84 LLM-модели — pay-per-call API без подписки
- Моделей
- 85
- Средняя цена
- ₽539/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Credits (предоплата)
- Биллинг
- за токены
- API
- OpenAI-compatible
На листинге /ai-api — только input $/M; output — на detail pages (FAQ JSON-LD) · LLM — часть broader API (SEO, scrape, media) · GET /v1/ai/models — 401 без x-api-key
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
85 моделей
Текст и чат
оплата за токены · 85
▼
Текст и чат
оплата за токены · 85
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gpt oss 120b | openai | ₽3.90/M | ₽21.05/M | ₽183 |
| qwen3.5 9b | qwen | ₽5.46/M | ₽16.37/M | ₽191 |
| Qwen3.5 Flash | qwen3.5 flash | ₽7.02/M | ₽28.06/M | ₽281 |
| Seed 1.6 Flash | ByteDance Seed | ₽7.80/M | ₽32.74/M | ₽320 |
| mimo v2 flash | xiaomi | ₽10.13/M | ₽31.96/M | ₽362 |
| Mistral Small Creative | mistralai | ₽10.91/M | ₽32.74/M | ₽382 |
| Step 3.5 Flash | step 3.5 flash | ₽10.91/M | ₽32.74/M | ₽382 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽10.91/M | ₽43.66/M | ₽437 |
| Seed-2.0-Mini | ByteDance Seed | ₽10.91/M | ₽43.66/M | ₽437 |
| Gemini Image Analysis | ₽21.83/M | ₽21.83/M | ₽437 | |
| Gemini Video Analysis | ₽21.83/M | ₽21.83/M | ₽437 | |
| gemma 4 26b a4b it | ₽14.03/M | ₽43.66/M | ₽499 | |
| gemma 4 31b it | ₽15.59/M | ₽43.66/M | ₽530 | |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽16.37/M | ₽65.48/M | ₽655 |
| GPT-4o Mini | gpt 4o mini | ₽16.37/M | ₽65.48/M | ₽655 |
| Llama 4 Maverick | llama 4 maverick | ₽16.37/M | ₽65.48/M | ₽655 |
| Llama 4 Scout | llama 4 scout | ₽16.37/M | ₽65.48/M | ₽655 |
| Mistral Small 4 | Mistral | ₽16.37/M | ₽65.48/M | ₽655 |
| deepseek v4 flash | deepseek | ₽21.83/M | ₽43.66/M | ₽655 |
| qwen3 coder next | qwen | ₽13.25/M | ₽81.85/M | ₽674 |
| grok 4.1 | grok 4.1 | ₽21.83/M | ₽54.57/M | ₽709 |
| deepseek v3.2 | deepseek | ₽28.06/M | ₽41.32/M | ₽768 |
| minimax m2.5 | minimax | ₽13.25/M | ₽108/M | ₽807 |
| qwen3.5 35b a3b | qwen | ₽17.93/M | ₽142/M | ₽1 068 |
| gpt 5.4 nano | openai | ₽21.83/M | ₽136/M | ₽1 119 |
| DeepSeek Chat (V3) | deepseek chat | ₽29.62/M | ₽120/M | ₽1 193 |
| qwen3.5 27b | qwen | ₽21.05/M | ₽170/M | ₽1 271 |
| minimax m2.7 | minimax | ₽32.74/M | ₽131/M | ₽1 310 |
| minimax m3 | minimax | ₽32.74/M | ₽131/M | ₽1 310 |
| gemini 3.1 flash lite | ₽27.28/M | ₽164/M | ₽1 364 | |
| qwen3.5 plus | qwen3.5 plus | ₽28.06/M | ₽170/M | ₽1 411 |
| Seed 1.6 | ByteDance Seed | ₽27.28/M | ₽218/M | ₽1 637 |
| Seed-2.0-Lite | ByteDance Seed | ₽27.28/M | ₽218/M | ₽1 637 |
| qwen3.5 122b a10b | qwen | ₽28.06/M | ₽227/M | ₽1 696 |
| qwen3.6 plus | qwen | ₽35.08/M | ₽213/M | ₽1 766 |
| Kimi K2.5 | kimi k2.5 | ₽42.10/M | ₽188/M | ₽1 781 |
| mimo v2 omni | mimo v2 omni | ₽43.66/M | ₽218/M | ₽1 965 |
| mistralai · devstral-2512 | mistralai | ₽43.66/M | ₽218/M | ₽1 965 |
| deepseek v4 pro | deepseek | ₽66.26/M | ₽133/M | ₽1 992 |
| qwen3.5 397b a17b | qwen | ₽42.88/M | ₽256/M | ₽2 136 |
| Nano Banana 3 Flash (preview) | nano banana 3 flash | ₽109/M | ₽109/M | ₽2 183 |
| DeepSeek R1 | deepseek r1 | ₽60.03/M | ₽239/M | ₽2 397 |
| gpt audio mini | openai | ₽65.48/M | ₽262/M | ₽2 619 |
| Gemini 3 Flash | gemini 3 flash | ₽54.57/M | ₽327/M | ₽2 728 |
| Sonar | perplexity | ₽109/M | ₽109/M | ₽2 728 |
| GLM-5 | glm 5 | ₽78.74/M | ₽251/M | ₽2 830 |
| kimi k2.7 code | moonshotai | ₽81.08/M | ₽382/M | ₽3 531 |
| mimo v2 pro | mimo v2 pro | ₽109/M | ₽327/M | ₽3 820 |
| Qwen3 Max | qwen3 max | ₽84.97/M | ₽426/M | ₽3 828 |
| Claude Haiku 4 | claude haiku 4 | ₽87.31/M | ₽437/M | ₽3 929 |
| gpt 5.4 mini | openai | ₽81.85/M | ₽491/M | ₽4 093 |
| grok 4.3 | x ai | ₽136/M | ₽273/M | ₽4 093 |
| qwen3.7 max | qwen | ₽136/M | ₽409/M | ₽4 775 |
| glm 5 turbo | z ai | ₽131/M | ₽437/M | ₽4 802 |
| glm 5.1 | z ai | ₽137/M | ₽432/M | ₽4 903 |
| glm 5.2 | z ai | ₽153/M | ₽480/M | ₽5 457 |
| mistralai · mistral-medium-3-5 | mistralai | ₽164/M | ₽819/M | ₽7 367 |
| grok 4.20 | x ai | ₽218/M | ₽655/M | ₽7 640 |
| grok 4.20 multi agent | x ai | ₽218/M | ₽655/M | ₽7 640 |
| gemini 3.5 flash | ₽164/M | ₽982/M | ₽8 185 | |
| gpt 5.1 codex max | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| Nano Banana 3 Pro | ₽437/M | ₽437/M | ₽8 731 | |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽273/M | ₽1 091/M | ₽10 914 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽218/M | ₽1 310/M | ₽10 914 |
| gpt audio | openai | ₽273/M | ₽1 091/M | ₽10 914 |
| GPT-4o | gpt 4o | ₽273/M | ₽1 091/M | ₽10 914 |
| gpt 5.2 | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.2 chat | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.2 codex | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.3 chat | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.3 codex | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.4 | openai | ₽273/M | ₽1 637/M | ₽13 642 |
| Claude Sonnet 4 | claude sonnet 4 | ₽327/M | ₽1 637/M | ₽14 734 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽327/M | ₽1 637/M | ₽14 734 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽327/M | ₽1 637/M | ₽14 734 |
| sonar pro | perplexity | ₽327/M | ₽1 637/M | ₽14 734 |
| Seedance 2.0 | bytedance seed | ₽1 222/M | ₽1 222/M | ₽24 447 |
| Claude Opus 4.6 | claude opus 4 6 | ₽546/M | ₽2 728/M | ₽24 556 |
| Claude Opus 4.7 | claude opus 4 7 | ₽546/M | ₽2 728/M | ₽24 556 |
| claude opus 4.8 | anthropic | ₽546/M | ₽2 728/M | ₽24 556 |
| gpt 5.5 | openai | ₽546/M | ₽3 274/M | ₽27 285 |
| claude fable 5 | anthropic | ₽1 091/M | ₽5 457/M | ₽49 113 |
| gpt 5.2 pro | openai | ₽2 292/M | ₽18 335/M | ₽137 516 |
| gpt 5.4 pro | openai | ₽3 274/M | ₽19 645/M | ₽163 709 |
| gpt 5.5 pro | openai | ₽3 274/M | ₽19 645/M | ₽163 709 |
Текст и чат
оплата за токены · 85
▼
Текст и чат
оплата за токены · 85
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gpt oss 120b | openai | ₽3.90/M | ₽21.05/M | ₽183 |
| qwen3.5 9b | qwen | ₽5.46/M | ₽16.37/M | ₽191 |
| Qwen3.5 Flash | qwen3.5 flash | ₽7.02/M | ₽28.06/M | ₽281 |
| Seed 1.6 Flash | ByteDance Seed | ₽7.80/M | ₽32.74/M | ₽320 |
| mimo v2 flash | xiaomi | ₽10.13/M | ₽31.96/M | ₽362 |
| Mistral Small Creative | mistralai | ₽10.91/M | ₽32.74/M | ₽382 |
| Step 3.5 Flash | step 3.5 flash | ₽10.91/M | ₽32.74/M | ₽382 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽10.91/M | ₽43.66/M | ₽437 |
| Seed-2.0-Mini | ByteDance Seed | ₽10.91/M | ₽43.66/M | ₽437 |
| Gemini Image Analysis | ₽21.83/M | ₽21.83/M | ₽437 | |
| Gemini Video Analysis | ₽21.83/M | ₽21.83/M | ₽437 | |
| gemma 4 26b a4b it | ₽14.03/M | ₽43.66/M | ₽499 | |
| gemma 4 31b it | ₽15.59/M | ₽43.66/M | ₽530 | |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽16.37/M | ₽65.48/M | ₽655 |
| GPT-4o Mini | gpt 4o mini | ₽16.37/M | ₽65.48/M | ₽655 |
| Llama 4 Maverick | llama 4 maverick | ₽16.37/M | ₽65.48/M | ₽655 |
| Llama 4 Scout | llama 4 scout | ₽16.37/M | ₽65.48/M | ₽655 |
| Mistral Small 4 | Mistral | ₽16.37/M | ₽65.48/M | ₽655 |
| deepseek v4 flash | deepseek | ₽21.83/M | ₽43.66/M | ₽655 |
| qwen3 coder next | qwen | ₽13.25/M | ₽81.85/M | ₽674 |
| grok 4.1 | grok 4.1 | ₽21.83/M | ₽54.57/M | ₽709 |
| deepseek v3.2 | deepseek | ₽28.06/M | ₽41.32/M | ₽768 |
| minimax m2.5 | minimax | ₽13.25/M | ₽108/M | ₽807 |
| qwen3.5 35b a3b | qwen | ₽17.93/M | ₽142/M | ₽1 068 |
| gpt 5.4 nano | openai | ₽21.83/M | ₽136/M | ₽1 119 |
| DeepSeek Chat (V3) | deepseek chat | ₽29.62/M | ₽120/M | ₽1 193 |
| qwen3.5 27b | qwen | ₽21.05/M | ₽170/M | ₽1 271 |
| minimax m2.7 | minimax | ₽32.74/M | ₽131/M | ₽1 310 |
| minimax m3 | minimax | ₽32.74/M | ₽131/M | ₽1 310 |
| gemini 3.1 flash lite | ₽27.28/M | ₽164/M | ₽1 364 | |
| qwen3.5 plus | qwen3.5 plus | ₽28.06/M | ₽170/M | ₽1 411 |
| Seed 1.6 | ByteDance Seed | ₽27.28/M | ₽218/M | ₽1 637 |
| Seed-2.0-Lite | ByteDance Seed | ₽27.28/M | ₽218/M | ₽1 637 |
| qwen3.5 122b a10b | qwen | ₽28.06/M | ₽227/M | ₽1 696 |
| qwen3.6 plus | qwen | ₽35.08/M | ₽213/M | ₽1 766 |
| Kimi K2.5 | kimi k2.5 | ₽42.10/M | ₽188/M | ₽1 781 |
| mimo v2 omni | mimo v2 omni | ₽43.66/M | ₽218/M | ₽1 965 |
| mistralai · devstral-2512 | mistralai | ₽43.66/M | ₽218/M | ₽1 965 |
| deepseek v4 pro | deepseek | ₽66.26/M | ₽133/M | ₽1 992 |
| qwen3.5 397b a17b | qwen | ₽42.88/M | ₽256/M | ₽2 136 |
| Nano Banana 3 Flash (preview) | nano banana 3 flash | ₽109/M | ₽109/M | ₽2 183 |
| DeepSeek R1 | deepseek r1 | ₽60.03/M | ₽239/M | ₽2 397 |
| gpt audio mini | openai | ₽65.48/M | ₽262/M | ₽2 619 |
| Gemini 3 Flash | gemini 3 flash | ₽54.57/M | ₽327/M | ₽2 728 |
| Sonar | perplexity | ₽109/M | ₽109/M | ₽2 728 |
| GLM-5 | glm 5 | ₽78.74/M | ₽251/M | ₽2 830 |
| kimi k2.7 code | moonshotai | ₽81.08/M | ₽382/M | ₽3 531 |
| mimo v2 pro | mimo v2 pro | ₽109/M | ₽327/M | ₽3 820 |
| Qwen3 Max | qwen3 max | ₽84.97/M | ₽426/M | ₽3 828 |
| Claude Haiku 4 | claude haiku 4 | ₽87.31/M | ₽437/M | ₽3 929 |
| gpt 5.4 mini | openai | ₽81.85/M | ₽491/M | ₽4 093 |
| grok 4.3 | x ai | ₽136/M | ₽273/M | ₽4 093 |
| qwen3.7 max | qwen | ₽136/M | ₽409/M | ₽4 775 |
| glm 5 turbo | z ai | ₽131/M | ₽437/M | ₽4 802 |
| glm 5.1 | z ai | ₽137/M | ₽432/M | ₽4 903 |
| glm 5.2 | z ai | ₽153/M | ₽480/M | ₽5 457 |
| mistralai · mistral-medium-3-5 | mistralai | ₽164/M | ₽819/M | ₽7 367 |
| grok 4.20 | x ai | ₽218/M | ₽655/M | ₽7 640 |
| grok 4.20 multi agent | x ai | ₽218/M | ₽655/M | ₽7 640 |
| gemini 3.5 flash | ₽164/M | ₽982/M | ₽8 185 | |
| gpt 5.1 codex max | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| Nano Banana 3 Pro | ₽437/M | ₽437/M | ₽8 731 | |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽273/M | ₽1 091/M | ₽10 914 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽218/M | ₽1 310/M | ₽10 914 |
| gpt audio | openai | ₽273/M | ₽1 091/M | ₽10 914 |
| GPT-4o | gpt 4o | ₽273/M | ₽1 091/M | ₽10 914 |
| gpt 5.2 | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.2 chat | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.2 codex | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.3 chat | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.3 codex | openai | ₽191/M | ₽1 528/M | ₽11 460 |
| gpt 5.4 | openai | ₽273/M | ₽1 637/M | ₽13 642 |
| Claude Sonnet 4 | claude sonnet 4 | ₽327/M | ₽1 637/M | ₽14 734 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽327/M | ₽1 637/M | ₽14 734 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽327/M | ₽1 637/M | ₽14 734 |
| sonar pro | perplexity | ₽327/M | ₽1 637/M | ₽14 734 |
| Seedance 2.0 | bytedance seed | ₽1 222/M | ₽1 222/M | ₽24 447 |
| Claude Opus 4.6 | claude opus 4 6 | ₽546/M | ₽2 728/M | ₽24 556 |
| Claude Opus 4.7 | claude opus 4 7 | ₽546/M | ₽2 728/M | ₽24 556 |
| claude opus 4.8 | anthropic | ₽546/M | ₽2 728/M | ₽24 556 |
| gpt 5.5 | openai | ₽546/M | ₽3 274/M | ₽27 285 |
| claude fable 5 | anthropic | ₽1 091/M | ₽5 457/M | ₽49 113 |
| gpt 5.2 pro | openai | ₽2 292/M | ₽18 335/M | ₽137 516 |
| gpt 5.4 pro | openai | ₽3 274/M | ₽19 645/M | ₽163 709 |
| gpt 5.5 pro | openai | ₽3 274/M | ₽19 645/M | ₽163 709 |
О провайдере
О сервисе
YepAPI позиционируется как «one API key for everything»: LLM + SEO + scraping + social data. LLM-каталог — карточки на /ai-api с context window и input price; полные цены (input + output) — в FAQ schema.org на страницах /ai-api/{provider}/{model}. На AI-APISHKA — $/1M из HTML-скрапинга listing + detail FAQ.
Как сравнивать на AI-APISHKA
Сравнивайте LLM $/1M с OpenRouter на overlap. YepAPI — broader platform, не чистый LLM router.
Частые вопросы
- Где цены YepAPI LLM?
- Листинг https://www.yepapi.com/ai-api (input $/M) + detail pages /ai-api/{provider}/{model} (FAQ: input + output per 1M).
- YepAPI берёт markup на LLM?
- Заявлено «no markup on most models» — сверяйте с upstream на overlap.
- YepAPI vs OpenRouter?
- YepAPI — pay-per-call + SEO/scrape/media. OpenRouter — LLM-only, больше моделей, pricing в API.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
YepAPI предлагает 85 моделей AI API. Средняя цена — ₽539/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽3.90/M (gpt oss 120b).
Сравните цены на gpt oss 120b , qwen3.5 9b , Qwen3.5 Flash , Seed 1.6 Flash и mimo v2 flash у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.