282 модели по list price — 0% markup, $5/mo free credits
- Моделей
- 222
- Средняя цена
- ₽256/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Vercel billing / credits
- Биллинг
- за токены
- API
- OpenAI-compatible
Привязка к экосистеме Vercel для billing/dashboard · Меньше моделей чем OpenRouter/AIgateway (~282 vs 400+) · Нет BYOK / enterprise SSO на уровне standalone gateway
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 77.9568 ₽ · 1 CNY = 11.5136 ₽ · 16.07.2026
222 моделей
Текст и чат
оплата за токены · 222
▼
Текст и чат
оплата за токены · 222
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| whisper 1 | openai | ₽0.0078/M | ₽0.0078/M | ₽0 |
| Seedream 5.0 Pro | bytedance | ₽0.23/M | ₽0.23/M | ₽5 |
| qwen3-embedding-0.6b | qwen | ₽0.78/M | ₽0.78/M | ₽16 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.56/M | ₽1.56/M | ₽31 |
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽31 |
| Titan Text Embeddings V2 | amazon | ₽1.56/M | ₽1.56/M | ₽31 |
| Voyage 3.5 Lite | voyage | ₽1.56/M | ₽1.56/M | ₽31 |
| Voyage 4 Lite | voyage | ₽1.56/M | ₽1.56/M | ₽31 |
| Voyage Rerank 2.5 Lite | voyage | ₽1.56/M | ₽1.56/M | ₽31 |
| Text Embedding 005 | text embedding 005 | ₽1.95/M | ₽1.95/M | ₽39 |
| Text multilingual embedding 002 | ₽1.95/M | ₽1.95/M | ₽39 | |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽3.90/M | ₽3.90/M | ₽78 |
| Voyage Rerank 2.5 | voyage | ₽3.90/M | ₽3.90/M | ₽78 |
| Voyage 3.5 | voyage | ₽4.68/M | ₽4.68/M | ₽94 |
| Voyage 4 | voyage | ₽4.68/M | ₽4.68/M | ₽94 |
| Nova Micro | amazon | ₽2.73/M | ₽10.91/M | ₽109 |
| trinity-mini | arcee ai | ₽3.51/M | ₽11.69/M | ₽129 |
| gpt oss 20b | openai | ₽3.90/M | ₽15.59/M | ₽156 |
| Mistral Embed | mistral embed | ₽7.80/M | ₽7.80/M | ₽156 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽156 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽3.90/M | ₽18.71/M | ₽172 |
| Nemotron Nano 9B V2 | NVIDIA | ₽4.68/M | ₽17.93/M | ₽183 |
| Nova Lite | amazon | ₽4.68/M | ₽18.71/M | ₽187 |
| Embed v4.0 | cohere | ₽9.35/M | ₽9.35/M | ₽187 |
| Voyage 4 Large | voyage | ₽9.35/M | ₽9.35/M | ₽187 |
| Voyage Code 2 | voyage | ₽9.35/M | ₽9.35/M | ₽187 |
| Voyage Finance 2 | voyage | ₽9.35/M | ₽9.35/M | ₽187 |
| Voyage Law 2 | voyage | ₽9.35/M | ₽9.35/M | ₽187 |
| Llama 3.2 1B Preview | meta llama | ₽7.80/M | ₽7.80/M | ₽195 |
| Ministral 3b | Ministral 3b | ₽7.80/M | ₽7.80/M | ₽195 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽203 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| Codestral Embed | mistral | ₽11.69/M | ₽11.69/M | ₽234 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽11.69/M | ₽11.69/M | ₽234 |
| gpt oss safeguard 20b | openai | ₽5.85/M | ₽23.39/M | ₽234 |
| GLM 4.7 FlashX | zai | ₽4.68/M | ₽31.18/M | ₽249 |
| Step 3.5 Flash | step 3.5 flash | ₽7.02/M | ₽23.39/M | ₽257 |
| glm 4.7 flash | z ai | ₽5.46/M | ₽31.18/M | ₽265 |
| Devstral Small 2 | mistral | ₽7.80/M | ₽23.39/M | ₽273 |
| Mistral Small | Mistral Small | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3 14b | qwen | ₽9.35/M | ₽18.71/M | ₽281 |
| Voyage Code 3 | voyage | ₽14.03/M | ₽14.03/M | ₽281 |
| voyage-3-large | voyage | ₽14.03/M | ₽14.03/M | ₽281 |
| Llama 3.2 3B | llama 3.2 3b | ₽11.69/M | ₽11.69/M | ₽292 |
| Ministral 8b | Ministral 8b | ₽11.69/M | ₽11.69/M | ₽292 |
| mistral nemo | mistral nemo | ₽11.69/M | ₽11.69/M | ₽292 |
| Pixtral 12B 2409 | mistral | ₽11.69/M | ₽11.69/M | ₽292 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.80/M | ₽31.18/M | ₽312 |
| gemini embedding 2 | gemini embedding 2 | ₽15.59/M | ₽15.59/M | ₽312 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| Qwen3.5 Flash | qwen3.5 flash | ₽7.80/M | ₽31.18/M | ₽312 |
| llama 3.2 11b vision:free | meta llama | ₽12.47/M | ₽12.47/M | ₽312 |
| deepseek v4 flash | deepseek | ₽10.91/M | ₽21.83/M | ₽327 |
| mimo v2.5 | mimo v2.5 | ₽10.91/M | ₽21.83/M | ₽327 |
| gpt oss 120b | openai | ₽7.80/M | ₽38.98/M | ₽351 |
| gemma 4 31b it | ₽10.91/M | ₽31.18/M | ₽374 | |
| qwen3 30b a3b | qwen | ₽9.35/M | ₽38.98/M | ₽382 |
| Ministral 14B | mistral | ₽15.59/M | ₽15.59/M | ₽390 |
| Llama 3.1 8B | llama 3.1 8b | ₽17.15/M | ₽17.15/M | ₽429 |
| gemma 4 26b a4b it | ₽11.69/M | ₽46.77/M | ₽468 | |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽11.69/M | ₽46.77/M | ₽468 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽11.69/M | ₽46.77/M | ₽468 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽11.69/M | ₽50.67/M | ₽487 |
| Qwen 3 32B | qwen 3 32b | ₽12.47/M | ₽49.89/M | ₽499 |
| xai · grok-4-1-fast-non-reasoning | xai | ₽15.59/M | ₽38.98/M | ₽507 |
| xai · grok-4-1-fast-reasoning | xai | ₽15.59/M | ₽38.98/M | ₽507 |
| Llama 4 Scout | llama 4 scout | ₽13.25/M | ₽51.45/M | ₽522 |
| nemotron nano 12b v2 vl | nvidia | ₽15.59/M | ₽46.77/M | ₽546 |
| deepseek v3.2 | deepseek | ₽21.83/M | ₽32.74/M | ₽600 |
| Mercury 2 | Inception | ₽19.49/M | ₽58.47/M | ₽682 |
| qwen3 235b a22b | qwen | ₽17.15/M | ₽68.60/M | ₽686 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.69/M | ₽93.55/M | ₽702 |
| glm 4.5 air | z ai | ₽15.59/M | ₽85.75/M | ₽741 |
| Trinity Large Preview | Arcee AI | ₽19.49/M | ₽70.16/M | ₽741 |
| Llama 4 Maverick | llama 4 maverick | ₽18.71/M | ₽75.62/M | ₽752 |
| Step 3.7 Flash | step 3.7 flash | ₽15.59/M | ₽89.65/M | ₽760 |
| DeepSeek-V3.1 | deepseek v3 1 | ₽19.49/M | ₽74.06/M | ₽760 |
| Mercury Coder Small Beta | inception | ₽19.49/M | ₽77.96/M | ₽780 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| deepseek v3.1 terminus | deepseek | ₽21.05/M | ₽77.96/M | ₽811 |
| glm 4.6v | z ai | ₽23.39/M | ₽70.16/M | ₽819 |
| Mistral Codestral | mistral | ₽23.39/M | ₽70.16/M | ₽819 |
| DeepSeek V3 | deepseek search | ₽21.05/M | ₽87.31/M | ₽858 |
| Claude 3 Haiku | Anthropic | ₽19.49/M | ₽97.45/M | ₽877 |
| KAT-Coder-Pro V1 | kwaipilot | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.1 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.5 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.7 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| gemini 3.1 flash lite image | ₽19.49/M | ₽117/M | ₽974 | |
| deepseek v4 pro | deepseek | ₽33.91/M | ₽67.82/M | ₽1 017 |
| mimo v2.5 pro | mimo v2.5 pro | ₽33.91/M | ₽67.82/M | ₽1 017 |
| gpt 5.1 codex mini | openai | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed 1.6 | bytedance | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed-1.8 | ByteDance | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3.7 plus | qwen | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 coder next | qwen | ₽38.98/M | ₽93.55/M | ₽1 247 |
| gpt 3.5 turbo | openai | ₽38.98/M | ₽117/M | ₽1 364 |
| Magistral Small 2509 | mistral | ₽38.98/M | ₽117/M | ₽1 364 |
| Mistral Large 3 | mistral large 3 | ₽38.98/M | ₽117/M | ₽1 364 |
| Devstral 2 | mistral | ₽31.18/M | ₽156/M | ₽1 403 |
| llama 3.1 70b | llama 3.1 70b | ₽56.13/M | ₽56.13/M | ₽1 403 |
| Llama 3.2 90B Vision Instruct | meta | ₽56.13/M | ₽56.13/M | ₽1 403 |
| Llama 3.3 70B | llama 3.3 70b | ₽56.13/M | ₽56.13/M | ₽1 403 |
| Mistral Medium | mistral medium | ₽31.18/M | ₽156/M | ₽1 403 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽23.39/M | ₽187/M | ₽1 403 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| gemini 2.5 flash image | ₽23.39/M | ₽195/M | ₽1 442 | |
| Nova 2 Lite | amazon | ₽23.39/M | ₽195/M | ₽1 442 |
| Kimi K2 | kimi k2 | ₽36.64/M | ₽156/M | ₽1 512 |
| qwen3.5 plus | qwen3.5 plus | ₽31.18/M | ₽187/M | ₽1 559 |
| glm 4.5v | z ai | ₽46.77/M | ₽140/M | ₽1 637 |
| morph · morph-v3-fast | morph | ₽62.37/M | ₽93.55/M | ₽1 715 |
| glm 4.5 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| glm 4.6 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| glm 4.7 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| gpt realtime mini | gpt realtime mini | ₽46.77/M | ₽187/M | ₽1 871 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽46.77/M | ₽187/M | ₽1 871 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽46.77/M | ₽187/M | ₽1 871 |
| Nemotron 3 Ultra | NVIDIA | ₽46.77/M | ₽187/M | ₽1 871 |
| Gemini 3 Flash | gemini 3 flash | ₽38.98/M | ₽234/M | ₽1 949 |
| gemini 3.1 flash image | ₽38.98/M | ₽234/M | ₽1 949 | |
| qwen3.6 plus | qwen | ₽38.98/M | ₽234/M | ₽1 949 |
| Kimi K2.5 | kimi k2.5 | ₽46.77/M | ₽234/M | ₽2 105 |
| morph · morph-v3-large | morph | ₽70.16/M | ₽148/M | ₽2 144 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽57.69/M | ₽231/M | ₽2 308 |
| qwen3.6 27b | qwen | ₽46.77/M | ₽281/M | ₽2 339 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| Nova Pro | amazon | ₽62.37/M | ₽249/M | ₽2 495 |
| GLM-5 | glm 5 | ₽74.06/M | ₽246/M | ₽2 709 |
| gpt 5.4 mini | openai | ₽58.47/M | ₽351/M | ₽2 923 |
| grok 4.20 multi agent | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Multi Agent Beta | xai | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Non-Reasoning | xai | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Reasoning | xai | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.3 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| kimi k2.6 | moonshotai | ₽74.06/M | ₽312/M | ₽3 040 |
| kimi k2.7 code | moonshotai | ₽74.06/M | ₽312/M | ₽3 040 |
| qwen3.7 max | qwen | ₽97.45/M | ₽292/M | ₽3 411 |
| glm 5 turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| glm 5v turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| O3 Mini | o3 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽77.96/M | ₽390/M | ₽3 508 |
| qwen3 coder plus | qwen | ₽77.96/M | ₽390/M | ₽3 508 |
| Muse Spark 1.1 | muse spark 1.1 | ₽97.45/M | ₽331/M | ₽3 606 |
| glm 5.1 | z ai | ₽101/M | ₽335/M | ₽3 703 |
| Interfaze Beta | interfaze | ₽117/M | ₽273/M | ₽3 703 |
| gpt 5.6 luna | openai | ₽77.96/M | ₽468/M | ₽3 898 |
| glm 5.2 | z ai | ₽109/M | ₽343/M | ₽3 898 |
| GPT-4o Mini Transcribe | openai | ₽97.45/M | ₽390/M | ₽3 898 |
| DeepSeek R1 | deepseek r1 | ₽105/M | ₽421/M | ₽4 210 |
| Qwen3 Max | qwen3 max | ₽93.55/M | ₽468/M | ₽4 210 |
| Magistral Medium 2509 | mistral | ₽156/M | ₽390/M | ₽5 067 |
| Qwen 3.6 Max Preview | alibaba | ₽101/M | ₽608/M | ₽5 067 |
| Mistral Medium 3.5 | Mistral Medium 3.5 | ₽117/M | ₽585/M | ₽5 262 |
| qwen3 coder | qwen | ₽117/M | ₽585/M | ₽5 262 |
| xai · grok-4.5 | xai | ₽156/M | ₽468/M | ₽5 457 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| Gemini Omni Flash | ₽117/M | ₽702/M | ₽5 847 | |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex max | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT 5.1 Instant | GPT 5.1 Instant | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| zai · glm-5.2 | zai | ₽164/M | ₽515/M | ₽5 847 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽148/M | ₽624/M | ₽6 081 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| gpt image 1 mini | openai | ₽156/M | ₽624/M | ₽6 237 |
| O3 | o3 | ₽156/M | ₽624/M | ₽6 237 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| Gemini 3 Pro | gemini 3 pro | ₽156/M | ₽935/M | ₽7 796 |
| gemini 3 pro image | ₽156/M | ₽935/M | ₽7 796 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| Cohere Command A | cohere command a | ₽195/M | ₽780/M | ₽7 796 |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| GPT-4o Transcribe | openai | ₽195/M | ₽780/M | ₽7 796 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.4 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| gpt 5.6 terra | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| Claude Sonnet 4 | claude sonnet 4 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| gpt realtime 1.5 | gpt realtime 1.5 | ₽312/M | ₽1 247/M | ₽12 473 |
| gpt realtime 2 | gpt realtime 2 | ₽312/M | ₽1 871/M | ₽15 591 |
| gpt-realtime-2.1 | openai | ₽312/M | ₽1 871/M | ₽15 591 |
| Claude Opus 4.5 | claude opus 4 5 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.6 | claude opus 4 6 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.7 | claude opus 4 7 | ₽390/M | ₽1 949/M | ₽17 540 |
| claude opus 4.8 | anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| Fugu Ultra | sakana | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.5 | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.6 sol | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt image 2 | gpt image 2 | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt image 1.5 | openai | ₽390/M | ₽2 495/M | ₽20 269 |
| gpt image 1 | openai | ₽390/M | ₽3 118/M | ₽23 387 |
| Grok TTS | xai | ₽1 169/M | ₽1 169/M | ₽23 387 |
| tts 1 | openai | ₽1 169/M | ₽1 169/M | ₽23 387 |
| gpt 4 turbo | openai | ₽780/M | ₽2 339/M | ₽27 285 |
| o3 deep research | openai | ₽780/M | ₽3 118/M | ₽31 183 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| O1 | o1 | ₽1 169/M | ₽4 677/M | ₽46 774 |
| tts 1 hd | openai | ₽2 339/M | ₽2 339/M | ₽46 774 |
| Claude Opus 4 | claude opus 4 | ₽1 169/M | ₽5 847/M | ₽52 621 |
| o3 pro | openai | ₽1 559/M | ₽6 237/M | ₽62 365 |
| gpt 5 pro | openai | ₽1 169/M | ₽9 355/M | ₽70 161 |
| gpt 5.2 pro | openai | ₽1 637/M | ₽13 097/M | ₽98 226 |
| gpt 5.4 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| gpt 5.5 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
Текст и чат
оплата за токены · 222
▼
Текст и чат
оплата за токены · 222
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| whisper 1 | openai | ₽0.0078/M | ₽0.0078/M | ₽0 |
| Seedream 5.0 Pro | bytedance | ₽0.23/M | ₽0.23/M | ₽5 |
| qwen3-embedding-0.6b | qwen | ₽0.78/M | ₽0.78/M | ₽16 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.56/M | ₽1.56/M | ₽31 |
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽31 |
| Titan Text Embeddings V2 | amazon | ₽1.56/M | ₽1.56/M | ₽31 |
| Voyage 3.5 Lite | voyage | ₽1.56/M | ₽1.56/M | ₽31 |
| Voyage 4 Lite | voyage | ₽1.56/M | ₽1.56/M | ₽31 |
| Voyage Rerank 2.5 Lite | voyage | ₽1.56/M | ₽1.56/M | ₽31 |
| Text Embedding 005 | text embedding 005 | ₽1.95/M | ₽1.95/M | ₽39 |
| Text multilingual embedding 002 | ₽1.95/M | ₽1.95/M | ₽39 | |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽3.90/M | ₽3.90/M | ₽78 |
| Voyage Rerank 2.5 | voyage | ₽3.90/M | ₽3.90/M | ₽78 |
| Voyage 3.5 | voyage | ₽4.68/M | ₽4.68/M | ₽94 |
| Voyage 4 | voyage | ₽4.68/M | ₽4.68/M | ₽94 |
| Nova Micro | amazon | ₽2.73/M | ₽10.91/M | ₽109 |
| trinity-mini | arcee ai | ₽3.51/M | ₽11.69/M | ₽129 |
| gpt oss 20b | openai | ₽3.90/M | ₽15.59/M | ₽156 |
| Mistral Embed | mistral embed | ₽7.80/M | ₽7.80/M | ₽156 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽156 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽3.90/M | ₽18.71/M | ₽172 |
| Nemotron Nano 9B V2 | NVIDIA | ₽4.68/M | ₽17.93/M | ₽183 |
| Nova Lite | amazon | ₽4.68/M | ₽18.71/M | ₽187 |
| Embed v4.0 | cohere | ₽9.35/M | ₽9.35/M | ₽187 |
| Voyage 4 Large | voyage | ₽9.35/M | ₽9.35/M | ₽187 |
| Voyage Code 2 | voyage | ₽9.35/M | ₽9.35/M | ₽187 |
| Voyage Finance 2 | voyage | ₽9.35/M | ₽9.35/M | ₽187 |
| Voyage Law 2 | voyage | ₽9.35/M | ₽9.35/M | ₽187 |
| Llama 3.2 1B Preview | meta llama | ₽7.80/M | ₽7.80/M | ₽195 |
| Ministral 3b | Ministral 3b | ₽7.80/M | ₽7.80/M | ₽195 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽203 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| Codestral Embed | mistral | ₽11.69/M | ₽11.69/M | ₽234 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽11.69/M | ₽11.69/M | ₽234 |
| gpt oss safeguard 20b | openai | ₽5.85/M | ₽23.39/M | ₽234 |
| GLM 4.7 FlashX | zai | ₽4.68/M | ₽31.18/M | ₽249 |
| Step 3.5 Flash | step 3.5 flash | ₽7.02/M | ₽23.39/M | ₽257 |
| glm 4.7 flash | z ai | ₽5.46/M | ₽31.18/M | ₽265 |
| Devstral Small 2 | mistral | ₽7.80/M | ₽23.39/M | ₽273 |
| Mistral Small | Mistral Small | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3 14b | qwen | ₽9.35/M | ₽18.71/M | ₽281 |
| Voyage Code 3 | voyage | ₽14.03/M | ₽14.03/M | ₽281 |
| voyage-3-large | voyage | ₽14.03/M | ₽14.03/M | ₽281 |
| Llama 3.2 3B | llama 3.2 3b | ₽11.69/M | ₽11.69/M | ₽292 |
| Ministral 8b | Ministral 8b | ₽11.69/M | ₽11.69/M | ₽292 |
| mistral nemo | mistral nemo | ₽11.69/M | ₽11.69/M | ₽292 |
| Pixtral 12B 2409 | mistral | ₽11.69/M | ₽11.69/M | ₽292 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.80/M | ₽31.18/M | ₽312 |
| gemini embedding 2 | gemini embedding 2 | ₽15.59/M | ₽15.59/M | ₽312 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| Qwen3.5 Flash | qwen3.5 flash | ₽7.80/M | ₽31.18/M | ₽312 |
| llama 3.2 11b vision:free | meta llama | ₽12.47/M | ₽12.47/M | ₽312 |
| deepseek v4 flash | deepseek | ₽10.91/M | ₽21.83/M | ₽327 |
| mimo v2.5 | mimo v2.5 | ₽10.91/M | ₽21.83/M | ₽327 |
| gpt oss 120b | openai | ₽7.80/M | ₽38.98/M | ₽351 |
| gemma 4 31b it | ₽10.91/M | ₽31.18/M | ₽374 | |
| qwen3 30b a3b | qwen | ₽9.35/M | ₽38.98/M | ₽382 |
| Ministral 14B | mistral | ₽15.59/M | ₽15.59/M | ₽390 |
| Llama 3.1 8B | llama 3.1 8b | ₽17.15/M | ₽17.15/M | ₽429 |
| gemma 4 26b a4b it | ₽11.69/M | ₽46.77/M | ₽468 | |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽11.69/M | ₽46.77/M | ₽468 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽11.69/M | ₽46.77/M | ₽468 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽11.69/M | ₽50.67/M | ₽487 |
| Qwen 3 32B | qwen 3 32b | ₽12.47/M | ₽49.89/M | ₽499 |
| xai · grok-4-1-fast-non-reasoning | xai | ₽15.59/M | ₽38.98/M | ₽507 |
| xai · grok-4-1-fast-reasoning | xai | ₽15.59/M | ₽38.98/M | ₽507 |
| Llama 4 Scout | llama 4 scout | ₽13.25/M | ₽51.45/M | ₽522 |
| nemotron nano 12b v2 vl | nvidia | ₽15.59/M | ₽46.77/M | ₽546 |
| deepseek v3.2 | deepseek | ₽21.83/M | ₽32.74/M | ₽600 |
| Mercury 2 | Inception | ₽19.49/M | ₽58.47/M | ₽682 |
| qwen3 235b a22b | qwen | ₽17.15/M | ₽68.60/M | ₽686 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.69/M | ₽93.55/M | ₽702 |
| glm 4.5 air | z ai | ₽15.59/M | ₽85.75/M | ₽741 |
| Trinity Large Preview | Arcee AI | ₽19.49/M | ₽70.16/M | ₽741 |
| Llama 4 Maverick | llama 4 maverick | ₽18.71/M | ₽75.62/M | ₽752 |
| Step 3.7 Flash | step 3.7 flash | ₽15.59/M | ₽89.65/M | ₽760 |
| DeepSeek-V3.1 | deepseek v3 1 | ₽19.49/M | ₽74.06/M | ₽760 |
| Mercury Coder Small Beta | inception | ₽19.49/M | ₽77.96/M | ₽780 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| deepseek v3.1 terminus | deepseek | ₽21.05/M | ₽77.96/M | ₽811 |
| glm 4.6v | z ai | ₽23.39/M | ₽70.16/M | ₽819 |
| Mistral Codestral | mistral | ₽23.39/M | ₽70.16/M | ₽819 |
| DeepSeek V3 | deepseek search | ₽21.05/M | ₽87.31/M | ₽858 |
| Claude 3 Haiku | Anthropic | ₽19.49/M | ₽97.45/M | ₽877 |
| KAT-Coder-Pro V1 | kwaipilot | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.1 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.5 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.7 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| gemini 3.1 flash lite image | ₽19.49/M | ₽117/M | ₽974 | |
| deepseek v4 pro | deepseek | ₽33.91/M | ₽67.82/M | ₽1 017 |
| mimo v2.5 pro | mimo v2.5 pro | ₽33.91/M | ₽67.82/M | ₽1 017 |
| gpt 5.1 codex mini | openai | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed 1.6 | bytedance | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed-1.8 | ByteDance | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3.7 plus | qwen | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 coder next | qwen | ₽38.98/M | ₽93.55/M | ₽1 247 |
| gpt 3.5 turbo | openai | ₽38.98/M | ₽117/M | ₽1 364 |
| Magistral Small 2509 | mistral | ₽38.98/M | ₽117/M | ₽1 364 |
| Mistral Large 3 | mistral large 3 | ₽38.98/M | ₽117/M | ₽1 364 |
| Devstral 2 | mistral | ₽31.18/M | ₽156/M | ₽1 403 |
| llama 3.1 70b | llama 3.1 70b | ₽56.13/M | ₽56.13/M | ₽1 403 |
| Llama 3.2 90B Vision Instruct | meta | ₽56.13/M | ₽56.13/M | ₽1 403 |
| Llama 3.3 70B | llama 3.3 70b | ₽56.13/M | ₽56.13/M | ₽1 403 |
| Mistral Medium | mistral medium | ₽31.18/M | ₽156/M | ₽1 403 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽23.39/M | ₽187/M | ₽1 403 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| gemini 2.5 flash image | ₽23.39/M | ₽195/M | ₽1 442 | |
| Nova 2 Lite | amazon | ₽23.39/M | ₽195/M | ₽1 442 |
| Kimi K2 | kimi k2 | ₽36.64/M | ₽156/M | ₽1 512 |
| qwen3.5 plus | qwen3.5 plus | ₽31.18/M | ₽187/M | ₽1 559 |
| glm 4.5v | z ai | ₽46.77/M | ₽140/M | ₽1 637 |
| morph · morph-v3-fast | morph | ₽62.37/M | ₽93.55/M | ₽1 715 |
| glm 4.5 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| glm 4.6 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| glm 4.7 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| gpt realtime mini | gpt realtime mini | ₽46.77/M | ₽187/M | ₽1 871 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽46.77/M | ₽187/M | ₽1 871 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽46.77/M | ₽187/M | ₽1 871 |
| Nemotron 3 Ultra | NVIDIA | ₽46.77/M | ₽187/M | ₽1 871 |
| Gemini 3 Flash | gemini 3 flash | ₽38.98/M | ₽234/M | ₽1 949 |
| gemini 3.1 flash image | ₽38.98/M | ₽234/M | ₽1 949 | |
| qwen3.6 plus | qwen | ₽38.98/M | ₽234/M | ₽1 949 |
| Kimi K2.5 | kimi k2.5 | ₽46.77/M | ₽234/M | ₽2 105 |
| morph · morph-v3-large | morph | ₽70.16/M | ₽148/M | ₽2 144 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽57.69/M | ₽231/M | ₽2 308 |
| qwen3.6 27b | qwen | ₽46.77/M | ₽281/M | ₽2 339 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| Nova Pro | amazon | ₽62.37/M | ₽249/M | ₽2 495 |
| GLM-5 | glm 5 | ₽74.06/M | ₽246/M | ₽2 709 |
| gpt 5.4 mini | openai | ₽58.47/M | ₽351/M | ₽2 923 |
| grok 4.20 multi agent | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Multi Agent Beta | xai | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Non-Reasoning | xai | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Reasoning | xai | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.3 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| kimi k2.6 | moonshotai | ₽74.06/M | ₽312/M | ₽3 040 |
| kimi k2.7 code | moonshotai | ₽74.06/M | ₽312/M | ₽3 040 |
| qwen3.7 max | qwen | ₽97.45/M | ₽292/M | ₽3 411 |
| glm 5 turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| glm 5v turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| O3 Mini | o3 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽77.96/M | ₽390/M | ₽3 508 |
| qwen3 coder plus | qwen | ₽77.96/M | ₽390/M | ₽3 508 |
| Muse Spark 1.1 | muse spark 1.1 | ₽97.45/M | ₽331/M | ₽3 606 |
| glm 5.1 | z ai | ₽101/M | ₽335/M | ₽3 703 |
| Interfaze Beta | interfaze | ₽117/M | ₽273/M | ₽3 703 |
| gpt 5.6 luna | openai | ₽77.96/M | ₽468/M | ₽3 898 |
| glm 5.2 | z ai | ₽109/M | ₽343/M | ₽3 898 |
| GPT-4o Mini Transcribe | openai | ₽97.45/M | ₽390/M | ₽3 898 |
| DeepSeek R1 | deepseek r1 | ₽105/M | ₽421/M | ₽4 210 |
| Qwen3 Max | qwen3 max | ₽93.55/M | ₽468/M | ₽4 210 |
| Magistral Medium 2509 | mistral | ₽156/M | ₽390/M | ₽5 067 |
| Qwen 3.6 Max Preview | alibaba | ₽101/M | ₽608/M | ₽5 067 |
| Mistral Medium 3.5 | Mistral Medium 3.5 | ₽117/M | ₽585/M | ₽5 262 |
| qwen3 coder | qwen | ₽117/M | ₽585/M | ₽5 262 |
| xai · grok-4.5 | xai | ₽156/M | ₽468/M | ₽5 457 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| Gemini Omni Flash | ₽117/M | ₽702/M | ₽5 847 | |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex max | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT 5.1 Instant | GPT 5.1 Instant | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| zai · glm-5.2 | zai | ₽164/M | ₽515/M | ₽5 847 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽148/M | ₽624/M | ₽6 081 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| gpt image 1 mini | openai | ₽156/M | ₽624/M | ₽6 237 |
| O3 | o3 | ₽156/M | ₽624/M | ₽6 237 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| Gemini 3 Pro | gemini 3 pro | ₽156/M | ₽935/M | ₽7 796 |
| gemini 3 pro image | ₽156/M | ₽935/M | ₽7 796 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| Cohere Command A | cohere command a | ₽195/M | ₽780/M | ₽7 796 |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| GPT-4o Transcribe | openai | ₽195/M | ₽780/M | ₽7 796 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.4 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| gpt 5.6 terra | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| Claude Sonnet 4 | claude sonnet 4 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| gpt realtime 1.5 | gpt realtime 1.5 | ₽312/M | ₽1 247/M | ₽12 473 |
| gpt realtime 2 | gpt realtime 2 | ₽312/M | ₽1 871/M | ₽15 591 |
| gpt-realtime-2.1 | openai | ₽312/M | ₽1 871/M | ₽15 591 |
| Claude Opus 4.5 | claude opus 4 5 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.6 | claude opus 4 6 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.7 | claude opus 4 7 | ₽390/M | ₽1 949/M | ₽17 540 |
| claude opus 4.8 | anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| Fugu Ultra | sakana | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.5 | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.6 sol | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt image 2 | gpt image 2 | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt image 1.5 | openai | ₽390/M | ₽2 495/M | ₽20 269 |
| gpt image 1 | openai | ₽390/M | ₽3 118/M | ₽23 387 |
| Grok TTS | xai | ₽1 169/M | ₽1 169/M | ₽23 387 |
| tts 1 | openai | ₽1 169/M | ₽1 169/M | ₽23 387 |
| gpt 4 turbo | openai | ₽780/M | ₽2 339/M | ₽27 285 |
| o3 deep research | openai | ₽780/M | ₽3 118/M | ₽31 183 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| O1 | o1 | ₽1 169/M | ₽4 677/M | ₽46 774 |
| tts 1 hd | openai | ₽2 339/M | ₽2 339/M | ₽46 774 |
| Claude Opus 4 | claude opus 4 | ₽1 169/M | ₽5 847/M | ₽52 621 |
| o3 pro | openai | ₽1 559/M | ₽6 237/M | ₽62 365 |
| gpt 5 pro | openai | ₽1 169/M | ₽9 355/M | ₽70 161 |
| gpt 5.2 pro | openai | ₽1 637/M | ₽13 097/M | ₽98 226 |
| gpt 5.4 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| gpt 5.5 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
О провайдере
О сервисе
Vercel AI Gateway — cloud control plane для AI apps на Vercel: один ключ, hundreds of models at provider list price. Конкурирует с OpenRouter и Requesty нулевой наценкой. Идеален для Vercel-deployed apps и AI SDK users. На AI-APISHKA — $/1M из pricing.input/output (per-token strings × 1M).
Как сравнивать на AI-APISHKA
Часто самый дешёвый gateway при одинаковой модели — 0% markup. Сравнивайте с OpenRouter (+~5%) и Requesty (+~5%). Без Vercel account — только API catalog comparison, billing через Vercel.
Частые вопросы
- Vercel AI Gateway — бесплатный?
- $5/month free credits на AI Gateway plan. Дальше — pay-as-you-go по provider list price без markup.
- Нужен ли Vercel проект?
- Для API key и billing — да, Vercel account. Catalog /v1/models публичен без авторизации.
- Чем отличается от OpenRouter?
- 0% markup vs ~5% у OpenRouter. Меньше моделей, но те же list prices. Лучше интеграция с Vercel AI SDK.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
Vercel AI Gateway предлагает 222 моделей AI API. Средняя цена — ₽256/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.0078/M (whisper 1).
Сравните цены на whisper 1 , Seedream 5.0 Pro , qwen3-embedding-0.6b , Qwen3 Embedding 4B и text embedding 3 small у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.