134 модели с flat USD pricing, tiered cache и web search
- Моделей
- 138
- Средняя цена
- ₽314/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Pay-as-you-go
- Биллинг
- за токены
- API
- OpenAI-compatible
Tiered pricing — summary показывает базовый tier; полные tiers в pricing.lines · Часть моделей бесплатна (value=0) или только с web_search pricing
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
138 моделей
Текст и чат
оплата за токены · 134
▼
Текст и чат
оплата за токены · 134
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽31 |
| qwen3 vl embedding | qwen3 vl embedding | ₽7.80/M | ₽7.80/M | ₽156 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽203 |
| Agnes-2.0-Flash | Sapiens AI | ₽7.80/M | ₽15.59/M | ₽234 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| glm 4.6v flash | glm 4.6v flash | ₽3.41/M | ₽34.04/M | ₽238 |
| Step 3.5 Flash | step 3.5 flash | ₽7.80/M | ₽23.39/M | ₽273 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽6.24/M | ₽31.18/M | ₽281 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽5.68/M | ₽34.04/M | ₽284 |
| 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 |
| mimo v2.5 | mimo v2.5 | ₽10.92/M | ₽21.11/M | ₽324 |
| DeepSeek Chat (V3) | deepseek chat | ₽10.91/M | ₽21.83/M | ₽327 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽10.91/M | ₽21.83/M | ₽327 |
| deepseek v4 flash | deepseek | ₽10.91/M | ₽21.83/M | ₽327 |
| Hy3 | hy3 | ₽10.31/M | ₽41.32/M | ₽413 |
| KAT-Coder-Air-V2.5 | KwaiKAT | ₽10.52/M | ₽42.10/M | ₽421 |
| KAT-Coder-Pro-V2 | KwaiKAT | ₽10.70/M | ₽42.82/M | ₽428 |
| minimax m3 | minimax | ₽10.70/M | ₽42.82/M | ₽428 |
| qwen3.7 plus | qwen | ₽10.70/M | ₽42.82/M | ₽428 |
| ERNIE-X1.1-Preview | Baidu | ₽10.91/M | ₽43.66/M | ₽437 |
| deepseek v3.2 | deepseek | ₽16.84/M | ₽25.57/M | ₽465 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| Step 3.7 Flash | step 3.7 flash | ₽10.53/M | ₽60.53/M | ₽513 |
| qwen3.6 flash | qwen | ₽10.50/M | ₽63.01/M | ₽525 |
| Doubao-Seed-Character | ByteDance | ₽13.78/M | ₽68.93/M | ₽620 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽9.35/M | ₽87.31/M | ₽624 |
| Ling-2.6-1T | inclusionAI | ₽10.28/M | ₽85.63/M | ₽634 |
| Ring-2.6-1T | inclusionAI | ₽10.28/M | ₽85.63/M | ₽634 |
| qwen3 14b | qwen | ₽10.91/M | ₽109/M | ₽764 |
| glm 4.6v | z ai | ₽22.69/M | ₽68.09/M | ₽794 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| deepseek chat v3.1 | deepseek | ₽21.83/M | ₽86.53/M | ₽869 |
| qwen3 235b a22b 2507 | qwen | ₽21.83/M | ₽86.53/M | ₽869 |
| LongCat 2.0 | meituan | ₽23.39/M | ₽91.99/M | ₽928 |
| minimax m2 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2 her | 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 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| doubao seed 2 0 lite | doubao seed 2 0 lite | ₽19.49/M | ₽118/M | ₽978 |
| mimo v2.5 pro | mimo v2.5 pro | ₽33.91/M | ₽67.82/M | ₽1 017 |
| deepseek v4 pro | deepseek | ₽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 |
| qwen3.7 max | qwen | ₽33.58/M | ₽101/M | ₽1 175 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| kimi k2.7 code | moonshotai | ₽33.19/M | ₽140/M | ₽1 363 |
| Mistral Large 3 2512 | Mistral | ₽38.98/M | ₽117/M | ₽1 364 |
| KAT-Coder-Pro-V2.5 | KwaiKAT | ₽34.61/M | ₽138/M | ₽1 385 |
| Llama 3.3 70B | llama 3.3 70b | ₽46.77/M | ₽93.55/M | ₽1 403 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| Doubao Seed 2.1 Pro | doubao seed 2 1 pro | ₽32.94/M | ₽165/M | ₽1 482 |
| Doubao Seed 2.1 Turbo | doubao seed 2 1 turbo | ₽32.94/M | ₽165/M | ₽1 482 |
| Doubao-Seed-Evolving | ByteDance | ₽32.94/M | ₽165/M | ₽1 482 |
| Doubao-Seed-Code | ByteDance | ₽30.40/M | ₽175/M | ₽1 485 |
| qwen3 235b a22b | qwen | ₽21.83/M | ₽217/M | ₽1 520 |
| LLaDA2.1-flash | inclusionAI | ₽21.83/M | ₽222/M | ₽1 547 |
| qwen3.5 plus | qwen3.5 plus | ₽31.18/M | ₽187/M | ₽1 559 |
| DeepSeek R1 | deepseek r1 | ₽43.66/M | ₽174/M | ₽1 742 |
| glm 4.5 | z ai | ₽45.39/M | ₽182/M | ₽1 816 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽26.51/M | ₽266/M | ₽1 859 |
| ERNIE 5.1 | Baidu | ₽49.65/M | ₽182/M | ₽1 904 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽47.63/M | ₽191/M | ₽1 905 |
| Gemini 3 Flash | gemini 3 flash | ₽38.98/M | ₽234/M | ₽1 949 |
| qwen3.6 plus | qwen | ₽38.98/M | ₽234/M | ₽1 949 |
| Kimi K2.5 | kimi k2.5 | ₽45.21/M | ₽235/M | ₽2 081 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| GLM-5 | glm 5 | ₽67.82/M | ₽248/M | ₽2 596 |
| glm 5.2 | z ai | ₽76.40/M -30% ввод | ₽240/M | ₽2 728 |
| Qwen3 VL Plus | qwen3 vl plus | ₽46.77/M | ₽374/M | ₽2 806 |
| gpt 5.4 mini | openai | ₽58.47/M | ₽351/M | ₽2 923 |
| kimi k2.6 | moonshotai | ₽74.06/M | ₽312/M | ₽3 040 |
| glm 5v turbo | z ai | ₽79.24/M | ₽294/M | ₽3 056 |
| glm 5 turbo | z ai | ₽79.52/M | ₽294/M | ₽3 060 |
| glm 5.1 | z ai | ₽91.28/M | ₽319/M | ₽3 423 |
| 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 |
| gpt 5.6 luna | openai | ₽77.96/M | ₽468/M | ₽3 898 |
| qwen3 coder | qwen | ₽97.45/M | ₽391/M | ₽3 902 |
| ERNIE 5.0 | baidu | ₽110/M | ₽438/M | ₽4 389 |
| Doubao Seed 2.0 Code | Doubao Seed 2.0 Code | ₽104/M | ₽523/M | ₽4 705 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽104/M | ₽523/M | ₽4 705 |
| grok 4.5 | x ai | ₽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 | |
| 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 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| grok 4.3 | x ai | ₽195/M | ₽390/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 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| Qwen3.6 Max | Qwen3.6 Max | ₽156/M | ₽935/M | ₽7 796 |
| gpt image 2 | gpt image 2 | ₽390/M | ₽390/M | ₽7 796 |
| GPT-4o | gpt 4o | ₽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 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| qwen3 coder plus | qwen | ₽234/M | ₽1 169/M | ₽10 524 |
| Qwen3 Max | qwen3 max | ₽234/M | ₽1 169/M | ₽10 524 |
| grok 4.2 | grok 4.2 | ₽312/M | ₽935/M | ₽10 914 |
| Grok 4.2 Fast Non Reasoning | xAI | ₽312/M | ₽935/M | ₽10 914 |
| gpt image 1.5 | openai | ₽390/M | ₽780/M | ₽11 694 |
| 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 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽468/M | ₽1 754/M | ₽18 125 |
| chat latest | chat latest | ₽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 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| Claude Opus 4 | claude opus 4 | ₽1 169/M | ₽5 847/M | ₽52 621 |
| 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 |
| glm 4.5 air | z ai | — | — | — |
| glm 4.6 | z ai | — | — | — |
| glm 4.7 | z ai | — | — | — |
Видео и аудио
за секунду · 1
▼
Видео и аудио
за секунду · 1
| Модель | Maker | Цена |
|---|---|---|
| Qwen3 ASR Flash | Qwen | ₽0.0027/сек |
Без публичной цены
нет данных в открытых источниках · 3
▼
Без публичной цены
нет данных в открытых источниках · 3
| Модель | Maker | Примечание |
|---|---|---|
| glm 4.7 flash | z ai | — |
| Ling-2.6-flash | inclusionAI | — |
| MiniMax M2.5 lightning | MiniMax M2.5 lightning | — |
Текст и чат
оплата за токены · 134
▼
Текст и чат
оплата за токены · 134
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽31 |
| qwen3 vl embedding | qwen3 vl embedding | ₽7.80/M | ₽7.80/M | ₽156 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽203 |
| Agnes-2.0-Flash | Sapiens AI | ₽7.80/M | ₽15.59/M | ₽234 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| glm 4.6v flash | glm 4.6v flash | ₽3.41/M | ₽34.04/M | ₽238 |
| Step 3.5 Flash | step 3.5 flash | ₽7.80/M | ₽23.39/M | ₽273 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽6.24/M | ₽31.18/M | ₽281 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽5.68/M | ₽34.04/M | ₽284 |
| 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 |
| mimo v2.5 | mimo v2.5 | ₽10.92/M | ₽21.11/M | ₽324 |
| DeepSeek Chat (V3) | deepseek chat | ₽10.91/M | ₽21.83/M | ₽327 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽10.91/M | ₽21.83/M | ₽327 |
| deepseek v4 flash | deepseek | ₽10.91/M | ₽21.83/M | ₽327 |
| Hy3 | hy3 | ₽10.31/M | ₽41.32/M | ₽413 |
| KAT-Coder-Air-V2.5 | KwaiKAT | ₽10.52/M | ₽42.10/M | ₽421 |
| KAT-Coder-Pro-V2 | KwaiKAT | ₽10.70/M | ₽42.82/M | ₽428 |
| minimax m3 | minimax | ₽10.70/M | ₽42.82/M | ₽428 |
| qwen3.7 plus | qwen | ₽10.70/M | ₽42.82/M | ₽428 |
| ERNIE-X1.1-Preview | Baidu | ₽10.91/M | ₽43.66/M | ₽437 |
| deepseek v3.2 | deepseek | ₽16.84/M | ₽25.57/M | ₽465 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| Step 3.7 Flash | step 3.7 flash | ₽10.53/M | ₽60.53/M | ₽513 |
| qwen3.6 flash | qwen | ₽10.50/M | ₽63.01/M | ₽525 |
| Doubao-Seed-Character | ByteDance | ₽13.78/M | ₽68.93/M | ₽620 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽9.35/M | ₽87.31/M | ₽624 |
| Ling-2.6-1T | inclusionAI | ₽10.28/M | ₽85.63/M | ₽634 |
| Ring-2.6-1T | inclusionAI | ₽10.28/M | ₽85.63/M | ₽634 |
| qwen3 14b | qwen | ₽10.91/M | ₽109/M | ₽764 |
| glm 4.6v | z ai | ₽22.69/M | ₽68.09/M | ₽794 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| deepseek chat v3.1 | deepseek | ₽21.83/M | ₽86.53/M | ₽869 |
| qwen3 235b a22b 2507 | qwen | ₽21.83/M | ₽86.53/M | ₽869 |
| LongCat 2.0 | meituan | ₽23.39/M | ₽91.99/M | ₽928 |
| minimax m2 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2 her | 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 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| doubao seed 2 0 lite | doubao seed 2 0 lite | ₽19.49/M | ₽118/M | ₽978 |
| mimo v2.5 pro | mimo v2.5 pro | ₽33.91/M | ₽67.82/M | ₽1 017 |
| deepseek v4 pro | deepseek | ₽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 |
| qwen3.7 max | qwen | ₽33.58/M | ₽101/M | ₽1 175 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| kimi k2.7 code | moonshotai | ₽33.19/M | ₽140/M | ₽1 363 |
| Mistral Large 3 2512 | Mistral | ₽38.98/M | ₽117/M | ₽1 364 |
| KAT-Coder-Pro-V2.5 | KwaiKAT | ₽34.61/M | ₽138/M | ₽1 385 |
| Llama 3.3 70B | llama 3.3 70b | ₽46.77/M | ₽93.55/M | ₽1 403 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| Doubao Seed 2.1 Pro | doubao seed 2 1 pro | ₽32.94/M | ₽165/M | ₽1 482 |
| Doubao Seed 2.1 Turbo | doubao seed 2 1 turbo | ₽32.94/M | ₽165/M | ₽1 482 |
| Doubao-Seed-Evolving | ByteDance | ₽32.94/M | ₽165/M | ₽1 482 |
| Doubao-Seed-Code | ByteDance | ₽30.40/M | ₽175/M | ₽1 485 |
| qwen3 235b a22b | qwen | ₽21.83/M | ₽217/M | ₽1 520 |
| LLaDA2.1-flash | inclusionAI | ₽21.83/M | ₽222/M | ₽1 547 |
| qwen3.5 plus | qwen3.5 plus | ₽31.18/M | ₽187/M | ₽1 559 |
| DeepSeek R1 | deepseek r1 | ₽43.66/M | ₽174/M | ₽1 742 |
| glm 4.5 | z ai | ₽45.39/M | ₽182/M | ₽1 816 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽26.51/M | ₽266/M | ₽1 859 |
| ERNIE 5.1 | Baidu | ₽49.65/M | ₽182/M | ₽1 904 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽47.63/M | ₽191/M | ₽1 905 |
| Gemini 3 Flash | gemini 3 flash | ₽38.98/M | ₽234/M | ₽1 949 |
| qwen3.6 plus | qwen | ₽38.98/M | ₽234/M | ₽1 949 |
| Kimi K2.5 | kimi k2.5 | ₽45.21/M | ₽235/M | ₽2 081 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| GLM-5 | glm 5 | ₽67.82/M | ₽248/M | ₽2 596 |
| glm 5.2 | z ai | ₽76.40/M -30% ввод | ₽240/M | ₽2 728 |
| Qwen3 VL Plus | qwen3 vl plus | ₽46.77/M | ₽374/M | ₽2 806 |
| gpt 5.4 mini | openai | ₽58.47/M | ₽351/M | ₽2 923 |
| kimi k2.6 | moonshotai | ₽74.06/M | ₽312/M | ₽3 040 |
| glm 5v turbo | z ai | ₽79.24/M | ₽294/M | ₽3 056 |
| glm 5 turbo | z ai | ₽79.52/M | ₽294/M | ₽3 060 |
| glm 5.1 | z ai | ₽91.28/M | ₽319/M | ₽3 423 |
| 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 |
| gpt 5.6 luna | openai | ₽77.96/M | ₽468/M | ₽3 898 |
| qwen3 coder | qwen | ₽97.45/M | ₽391/M | ₽3 902 |
| ERNIE 5.0 | baidu | ₽110/M | ₽438/M | ₽4 389 |
| Doubao Seed 2.0 Code | Doubao Seed 2.0 Code | ₽104/M | ₽523/M | ₽4 705 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽104/M | ₽523/M | ₽4 705 |
| grok 4.5 | x ai | ₽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 | |
| 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 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| grok 4.3 | x ai | ₽195/M | ₽390/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 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| Qwen3.6 Max | Qwen3.6 Max | ₽156/M | ₽935/M | ₽7 796 |
| gpt image 2 | gpt image 2 | ₽390/M | ₽390/M | ₽7 796 |
| GPT-4o | gpt 4o | ₽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 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| qwen3 coder plus | qwen | ₽234/M | ₽1 169/M | ₽10 524 |
| Qwen3 Max | qwen3 max | ₽234/M | ₽1 169/M | ₽10 524 |
| grok 4.2 | grok 4.2 | ₽312/M | ₽935/M | ₽10 914 |
| Grok 4.2 Fast Non Reasoning | xAI | ₽312/M | ₽935/M | ₽10 914 |
| gpt image 1.5 | openai | ₽390/M | ₽780/M | ₽11 694 |
| 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 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽468/M | ₽1 754/M | ₽18 125 |
| chat latest | chat latest | ₽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 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| Claude Opus 4 | claude opus 4 | ₽1 169/M | ₽5 847/M | ₽52 621 |
| 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 |
| glm 4.5 air | z ai | — | — | — |
| glm 4.6 | z ai | — | — | — |
| glm 4.7 | z ai | — | — | — |
Видео и аудио
за секунду · 1
▼
Видео и аудио
за секунду · 1
| Модель | Maker | Цена |
|---|---|---|
| Qwen3 ASR Flash | Qwen | ₽0.0027/сек |
Без публичной цены
нет данных в открытых источниках · 3
▼
Без публичной цены
нет данных в открытых источниках · 3
| Модель | Maker | Примечание |
|---|---|---|
| glm 4.7 flash | z ai | — |
| Ling-2.6-flash | inclusionAI | — |
| MiniMax M2.5 lightning | MiniMax M2.5 lightning | — |
О провайдере
О сервисе
ZenMux — dev-first агрегатор из ресёрча 2026-06 с прозрачным pricing API: в отличие от OneAPI ratio, цены указаны напрямую в USD (perMTokens, perCount, perSecond). Поддерживает multimodal input/output, reasoning capabilities и детальную разбивку cache pricing. На AI-APISHKA сравнивайте $/1M напрямую с OpenRouter и TokenFlux.
Как сравнивать на AI-APISHKA
Flat $/1M из pricings — без пересчёта ratio. При tiered models (Qwen, Claude) смотрите conditions в pricing.lines. Web search — отдельная строка per_call, не входит в input/output summary.
Частые вопросы
- ZenMux — ratio или flat pricing?
- Flat USD в pricings: value + unit (perMTokens, perCount, perSecond). Без model_ratio как у OneAPI.
- Как читать tiered pricing ZenMux?
- conditions.prompt_tokens в kTokens: gte/lte/gt/lt задают tier. На AI-APISHKA каждый tier — отдельная price line.
- ZenMux vs OpenRouter?
- Оба flat USD и OpenAI-compatible. ZenMux публикует pricings[] с cache TTL и audio; сравнивайте $/1M на странице модели.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
ZenMux предлагает 138 моделей AI API. Средняя цена — ₽314/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.56/M (text embedding 3 small).
Сравните цены на Qwen3 ASR Flash , text embedding 3 small , qwen3 vl embedding , text embedding 3 large и Agnes-2.0-Flash у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.