134 модели с flat USD pricing, tiered cache и web search
- Моделей
- 162
- Средняя цена
- ₽315/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 = 85.6007 ₽ · 1 CNY = 12.7335 ₽ · 29.08.2026
162 моделей
Текст и чат
оплата за токены · 151
▼
Текст и чат
оплата за токены · 151
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽34 |
| Ling-3.0-flash | inclusionai | ₽1.80/M | ₽5.39/M | ₽63 |
| qwen3 vl embedding | qwen3 vl embedding | ₽8.56/M | ₽8.56/M | ₽171 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽223 |
| glm 5.3 flash | z ai | ₽6.42/M | ₽21.40/M | ₽235 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| glm 4.6v flash | glm 4.6v flash | ₽3.74/M | ₽37.38/M | ₽262 |
| Step 3.5 Flash | step 3.5 flash | ₽8.56/M | ₽25.68/M | ₽300 |
| mimo v2.5 | mimo v2.5 | ₽10.27/M | ₽19.86/M | ₽305 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽6.85/M | ₽34.24/M | ₽308 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽6.23/M | ₽37.38/M | ₽312 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| Qwen3.5 Flash | alibaba | ₽8.56/M | ₽34.24/M | ₽342 |
| qwen3.7 flash | qwen | ₽8.56/M | ₽34.24/M | ₽342 |
| qwen3.8 flash | qwen | ₽13.70/M | ₽40.23/M | ₽475 |
| ERNIE-X1.1-Preview | Baidu | ₽11.98/M | ₽47.94/M | ₽479 |
| Hy3 | hy3 | ₽12.58/M | ₽50.42/M | ₽504 |
| deepseek v3.2 | deepseek | ₽18.49/M | ₽28.08/M | ₽510 |
| gemma 4 26b a4b it | ₽12.84/M | ₽51.36/M | ₽514 | |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| KAT-Coder-Air-V2.5 | KwaiKAT | ₽12.84/M | ₽51.36/M | ₽514 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽18.83/M | ₽56.50/M | ₽659 |
| Doubao-Seed-Character | ByteDance | ₽15.13/M | ₽75.69/M | ₽681 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽10.27/M | ₽95.87/M | ₽685 |
| Step 3.7 Flash | step 3.7 flash | ₽17.12/M | ₽98.44/M | ₽835 |
| qwen3 14b | qwen | ₽11.98/M | ₽120/M | ₽839 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| glm 4.6v | z ai | ₽24.92/M | ₽74.76/M | ₽872 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| minimax m3 | minimax | ₽23.11/M | ₽92.45/M | ₽924 |
| deepseek chat v3.1 | deepseek | ₽23.97/M | ₽95.02/M | ₽954 |
| qwen3 235b a22b 2507 | qwen | ₽23.97/M | ₽95.02/M | ₽954 |
| KAT-Coder-Pro-V2 | KwaiKAT | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2 her | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.1 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.7 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.6 flash | qwen | ₽21.40/M | ₽128/M | ₽1 070 |
| doubao seed 2 0 lite | doubao seed 2 0 lite | ₽21.40/M | ₽129/M | ₽1 074 |
| mimo v2.5 pro | mimo v2.5 pro | ₽37.66/M | ₽75.33/M | ₽1 130 |
| Agnes-2.5-Pro | Sapiens AI | ₽38.52/M | ₽77.04/M | ₽1 156 |
| deepseek v4 flash | deepseek | ₽56.50/M | ₽18.83/M | ₽1 224 |
| gpt 5.1 codex mini | openai | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3.7 plus | qwen | ₽34.24/M | ₽137/M | ₽1 370 |
| Large 3 2512 | mistralai | ₽42.80/M | ₽128/M | ₽1 498 |
| Llama 3.3 70B | llama 3.3 70b | ₽51.36/M | ₽103/M | ₽1 541 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽214/M | ₽1 584 |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| Doubao-Seed-Code | ByteDance | ₽33.38/M | ₽193/M | ₽1 631 |
| qwen3 235b a22b | qwen | ₽23.97/M | ₽238/M | ₽1 669 |
| LLaDA2.1-flash | inclusionAI | ₽23.97/M | ₽244/M | ₽1 699 |
| Doubao Seed 2.1 Turbo | doubao seed 2 1 turbo | ₽37.87/M | ₽189/M | ₽1 704 |
| qwen3.5 plus | qwen3.5 plus | ₽34.24/M | ₽205/M | ₽1 712 |
| Macaron V1 Tall | Mind Lab | ₽38.52/M | ₽223/M | ₽1 883 |
| DeepSeek R1 | deepseek r1 | ₽47.94/M | ₽191/M | ₽1 913 |
| Nex-N2-Pro | nex agi | ₽42.80/M | ₽214/M | ₽1 926 |
| deepseek v4 pro | deepseek | ₽56.50/M | ₽169/M | ₽1 977 |
| glm 4.5 | z ai | ₽49.85/M | ₽199/M | ₽1 994 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽29.10/M | ₽292/M | ₽2 042 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽52.30/M | ₽209/M | ₽2 092 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.6 plus | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.8 27b | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| Kimi K2.5 | kimi k2.5 | ₽49.65/M | ₽259/M | ₽2 286 |
| KAT-Coder-Pro-V2.5 | KwaiKAT | ₽63.34/M | ₽253/M | ₽2 534 |
| LongCat 2.0 | meituan | ₽64.20/M | ₽253/M | ₽2 547 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| Doubao Seed 2.1 Pro | doubao seed 2 1 pro | ₽60.59/M | ₽303/M | ₽2 727 |
| GLM-5 | glm 5 | ₽74.47/M | ₽272/M | ₽2 851 |
| gemini 3.6 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| ERNIE 5.1 | Baidu | ₽75.50/M | ₽277/M | ₽2 895 |
| glm 5.2 | z ai | ₽83.89/M | ₽264/M | ₽2 996 |
| Qwen3-VL Plus | alibaba | ₽51.36/M | ₽411/M | ₽3 082 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| kimi k2.6 | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| kimi k2.7 code | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| glm 5v turbo | z ai | ₽87.01/M | ₽323/M | ₽3 356 |
| glm 5 turbo | z ai | ₽87.31/M | ₽323/M | ₽3 360 |
| Doubao Seed Evolving | bytedance | ₽75.74/M | ₽379/M | ₽3 408 |
| qwen3.7 max | qwen | ₽107/M | ₽321/M | ₽3 745 |
| glm 5.1 | z ai | ₽100/M | ₽351/M | ₽3 759 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| Muse Spark 1.1 | muse spark 1.1 | ₽107/M | ₽364/M | ₽3 959 |
| Muse Spark 1.2 | muse spark 1.2 | ₽107/M | ₽364/M | ₽3 959 |
| qwen3.8 max | qwen | ₽120/M | ₽360/M | ₽4 194 |
| glm 5.3 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| qwen3 coder | qwen | ₽107/M | ₽429/M | ₽4 284 |
| Macaron V1 Venti | Mind Lab | ₽128/M | ₽385/M | ₽4 494 |
| ERNIE 5.0 | baidu | ₽121/M | ₽481/M | ₽4 819 |
| doubao seed 2.0 code | doubao seed 2.0 code | ₽115/M | ₽574/M | ₽5 166 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽115/M | ₽574/M | ₽5 166 |
| gemini 3.7 flash | ₽128/M | ₽642/M | ₽5 778 | |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽171/M | ₽514/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5 chat | gpt 5 chat | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5.1 Chat | openai | ₽107/M | ₽856/M | ₽6 420 |
| grok 4.3 | x ai | ₽214/M | ₽428/M | ₽6 420 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽163/M | ₽685/M | ₽6 677 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gemini 3.1 pro | ₽171/M | ₽1 027/M | ₽8 560 | |
| gpt 5.6 terra | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt image 2 | gpt image 2 | ₽428/M | ₽428/M | ₽8 560 |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| Qwen3.6 Max | qwen3.6 max | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 chat | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.3 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| GPT-5.3 Chat | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| kimi k3 | moonshotai | ₽231/M | ₽1 156/M | ₽10 400 |
| gpt 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4 | claude sonnet 4 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| qwen3 coder plus | qwen | ₽257/M | ₽1 284/M | ₽11 556 |
| Qwen3 Max | qwen3 max | ₽257/M | ₽1 284/M | ₽11 556 |
| grok 4.2 | grok 4.2 | ₽342/M | ₽1 027/M | ₽11 984 |
| Grok 4.2 Fast Non Reasoning | xAI | ₽342/M | ₽1 027/M | ₽11 984 |
| gpt image 1.5 | openai | ₽428/M | ₽856/M | ₽12 840 |
| gpt 5.6 sol | openai | ₽342/M | ₽1 712/M | ₽15 408 |
| Claude Opus 4.5 | claude opus 4 5 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.6 | claude opus 4 6 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.7 | claude opus 4 7 | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 4.8 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽514/M | ₽1 926/M | ₽19 902 |
| chat latest | chat latest | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| Claude Opus 4 | claude opus 4 | ₽1 284/M | ₽6 420/M | ₽57 780 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| 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 | alibaba | ₽0.0030/сек |
Без публичной цены
нет данных в открытых источниках · 10
▼
Без публичной цены
нет данных в открытых источниках · 10
| Модель | Maker | Примечание |
|---|---|---|
| Agnes-2.5-Flash | Sapiens AI | — |
| Dots3-Note Preview (Бесплатно) | Dots Studio | — |
| gemma 4 31b it | — | |
| glm 4.7 flash | z ai | — |
| Ling-2.6-1T | inclusionai | — |
| Ling-2.6-flash | inclusionai | — |
| Ling-3.0-tiny | inclusionAI | — |
| MiniMax M2.5 lightning | MiniMax M2.5 lightning | — |
| Muse Image 1.0 | Meta | — |
| Ring-2.6-1T | inclusionai | — |
Текст и чат
оплата за токены · 151
▼
Текст и чат
оплата за токены · 151
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽34 |
| Ling-3.0-flash | inclusionai | ₽1.80/M | ₽5.39/M | ₽63 |
| qwen3 vl embedding | qwen3 vl embedding | ₽8.56/M | ₽8.56/M | ₽171 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽223 |
| glm 5.3 flash | z ai | ₽6.42/M | ₽21.40/M | ₽235 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| glm 4.6v flash | glm 4.6v flash | ₽3.74/M | ₽37.38/M | ₽262 |
| Step 3.5 Flash | step 3.5 flash | ₽8.56/M | ₽25.68/M | ₽300 |
| mimo v2.5 | mimo v2.5 | ₽10.27/M | ₽19.86/M | ₽305 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽6.85/M | ₽34.24/M | ₽308 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽6.23/M | ₽37.38/M | ₽312 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| Qwen3.5 Flash | alibaba | ₽8.56/M | ₽34.24/M | ₽342 |
| qwen3.7 flash | qwen | ₽8.56/M | ₽34.24/M | ₽342 |
| qwen3.8 flash | qwen | ₽13.70/M | ₽40.23/M | ₽475 |
| ERNIE-X1.1-Preview | Baidu | ₽11.98/M | ₽47.94/M | ₽479 |
| Hy3 | hy3 | ₽12.58/M | ₽50.42/M | ₽504 |
| deepseek v3.2 | deepseek | ₽18.49/M | ₽28.08/M | ₽510 |
| gemma 4 26b a4b it | ₽12.84/M | ₽51.36/M | ₽514 | |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| KAT-Coder-Air-V2.5 | KwaiKAT | ₽12.84/M | ₽51.36/M | ₽514 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽18.83/M | ₽56.50/M | ₽659 |
| Doubao-Seed-Character | ByteDance | ₽15.13/M | ₽75.69/M | ₽681 |
| Doubao Seed 2.0 Mini | doubao seed 2 0 mini | ₽10.27/M | ₽95.87/M | ₽685 |
| Step 3.7 Flash | step 3.7 flash | ₽17.12/M | ₽98.44/M | ₽835 |
| qwen3 14b | qwen | ₽11.98/M | ₽120/M | ₽839 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| glm 4.6v | z ai | ₽24.92/M | ₽74.76/M | ₽872 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| minimax m3 | minimax | ₽23.11/M | ₽92.45/M | ₽924 |
| deepseek chat v3.1 | deepseek | ₽23.97/M | ₽95.02/M | ₽954 |
| qwen3 235b a22b 2507 | qwen | ₽23.97/M | ₽95.02/M | ₽954 |
| KAT-Coder-Pro-V2 | KwaiKAT | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2 her | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.1 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.7 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.6 flash | qwen | ₽21.40/M | ₽128/M | ₽1 070 |
| doubao seed 2 0 lite | doubao seed 2 0 lite | ₽21.40/M | ₽129/M | ₽1 074 |
| mimo v2.5 pro | mimo v2.5 pro | ₽37.66/M | ₽75.33/M | ₽1 130 |
| Agnes-2.5-Pro | Sapiens AI | ₽38.52/M | ₽77.04/M | ₽1 156 |
| deepseek v4 flash | deepseek | ₽56.50/M | ₽18.83/M | ₽1 224 |
| gpt 5.1 codex mini | openai | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3.7 plus | qwen | ₽34.24/M | ₽137/M | ₽1 370 |
| Large 3 2512 | mistralai | ₽42.80/M | ₽128/M | ₽1 498 |
| Llama 3.3 70B | llama 3.3 70b | ₽51.36/M | ₽103/M | ₽1 541 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽214/M | ₽1 584 |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| Doubao-Seed-Code | ByteDance | ₽33.38/M | ₽193/M | ₽1 631 |
| qwen3 235b a22b | qwen | ₽23.97/M | ₽238/M | ₽1 669 |
| LLaDA2.1-flash | inclusionAI | ₽23.97/M | ₽244/M | ₽1 699 |
| Doubao Seed 2.1 Turbo | doubao seed 2 1 turbo | ₽37.87/M | ₽189/M | ₽1 704 |
| qwen3.5 plus | qwen3.5 plus | ₽34.24/M | ₽205/M | ₽1 712 |
| Macaron V1 Tall | Mind Lab | ₽38.52/M | ₽223/M | ₽1 883 |
| DeepSeek R1 | deepseek r1 | ₽47.94/M | ₽191/M | ₽1 913 |
| Nex-N2-Pro | nex agi | ₽42.80/M | ₽214/M | ₽1 926 |
| deepseek v4 pro | deepseek | ₽56.50/M | ₽169/M | ₽1 977 |
| glm 4.5 | z ai | ₽49.85/M | ₽199/M | ₽1 994 |
| Doubao Seed 1.8 | doubao seed 1 8 | ₽29.10/M | ₽292/M | ₽2 042 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽52.30/M | ₽209/M | ₽2 092 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.6 plus | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.8 27b | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| Kimi K2.5 | kimi k2.5 | ₽49.65/M | ₽259/M | ₽2 286 |
| KAT-Coder-Pro-V2.5 | KwaiKAT | ₽63.34/M | ₽253/M | ₽2 534 |
| LongCat 2.0 | meituan | ₽64.20/M | ₽253/M | ₽2 547 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| Doubao Seed 2.1 Pro | doubao seed 2 1 pro | ₽60.59/M | ₽303/M | ₽2 727 |
| GLM-5 | glm 5 | ₽74.47/M | ₽272/M | ₽2 851 |
| gemini 3.6 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| ERNIE 5.1 | Baidu | ₽75.50/M | ₽277/M | ₽2 895 |
| glm 5.2 | z ai | ₽83.89/M | ₽264/M | ₽2 996 |
| Qwen3-VL Plus | alibaba | ₽51.36/M | ₽411/M | ₽3 082 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| kimi k2.6 | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| kimi k2.7 code | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| glm 5v turbo | z ai | ₽87.01/M | ₽323/M | ₽3 356 |
| glm 5 turbo | z ai | ₽87.31/M | ₽323/M | ₽3 360 |
| Doubao Seed Evolving | bytedance | ₽75.74/M | ₽379/M | ₽3 408 |
| qwen3.7 max | qwen | ₽107/M | ₽321/M | ₽3 745 |
| glm 5.1 | z ai | ₽100/M | ₽351/M | ₽3 759 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| Muse Spark 1.1 | muse spark 1.1 | ₽107/M | ₽364/M | ₽3 959 |
| Muse Spark 1.2 | muse spark 1.2 | ₽107/M | ₽364/M | ₽3 959 |
| qwen3.8 max | qwen | ₽120/M | ₽360/M | ₽4 194 |
| glm 5.3 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| qwen3 coder | qwen | ₽107/M | ₽429/M | ₽4 284 |
| Macaron V1 Venti | Mind Lab | ₽128/M | ₽385/M | ₽4 494 |
| ERNIE 5.0 | baidu | ₽121/M | ₽481/M | ₽4 819 |
| doubao seed 2.0 code | doubao seed 2.0 code | ₽115/M | ₽574/M | ₽5 166 |
| Doubao Seed 2.0 Pro | doubao seed 2 0 pro | ₽115/M | ₽574/M | ₽5 166 |
| gemini 3.7 flash | ₽128/M | ₽642/M | ₽5 778 | |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽171/M | ₽514/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5 chat | gpt 5 chat | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5.1 Chat | openai | ₽107/M | ₽856/M | ₽6 420 |
| grok 4.3 | x ai | ₽214/M | ₽428/M | ₽6 420 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽163/M | ₽685/M | ₽6 677 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gemini 3.1 pro | ₽171/M | ₽1 027/M | ₽8 560 | |
| gpt 5.6 terra | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt image 2 | gpt image 2 | ₽428/M | ₽428/M | ₽8 560 |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| Qwen3.6 Max | qwen3.6 max | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 chat | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.3 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| GPT-5.3 Chat | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| kimi k3 | moonshotai | ₽231/M | ₽1 156/M | ₽10 400 |
| gpt 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4 | claude sonnet 4 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| qwen3 coder plus | qwen | ₽257/M | ₽1 284/M | ₽11 556 |
| Qwen3 Max | qwen3 max | ₽257/M | ₽1 284/M | ₽11 556 |
| grok 4.2 | grok 4.2 | ₽342/M | ₽1 027/M | ₽11 984 |
| Grok 4.2 Fast Non Reasoning | xAI | ₽342/M | ₽1 027/M | ₽11 984 |
| gpt image 1.5 | openai | ₽428/M | ₽856/M | ₽12 840 |
| gpt 5.6 sol | openai | ₽342/M | ₽1 712/M | ₽15 408 |
| Claude Opus 4.5 | claude opus 4 5 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.6 | claude opus 4 6 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.7 | claude opus 4 7 | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 4.8 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽514/M | ₽1 926/M | ₽19 902 |
| chat latest | chat latest | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| Claude Opus 4 | claude opus 4 | ₽1 284/M | ₽6 420/M | ₽57 780 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| 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 | alibaba | ₽0.0030/сек |
Без публичной цены
нет данных в открытых источниках · 10
▼
Без публичной цены
нет данных в открытых источниках · 10
| Модель | Maker | Примечание |
|---|---|---|
| Agnes-2.5-Flash | Sapiens AI | — |
| Dots3-Note Preview (Бесплатно) | Dots Studio | — |
| gemma 4 31b it | — | |
| glm 4.7 flash | z ai | — |
| Ling-2.6-1T | inclusionai | — |
| Ling-2.6-flash | inclusionai | — |
| Ling-3.0-tiny | inclusionAI | — |
| MiniMax M2.5 lightning | MiniMax M2.5 lightning | — |
| Muse Image 1.0 | Meta | — |
| Ring-2.6-1T | inclusionai | — |
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 162 моделей AI API. Средняя цена — ₽315/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.71/M (text embedding 3 small).
Сравните цены на Qwen3-ASR Flash , text embedding 3 small , Ling-3.0-flash , qwen3 vl embedding и text embedding 3 large у других провайдеров или в каталоге агрегаторов . Данные обновлены 30.08.2026.