |
| DeepSeek R1 Distill Llama 8B | deepseek ai | ₽0.72/M | ₽0.72/M | ₽18 |
| DeepSeek R1 Distill Qwen 1.5b | deepseek ai | ₽0.72/M | ₽0.72/M | ₽18 |
| DeepSeek R1 Distill Qwen 7B | deepseek ai | ₽0.72/M | ₽0.72/M | ₽18 |
| DeepSeek Ocr | deepseek ocr | ₽1.44/M | ₽1.44/M | ₽36 |
| DeepSeek R1t Chimera | tngtech | ₽1.44/M | ₽1.44/M | ₽36 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽1.44/M | ₽1.44/M | ₽36 |
| gemma 2 9b it | gemma 2 9b it | ₽1.44/M | ₽1.44/M | ₽36 |
| Llama 3.1 405B Instruct | llama 3.1 405b instruct | ₽1.44/M | ₽1.44/M | ₽36 |
| llama 3.1 70b | together | ₽1.44/M | ₽1.44/M | ₽36 |
| Llama 3.1 8B | llama 3.1 8b | ₽1.44/M | ₽1.44/M | ₽36 |
| Llama 3.2 11B Vision Preview | meta llama | ₽1.44/M | ₽1.44/M | ₽36 |
| Llama 3.2 3B Preview | meta llama | ₽1.44/M | ₽1.44/M | ₽36 |
| Omni Moderation | omni moderation latest | ₽1.44/M | ₽1.44/M | ₽36 |
| text embedding 3 small | openai | ₽1.44/M | ₽1.44/M | ₽36 |
| Text Embedding V1 | text embedding 004 | ₽1.44/M | ₽1.44/M | ₽36 |
| ERNIE 4.5 0.3b | ernie 4.5 0.3b | ₽0.98/M | ₽3.91/M | ₽39 |
| Coding GLM 4.5 Air | coding glm 4.5 air | ₽1.01/M | ₽6.04/M | ₽50 |
| GLM Ocr | glm ocr | ₽2.03/M | ₽2.03/M | ₽51 |
| Bge Large En V1.5 | BAAI | ₽2.44/M | ₽2.44/M | ₽61 |
| Bge Large Zh V1.5 | BAAI | ₽2.44/M | ₽2.44/M | ₽61 |
| Bge Reranker V2 M3 | BAAI | ₽2.44/M | ₽2.44/M | ₽61 |
| Deepinfra Llama 3.1 8B Instant | deepinfra llama 3.1 8b instant | ₽2.37/M | ₽3.95/M | ₽67 |
| Jina Embeddings V5 Text Nano | jina embeddings v5 text nano | ₽3.60/M | ₽3.60/M | ₽72 |
| Jina Embeddings V5 Text Small | jina embeddings v5 text small | ₽3.60/M | ₽3.60/M | ₽72 |
| Coding Step 3.5 Flash | coding step 3.5 flash | ₽2.16/M | ₽6.47/M | ₽76 |
| Step 3.7 Flash | step 3.7 flash | ₽1.58/M | ₽9.49/M | ₽79 |
| GLM 4 9B 0414 | THUDM | ₽3.60/M | ₽3.60/M | ₽90 |
| GLM Z1 9B 0414 | THUDM | ₽3.60/M | ₽3.60/M | ₽90 |
| jina clip v1 | jina clip v1 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Colbert V2 | jina colbert v2 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Embeddings V3 | jina embeddings v3 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Reranker M0 | jina reranker m0 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Reranker V3 | jina reranker v3 | ₽3.60/M | ₽3.60/M | ₽90 |
| Bce Reranker Base | bce reranker base | ₽4.89/M | ₽4.89/M | ₽98 |
| Cohere Rerank V4.0 Fast | cohere rerank v4.0 fast | ₽4.89/M | ₽4.89/M | ₽98 |
| Cohere Rerank V4.0 Pro | cohere rerank v4.0 pro | ₽4.89/M | ₽4.89/M | ₽98 |
| Embedding V1 | embedding 001 | ₽4.89/M | ₽4.89/M | ₽98 |
| Qwen3 Embedding 0.6b | qwen3 embedding 0.6b | ₽4.89/M | ₽4.89/M | ₽98 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽4.89/M | ₽4.89/M | ₽98 |
| Qwen Turbo | qwen turbo | ₽3.31/M | ₽6.62/M | ₽99 |
| Qwen Flash | qwen flash | ₽1.44/M | ₽14.38/M | ₽101 |
| Qwen3 VL Flash | qwen3 vl flash | ₽1.48/M | ₽14.81/M | ₽104 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽3.60/M | ₽7.19/M | ₽108 |
| Groq Llama 3.1 8B Instant | groq llama 3.1 8b instant | ₽3.95/M | ₽6.33/M | ₽111 |
| Pro · THUDM · GLM-4.1V-9B-Thinking | Pro | ₽2.88/M | ₽11.51/M | ₽115 |
| Bge Large En | bge large en | ₽4.89/M | ₽4.89/M | ₽122 |
| Bge Large Zh | bge large zh | ₽4.89/M | ₽4.89/M | ₽122 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽4.89/M | ₽4.89/M | ₽122 |
| Tao 8K | tao 8k | ₽4.89/M | ₽4.89/M | ₽122 |
| Embedding 2 | embedding 2 | ₽4.93/M | ₽4.93/M | ₽123 |
| Embedding 3 | embedding 3 | ₽4.93/M | ₽4.93/M | ₽123 |
| Nvidia Nemotron Nano 9B V2 | nvidia nemotron nano 9b v2 | ₽3.16/M | ₽12.66/M | ₽127 |
| Doubao Lite 32K | Doubao lite 32k | ₽4.31/M | ₽8.63/M | ₽129 |
| Doubao Lite 4K | Doubao lite 4k | ₽4.31/M | ₽8.63/M | ₽129 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽4.31/M | ₽8.63/M | ₽129 |
| Doubao Seed 2.0 Mini 260428 | doubao seed 2 0 mini 260428 | ₽2.03/M | ₽20.28/M | ₽142 |
| Qwen3.5 Flash | qwen3.5 flash | ₽2.03/M | ₽20.28/M | ₽142 |
| glm 4 32b | z ai | ₽5.75/M | ₽5.75/M | ₽144 |
| GLM Z1 32B 0414 | THUDM | ₽5.75/M | ₽5.75/M | ₽144 |
| Qwen2 7B Instruct | Qwen | ₽5.75/M | ₽5.75/M | ₽144 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽2.17/M | ₽21.67/M | ₽152 |
| CC GLM 4.6 | cc glm 4.6 | ₽4.31/M | ₽15.82/M | ₽165 |
| CC GLM 4.7 | cc glm 4.7 | ₽4.31/M | ₽15.82/M | ₽165 |
| CC GLM 5 | cc glm 5 | ₽4.31/M | ₽15.82/M | ₽165 |
| CC GLM 5 Turbo | cc glm 5 turbo | ₽4.31/M | ₽15.82/M | ₽165 |
| CC GLM 5.1 | cc glm 5.1 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 4.6 | coding glm 4.6 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 4.7 | coding glm 4.7 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 5 | coding glm 5 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 5 Turbo | coding glm 5 turbo | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 5.1 | coding glm 5.1 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 5.2 | coding glm 5.2 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding Xiaomi Mimo V2.5 | coding xiaomi mimo v2.5 | ₽5.75/M | ₽11.51/M | ₽173 |
| Embed V 4.0 | embed v 4 0 | ₽8.63/M | ₽8.63/M | ₽173 |
| Qianfan Ocr | qianfan ocr | ₽4.46/M | ₽17.83/M | ₽178 |
| CC MiniMax M2 | cc minimax m2 | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.1 | cc minimax m2.1 | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.5 | cc minimax m2.5 | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.5 Highspeed | cc minimax m2.5 highspeed | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.7 | cc minimax m2.7 | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.7 Highspeed | cc minimax m2.7 highspeed | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M3 | cc minimax m3 | ₽7.19/M | ₽7.19/M | ₽180 |
| DeepSeek Prover V2 671B | deepseek ai | ₽7.19/M | ₽7.19/M | ₽180 |
| DeepSeek R1 Distill Qwen 14B | deepseek ai | ₽7.19/M | ₽7.19/M | ₽180 |
| Doubao Embedding Large Text 240915 | doubao embedding large text 240915 | ₽7.19/M | ₽7.19/M | ₽180 |
| Gemma 7B It | gemma 7b it | ₽7.19/M | ₽7.19/M | ₽180 |
| GLM 4 Flash | glm 4 flash | ₽7.19/M | ₽7.19/M | ₽180 |
| GLM 4.1 Vision 9B Thinking | THUDM | ₽7.19/M | ₽7.19/M | ₽180 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽7.19/M | ₽7.19/M | ₽180 |
| Mm Minimax M2.7 Highspeed | mm minimax m2.7 highspeed | ₽7.19/M | ₽7.19/M | ₽180 |
| Text Embedding ADA | text embedding ada | ₽7.19/M | ₽7.19/M | ₽180 |
| Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 | deepinfra nvidia nemotron 3 nano 30b a3b2 | ₽4.75/M | ₽18.98/M | ₽190 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.75/M | ₽18.98/M | ₽190 |
| ERNIE 4.5 | ernie 4.5 | ₽4.89/M | ₽19.56/M | ₽196 |
| Ling Mini 2.0 | inclusionAI | ₽4.89/M | ₽19.56/M | ₽196 |
| gte rerank | gte rerank | ₽7.91/M | ₽7.91/M | ₽198 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽7.91/M | ₽7.91/M | ₽198 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽7.91/M | ₽7.91/M | ₽198 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽7.91/M | ₽7.91/M | ₽198 |
| Aihubmix Phi 4 Mini (reasoning) | AiHubmix Phi 4 mini reasoning | ₽8.63/M | ₽8.63/M | ₽216 |
| gpt 5 nano | openai | ₽3.60/M | ₽28.76/M | ₽216 |
| Doubao Seed 1.6 Flash | doubao seed 1 6 flash | ₽3.16/M | ₽31.64/M | ₽221 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽3.16/M | ₽31.64/M | ₽221 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.31/M | ₽33.08/M | ₽232 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.31/M | ₽33.08/M | ₽232 |
| Qwen3 4B | qwen3 4b | ₽3.31/M | ₽33.08/M | ₽232 |
| text embedding 3 large | openai | ₽9.35/M | ₽9.35/M | ₽234 |
| qwen3.5 35b a3b | qwen | ₽4.06/M | ₽32.44/M | ₽243 |
| Deepinfra Llama 4 Scout 17B 16e Instruct | deepinfra llama 4 scout 17b 16e instruct | ₽6.33/M | ₽23.73/M | ₽245 |
| Gme Qwen2 VL 2B Instruct | gme qwen2 vl 2b instruct | ₽9.92/M | ₽9.92/M | ₽248 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽7.77/M | ₽19.42/M | ₽252 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽7.88/M | ₽19.70/M | ₽256 |
| Coding Xiaomi Mimo V2 Omni | coding xiaomi mimo v2 omni | ₽5.75/M | ₽28.76/M | ₽259 |
| Deepinfra Gemma 4 26B A4B It | deepinfra gemma 4 26b a4b it | ₽6.33/M | ₽27.68/M | ₽265 |
| Step 3.5 Flash | step 3.5 flash | ₽7.91/M | ₽23.73/M | ₽277 |
| Deepinfra Llama 3.3 70B Instant Turbo | deepinfra llama 3.3 70b instant turbo | ₽7.91/M | ₽25.31/M | ₽285 |
| Baichuan4 Air | Baichuan4 Air | ₽11.51/M | ₽11.51/M | ₽288 |
| DeepSeek Llm 67B Chat | deepseek ai | ₽11.51/M | ₽11.51/M | ₽288 |
| DeepSeek Vl2 | deepseek ai | ₽11.51/M | ₽11.51/M | ₽288 |
| gemini 2.5 flash lite | ₽7.19/M | ₽28.76/M | ₽288 | |
| gemini embedding 2 | gemini embedding 2 | ₽14.38/M | ₽14.38/M | ₽288 |
| gpt 4.1 nano | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| qwen 2.5 coder 32b instruct | qwen | ₽11.51/M | ₽11.51/M | ₽288 |
| Qwen Long | qwen long | ₽7.19/M | ₽28.76/M | ₽288 |
| QwQ 32B | Qwen | ₽11.51/M | ₽11.51/M | ₽288 |
| qwen3 30b a3b instruct 2507 | qwen | ₽7.39/M | ₽29.57/M | ₽296 |
| qwen3 vl 30b a3b instruct | qwen | ₽7.39/M | ₽29.57/M | ₽296 |
| Doubao Lite 128K | Doubao lite 128k | ₽10.07/M | ₽20.13/M | ₽302 |
| Groq Llama 4 Scout 17B 16e Instruct | groq llama 4 scout 17b 16e instruct | ₽8.77/M | ₽26.32/M | ₽307 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽7.77/M | ₽31.06/M | ₽311 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽9.64/M | ₽24.09/M | ₽313 |
| Coding Step 3.7 Flash | coding step 3.7 flash | ₽6.33/M | ₽37.97/M | ₽316 |
| ERNIE 4.5 Turbo | ernie 4.5 turbo latest | ₽7.91/M | ₽31.64/M | ₽316 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽7.91/M | ₽31.64/M | ₽316 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽6.50/M | ₽39.01/M | ₽325 |
| Doubao Seed 2.0 Lite 260428 | doubao seed 2 0 lite 260428 | ₽6.50/M | ₽39.01/M | ₽325 |
| Doubao Pro 32K | Doubao pro 32k | ₽10.07/M | ₽25.17/M | ₽327 |
| Doubao Pro 4K | Doubao pro 4k | ₽10.07/M | ₽25.17/M | ₽327 |
| deepseek v4 flash | deepseek | ₽11.07/M | ₽22.15/M | ₽332 |
| Xiaomi Mimo V2.5 | xiaomi mimo v2.5 | ₽11.15/M | ₽22.29/M | ₽334 |
| glm 4.6v | z ai | ₽9.85/M | ₽29.55/M | ₽345 |
| gemma 4 26b a4b it | ₽10.07/M | ₽28.76/M | ₽345 | |
| gemma 4 31b it | ₽10.07/M | ₽28.76/M | ₽345 | |
| Aihub Phi 4 | aihub Phi 4 | ₽8.63/M | ₽34.52/M | ₽345 |
| Aihub Phi 4 Mini Instruct | aihub Phi 4 mini instruct | ₽8.63/M | ₽34.52/M | ₽345 |
| Aihub Phi 4 Multimodal Instruct | aihub Phi 4 multimodal instruct | ₽8.63/M | ₽34.52/M | ₽345 |
| DeepSeek Coder V2 Instruct | deepseek ai | ₽11.51/M | ₽23.01/M | ₽345 |
| DeepSeek V2 Chat | deepseek ai | ₽11.51/M | ₽23.01/M | ₽345 |
| DeepSeek V2.5 | deepseek ai | ₽11.51/M | ₽23.01/M | ₽345 |
| Doubao Seed 1.6 Lite | doubao seed 1 6 lite | ₽5.90/M | ₽47.17/M | ₽354 |
| gpt oss 20b | openai | ₽7.91/M | ₽39.55/M | ₽356 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽7.91/M | ₽39.55/M | ₽356 |
| CC Doubao Seed Code Preview | cc doubao seed code preview latest | ₽14.38/M | ₽14.38/M | ₽360 |
| CC K2.6 Code Preview | cc k2.6 code preview | ₽14.38/M | ₽14.38/M | ₽360 |
| CC Kimi For Coding | cc kimi for coding | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2 | coding minimax m2 | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.1 | coding minimax m2.1 | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.5 | coding minimax m2.5 | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.5 Highspeed | coding minimax m2.5 highspeed | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.7 | coding minimax m2.7 | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.7 Highspeed | coding minimax m2.7 highspeed | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M3 | coding minimax m3 | ₽14.38/M | ₽14.38/M | ₽360 |
| DeepSeek R1 Distill Qwen 32B | deepseek ai | ₽14.38/M | ₽14.38/M | ₽360 |
| Doubao Seed Code Preview | doubao seed code preview latest | ₽14.38/M | ₽14.38/M | ₽360 |
| gemma 3 12b it | ₽14.38/M | ₽14.38/M | ₽360 | |
| Gemma 3 1B It | gemma 3 1b it | ₽14.38/M | ₽14.38/M | ₽360 |
| gemma 3 27b it | ₽14.38/M | ₽14.38/M | ₽360 | |
| Gemma 3 4B It | gemma 3 4b it | ₽14.38/M | ₽14.38/M | ₽360 |
| gemma 3n e4b it | ₽14.38/M | ₽14.38/M | ₽360 | |
| Google Gemma 3 12B It | google gemma 3 12b it | ₽14.38/M | ₽14.38/M | ₽360 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽14.38/M | ₽14.38/M | ₽360 |
| Google Gemma 3 4B It | google gemma 3 4b it | ₽14.38/M | ₽14.38/M | ₽360 |
| Hunyuan Mt 7B | tencent | ₽14.38/M | ₽14.38/M | ₽360 |
| Llama 3.2 1B Preview | meta llama | ₽14.38/M | ₽14.38/M | ₽360 |
| llama 4 maverick | meta llama | ₽14.38/M | ₽14.38/M | ₽360 |
| llama 4 scout | meta llama | ₽14.38/M | ₽14.38/M | ₽360 |
| Moonlight 16B A3B Instruct | moonshotai | ₽14.38/M | ₽14.38/M | ₽360 |
| Qwen2 1.5b Instruct | Qwen | ₽14.38/M | ₽14.38/M | ₽360 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽14.38/M | ₽14.38/M | ₽360 |
| qwen3 8b | qwen | ₽14.38/M | ₽14.38/M | ₽360 |
| Text Moderation | text moderation latest | ₽14.38/M | ₽14.38/M | ₽360 |
| Text Moderation 007 | text moderation 007 | ₽14.38/M | ₽14.38/M | ₽360 |
| Text Moderation Stable | text moderation stable | ₽14.38/M | ₽14.38/M | ₽360 |
| Yi Lightning | yi lightning | ₽14.38/M | ₽14.38/M | ₽360 |
| qwen3.5 27b | qwen | ₽6.08/M | ₽48.67/M | ₽365 |
| ERNIE X1 Turbo | ernie x1 turbo | ₽9.78/M | ₽39.12/M | ₽391 |
| ERNIE X1.1 Preview | ERNIE X1.1 Preview | ₽9.78/M | ₽39.12/M | ₽391 |
| Ling Flash 2.0 | inclusionAI | ₽9.78/M | ₽39.12/M | ₽391 |
| qwen3 coder flash | qwen | ₽9.78/M | ₽39.12/M | ₽391 |
| Ring Flash 2.0 | inclusionAI | ₽9.78/M | ₽39.12/M | ₽391 |
| Qwen3.5 Plus | qwen3.5 plus | ₽7.88/M | ₽47.29/M | ₽394 |
| DeepSeek R1 Distill Qianfan Llama 8B | deepseek r1 distill qianfan llama 8b | ₽9.85/M | ₽39.41/M | ₽394 |
| Kat Dev | kat dev | ₽9.85/M | ₽39.41/M | ₽394 |
| qwen3 coder next | qwen | ₽9.85/M | ₽39.41/M | ₽394 |
| Qwen3 Next 80B A3B | Qwen | ₽9.92/M | ₽39.69/M | ₽397 |
| hunyuan a13b | hunyuan a13b | ₽10.07/M | ₽40.27/M | ₽403 |
| Coding Xiaomi Mimo V2.5 Pro | coding xiaomi mimo v2.5 pro | ₽14.38/M | ₽28.76/M | ₽431 |
| gpt 4o mini | openai | ₽10.79/M | ₽43.14/M | ₽431 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽10.79/M | ₽43.14/M | ₽431 |
| Qwen2 57B A14B Instruct | Qwen | ₽17.26/M | ₽17.26/M | ₽431 |
| Qwen2.5 Coder 1.5b Instruct | qwen2.5 coder 1.5b instruct | ₽14.38/M | ₽28.76/M | ₽431 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽14.38/M | ₽28.76/M | ₽431 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽14.38/M | ₽28.76/M | ₽431 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽17.26/M | ₽17.26/M | ₽431 |
| Hy3 Preview | hy3 preview | ₽12.22/M | ₽40.75/M | ₽448 |
| Longcat Flash Chat | LongCat Flash Chat | ₽10.07/M | ₽50.34/M | ₽453 |
| qwen3 32b | qwen | ₽11.51/M | ₽46.02/M | ₽460 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok Code Fast 1 | grok code fast 1 | ₽14.38/M | ₽35.95/M | ₽467 |
| Qwen Mt Turbo | qwen mt turbo | ₽13.81/M | ₽38.46/M | ₽468 |
| Seed Oss 36B Instruct | ByteDance Seed | ₽14.38/M | ₽38.40/M | ₽480 |
| MiMo V2 Flash | mimo v2 flash | ₽13.79/M | ₽41.38/M | ₽483 |
| qwen3.5 122b a10b | qwen | ₽8.10/M | ₽64.77/M | ₽486 |
| claude 3 haiku | anthropic | ₽19.77/M | ₽19.77/M | ₽494 |
| Coding Xiaomi Mimo V2 Pro | coding xiaomi mimo v2 pro | ₽14.38/M | ₽43.14/M | ₽503 |
| Gemini Pro | gemini pro | ₽14.38/M | ₽43.14/M | ₽503 |
| glm 4.5 air | z ai | ₽10.07/M | ₽60.40/M | ₽503 |
| Qianfan Qi VL | qianfan qi vl | ₽14.38/M | ₽43.14/M | ₽503 |
| Chatglm_lite | chatglm_lite | ₽20.55/M | ₽20.55/M | ₽514 |
| CC DeepSeek V3 | cc deepseek v3 | ₽21.57/M | ₽21.57/M | ₽539 |
| Llama 3.1 Sonar Small 128K Online | llama 3.1 sonar small 128k online | ₽21.57/M | ₽21.57/M | ₽539 |
| Llama3 8B 8192(33) | llama3 8b 8192(33) | ₽21.57/M | ₽21.57/M | ₽539 |
| Llama3 8B Chat | meta | ₽21.57/M | ₽21.57/M | ₽539 |
| Alicloud Deepseek V3.2 | alicloud deepseek v3.2 | ₽19.70/M | ₽29.55/M | ₽542 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽7.88/M | ₽78.80/M | ₽552 |
| Groq Llama 4 Maverick 17B 128e Instruct | groq llama 4 maverick 17b 128e instruct | ₽15.82/M | ₽47.46/M | ₽554 |
| Nvidia Nemotron Nano 12B V2 VL | nvidia nemotron nano 12b v2 vl | ₽15.82/M | ₽47.46/M | ₽554 |
| qwen plus | qwen | ₽8.10/M | ₽80.97/M | ₽567 |
| Aihubmix Command R 08 2024 | aihubmix command r 08 2024 | ₽14.38/M | ₽57.53/M | ₽575 |
| Command R | command r | ₽14.38/M | ₽57.53/M | ₽575 |
| Mistral Small 3.1 24B Instruct 2503 | chutesai | ₽14.38/M | ₽57.53/M | ₽575 |
| qwen3 coder 30b a3b instruct | qwen | ₽14.38/M | ₽57.53/M | ₽575 |
| gpt oss 120b | openai | ₽12.94/M | ₽64.72/M | ₽582 |
| qwen3.5 397b a17b | qwen | ₽11.82/M | ₽70.93/M | ₽591 |
| deepseek v3.2 | deepseek | ₽21.72/M | ₽32.57/M | ₽597 |
| qwen3 30b a3b | qwen | ₽8.63/M | ₽86.29/M | ₽604 |
| MiniMax Text 01 | MiniMax Text 01 | ₽10.07/M | ₽80.54/M | ₽604 |
| qwen3.6 flash | qwen | ₽12.15/M | ₽72.91/M | ₽608 |
| Grok 3 Mini | grok 3 mini | ₽21.57/M | ₽36.03/M | ₽612 |
| Qianfan Llama VL 8B | qianfan llama vl 8b | ₽19.70/M | ₽49.26/M | ₽640 |
| Aihubmix Llama 3.1 8B Instruct | aihubmix Llama 3 1 8B Instruct | ₽21.57/M | ₽43.14/M | ₽647 |
| Llama 3.1 8B Instant | llama 3.1 8b instant | ₽21.57/M | ₽43.14/M | ₽647 |
| Llama3.1 8B | llama3.1 8b | ₽21.57/M | ₽43.14/M | ₽647 |
| Qwen2 VL 7B Instruct | Qwen2 VL 7B Instruct | ₽20.13/M | ₽50.34/M | ₽654 |
| glm 4.5v | z ai | ₽19.70/M | ₽59.11/M | ₽690 |
| Qwen3 VL Plus | qwen3 vl plus | ₽9.85/M | ₽98.51/M | ₽690 |
| Aihubmix Llama 3.2 11B Vision | aihubmix Llama 3 2 11B Vision | ₽28.76/M | ₽28.76/M | ₽719 |
| Mythomax L2 13B | Gryphe | ₽28.76/M | ₽28.76/M | ₽719 |
| Qwen2.5 7B Instruct | Qwen | ₽28.76/M | ₽28.76/M | ₽719 |
| Text Ada 001 | text ada 001 | ₽28.76/M | ₽28.76/M | ₽719 |
| Yi Medium | yi medium | ₽28.76/M | ₽28.76/M | ₽719 |
| gpt 5.4 nano | openai | ₽14.38/M | ₽89.88/M | ₽737 |
| DeepSeek V3 | deepseek search | ₽19.56/M | ₽78.24/M | ₽782 |
| glm 4.6 | z ai | ₽19.70/M | ₽78.80/M | ₽788 |
| glm 4.7 | z ai | ₽19.70/M | ₽78.80/M | ₽788 |
| Bai Qwen3 VL 235B A22B Instruct | bai qwen3 vl 235b a22b instruct | ₽19.70/M | ₽78.81/M | ₽788 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽19.70/M | ₽78.81/M | ₽788 |
| qwen3 14b | qwen | ₽11.51/M | ₽115/M | ₽805 |
| qwen3 235b a22b | qwen | ₽20.13/M | ₽80.54/M | ₽805 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽20.13/M | ₽80.54/M | ₽805 |
| qwen3.7 plus | qwen | ₽20.28/M | ₽81.11/M | ₽811 |
| Alicloud Minimax M2.5 | alicloud minimax m2.5 | ₽20.68/M | ₽82.72/M | ₽827 |
| minimax m2 | minimax | ₽20.71/M | ₽82.84/M | ₽828 |
| minimax m2.1 | minimax | ₽20.71/M | ₽82.84/M | ₽828 |
| minimax m2.5 | minimax | ₽20.71/M | ₽82.84/M | ₽828 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽20.71/M | ₽82.84/M | ₽828 |
| minimax m3 | minimax | ₽20.71/M | ₽82.84/M | ₽828 |
| Mm Minimax M3 | mm minimax m3 | ₽20.71/M | ₽82.84/M | ₽828 |
| minimax m2.7 | minimax | ₽21.27/M | ₽85.08/M | ₽851 |
| gemini 2.5 flash image | ₽21.57/M | ₽86.29/M | ₽863 | |
| Qwen Qwq 32B | qwen qwq 32b | ₽28.76/M | ₽57.53/M | ₽863 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽28.76/M | ₽57.53/M | ₽863 |
| gemini 3.1 flash lite | ₽17.98/M | ₽108/M | ₽899 | |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽35.95/M | ₽35.95/M | ₽899 |
| Llama 3_1 Nemotron Ultra 253B V1 | nvidia | ₽35.95/M | ₽35.95/M | ₽899 |
| Llama 3.2 90B Vision Preview | meta llama | ₽35.95/M | ₽35.95/M | ₽899 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽35.95/M | ₽35.95/M | ₽899 |
| Llama2 70B 40960 | llama2 70b 40960 | ₽35.95/M | ₽35.95/M | ₽899 |
| qwen2.5 vl 72b instruct | qwen | ₽35.95/M | ₽35.95/M | ₽899 |
| Text Babbage 001 | text babbage 001 | ₽35.95/M | ₽35.95/M | ₽899 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽12.94/M | ₽129/M | ₽906 |
| Qwen 3 235B A22B Instruct 2507 | qwen 3 235b a22b instruct 2507 | ₽20.13/M | ₽101/M | ₽906 |
| qwen3.6 35b a3b | qwen | ₽18.26/M | ₽110/M | ₽913 |
| CC ERNIE 4.5 300B A47B | cc ernie 4.5 300b a47b | ₽23.01/M | ₽92.04/M | ₽920 |
| CC Kimi Dev 72B | cc kimi dev 72b | ₽23.01/M | ₽92.04/M | ₽920 |
| ERNIE 4.5 300B A47B | baidu | ₽23.01/M | ₽92.04/M | ₽920 |
| Kimi Dev 72B | moonshotai | ₽23.01/M | ₽92.04/M | ₽920 |
| Meta Llama 3 8B | meta llama 3 8b | ₽39.41/M | ₽39.41/M | ₽985 |
| deepseek v4 pro | deepseek | ₽33.37/M | ₽66.73/M | ₽1 001 |
| Aihubmix Codestral 2501 | aihubmix Codestral 2501 | ₽28.76/M | ₽86.29/M | ₽1 007 |
| Codestral | codestral latest | ₽28.76/M | ₽86.29/M | ₽1 007 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽28.76/M | ₽86.29/M | ₽1 007 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽28.76/M | ₽86.29/M | ₽1 007 |
| qwen3.6 plus | qwen | ₽20.28/M | ₽122/M | ₽1 014 |
| Xiaomi Mimo V2.5 Pro | xiaomi mimo v2.5 pro | ₽34.52/M | ₽69.03/M | ₽1 035 |
| gpt 5 mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| gpt 5.1 codex mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| Cerebras Llama 3.3 70B | cerebras llama 3.3 70b | ₽43.14/M | ₽43.14/M | ₽1 079 |
| deepseek r1 distill llama 70b | deepseek | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Llama 3.1 70B Versatile | llama 3.1 70b versatile | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Llama 3.3 70B | Llama 3.3 70B | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Qwen2.5 32B Instruct | Qwen | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Qwen Max | qwen max | ₽27.32/M | ₽109/M | ₽1 093 |
| Aihubmix Llama 3.1 70B Instruct | aihubmix Llama 3 1 70B Instruct | ₽43.14/M | ₽56.09/M | ₽1 143 |
| Ahm Phi 3.5 Moe Instruct | ahm Phi 3 5 MoE instruct | ₽28.76/M | ₽115/M | ₽1 151 |
| Ahm Phi 3.5 Vision Instruct | ahm Phi 3 5 vision instruct | ₽28.76/M | ₽115/M | ₽1 151 |
| Aihubmix Router | aihubmix router | ₽28.76/M | ₽115/M | ₽1 151 |
| glm 4.5 | z ai | ₽28.76/M | ₽115/M | ₽1 151 |
| gpt 4.1 mini | openai | ₽28.76/M | ₽115/M | ₽1 151 |
| Qwen 3 32B | qwen 3 32b | ₽28.76/M | ₽115/M | ₽1 151 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽33.08/M | ₽99.23/M | ₽1 158 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽12.94/M | ₽181/M | ₽1 165 |
| Qwen Mt Plus | qwen mt plus | ₽35.38/M | ₽106/M | ₽1 238 |
| Groq Llama 3.3 70B Versatile | groq llama 3.3 70b versatile | ₽46.67/M | ₽62.49/M | ₽1 246 |
| Aihubmix Llama 3 70B Instruct | aihubmix Llama 3 70B Instruct | ₽50.34/M | ₽50.34/M | ₽1 258 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽50.34/M | ₽50.34/M | ₽1 258 |
| gpt 3.5 turbo | openai | ₽35.95/M | ₽108/M | ₽1 258 |
| Mistral Large 3 | mistral large 3 | ₽35.95/M | ₽108/M | ₽1 258 |
| GLM 3 Turbo | glm 3 turbo | ₽51.05/M | ₽51.05/M | ₽1 276 |
| Alicloud Glm 4.7 | alicloud glm 4.7 | ₽29.55/M | ₽138/M | ₽1 281 |
| Chatglm_std | chatglm_std | ₽51.37/M | ₽51.37/M | ₽1 284 |
| Chatglm_turbo | chatglm_turbo | ₽51.37/M | ₽51.37/M | ₽1 284 |
| Aihubmix Mistral Medium | AiHubmix mistral medium | ₽28.76/M | ₽144/M | ₽1 294 |
| deepseek r1 | deepseek | ₽28.76/M | ₽144/M | ₽1 294 |
| qwen3 max | qwen | ₽32.42/M | ₽130/M | ₽1 297 |
| gemini 2.5 flash | ₽21.57/M | ₽180/M | ₽1 330 | |
| Llama3 70B 8192 | llama3 70b 8192 | ₽50.34/M | ₽67.40/M | ₽1 344 |
| Qwen 3 235B A22B | Qwen 3 235B A22B | ₽20.13/M | ₽201/M | ₽1 409 |
| CC DeepSeek V3.1 | cc deepseek v3.1 | ₽40.27/M | ₽121/M | ₽1 409 |
| deepseek v3.1 | deepseek v3.1 | ₽40.27/M | ₽121/M | ₽1 409 |
| deepseek v3.1 terminus | deepseek | ₽40.27/M | ₽121/M | ₽1 409 |
| MiMo V2 Omni | mimo v2 omni | ₽31.64/M | ₽158/M | ₽1 424 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽49.18/M | ₽88.53/M | ₽1 426 |
| gemma 2 27b it | ₽57.53/M | ₽57.53/M | ₽1 438 | |
| qwen 2.5 72b instruct | qwen | ₽57.53/M | ₽57.53/M | ₽1 438 |
| Qwen2 72B Instruct | Qwen | ₽57.53/M | ₽57.53/M | ₽1 438 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽57.53/M | ₽57.53/M | ₽1 438 |
| Azure Deepseek V3.2 | azure deepseek v3.2 | ₽41.71/M | ₽121/M | ₽1 438 |
| Azure Deepseek V3.2 Speciale | azure deepseek v3.2 speciale | ₽41.71/M | ₽121/M | ₽1 438 |
| Qianfan Chinese Llama 2 13B | qianfan chinese llama 2 13b | ₽59.11/M | ₽59.11/M | ₽1 478 |
| qwen3.6 27b | qwen | ₽30.35/M | ₽182/M | ₽1 517 |
| kimi k2 | moonshotai | ₽38.83/M | ₽155/M | ₽1 553 |
| qwen3 coder plus | qwen | ₽38.83/M | ₽155/M | ₽1 553 |
| Doubao Seed 2.0 Code | Doubao Seed 2.0 Code | ₽34.67/M | ₽173/M | ₽1 560 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽34.67/M | ₽173/M | ₽1 560 |
| Alicloud Kimi K2 Instruct | alicloud kimi k2 instruct | ₽39.41/M | ₽158/M | ₽1 576 |
| CC Kimi K2 Instruct | cc kimi k2 instruct | ₽39.41/M | ₽158/M | ₽1 576 |
| Ling 1t | inclusionAI | ₽39.41/M | ₽158/M | ₽1 576 |
| Ring 1t | inclusionAI | ₽39.41/M | ₽158/M | ₽1 576 |
| Sf Kimi K2 Thinking | sf kimi k2 thinking | ₽39.41/M | ₽158/M | ₽1 576 |
| Aihubmix Cohere Command R | aihubmix Cohere command r | ₽46.02/M | ₽138/M | ₽1 611 |
| Wizardcoder Python 34B V1.0 | WizardLM | ₽64.72/M | ₽64.72/M | ₽1 618 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽57.53/M | ₽104/M | ₽1 668 |
| Doubao Pro 128K | Doubao pro 128k | ₽57.53/M | ₽104/M | ₽1 668 |
| Doubao Pro 256K | Doubao pro 256k | ₽57.53/M | ₽104/M | ₽1 668 |
| Alicloud Glm 5 | alicloud glm 5 | ₽40.51/M | ₽182/M | ₽1 722 |
| ERNIE 5.1 | ernie 5.1 | ₽40.51/M | ₽182/M | ₽1 722 |
| MiniMax M1 80K | MiniMaxAI | ₽43.14/M | ₽173/M | ₽1 726 |
| Doubao 1.5 Thinking Pro | Doubao 1.5 thinking pro | ₽44.58/M | ₽178/M | ₽1 783 |
| gemini 3 flash | gemini 3 flash | ₽35.95/M | ₽216/M | ₽1 798 |
| Gemini 3.1 Flash Image | gemini 3.1 flash image | ₽35.95/M | ₽216/M | ₽1 798 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽71.91/M | ₽71.91/M | ₽1 798 |
| Gemini Pro Vision | gemini pro vision | ₽71.91/M | ₽71.91/M | ₽1 798 |
| Alicloud Kimi K2.5 | alicloud kimi k2.5 | ₽39.41/M | ₽207/M | ₽1 823 |
| Azure Kimi K2.5 | azure kimi k2.5 | ₽43.14/M | ₽216/M | ₽1 942 |
| kimi k2.5 | moonshotai | ₽43.14/M | ₽216/M | ₽1 942 |
| Moonshot Kimi K2.5 | moonshot kimi k2.5 | ₽43.14/M | ₽216/M | ₽1 942 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽57.53/M | ₽173/M | ₽2 013 |
| GLM 5 Vision Turbo | glm 5v turbo | ₽50.64/M | ₽223/M | ₽2 127 |
| Command | command | ₽71.91/M | ₽144/M | ₽2 157 |
| Command Light | command light | ₽71.91/M | ₽144/M | ₽2 157 |
| Command Light Nightly | command light nightly | ₽71.91/M | ₽144/M | ₽2 157 |
| Command Nightly | command nightly | ₽71.91/M | ₽144/M | ₽2 157 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽71.91/M | ₽144/M | ₽2 157 |
| grok build 0.1 | x ai | ₽71.91/M | ₽144/M | ₽2 157 |
| Llama 3.1 Sonar Large 128K Online | llama 3.1 sonar large 128k online | ₽86.29/M | ₽86.29/M | ₽2 157 |
| Qvq 72B Preview | Qwen | ₽86.29/M | ₽86.29/M | ₽2 157 |
| glm 5 | z ai | ₽63.28/M | ₽202/M | ₽2 278 |
| Qwen3 Coder 480B A35B Instruct | qwen3 coder 480b a35b instruct | ₽58.96/M | ₽236/M | ₽2 359 |
| ERNIE 5.0 | ernie 5.0 | ₽59.10/M | ₽236/M | ₽2 364 |
| Nvidia Llama 3.1 Nemotron 70B Instruct | nvidia llama 3.1 nemotron 70b instruct | ₽94.92/M | ₽94.92/M | ₽2 373 |
| glm 5.1 | z ai | ₽60.76/M | ₽243/M | ₽2 430 |
| Ahm Phi 3 Medium 4K | ahm Phi 3 medium 4k | ₽71.91/M | ₽216/M | ₽2 517 |
| Ahm Phi 3 Small 128K | ahm Phi 3 small 128k | ₽71.91/M | ₽216/M | ₽2 517 |
| Ahm Phi 3.5 Mini Instruct | ahm Phi 3 5 mini instruct | ₽71.91/M | ₽216/M | ₽2 517 |
| Chatglm_pro | chatglm_pro | ₽103/M | ₽103/M | ₽2 568 |
| Step3 | stepfun ai | ₽79.10/M | ₽198/M | ₽2 571 |
| Claude Instant 1.2 | claude instant 1.2 | ₽63.28/M | ₽285/M | ₽2 689 |
| gpt 5.4 mini | openai | ₽53.93/M | ₽324/M | ₽2 697 |
| grok 4.3 | x ai | ₽89.88/M | ₽180/M | ₽2 697 |
| MiMo V2 Pro | mimo v2 pro | ₽79.10/M | ₽237/M | ₽2 768 |
| kimi k2.6 | moonshotai | ₽68.31/M | ₽288/M | ₽2 804 |
| Kimi K2.7 Code | kimi k2.7 code | ₽68.31/M | ₽288/M | ₽2 804 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedream 4.0 | doubao seedream 4 0 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedream 4.5 | doubao seedream 4 5 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedream 5.0 Lite | doubao seedream 5.0 lite | ₽144/M | ₽144/M | ₽2 876 |
| ERNIE Image Turbo | ernie image turbo | ₽144/M | ₽144/M | ₽2 876 |
| Flux 2 Flex | flux 2 flex | ₽144/M | ₽144/M | ₽2 876 |
| Flux 2 Pro | flux 2 pro | ₽144/M | ₽144/M | ₽2 876 |
| Flux Kontext Max | flux kontext max | ₽144/M | ₽144/M | ₽2 876 |
| Fx Flux 2 Pro | fx flux 2 pro | ₽144/M | ₽144/M | ₽2 876 |
| Happyhorse 1.0 I2v | happyhorse 1.0 i2v | ₽144/M | ₽144/M | ₽2 876 |
| Happyhorse 1.0 R2v | happyhorse 1.0 r2v | ₽144/M | ₽144/M | ₽2 876 |
| Happyhorse 1.0 T2v | happyhorse 1.0 t2v | ₽144/M | ₽144/M | ₽2 876 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽144/M | ₽144/M | ₽2 876 |
| Musesteamer Air Image | musesteamer air image | ₽144/M | ₽144/M | ₽2 876 |
| Paddleocr VL 0.9b | paddleocr vl 0.9b | ₽144/M | ₽144/M | ₽2 876 |
| Pp Structurev3 | pp structurev3 | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image | qwen image | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image 2.0 | qwen image 2.0 | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image 2.0 Pro | qwen image 2.0 pro | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image Edit | qwen image edit | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image Max | qwen image max | ₽144/M | ₽144/M | ₽2 876 |
| Sonar | perplexity | ₽115/M | ₽115/M | ₽2 876 |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽144/M | ₽144/M | ₽2 876 |
| Veo 3.1 Lite Generate Preview | veo 3.1 lite generate preview | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.2 I2v Plus | wan2.2 i2v plus | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.5 I2v Preview | wan2.5 i2v preview | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.5 T2v Preview | wan2.5 t2v preview | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.6 I2v | wan2.6 i2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.6 T2i | wan2.6 t2i | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.6 T2v | wan2.6 t2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.7 I2v | wan2.7 i2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.7 R2v | wan2.7 r2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.7 T2v | wan2.7 t2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽144/M | ₽144/M | ₽2 876 |
| glm 5 turbo | z ai | ₽86.29/M | ₽288/M | ₽3 164 |
| Zai Glm 5 Turbo | zai glm 5 turbo | ₽86.29/M | ₽288/M | ₽3 164 |
| o3 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o4 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| GLM 4.5 Airx | glm 4.5 airx | ₽79.10/M | ₽324/M | ₽3 203 |
| Claude Instant 1 | claude instant 1 | ₽129/M | ₽129/M | ₽3 223 |
| Yi Large Turbo | yi large turbo | ₽129/M | ₽129/M | ₽3 236 |
| Baichuan3 Turbo | Baichuan3 Turbo | ₽137/M | ₽137/M | ₽3 416 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽86.29/M | ₽345/M | ₽3 452 |
| claude 3.5 haiku | anthropic | ₽79.10/M | ₽395/M | ₽3 559 |
| claude haiku 4.5 | anthropic | ₽79.10/M | ₽395/M | ₽3 559 |
| Davinci | davinci | ₽144/M | ₽144/M | ₽3 595 |
| Describe | DESCRIBE | ₽144/M | ₽144/M | ₽3 595 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽144/M | ₽144/M | ₽3 595 |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽144/M | ₽144/M | ₽3 595 |
| Gemini | gemini exp 1206 | ₽89.88/M | ₽360/M | ₽3 595 |
| Gemini | gemini exp 1114 | ₽89.88/M | ₽360/M | ₽3 595 |
| Gemini | gemini exp 1121 | ₽89.88/M | ₽360/M | ₽3 595 |
| gemini 2.5 pro | ₽89.88/M | ₽360/M | ₽3 595 | |
| GLM 4 Vision Plus | glm 4v plus | ₽144/M | ₽144/M | ₽3 595 |
| GLM Image | glm image | ₽144/M | ₽144/M | ₽3 595 |
| GLM Zero Preview | glm zero preview | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 3.0 Generate 002 | imagen 3.0 generate 002 | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 | imagen 4.0 | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 Ultra | imagen 4.0 ultra | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate exp 05 20 | ₽144/M | ₽144/M | ₽3 595 |
| Janus Pro 7B | deepseek ai | ₽144/M | ₽144/M | ₽3 595 |
| Learnlm 1.5 Pro Experimental | learnlm 1.5 pro experimental | ₽89.88/M | ₽360/M | ₽3 595 |
| Mai Image 2 | mai image 2 | ₽144/M | ₽144/M | ₽3 595 |
| Moonshot V1 8K | moonshot v1 8k | ₽144/M | ₽144/M | ₽3 595 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽144/M | ₽144/M | ₽3 595 |
| Sora 2 | sora 2 | ₽144/M | ₽144/M | ₽3 595 |
| Sora 2 Pro | sora 2 pro | ₽144/M | ₽144/M | ₽3 595 |
| Step 2 16K | step 2 16k | ₽144/M | ₽144/M | ₽3 595 |
| Text Curie 001 | text curie 001 | ₽144/M | ₽144/M | ₽3 595 |
| Upscale | UPSCALE | ₽144/M | ₽144/M | ₽3 595 |
| V_1 | V_1 | ₽144/M | ₽144/M | ₽3 595 |
| V_1_turbo | V_1_TURBO | ₽144/M | ₽144/M | ₽3 595 |
| V_2 | V_2 | ₽144/M | ₽144/M | ₽3 595 |
| V_2_turbo | V_2_TURBO | ₽144/M | ₽144/M | ₽3 595 |
| V_2a | V_2A | ₽144/M | ₽144/M | ₽3 595 |
| V_2a_turbo | V_2A_TURBO | ₽144/M | ₽144/M | ₽3 595 |
| V3 | V3 | ₽144/M | ₽144/M | ₽3 595 |
| Veo 2.0 Generate 001 | veo 2.0 generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| Wan2.7 Image | wan2.7 image | ₽144/M | ₽144/M | ₽3 595 |
| Wan2.7 Image Pro | wan2.7 image pro | ₽144/M | ₽144/M | ₽3 595 |
| DeepSeek R1 Zero | deepseek ai | ₽158/M | ₽158/M | ₽3 955 |
| Cbs Glm 4.7 | cbs glm 4.7 | ₽162/M | ₽198/M | ₽4 225 |
| qwen3.7 max | qwen | ₽122/M | ₽365/M | ₽4 253 |
| codex mini | codex mini | ₽108/M | ₽431/M | ₽4 314 |
| Aihubmix Llama 3.2 90B Vision | aihubmix Llama 3 2 90B Vision | ₽173/M | ₽173/M | ₽4 314 |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽173/M | ₽173/M | ₽4 314 |
| qwen3.6 max preview | qwen | ₽91.18/M | ₽547/M | ₽4 559 |
| Deepinfra Llama 4 Maverick 17B 128e Instruct | deepinfra llama 4 maverick 17b 128e instruct | ₽119/M | ₽475/M | ₽4 746 |
| Llama3 70B 8192(33) | llama3 70b 8192(33) | ₽191/M | ₽191/M | ₽4 764 |
| Aihubmix Mistral Large 2411 | aihubmix Mistral Large 2411 | ₽144/M | ₽431/M | ₽5 034 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽144/M | ₽431/M | ₽5 034 |
| grok 4.20 | x ai | ₽144/M | ₽431/M | ₽5 034 |
| Grok 4.20 Beta 0309 | grok 4.20 beta 0309 non reasoning | ₽144/M | ₽431/M | ₽5 034 |
| Grok 4.20 Beta 0309 (reasoning) | grok 4.20 beta 0309 reasoning | ₽144/M | ₽431/M | ₽5 034 |
| grok 4.20 multi agent | x ai | ₽144/M | ₽431/M | ₽5 034 |
| gpt 4o mini tts | openai | ₽43.14/M | ₽863/M | ₽5 177 |
| gemini 3.5 flash | ₽108/M | ₽647/M | ₽5 393 | |
| gpt 5 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex max | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| Yi Large | yi large | ₽216/M | ₽216/M | ₽5 393 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽157/M | ₽470/M | ₽5 487 |
| gpt 3.5 turbo 16k | openai | ₽216/M | ₽288/M | ₽5 753 |
| gpt 4.1 | openai | ₽144/M | ₽575/M | ₽5 753 |
| O3 | openai | ₽144/M | ₽575/M | ₽5 753 |
| Grok 2 1212 | grok 2 1212 | ₽129/M | ₽647/M | ₽5 825 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽129/M | ₽647/M | ₽5 825 |
| Aihubmix Jamba 1.5 Large | aihubmix Jamba 1 5 Large | ₽158/M | ₽633/M | ₽6 328 |
| GLM 4.5 X | glm 4.5 x | ₽158/M | ₽641/M | ₽6 367 |
| Baichuan3 Turbo 128K | Baichuan3 Turbo 128k | ₽273/M | ₽273/M | ₽6 831 |
| Gemini 3 Pro Image | gemini 3 pro image | ₽144/M | ₽863/M | ₽7 191 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽144/M | ₽863/M | ₽7 191 |
| gemini 3.1 pro preview customtools | ₽144/M | ₽863/M | ₽7 191 | |
| Cohere Command A | cohere command a | ₽180/M | ₽719/M | ₽7 191 |
| gpt 4o | openai | ₽180/M | ₽719/M | ₽7 191 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽180/M | ₽719/M | ₽7 191 |
| GPT 4o Zh | gpt 4o zh | ₽180/M | ₽719/M | ₽7 191 |
| Llama 3.1 405B (reasoning) | llama 3.1 405b reasoning | ₽288/M | ₽288/M | ₽7 191 |
| Moonshot V1 32K | moonshot v1 32k | ₽288/M | ₽288/M | ₽7 191 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽288/M | ₽288/M | ₽7 191 |
| Stable Diffusion 3.5 Large | Stable Diffusion 3 5 Large | ₽288/M | ₽288/M | ₽7 191 |
| Yi Large Rag | yi large rag | ₽288/M | ₽288/M | ₽7 191 |
| gpt 5.2 | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| GPT 5.2 High | gpt 5.2 high | ₽126/M | ₽1 007/M | ₽7 550 |
| GPT 5.2 Low | gpt 5.2 low | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.3 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.3 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| Aihubmix Mistral Large 2407 | aihubmix Mistral large 2407 | ₽216/M | ₽647/M | ₽7 550 |
| Mistral Large 2407 | Mistral large 2407 | ₽216/M | ₽647/M | ₽7 550 |
| Aihubmix Command R Plus | aihubmix command r plus | ₽201/M | ₽805/M | ₽8 054 |
| Command R Plus | command r plus | ₽201/M | ₽805/M | ₽8 054 |
| Meta Llama 3 70B | meta llama 3 70b | ₽345/M | ₽345/M | ₽8 620 |
| Computer Use Preview | computer use preview | ₽216/M | ₽863/M | ₽8 629 |
| o1 mini | o1 mini | ₽216/M | ₽863/M | ₽8 629 |
| gpt 5.4 | openai | ₽180/M | ₽1 079/M | ₽8 988 |
| GPT 5.4 High | gpt 5.4 high | ₽180/M | ₽1 079/M | ₽8 988 |
| GPT 5.4 Low | gpt 5.4 low | ₽180/M | ₽1 079/M | ₽8 988 |
| claude sonnet 4.6 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| Grok 3 | grok 3 | ₽216/M | ₽1 079/M | ₽9 708 |
| Distil Whisper Large V3 En | distil whisper large v3 en | ₽400/M | ₽400/M | ₽9 988 |
| Whisper Large V3 Turbo | whisper large v3 turbo | ₽400/M | ₽400/M | ₽9 988 |
| Aihubmix Mistral Large | aihubmix Mistral large | ₽288/M | ₽863/M | ₽10 067 |
| Llama 3.1 Sonar Huge 128K Online | llama 3.1 sonar huge 128k online | ₽403/M | ₽403/M | ₽10 067 |
| claude 3 sonnet | claude 3 sonnet | ₽237/M | ₽1 186/M | ₽10 678 |
| Claude 3.5 Sonnet | claude 3 5 sonnet | ₽237/M | ₽1 186/M | ₽10 678 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽237/M | ₽1 186/M | ₽10 678 |
| claude sonnet 4 | anthropic | ₽237/M | ₽1 186/M | ₽10 678 |
| claude sonnet 4.5 | anthropic | ₽237/M | ₽1 186/M | ₽10 678 |
| Grok 4 | grok 4 | ₽237/M | ₽1 186/M | ₽10 678 |
| gpt image 1.5 | openai | ₽360/M | ₽719/M | ₽10 786 |
| Aihubmix Llama 3.1 405B Instruct | aihubmix Llama 3 1 405B Instruct | ₽360/M | ₽1 079/M | ₽12 584 |
| Grok Vision Beta | grok vision beta | ₽403/M | ₽1 208/M | ₽14 094 |
| Mai Image 2e | mai image 2e | ₽360/M | ₽1 402/M | ₽14 202 |
| GLM 4 Plus | glm 4 plus | ₽575/M | ₽575/M | ₽14 382 |
| Ahm Phi 3 Medium 128K | ahm Phi 3 medium 128k | ₽431/M | ₽1 294/M | ₽15 101 |
| Claude 2 | claude 2 | ₽633/M | ₽633/M | ₽15 820 |
| Anthropic Opus 4.6 | anthropic opus 4 6 | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.5 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.6 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.7 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.8 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| Qwen Max Longcontext | qwen max longcontext | ₽503/M | ₽1 510/M | ₽17 617 |
| gpt 5.5 | openai | ₽360/M | ₽2 157/M | ₽17 977 |
| GPT Chat | gpt chat latest | ₽360/M | ₽2 157/M | ₽17 977 |
| GPT Image 2 | gpt image 2 | ₽360/M | ₽2 157/M | ₽17 977 |
| Cogview 3 Plus | cogview 3 plus | ₽719/M | ₽719/M | ₽17 977 |
| Moonshot V1 128K | moonshot v1 128k | ₽719/M | ₽719/M | ₽17 977 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽719/M | ₽719/M | ₽17 977 |
| gpt image 1 | openai | ₽360/M | ₽2 876/M | ₽21 572 |
| gpt image 1 mini | openai | ₽360/M | ₽2 876/M | ₽21 572 |
| GPT Image Test | gpt image test | ₽360/M | ₽2 876/M | ₽21 572 |
| gpt 4 | openai | ₽719/M | ₽2 157/M | ₽25 168 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽719/M | ₽2 157/M | ₽25 168 |
| gpt 4 turbo | openai | ₽719/M | ₽2 157/M | ₽25 168 |
| GPT 4 Vision Preview | gpt 4 vision preview | ₽719/M | ₽2 157/M | ₽25 168 |
| GLM 4 | glm 4 | ₽1 021/M | ₽1 021/M | ₽25 527 |
| GLM 4 Vision | glm 4v | ₽1 021/M | ₽1 021/M | ₽25 527 |
| Claude 2.0 | claude 2.0 | ₽633/M | ₽2 848/M | ₽26 893 |
| Claude 2.1 | claude 2.1 | ₽633/M | ₽2 848/M | ₽26 893 |
| tts 1 | openai | ₽1 079/M | ₽1 079/M | ₽26 965 |
| Tts 1 1106 | tts 1 1106 | ₽1 079/M | ₽1 079/M | ₽26 965 |
| Baichuan4 | Baichuan4 | ₽1 151/M | ₽1 151/M | ₽28 763 |
| Dall E 2 | dall e 2 | ₽1 151/M | ₽1 151/M | ₽28 763 |
| o3 deep research | openai | ₽719/M | ₽2 876/M | ₽28 763 |
| claude fable 5 | anthropic | ₽791/M | ₽3 955/M | ₽35 594 |
| Code Davinci Edit 001 | code davinci edit 001 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| Text Davinci 002 | text davinci 002 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| Text Search Ada Doc 001 | text search ada doc 001 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| O1 | openai | ₽1 079/M | ₽4 314/M | ₽43 145 |
| claude 3 opus | claude 3 opus | ₽1 186/M | ₽5 932/M | ₽53 391 |
| claude opus 4 | anthropic | ₽1 186/M | ₽5 932/M | ₽53 391 |
| Kimi | kimi | ₽2 157/M | ₽2 157/M | ₽53 931 |
| tts 1 hd | openai | ₽2 157/M | ₽2 157/M | ₽53 931 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 157/M | ₽2 157/M | ₽53 931 |
| Whisper Large v3 | Whisper Large v3 | ₽2 217/M | ₽2 217/M | ₽55 430 |
| o3 pro | openai | ₽1 438/M | ₽5 753/M | ₽57 526 |
| Cogview 3 | cogview 3 | ₽2 553/M | ₽2 553/M | ₽63 818 |
| gpt 5 pro | openai | ₽1 079/M | ₽8 629/M | ₽64 717 |
| Dall E 3 | dall e 3 | ₽2 876/M | ₽2 876/M | ₽71 908 |
| gpt 5.2 pro | openai | ₽1 510/M | ₽12 080/M | ₽90 604 |
| gpt 5.4 pro | openai | ₽2 157/M | ₽12 943/M | ₽107 862 |
| gpt 5.5 pro | openai | ₽2 157/M | ₽12 943/M | ₽107 862 |
| GPT 4 32K | gpt 4 32k | ₽4 314/M | ₽8 629/M | ₽129 434 |
| whisper 1 | openai | ₽7 191/M | ₽7 191/M | ₽179 769 |
| o1 pro | openai | ₽12 224/M | ₽48 897/M | ₽488 972 |
Без публичной цены
нет данных в открытых источниках · 7
▼
Без публичной цены
нет данных в открытых источниках · 7
| Модель | Maker | Примечание |
|---|---|---|
| glm 4.7 flash | z ai | — |
| K2.6 Code Preview (free) | k2.6 code preview free | — |
| Kimi For Coding (free) | kimi for coding 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 · 622
▼
Текст и чат
оплата за токены · 622
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Llama3 Groq 8B 8192 Tool Use Preview | llama3 groq 8b 8192 tool use preview | ₽0.01/M | ₽0.01/M | ₽0 |
| Yi VL Plus | yi vl plus | ₽0.06/M | ₽0.06/M | ₽2 |
| Llama3 Groq 70B 8192 Tool Use Preview | llama3 groq 70b 8192 tool use preview | ₽0.06/M | ₽0.06/M | ₽2 |
| Mistral 7B Instruct (free) | mistralai | ₽0.14/M | ₽0.14/M | ₽4 |
| DeepSeek R1 Distill Llama 8B | deepseek ai | ₽0.72/M | ₽0.72/M | ₽18 |
| DeepSeek R1 Distill Qwen 1.5b | deepseek ai | ₽0.72/M | ₽0.72/M | ₽18 |
| DeepSeek R1 Distill Qwen 7B | deepseek ai | ₽0.72/M | ₽0.72/M | ₽18 |
| DeepSeek Ocr | deepseek ocr | ₽1.44/M | ₽1.44/M | ₽36 |
| DeepSeek R1t Chimera | tngtech | ₽1.44/M | ₽1.44/M | ₽36 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽1.44/M | ₽1.44/M | ₽36 |
| gemma 2 9b it | gemma 2 9b it | ₽1.44/M | ₽1.44/M | ₽36 |
| Llama 3.1 405B Instruct | llama 3.1 405b instruct | ₽1.44/M | ₽1.44/M | ₽36 |
| llama 3.1 70b | together | ₽1.44/M | ₽1.44/M | ₽36 |
| Llama 3.1 8B | llama 3.1 8b | ₽1.44/M | ₽1.44/M | ₽36 |
| Llama 3.2 11B Vision Preview | meta llama | ₽1.44/M | ₽1.44/M | ₽36 |
| Llama 3.2 3B Preview | meta llama | ₽1.44/M | ₽1.44/M | ₽36 |
| Omni Moderation | omni moderation latest | ₽1.44/M | ₽1.44/M | ₽36 |
| text embedding 3 small | openai | ₽1.44/M | ₽1.44/M | ₽36 |
| Text Embedding V1 | text embedding 004 | ₽1.44/M | ₽1.44/M | ₽36 |
| ERNIE 4.5 0.3b | ernie 4.5 0.3b | ₽0.98/M | ₽3.91/M | ₽39 |
| Coding GLM 4.5 Air | coding glm 4.5 air | ₽1.01/M | ₽6.04/M | ₽50 |
| GLM Ocr | glm ocr | ₽2.03/M | ₽2.03/M | ₽51 |
| Bge Large En V1.5 | BAAI | ₽2.44/M | ₽2.44/M | ₽61 |
| Bge Large Zh V1.5 | BAAI | ₽2.44/M | ₽2.44/M | ₽61 |
| Bge Reranker V2 M3 | BAAI | ₽2.44/M | ₽2.44/M | ₽61 |
| Deepinfra Llama 3.1 8B Instant | deepinfra llama 3.1 8b instant | ₽2.37/M | ₽3.95/M | ₽67 |
| Jina Embeddings V5 Text Nano | jina embeddings v5 text nano | ₽3.60/M | ₽3.60/M | ₽72 |
| Jina Embeddings V5 Text Small | jina embeddings v5 text small | ₽3.60/M | ₽3.60/M | ₽72 |
| Coding Step 3.5 Flash | coding step 3.5 flash | ₽2.16/M | ₽6.47/M | ₽76 |
| Step 3.7 Flash | step 3.7 flash | ₽1.58/M | ₽9.49/M | ₽79 |
| GLM 4 9B 0414 | THUDM | ₽3.60/M | ₽3.60/M | ₽90 |
| GLM Z1 9B 0414 | THUDM | ₽3.60/M | ₽3.60/M | ₽90 |
| jina clip v1 | jina clip v1 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Colbert V2 | jina colbert v2 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Embeddings V3 | jina embeddings v3 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Reranker M0 | jina reranker m0 | ₽3.60/M | ₽3.60/M | ₽90 |
| Jina Reranker V3 | jina reranker v3 | ₽3.60/M | ₽3.60/M | ₽90 |
| Bce Reranker Base | bce reranker base | ₽4.89/M | ₽4.89/M | ₽98 |
| Cohere Rerank V4.0 Fast | cohere rerank v4.0 fast | ₽4.89/M | ₽4.89/M | ₽98 |
| Cohere Rerank V4.0 Pro | cohere rerank v4.0 pro | ₽4.89/M | ₽4.89/M | ₽98 |
| Embedding V1 | embedding 001 | ₽4.89/M | ₽4.89/M | ₽98 |
| Qwen3 Embedding 0.6b | qwen3 embedding 0.6b | ₽4.89/M | ₽4.89/M | ₽98 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽4.89/M | ₽4.89/M | ₽98 |
| Qwen Turbo | qwen turbo | ₽3.31/M | ₽6.62/M | ₽99 |
| Qwen Flash | qwen flash | ₽1.44/M | ₽14.38/M | ₽101 |
| Qwen3 VL Flash | qwen3 vl flash | ₽1.48/M | ₽14.81/M | ₽104 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽3.60/M | ₽7.19/M | ₽108 |
| Groq Llama 3.1 8B Instant | groq llama 3.1 8b instant | ₽3.95/M | ₽6.33/M | ₽111 |
| Pro · THUDM · GLM-4.1V-9B-Thinking | Pro | ₽2.88/M | ₽11.51/M | ₽115 |
| Bge Large En | bge large en | ₽4.89/M | ₽4.89/M | ₽122 |
| Bge Large Zh | bge large zh | ₽4.89/M | ₽4.89/M | ₽122 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽4.89/M | ₽4.89/M | ₽122 |
| Tao 8K | tao 8k | ₽4.89/M | ₽4.89/M | ₽122 |
| Embedding 2 | embedding 2 | ₽4.93/M | ₽4.93/M | ₽123 |
| Embedding 3 | embedding 3 | ₽4.93/M | ₽4.93/M | ₽123 |
| Nvidia Nemotron Nano 9B V2 | nvidia nemotron nano 9b v2 | ₽3.16/M | ₽12.66/M | ₽127 |
| Doubao Lite 32K | Doubao lite 32k | ₽4.31/M | ₽8.63/M | ₽129 |
| Doubao Lite 4K | Doubao lite 4k | ₽4.31/M | ₽8.63/M | ₽129 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽4.31/M | ₽8.63/M | ₽129 |
| Doubao Seed 2.0 Mini 260428 | doubao seed 2 0 mini 260428 | ₽2.03/M | ₽20.28/M | ₽142 |
| Qwen3.5 Flash | qwen3.5 flash | ₽2.03/M | ₽20.28/M | ₽142 |
| glm 4 32b | z ai | ₽5.75/M | ₽5.75/M | ₽144 |
| GLM Z1 32B 0414 | THUDM | ₽5.75/M | ₽5.75/M | ₽144 |
| Qwen2 7B Instruct | Qwen | ₽5.75/M | ₽5.75/M | ₽144 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽2.17/M | ₽21.67/M | ₽152 |
| CC GLM 4.6 | cc glm 4.6 | ₽4.31/M | ₽15.82/M | ₽165 |
| CC GLM 4.7 | cc glm 4.7 | ₽4.31/M | ₽15.82/M | ₽165 |
| CC GLM 5 | cc glm 5 | ₽4.31/M | ₽15.82/M | ₽165 |
| CC GLM 5 Turbo | cc glm 5 turbo | ₽4.31/M | ₽15.82/M | ₽165 |
| CC GLM 5.1 | cc glm 5.1 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 4.6 | coding glm 4.6 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 4.7 | coding glm 4.7 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 5 | coding glm 5 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 5 Turbo | coding glm 5 turbo | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 5.1 | coding glm 5.1 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding GLM 5.2 | coding glm 5.2 | ₽4.31/M | ₽15.82/M | ₽165 |
| Coding Xiaomi Mimo V2.5 | coding xiaomi mimo v2.5 | ₽5.75/M | ₽11.51/M | ₽173 |
| Embed V 4.0 | embed v 4 0 | ₽8.63/M | ₽8.63/M | ₽173 |
| Qianfan Ocr | qianfan ocr | ₽4.46/M | ₽17.83/M | ₽178 |
| CC MiniMax M2 | cc minimax m2 | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.1 | cc minimax m2.1 | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.5 | cc minimax m2.5 | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.5 Highspeed | cc minimax m2.5 highspeed | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.7 | cc minimax m2.7 | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M2.7 Highspeed | cc minimax m2.7 highspeed | ₽7.19/M | ₽7.19/M | ₽180 |
| CC MiniMax M3 | cc minimax m3 | ₽7.19/M | ₽7.19/M | ₽180 |
| DeepSeek Prover V2 671B | deepseek ai | ₽7.19/M | ₽7.19/M | ₽180 |
| DeepSeek R1 Distill Qwen 14B | deepseek ai | ₽7.19/M | ₽7.19/M | ₽180 |
| Doubao Embedding Large Text 240915 | doubao embedding large text 240915 | ₽7.19/M | ₽7.19/M | ₽180 |
| Gemma 7B It | gemma 7b it | ₽7.19/M | ₽7.19/M | ₽180 |
| GLM 4 Flash | glm 4 flash | ₽7.19/M | ₽7.19/M | ₽180 |
| GLM 4.1 Vision 9B Thinking | THUDM | ₽7.19/M | ₽7.19/M | ₽180 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽7.19/M | ₽7.19/M | ₽180 |
| Mm Minimax M2.7 Highspeed | mm minimax m2.7 highspeed | ₽7.19/M | ₽7.19/M | ₽180 |
| Text Embedding ADA | text embedding ada | ₽7.19/M | ₽7.19/M | ₽180 |
| Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 | deepinfra nvidia nemotron 3 nano 30b a3b2 | ₽4.75/M | ₽18.98/M | ₽190 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.75/M | ₽18.98/M | ₽190 |
| ERNIE 4.5 | ernie 4.5 | ₽4.89/M | ₽19.56/M | ₽196 |
| Ling Mini 2.0 | inclusionAI | ₽4.89/M | ₽19.56/M | ₽196 |
| gte rerank | gte rerank | ₽7.91/M | ₽7.91/M | ₽198 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽7.91/M | ₽7.91/M | ₽198 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽7.91/M | ₽7.91/M | ₽198 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽7.91/M | ₽7.91/M | ₽198 |
| Aihubmix Phi 4 Mini (reasoning) | AiHubmix Phi 4 mini reasoning | ₽8.63/M | ₽8.63/M | ₽216 |
| gpt 5 nano | openai | ₽3.60/M | ₽28.76/M | ₽216 |
| Doubao Seed 1.6 Flash | doubao seed 1 6 flash | ₽3.16/M | ₽31.64/M | ₽221 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽3.16/M | ₽31.64/M | ₽221 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.31/M | ₽33.08/M | ₽232 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.31/M | ₽33.08/M | ₽232 |
| Qwen3 4B | qwen3 4b | ₽3.31/M | ₽33.08/M | ₽232 |
| text embedding 3 large | openai | ₽9.35/M | ₽9.35/M | ₽234 |
| qwen3.5 35b a3b | qwen | ₽4.06/M | ₽32.44/M | ₽243 |
| Deepinfra Llama 4 Scout 17B 16e Instruct | deepinfra llama 4 scout 17b 16e instruct | ₽6.33/M | ₽23.73/M | ₽245 |
| Gme Qwen2 VL 2B Instruct | gme qwen2 vl 2b instruct | ₽9.92/M | ₽9.92/M | ₽248 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽7.77/M | ₽19.42/M | ₽252 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽7.88/M | ₽19.70/M | ₽256 |
| Coding Xiaomi Mimo V2 Omni | coding xiaomi mimo v2 omni | ₽5.75/M | ₽28.76/M | ₽259 |
| Deepinfra Gemma 4 26B A4B It | deepinfra gemma 4 26b a4b it | ₽6.33/M | ₽27.68/M | ₽265 |
| Step 3.5 Flash | step 3.5 flash | ₽7.91/M | ₽23.73/M | ₽277 |
| Deepinfra Llama 3.3 70B Instant Turbo | deepinfra llama 3.3 70b instant turbo | ₽7.91/M | ₽25.31/M | ₽285 |
| Baichuan4 Air | Baichuan4 Air | ₽11.51/M | ₽11.51/M | ₽288 |
| DeepSeek Llm 67B Chat | deepseek ai | ₽11.51/M | ₽11.51/M | ₽288 |
| DeepSeek Vl2 | deepseek ai | ₽11.51/M | ₽11.51/M | ₽288 |
| gemini 2.5 flash lite | ₽7.19/M | ₽28.76/M | ₽288 | |
| gemini embedding 2 | gemini embedding 2 | ₽14.38/M | ₽14.38/M | ₽288 |
| gpt 4.1 nano | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| qwen 2.5 coder 32b instruct | qwen | ₽11.51/M | ₽11.51/M | ₽288 |
| Qwen Long | qwen long | ₽7.19/M | ₽28.76/M | ₽288 |
| QwQ 32B | Qwen | ₽11.51/M | ₽11.51/M | ₽288 |
| qwen3 30b a3b instruct 2507 | qwen | ₽7.39/M | ₽29.57/M | ₽296 |
| qwen3 vl 30b a3b instruct | qwen | ₽7.39/M | ₽29.57/M | ₽296 |
| Doubao Lite 128K | Doubao lite 128k | ₽10.07/M | ₽20.13/M | ₽302 |
| Groq Llama 4 Scout 17B 16e Instruct | groq llama 4 scout 17b 16e instruct | ₽8.77/M | ₽26.32/M | ₽307 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽7.77/M | ₽31.06/M | ₽311 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽9.64/M | ₽24.09/M | ₽313 |
| Coding Step 3.7 Flash | coding step 3.7 flash | ₽6.33/M | ₽37.97/M | ₽316 |
| ERNIE 4.5 Turbo | ernie 4.5 turbo latest | ₽7.91/M | ₽31.64/M | ₽316 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽7.91/M | ₽31.64/M | ₽316 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽6.50/M | ₽39.01/M | ₽325 |
| Doubao Seed 2.0 Lite 260428 | doubao seed 2 0 lite 260428 | ₽6.50/M | ₽39.01/M | ₽325 |
| Doubao Pro 32K | Doubao pro 32k | ₽10.07/M | ₽25.17/M | ₽327 |
| Doubao Pro 4K | Doubao pro 4k | ₽10.07/M | ₽25.17/M | ₽327 |
| deepseek v4 flash | deepseek | ₽11.07/M | ₽22.15/M | ₽332 |
| Xiaomi Mimo V2.5 | xiaomi mimo v2.5 | ₽11.15/M | ₽22.29/M | ₽334 |
| glm 4.6v | z ai | ₽9.85/M | ₽29.55/M | ₽345 |
| gemma 4 26b a4b it | ₽10.07/M | ₽28.76/M | ₽345 | |
| gemma 4 31b it | ₽10.07/M | ₽28.76/M | ₽345 | |
| Aihub Phi 4 | aihub Phi 4 | ₽8.63/M | ₽34.52/M | ₽345 |
| Aihub Phi 4 Mini Instruct | aihub Phi 4 mini instruct | ₽8.63/M | ₽34.52/M | ₽345 |
| Aihub Phi 4 Multimodal Instruct | aihub Phi 4 multimodal instruct | ₽8.63/M | ₽34.52/M | ₽345 |
| DeepSeek Coder V2 Instruct | deepseek ai | ₽11.51/M | ₽23.01/M | ₽345 |
| DeepSeek V2 Chat | deepseek ai | ₽11.51/M | ₽23.01/M | ₽345 |
| DeepSeek V2.5 | deepseek ai | ₽11.51/M | ₽23.01/M | ₽345 |
| Doubao Seed 1.6 Lite | doubao seed 1 6 lite | ₽5.90/M | ₽47.17/M | ₽354 |
| gpt oss 20b | openai | ₽7.91/M | ₽39.55/M | ₽356 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽7.91/M | ₽39.55/M | ₽356 |
| CC Doubao Seed Code Preview | cc doubao seed code preview latest | ₽14.38/M | ₽14.38/M | ₽360 |
| CC K2.6 Code Preview | cc k2.6 code preview | ₽14.38/M | ₽14.38/M | ₽360 |
| CC Kimi For Coding | cc kimi for coding | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2 | coding minimax m2 | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.1 | coding minimax m2.1 | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.5 | coding minimax m2.5 | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.5 Highspeed | coding minimax m2.5 highspeed | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.7 | coding minimax m2.7 | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M2.7 Highspeed | coding minimax m2.7 highspeed | ₽14.38/M | ₽14.38/M | ₽360 |
| Coding MiniMax M3 | coding minimax m3 | ₽14.38/M | ₽14.38/M | ₽360 |
| DeepSeek R1 Distill Qwen 32B | deepseek ai | ₽14.38/M | ₽14.38/M | ₽360 |
| Doubao Seed Code Preview | doubao seed code preview latest | ₽14.38/M | ₽14.38/M | ₽360 |
| gemma 3 12b it | ₽14.38/M | ₽14.38/M | ₽360 | |
| Gemma 3 1B It | gemma 3 1b it | ₽14.38/M | ₽14.38/M | ₽360 |
| gemma 3 27b it | ₽14.38/M | ₽14.38/M | ₽360 | |
| Gemma 3 4B It | gemma 3 4b it | ₽14.38/M | ₽14.38/M | ₽360 |
| gemma 3n e4b it | ₽14.38/M | ₽14.38/M | ₽360 | |
| Google Gemma 3 12B It | google gemma 3 12b it | ₽14.38/M | ₽14.38/M | ₽360 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽14.38/M | ₽14.38/M | ₽360 |
| Google Gemma 3 4B It | google gemma 3 4b it | ₽14.38/M | ₽14.38/M | ₽360 |
| Hunyuan Mt 7B | tencent | ₽14.38/M | ₽14.38/M | ₽360 |
| Llama 3.2 1B Preview | meta llama | ₽14.38/M | ₽14.38/M | ₽360 |
| llama 4 maverick | meta llama | ₽14.38/M | ₽14.38/M | ₽360 |
| llama 4 scout | meta llama | ₽14.38/M | ₽14.38/M | ₽360 |
| Moonlight 16B A3B Instruct | moonshotai | ₽14.38/M | ₽14.38/M | ₽360 |
| Qwen2 1.5b Instruct | Qwen | ₽14.38/M | ₽14.38/M | ₽360 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽14.38/M | ₽14.38/M | ₽360 |
| qwen3 8b | qwen | ₽14.38/M | ₽14.38/M | ₽360 |
| Text Moderation | text moderation latest | ₽14.38/M | ₽14.38/M | ₽360 |
| Text Moderation 007 | text moderation 007 | ₽14.38/M | ₽14.38/M | ₽360 |
| Text Moderation Stable | text moderation stable | ₽14.38/M | ₽14.38/M | ₽360 |
| Yi Lightning | yi lightning | ₽14.38/M | ₽14.38/M | ₽360 |
| qwen3.5 27b | qwen | ₽6.08/M | ₽48.67/M | ₽365 |
| ERNIE X1 Turbo | ernie x1 turbo | ₽9.78/M | ₽39.12/M | ₽391 |
| ERNIE X1.1 Preview | ERNIE X1.1 Preview | ₽9.78/M | ₽39.12/M | ₽391 |
| Ling Flash 2.0 | inclusionAI | ₽9.78/M | ₽39.12/M | ₽391 |
| qwen3 coder flash | qwen | ₽9.78/M | ₽39.12/M | ₽391 |
| Ring Flash 2.0 | inclusionAI | ₽9.78/M | ₽39.12/M | ₽391 |
| Qwen3.5 Plus | qwen3.5 plus | ₽7.88/M | ₽47.29/M | ₽394 |
| DeepSeek R1 Distill Qianfan Llama 8B | deepseek r1 distill qianfan llama 8b | ₽9.85/M | ₽39.41/M | ₽394 |
| Kat Dev | kat dev | ₽9.85/M | ₽39.41/M | ₽394 |
| qwen3 coder next | qwen | ₽9.85/M | ₽39.41/M | ₽394 |
| Qwen3 Next 80B A3B | Qwen | ₽9.92/M | ₽39.69/M | ₽397 |
| hunyuan a13b | hunyuan a13b | ₽10.07/M | ₽40.27/M | ₽403 |
| Coding Xiaomi Mimo V2.5 Pro | coding xiaomi mimo v2.5 pro | ₽14.38/M | ₽28.76/M | ₽431 |
| gpt 4o mini | openai | ₽10.79/M | ₽43.14/M | ₽431 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽10.79/M | ₽43.14/M | ₽431 |
| Qwen2 57B A14B Instruct | Qwen | ₽17.26/M | ₽17.26/M | ₽431 |
| Qwen2.5 Coder 1.5b Instruct | qwen2.5 coder 1.5b instruct | ₽14.38/M | ₽28.76/M | ₽431 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽14.38/M | ₽28.76/M | ₽431 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽14.38/M | ₽28.76/M | ₽431 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽17.26/M | ₽17.26/M | ₽431 |
| Hy3 Preview | hy3 preview | ₽12.22/M | ₽40.75/M | ₽448 |
| Longcat Flash Chat | LongCat Flash Chat | ₽10.07/M | ₽50.34/M | ₽453 |
| qwen3 32b | qwen | ₽11.51/M | ₽46.02/M | ₽460 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽14.38/M | ₽35.95/M | ₽467 |
| Grok Code Fast 1 | grok code fast 1 | ₽14.38/M | ₽35.95/M | ₽467 |
| Qwen Mt Turbo | qwen mt turbo | ₽13.81/M | ₽38.46/M | ₽468 |
| Seed Oss 36B Instruct | ByteDance Seed | ₽14.38/M | ₽38.40/M | ₽480 |
| MiMo V2 Flash | mimo v2 flash | ₽13.79/M | ₽41.38/M | ₽483 |
| qwen3.5 122b a10b | qwen | ₽8.10/M | ₽64.77/M | ₽486 |
| claude 3 haiku | anthropic | ₽19.77/M | ₽19.77/M | ₽494 |
| Coding Xiaomi Mimo V2 Pro | coding xiaomi mimo v2 pro | ₽14.38/M | ₽43.14/M | ₽503 |
| Gemini Pro | gemini pro | ₽14.38/M | ₽43.14/M | ₽503 |
| glm 4.5 air | z ai | ₽10.07/M | ₽60.40/M | ₽503 |
| Qianfan Qi VL | qianfan qi vl | ₽14.38/M | ₽43.14/M | ₽503 |
| Chatglm_lite | chatglm_lite | ₽20.55/M | ₽20.55/M | ₽514 |
| CC DeepSeek V3 | cc deepseek v3 | ₽21.57/M | ₽21.57/M | ₽539 |
| Llama 3.1 Sonar Small 128K Online | llama 3.1 sonar small 128k online | ₽21.57/M | ₽21.57/M | ₽539 |
| Llama3 8B 8192(33) | llama3 8b 8192(33) | ₽21.57/M | ₽21.57/M | ₽539 |
| Llama3 8B Chat | meta | ₽21.57/M | ₽21.57/M | ₽539 |
| Alicloud Deepseek V3.2 | alicloud deepseek v3.2 | ₽19.70/M | ₽29.55/M | ₽542 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽7.88/M | ₽78.80/M | ₽552 |
| Groq Llama 4 Maverick 17B 128e Instruct | groq llama 4 maverick 17b 128e instruct | ₽15.82/M | ₽47.46/M | ₽554 |
| Nvidia Nemotron Nano 12B V2 VL | nvidia nemotron nano 12b v2 vl | ₽15.82/M | ₽47.46/M | ₽554 |
| qwen plus | qwen | ₽8.10/M | ₽80.97/M | ₽567 |
| Aihubmix Command R 08 2024 | aihubmix command r 08 2024 | ₽14.38/M | ₽57.53/M | ₽575 |
| Command R | command r | ₽14.38/M | ₽57.53/M | ₽575 |
| Mistral Small 3.1 24B Instruct 2503 | chutesai | ₽14.38/M | ₽57.53/M | ₽575 |
| qwen3 coder 30b a3b instruct | qwen | ₽14.38/M | ₽57.53/M | ₽575 |
| gpt oss 120b | openai | ₽12.94/M | ₽64.72/M | ₽582 |
| qwen3.5 397b a17b | qwen | ₽11.82/M | ₽70.93/M | ₽591 |
| deepseek v3.2 | deepseek | ₽21.72/M | ₽32.57/M | ₽597 |
| qwen3 30b a3b | qwen | ₽8.63/M | ₽86.29/M | ₽604 |
| MiniMax Text 01 | MiniMax Text 01 | ₽10.07/M | ₽80.54/M | ₽604 |
| qwen3.6 flash | qwen | ₽12.15/M | ₽72.91/M | ₽608 |
| Grok 3 Mini | grok 3 mini | ₽21.57/M | ₽36.03/M | ₽612 |
| Qianfan Llama VL 8B | qianfan llama vl 8b | ₽19.70/M | ₽49.26/M | ₽640 |
| Aihubmix Llama 3.1 8B Instruct | aihubmix Llama 3 1 8B Instruct | ₽21.57/M | ₽43.14/M | ₽647 |
| Llama 3.1 8B Instant | llama 3.1 8b instant | ₽21.57/M | ₽43.14/M | ₽647 |
| Llama3.1 8B | llama3.1 8b | ₽21.57/M | ₽43.14/M | ₽647 |
| Qwen2 VL 7B Instruct | Qwen2 VL 7B Instruct | ₽20.13/M | ₽50.34/M | ₽654 |
| glm 4.5v | z ai | ₽19.70/M | ₽59.11/M | ₽690 |
| Qwen3 VL Plus | qwen3 vl plus | ₽9.85/M | ₽98.51/M | ₽690 |
| Aihubmix Llama 3.2 11B Vision | aihubmix Llama 3 2 11B Vision | ₽28.76/M | ₽28.76/M | ₽719 |
| Mythomax L2 13B | Gryphe | ₽28.76/M | ₽28.76/M | ₽719 |
| Qwen2.5 7B Instruct | Qwen | ₽28.76/M | ₽28.76/M | ₽719 |
| Text Ada 001 | text ada 001 | ₽28.76/M | ₽28.76/M | ₽719 |
| Yi Medium | yi medium | ₽28.76/M | ₽28.76/M | ₽719 |
| gpt 5.4 nano | openai | ₽14.38/M | ₽89.88/M | ₽737 |
| DeepSeek V3 | deepseek search | ₽19.56/M | ₽78.24/M | ₽782 |
| glm 4.6 | z ai | ₽19.70/M | ₽78.80/M | ₽788 |
| glm 4.7 | z ai | ₽19.70/M | ₽78.80/M | ₽788 |
| Bai Qwen3 VL 235B A22B Instruct | bai qwen3 vl 235b a22b instruct | ₽19.70/M | ₽78.81/M | ₽788 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽19.70/M | ₽78.81/M | ₽788 |
| qwen3 14b | qwen | ₽11.51/M | ₽115/M | ₽805 |
| qwen3 235b a22b | qwen | ₽20.13/M | ₽80.54/M | ₽805 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽20.13/M | ₽80.54/M | ₽805 |
| qwen3.7 plus | qwen | ₽20.28/M | ₽81.11/M | ₽811 |
| Alicloud Minimax M2.5 | alicloud minimax m2.5 | ₽20.68/M | ₽82.72/M | ₽827 |
| minimax m2 | minimax | ₽20.71/M | ₽82.84/M | ₽828 |
| minimax m2.1 | minimax | ₽20.71/M | ₽82.84/M | ₽828 |
| minimax m2.5 | minimax | ₽20.71/M | ₽82.84/M | ₽828 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽20.71/M | ₽82.84/M | ₽828 |
| minimax m3 | minimax | ₽20.71/M | ₽82.84/M | ₽828 |
| Mm Minimax M3 | mm minimax m3 | ₽20.71/M | ₽82.84/M | ₽828 |
| minimax m2.7 | minimax | ₽21.27/M | ₽85.08/M | ₽851 |
| gemini 2.5 flash image | ₽21.57/M | ₽86.29/M | ₽863 | |
| Qwen Qwq 32B | qwen qwq 32b | ₽28.76/M | ₽57.53/M | ₽863 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽28.76/M | ₽57.53/M | ₽863 |
| gemini 3.1 flash lite | ₽17.98/M | ₽108/M | ₽899 | |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽35.95/M | ₽35.95/M | ₽899 |
| Llama 3_1 Nemotron Ultra 253B V1 | nvidia | ₽35.95/M | ₽35.95/M | ₽899 |
| Llama 3.2 90B Vision Preview | meta llama | ₽35.95/M | ₽35.95/M | ₽899 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽35.95/M | ₽35.95/M | ₽899 |
| Llama2 70B 40960 | llama2 70b 40960 | ₽35.95/M | ₽35.95/M | ₽899 |
| qwen2.5 vl 72b instruct | qwen | ₽35.95/M | ₽35.95/M | ₽899 |
| Text Babbage 001 | text babbage 001 | ₽35.95/M | ₽35.95/M | ₽899 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽12.94/M | ₽129/M | ₽906 |
| Qwen 3 235B A22B Instruct 2507 | qwen 3 235b a22b instruct 2507 | ₽20.13/M | ₽101/M | ₽906 |
| qwen3.6 35b a3b | qwen | ₽18.26/M | ₽110/M | ₽913 |
| CC ERNIE 4.5 300B A47B | cc ernie 4.5 300b a47b | ₽23.01/M | ₽92.04/M | ₽920 |
| CC Kimi Dev 72B | cc kimi dev 72b | ₽23.01/M | ₽92.04/M | ₽920 |
| ERNIE 4.5 300B A47B | baidu | ₽23.01/M | ₽92.04/M | ₽920 |
| Kimi Dev 72B | moonshotai | ₽23.01/M | ₽92.04/M | ₽920 |
| Meta Llama 3 8B | meta llama 3 8b | ₽39.41/M | ₽39.41/M | ₽985 |
| deepseek v4 pro | deepseek | ₽33.37/M | ₽66.73/M | ₽1 001 |
| Aihubmix Codestral 2501 | aihubmix Codestral 2501 | ₽28.76/M | ₽86.29/M | ₽1 007 |
| Codestral | codestral latest | ₽28.76/M | ₽86.29/M | ₽1 007 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽28.76/M | ₽86.29/M | ₽1 007 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽28.76/M | ₽86.29/M | ₽1 007 |
| qwen3.6 plus | qwen | ₽20.28/M | ₽122/M | ₽1 014 |
| Xiaomi Mimo V2.5 Pro | xiaomi mimo v2.5 pro | ₽34.52/M | ₽69.03/M | ₽1 035 |
| gpt 5 mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| gpt 5.1 codex mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| Cerebras Llama 3.3 70B | cerebras llama 3.3 70b | ₽43.14/M | ₽43.14/M | ₽1 079 |
| deepseek r1 distill llama 70b | deepseek | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Llama 3.1 70B Versatile | llama 3.1 70b versatile | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Llama 3.3 70B | Llama 3.3 70B | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Qwen2.5 32B Instruct | Qwen | ₽43.14/M | ₽43.14/M | ₽1 079 |
| Qwen Max | qwen max | ₽27.32/M | ₽109/M | ₽1 093 |
| Aihubmix Llama 3.1 70B Instruct | aihubmix Llama 3 1 70B Instruct | ₽43.14/M | ₽56.09/M | ₽1 143 |
| Ahm Phi 3.5 Moe Instruct | ahm Phi 3 5 MoE instruct | ₽28.76/M | ₽115/M | ₽1 151 |
| Ahm Phi 3.5 Vision Instruct | ahm Phi 3 5 vision instruct | ₽28.76/M | ₽115/M | ₽1 151 |
| Aihubmix Router | aihubmix router | ₽28.76/M | ₽115/M | ₽1 151 |
| glm 4.5 | z ai | ₽28.76/M | ₽115/M | ₽1 151 |
| gpt 4.1 mini | openai | ₽28.76/M | ₽115/M | ₽1 151 |
| Qwen 3 32B | qwen 3 32b | ₽28.76/M | ₽115/M | ₽1 151 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽33.08/M | ₽99.23/M | ₽1 158 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽12.94/M | ₽181/M | ₽1 165 |
| Qwen Mt Plus | qwen mt plus | ₽35.38/M | ₽106/M | ₽1 238 |
| Groq Llama 3.3 70B Versatile | groq llama 3.3 70b versatile | ₽46.67/M | ₽62.49/M | ₽1 246 |
| Aihubmix Llama 3 70B Instruct | aihubmix Llama 3 70B Instruct | ₽50.34/M | ₽50.34/M | ₽1 258 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽50.34/M | ₽50.34/M | ₽1 258 |
| gpt 3.5 turbo | openai | ₽35.95/M | ₽108/M | ₽1 258 |
| Mistral Large 3 | mistral large 3 | ₽35.95/M | ₽108/M | ₽1 258 |
| GLM 3 Turbo | glm 3 turbo | ₽51.05/M | ₽51.05/M | ₽1 276 |
| Alicloud Glm 4.7 | alicloud glm 4.7 | ₽29.55/M | ₽138/M | ₽1 281 |
| Chatglm_std | chatglm_std | ₽51.37/M | ₽51.37/M | ₽1 284 |
| Chatglm_turbo | chatglm_turbo | ₽51.37/M | ₽51.37/M | ₽1 284 |
| Aihubmix Mistral Medium | AiHubmix mistral medium | ₽28.76/M | ₽144/M | ₽1 294 |
| deepseek r1 | deepseek | ₽28.76/M | ₽144/M | ₽1 294 |
| qwen3 max | qwen | ₽32.42/M | ₽130/M | ₽1 297 |
| gemini 2.5 flash | ₽21.57/M | ₽180/M | ₽1 330 | |
| Llama3 70B 8192 | llama3 70b 8192 | ₽50.34/M | ₽67.40/M | ₽1 344 |
| Qwen 3 235B A22B | Qwen 3 235B A22B | ₽20.13/M | ₽201/M | ₽1 409 |
| CC DeepSeek V3.1 | cc deepseek v3.1 | ₽40.27/M | ₽121/M | ₽1 409 |
| deepseek v3.1 | deepseek v3.1 | ₽40.27/M | ₽121/M | ₽1 409 |
| deepseek v3.1 terminus | deepseek | ₽40.27/M | ₽121/M | ₽1 409 |
| MiMo V2 Omni | mimo v2 omni | ₽31.64/M | ₽158/M | ₽1 424 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽49.18/M | ₽88.53/M | ₽1 426 |
| gemma 2 27b it | ₽57.53/M | ₽57.53/M | ₽1 438 | |
| qwen 2.5 72b instruct | qwen | ₽57.53/M | ₽57.53/M | ₽1 438 |
| Qwen2 72B Instruct | Qwen | ₽57.53/M | ₽57.53/M | ₽1 438 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽57.53/M | ₽57.53/M | ₽1 438 |
| Azure Deepseek V3.2 | azure deepseek v3.2 | ₽41.71/M | ₽121/M | ₽1 438 |
| Azure Deepseek V3.2 Speciale | azure deepseek v3.2 speciale | ₽41.71/M | ₽121/M | ₽1 438 |
| Qianfan Chinese Llama 2 13B | qianfan chinese llama 2 13b | ₽59.11/M | ₽59.11/M | ₽1 478 |
| qwen3.6 27b | qwen | ₽30.35/M | ₽182/M | ₽1 517 |
| kimi k2 | moonshotai | ₽38.83/M | ₽155/M | ₽1 553 |
| qwen3 coder plus | qwen | ₽38.83/M | ₽155/M | ₽1 553 |
| Doubao Seed 2.0 Code | Doubao Seed 2.0 Code | ₽34.67/M | ₽173/M | ₽1 560 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽34.67/M | ₽173/M | ₽1 560 |
| Alicloud Kimi K2 Instruct | alicloud kimi k2 instruct | ₽39.41/M | ₽158/M | ₽1 576 |
| CC Kimi K2 Instruct | cc kimi k2 instruct | ₽39.41/M | ₽158/M | ₽1 576 |
| Ling 1t | inclusionAI | ₽39.41/M | ₽158/M | ₽1 576 |
| Ring 1t | inclusionAI | ₽39.41/M | ₽158/M | ₽1 576 |
| Sf Kimi K2 Thinking | sf kimi k2 thinking | ₽39.41/M | ₽158/M | ₽1 576 |
| Aihubmix Cohere Command R | aihubmix Cohere command r | ₽46.02/M | ₽138/M | ₽1 611 |
| Wizardcoder Python 34B V1.0 | WizardLM | ₽64.72/M | ₽64.72/M | ₽1 618 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽57.53/M | ₽104/M | ₽1 668 |
| Doubao Pro 128K | Doubao pro 128k | ₽57.53/M | ₽104/M | ₽1 668 |
| Doubao Pro 256K | Doubao pro 256k | ₽57.53/M | ₽104/M | ₽1 668 |
| Alicloud Glm 5 | alicloud glm 5 | ₽40.51/M | ₽182/M | ₽1 722 |
| ERNIE 5.1 | ernie 5.1 | ₽40.51/M | ₽182/M | ₽1 722 |
| MiniMax M1 80K | MiniMaxAI | ₽43.14/M | ₽173/M | ₽1 726 |
| Doubao 1.5 Thinking Pro | Doubao 1.5 thinking pro | ₽44.58/M | ₽178/M | ₽1 783 |
| gemini 3 flash | gemini 3 flash | ₽35.95/M | ₽216/M | ₽1 798 |
| Gemini 3.1 Flash Image | gemini 3.1 flash image | ₽35.95/M | ₽216/M | ₽1 798 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽71.91/M | ₽71.91/M | ₽1 798 |
| Gemini Pro Vision | gemini pro vision | ₽71.91/M | ₽71.91/M | ₽1 798 |
| Alicloud Kimi K2.5 | alicloud kimi k2.5 | ₽39.41/M | ₽207/M | ₽1 823 |
| Azure Kimi K2.5 | azure kimi k2.5 | ₽43.14/M | ₽216/M | ₽1 942 |
| kimi k2.5 | moonshotai | ₽43.14/M | ₽216/M | ₽1 942 |
| Moonshot Kimi K2.5 | moonshot kimi k2.5 | ₽43.14/M | ₽216/M | ₽1 942 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽57.53/M | ₽173/M | ₽2 013 |
| GLM 5 Vision Turbo | glm 5v turbo | ₽50.64/M | ₽223/M | ₽2 127 |
| Command | command | ₽71.91/M | ₽144/M | ₽2 157 |
| Command Light | command light | ₽71.91/M | ₽144/M | ₽2 157 |
| Command Light Nightly | command light nightly | ₽71.91/M | ₽144/M | ₽2 157 |
| Command Nightly | command nightly | ₽71.91/M | ₽144/M | ₽2 157 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽71.91/M | ₽144/M | ₽2 157 |
| grok build 0.1 | x ai | ₽71.91/M | ₽144/M | ₽2 157 |
| Llama 3.1 Sonar Large 128K Online | llama 3.1 sonar large 128k online | ₽86.29/M | ₽86.29/M | ₽2 157 |
| Qvq 72B Preview | Qwen | ₽86.29/M | ₽86.29/M | ₽2 157 |
| glm 5 | z ai | ₽63.28/M | ₽202/M | ₽2 278 |
| Qwen3 Coder 480B A35B Instruct | qwen3 coder 480b a35b instruct | ₽58.96/M | ₽236/M | ₽2 359 |
| ERNIE 5.0 | ernie 5.0 | ₽59.10/M | ₽236/M | ₽2 364 |
| Nvidia Llama 3.1 Nemotron 70B Instruct | nvidia llama 3.1 nemotron 70b instruct | ₽94.92/M | ₽94.92/M | ₽2 373 |
| glm 5.1 | z ai | ₽60.76/M | ₽243/M | ₽2 430 |
| Ahm Phi 3 Medium 4K | ahm Phi 3 medium 4k | ₽71.91/M | ₽216/M | ₽2 517 |
| Ahm Phi 3 Small 128K | ahm Phi 3 small 128k | ₽71.91/M | ₽216/M | ₽2 517 |
| Ahm Phi 3.5 Mini Instruct | ahm Phi 3 5 mini instruct | ₽71.91/M | ₽216/M | ₽2 517 |
| Chatglm_pro | chatglm_pro | ₽103/M | ₽103/M | ₽2 568 |
| Step3 | stepfun ai | ₽79.10/M | ₽198/M | ₽2 571 |
| Claude Instant 1.2 | claude instant 1.2 | ₽63.28/M | ₽285/M | ₽2 689 |
| gpt 5.4 mini | openai | ₽53.93/M | ₽324/M | ₽2 697 |
| grok 4.3 | x ai | ₽89.88/M | ₽180/M | ₽2 697 |
| MiMo V2 Pro | mimo v2 pro | ₽79.10/M | ₽237/M | ₽2 768 |
| kimi k2.6 | moonshotai | ₽68.31/M | ₽288/M | ₽2 804 |
| Kimi K2.7 Code | kimi k2.7 code | ₽68.31/M | ₽288/M | ₽2 804 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedream 4.0 | doubao seedream 4 0 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedream 4.5 | doubao seedream 4 5 | ₽144/M | ₽144/M | ₽2 876 |
| Doubao Seedream 5.0 Lite | doubao seedream 5.0 lite | ₽144/M | ₽144/M | ₽2 876 |
| ERNIE Image Turbo | ernie image turbo | ₽144/M | ₽144/M | ₽2 876 |
| Flux 2 Flex | flux 2 flex | ₽144/M | ₽144/M | ₽2 876 |
| Flux 2 Pro | flux 2 pro | ₽144/M | ₽144/M | ₽2 876 |
| Flux Kontext Max | flux kontext max | ₽144/M | ₽144/M | ₽2 876 |
| Fx Flux 2 Pro | fx flux 2 pro | ₽144/M | ₽144/M | ₽2 876 |
| Happyhorse 1.0 I2v | happyhorse 1.0 i2v | ₽144/M | ₽144/M | ₽2 876 |
| Happyhorse 1.0 R2v | happyhorse 1.0 r2v | ₽144/M | ₽144/M | ₽2 876 |
| Happyhorse 1.0 T2v | happyhorse 1.0 t2v | ₽144/M | ₽144/M | ₽2 876 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽144/M | ₽144/M | ₽2 876 |
| Musesteamer Air Image | musesteamer air image | ₽144/M | ₽144/M | ₽2 876 |
| Paddleocr VL 0.9b | paddleocr vl 0.9b | ₽144/M | ₽144/M | ₽2 876 |
| Pp Structurev3 | pp structurev3 | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image | qwen image | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image 2.0 | qwen image 2.0 | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image 2.0 Pro | qwen image 2.0 pro | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image Edit | qwen image edit | ₽144/M | ₽144/M | ₽2 876 |
| Qwen Image Max | qwen image max | ₽144/M | ₽144/M | ₽2 876 |
| Sonar | perplexity | ₽115/M | ₽115/M | ₽2 876 |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽144/M | ₽144/M | ₽2 876 |
| Veo 3.1 Lite Generate Preview | veo 3.1 lite generate preview | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.2 I2v Plus | wan2.2 i2v plus | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.5 I2v Preview | wan2.5 i2v preview | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.5 T2v Preview | wan2.5 t2v preview | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.6 I2v | wan2.6 i2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.6 T2i | wan2.6 t2i | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.6 T2v | wan2.6 t2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.7 I2v | wan2.7 i2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.7 R2v | wan2.7 r2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.7 T2v | wan2.7 t2v | ₽144/M | ₽144/M | ₽2 876 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽144/M | ₽144/M | ₽2 876 |
| glm 5 turbo | z ai | ₽86.29/M | ₽288/M | ₽3 164 |
| Zai Glm 5 Turbo | zai glm 5 turbo | ₽86.29/M | ₽288/M | ₽3 164 |
| o3 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o4 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| GLM 4.5 Airx | glm 4.5 airx | ₽79.10/M | ₽324/M | ₽3 203 |
| Claude Instant 1 | claude instant 1 | ₽129/M | ₽129/M | ₽3 223 |
| Yi Large Turbo | yi large turbo | ₽129/M | ₽129/M | ₽3 236 |
| Baichuan3 Turbo | Baichuan3 Turbo | ₽137/M | ₽137/M | ₽3 416 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽86.29/M | ₽345/M | ₽3 452 |
| claude 3.5 haiku | anthropic | ₽79.10/M | ₽395/M | ₽3 559 |
| claude haiku 4.5 | anthropic | ₽79.10/M | ₽395/M | ₽3 559 |
| Davinci | davinci | ₽144/M | ₽144/M | ₽3 595 |
| Describe | DESCRIBE | ₽144/M | ₽144/M | ₽3 595 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽144/M | ₽144/M | ₽3 595 |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽144/M | ₽144/M | ₽3 595 |
| Gemini | gemini exp 1206 | ₽89.88/M | ₽360/M | ₽3 595 |
| Gemini | gemini exp 1114 | ₽89.88/M | ₽360/M | ₽3 595 |
| Gemini | gemini exp 1121 | ₽89.88/M | ₽360/M | ₽3 595 |
| gemini 2.5 pro | ₽89.88/M | ₽360/M | ₽3 595 | |
| GLM 4 Vision Plus | glm 4v plus | ₽144/M | ₽144/M | ₽3 595 |
| GLM Image | glm image | ₽144/M | ₽144/M | ₽3 595 |
| GLM Zero Preview | glm zero preview | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 3.0 Generate 002 | imagen 3.0 generate 002 | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 | imagen 4.0 | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 Ultra | imagen 4.0 ultra | ₽144/M | ₽144/M | ₽3 595 |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate exp 05 20 | ₽144/M | ₽144/M | ₽3 595 |
| Janus Pro 7B | deepseek ai | ₽144/M | ₽144/M | ₽3 595 |
| Learnlm 1.5 Pro Experimental | learnlm 1.5 pro experimental | ₽89.88/M | ₽360/M | ₽3 595 |
| Mai Image 2 | mai image 2 | ₽144/M | ₽144/M | ₽3 595 |
| Moonshot V1 8K | moonshot v1 8k | ₽144/M | ₽144/M | ₽3 595 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽144/M | ₽144/M | ₽3 595 |
| Sora 2 | sora 2 | ₽144/M | ₽144/M | ₽3 595 |
| Sora 2 Pro | sora 2 pro | ₽144/M | ₽144/M | ₽3 595 |
| Step 2 16K | step 2 16k | ₽144/M | ₽144/M | ₽3 595 |
| Text Curie 001 | text curie 001 | ₽144/M | ₽144/M | ₽3 595 |
| Upscale | UPSCALE | ₽144/M | ₽144/M | ₽3 595 |
| V_1 | V_1 | ₽144/M | ₽144/M | ₽3 595 |
| V_1_turbo | V_1_TURBO | ₽144/M | ₽144/M | ₽3 595 |
| V_2 | V_2 | ₽144/M | ₽144/M | ₽3 595 |
| V_2_turbo | V_2_TURBO | ₽144/M | ₽144/M | ₽3 595 |
| V_2a | V_2A | ₽144/M | ₽144/M | ₽3 595 |
| V_2a_turbo | V_2A_TURBO | ₽144/M | ₽144/M | ₽3 595 |
| V3 | V3 | ₽144/M | ₽144/M | ₽3 595 |
| Veo 2.0 Generate 001 | veo 2.0 generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽144/M | ₽144/M | ₽3 595 |
| Wan2.7 Image | wan2.7 image | ₽144/M | ₽144/M | ₽3 595 |
| Wan2.7 Image Pro | wan2.7 image pro | ₽144/M | ₽144/M | ₽3 595 |
| DeepSeek R1 Zero | deepseek ai | ₽158/M | ₽158/M | ₽3 955 |
| Cbs Glm 4.7 | cbs glm 4.7 | ₽162/M | ₽198/M | ₽4 225 |
| qwen3.7 max | qwen | ₽122/M | ₽365/M | ₽4 253 |
| codex mini | codex mini | ₽108/M | ₽431/M | ₽4 314 |
| Aihubmix Llama 3.2 90B Vision | aihubmix Llama 3 2 90B Vision | ₽173/M | ₽173/M | ₽4 314 |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽173/M | ₽173/M | ₽4 314 |
| qwen3.6 max preview | qwen | ₽91.18/M | ₽547/M | ₽4 559 |
| Deepinfra Llama 4 Maverick 17B 128e Instruct | deepinfra llama 4 maverick 17b 128e instruct | ₽119/M | ₽475/M | ₽4 746 |
| Llama3 70B 8192(33) | llama3 70b 8192(33) | ₽191/M | ₽191/M | ₽4 764 |
| Aihubmix Mistral Large 2411 | aihubmix Mistral Large 2411 | ₽144/M | ₽431/M | ₽5 034 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽144/M | ₽431/M | ₽5 034 |
| grok 4.20 | x ai | ₽144/M | ₽431/M | ₽5 034 |
| Grok 4.20 Beta 0309 | grok 4.20 beta 0309 non reasoning | ₽144/M | ₽431/M | ₽5 034 |
| Grok 4.20 Beta 0309 (reasoning) | grok 4.20 beta 0309 reasoning | ₽144/M | ₽431/M | ₽5 034 |
| grok 4.20 multi agent | x ai | ₽144/M | ₽431/M | ₽5 034 |
| gpt 4o mini tts | openai | ₽43.14/M | ₽863/M | ₽5 177 |
| gemini 3.5 flash | ₽108/M | ₽647/M | ₽5 393 | |
| gpt 5 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex max | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| Yi Large | yi large | ₽216/M | ₽216/M | ₽5 393 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽157/M | ₽470/M | ₽5 487 |
| gpt 3.5 turbo 16k | openai | ₽216/M | ₽288/M | ₽5 753 |
| gpt 4.1 | openai | ₽144/M | ₽575/M | ₽5 753 |
| O3 | openai | ₽144/M | ₽575/M | ₽5 753 |
| Grok 2 1212 | grok 2 1212 | ₽129/M | ₽647/M | ₽5 825 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽129/M | ₽647/M | ₽5 825 |
| Aihubmix Jamba 1.5 Large | aihubmix Jamba 1 5 Large | ₽158/M | ₽633/M | ₽6 328 |
| GLM 4.5 X | glm 4.5 x | ₽158/M | ₽641/M | ₽6 367 |
| Baichuan3 Turbo 128K | Baichuan3 Turbo 128k | ₽273/M | ₽273/M | ₽6 831 |
| Gemini 3 Pro Image | gemini 3 pro image | ₽144/M | ₽863/M | ₽7 191 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽144/M | ₽863/M | ₽7 191 |
| gemini 3.1 pro preview customtools | ₽144/M | ₽863/M | ₽7 191 | |
| Cohere Command A | cohere command a | ₽180/M | ₽719/M | ₽7 191 |
| gpt 4o | openai | ₽180/M | ₽719/M | ₽7 191 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽180/M | ₽719/M | ₽7 191 |
| GPT 4o Zh | gpt 4o zh | ₽180/M | ₽719/M | ₽7 191 |
| Llama 3.1 405B (reasoning) | llama 3.1 405b reasoning | ₽288/M | ₽288/M | ₽7 191 |
| Moonshot V1 32K | moonshot v1 32k | ₽288/M | ₽288/M | ₽7 191 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽288/M | ₽288/M | ₽7 191 |
| Stable Diffusion 3.5 Large | Stable Diffusion 3 5 Large | ₽288/M | ₽288/M | ₽7 191 |
| Yi Large Rag | yi large rag | ₽288/M | ₽288/M | ₽7 191 |
| gpt 5.2 | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| GPT 5.2 High | gpt 5.2 high | ₽126/M | ₽1 007/M | ₽7 550 |
| GPT 5.2 Low | gpt 5.2 low | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.3 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.3 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| Aihubmix Mistral Large 2407 | aihubmix Mistral large 2407 | ₽216/M | ₽647/M | ₽7 550 |
| Mistral Large 2407 | Mistral large 2407 | ₽216/M | ₽647/M | ₽7 550 |
| Aihubmix Command R Plus | aihubmix command r plus | ₽201/M | ₽805/M | ₽8 054 |
| Command R Plus | command r plus | ₽201/M | ₽805/M | ₽8 054 |
| Meta Llama 3 70B | meta llama 3 70b | ₽345/M | ₽345/M | ₽8 620 |
| Computer Use Preview | computer use preview | ₽216/M | ₽863/M | ₽8 629 |
| o1 mini | o1 mini | ₽216/M | ₽863/M | ₽8 629 |
| gpt 5.4 | openai | ₽180/M | ₽1 079/M | ₽8 988 |
| GPT 5.4 High | gpt 5.4 high | ₽180/M | ₽1 079/M | ₽8 988 |
| GPT 5.4 Low | gpt 5.4 low | ₽180/M | ₽1 079/M | ₽8 988 |
| claude sonnet 4.6 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| Grok 3 | grok 3 | ₽216/M | ₽1 079/M | ₽9 708 |
| Distil Whisper Large V3 En | distil whisper large v3 en | ₽400/M | ₽400/M | ₽9 988 |
| Whisper Large V3 Turbo | whisper large v3 turbo | ₽400/M | ₽400/M | ₽9 988 |
| Aihubmix Mistral Large | aihubmix Mistral large | ₽288/M | ₽863/M | ₽10 067 |
| Llama 3.1 Sonar Huge 128K Online | llama 3.1 sonar huge 128k online | ₽403/M | ₽403/M | ₽10 067 |
| claude 3 sonnet | claude 3 sonnet | ₽237/M | ₽1 186/M | ₽10 678 |
| Claude 3.5 Sonnet | claude 3 5 sonnet | ₽237/M | ₽1 186/M | ₽10 678 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽237/M | ₽1 186/M | ₽10 678 |
| claude sonnet 4 | anthropic | ₽237/M | ₽1 186/M | ₽10 678 |
| claude sonnet 4.5 | anthropic | ₽237/M | ₽1 186/M | ₽10 678 |
| Grok 4 | grok 4 | ₽237/M | ₽1 186/M | ₽10 678 |
| gpt image 1.5 | openai | ₽360/M | ₽719/M | ₽10 786 |
| Aihubmix Llama 3.1 405B Instruct | aihubmix Llama 3 1 405B Instruct | ₽360/M | ₽1 079/M | ₽12 584 |
| Grok Vision Beta | grok vision beta | ₽403/M | ₽1 208/M | ₽14 094 |
| Mai Image 2e | mai image 2e | ₽360/M | ₽1 402/M | ₽14 202 |
| GLM 4 Plus | glm 4 plus | ₽575/M | ₽575/M | ₽14 382 |
| Ahm Phi 3 Medium 128K | ahm Phi 3 medium 128k | ₽431/M | ₽1 294/M | ₽15 101 |
| Claude 2 | claude 2 | ₽633/M | ₽633/M | ₽15 820 |
| Anthropic Opus 4.6 | anthropic opus 4 6 | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.5 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.6 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.7 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.8 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| Qwen Max Longcontext | qwen max longcontext | ₽503/M | ₽1 510/M | ₽17 617 |
| gpt 5.5 | openai | ₽360/M | ₽2 157/M | ₽17 977 |
| GPT Chat | gpt chat latest | ₽360/M | ₽2 157/M | ₽17 977 |
| GPT Image 2 | gpt image 2 | ₽360/M | ₽2 157/M | ₽17 977 |
| Cogview 3 Plus | cogview 3 plus | ₽719/M | ₽719/M | ₽17 977 |
| Moonshot V1 128K | moonshot v1 128k | ₽719/M | ₽719/M | ₽17 977 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽719/M | ₽719/M | ₽17 977 |
| gpt image 1 | openai | ₽360/M | ₽2 876/M | ₽21 572 |
| gpt image 1 mini | openai | ₽360/M | ₽2 876/M | ₽21 572 |
| GPT Image Test | gpt image test | ₽360/M | ₽2 876/M | ₽21 572 |
| gpt 4 | openai | ₽719/M | ₽2 157/M | ₽25 168 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽719/M | ₽2 157/M | ₽25 168 |
| gpt 4 turbo | openai | ₽719/M | ₽2 157/M | ₽25 168 |
| GPT 4 Vision Preview | gpt 4 vision preview | ₽719/M | ₽2 157/M | ₽25 168 |
| GLM 4 | glm 4 | ₽1 021/M | ₽1 021/M | ₽25 527 |
| GLM 4 Vision | glm 4v | ₽1 021/M | ₽1 021/M | ₽25 527 |
| Claude 2.0 | claude 2.0 | ₽633/M | ₽2 848/M | ₽26 893 |
| Claude 2.1 | claude 2.1 | ₽633/M | ₽2 848/M | ₽26 893 |
| tts 1 | openai | ₽1 079/M | ₽1 079/M | ₽26 965 |
| Tts 1 1106 | tts 1 1106 | ₽1 079/M | ₽1 079/M | ₽26 965 |
| Baichuan4 | Baichuan4 | ₽1 151/M | ₽1 151/M | ₽28 763 |
| Dall E 2 | dall e 2 | ₽1 151/M | ₽1 151/M | ₽28 763 |
| o3 deep research | openai | ₽719/M | ₽2 876/M | ₽28 763 |
| claude fable 5 | anthropic | ₽791/M | ₽3 955/M | ₽35 594 |
| Code Davinci Edit 001 | code davinci edit 001 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| Text Davinci 002 | text davinci 002 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| Text Search Ada Doc 001 | text search ada doc 001 | ₽1 438/M | ₽1 438/M | ₽35 954 |
| O1 | openai | ₽1 079/M | ₽4 314/M | ₽43 145 |
| claude 3 opus | claude 3 opus | ₽1 186/M | ₽5 932/M | ₽53 391 |
| claude opus 4 | anthropic | ₽1 186/M | ₽5 932/M | ₽53 391 |
| Kimi | kimi | ₽2 157/M | ₽2 157/M | ₽53 931 |
| tts 1 hd | openai | ₽2 157/M | ₽2 157/M | ₽53 931 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 157/M | ₽2 157/M | ₽53 931 |
| Whisper Large v3 | Whisper Large v3 | ₽2 217/M | ₽2 217/M | ₽55 430 |
| o3 pro | openai | ₽1 438/M | ₽5 753/M | ₽57 526 |
| Cogview 3 | cogview 3 | ₽2 553/M | ₽2 553/M | ₽63 818 |
| gpt 5 pro | openai | ₽1 079/M | ₽8 629/M | ₽64 717 |
| Dall E 3 | dall e 3 | ₽2 876/M | ₽2 876/M | ₽71 908 |
| gpt 5.2 pro | openai | ₽1 510/M | ₽12 080/M | ₽90 604 |
| gpt 5.4 pro | openai | ₽2 157/M | ₽12 943/M | ₽107 862 |
| gpt 5.5 pro | openai | ₽2 157/M | ₽12 943/M | ₽107 862 |
| GPT 4 32K | gpt 4 32k | ₽4 314/M | ₽8 629/M | ₽129 434 |
| whisper 1 | openai | ₽7 191/M | ₽7 191/M | ₽179 769 |
| o1 pro | openai | ₽12 224/M | ₽48 897/M | ₽488 972 |
Без публичной цены
нет данных в открытых источниках · 7
▼
Без публичной цены
нет данных в открытых источниках · 7
| Модель | Maker | Примечание |
|---|---|---|
| glm 4.7 flash | z ai | — |
| K2.6 Code Preview (free) | k2.6 code preview free | — |
| Kimi For Coding (free) | kimi for coding 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 629 моделей AI API. Средняя цена — ₽266/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.01/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 14.06.2026.