Один шлюз к ~190 моделям, часть из них бесплатная
- Моделей
- 145
- Средняя цена
- ₽580/M
- Регион
- Зарубежный · сайт на английский
- Биллинг
- за токены
- API
- OpenAI-compatible
Цена в каталоге пересчитана из коэффициентов OneAPI — это ориентир, итог смотрите в кабинете · Бесплатные модели имеют отдельную квоту и могут ответить, что лимит кончился
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
145 моделей
Текст и чат
оплата за токены · 130
▼
Текст и чат
оплата за токены · 130
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽43 |
| qwen3.7 flash | qwen | ₽2.57/M | ₽11.13/M | ₽107 |
| gpt oss 120b | openai | ₽2.57/M | ₽14.55/M | ₽124 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽214 |
| glm 5.3 flash | z ai | ₽6.42/M | ₽21.40/M | ₽235 |
| gemma 4 26b a4b it | ₽5.14/M | ₽28.25/M | ₽244 | |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽12.84/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽278 |
| qwen3.5 35b a3b | qwen | ₽4.88/M | ₽39.29/M | ₽294 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/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 |
| DeepSeek Chat (V3) | deepseek chat | ₽12.58/M | ₽25.25/M | ₽378 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽12.58/M | ₽25.25/M | ₽378 |
| deepseek v4 flash | deepseek | ₽12.58/M | ₽25.25/M | ₽378 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽12.58/M | ₽25.25/M | ₽378 |
| gemma 4 31b it | ₽11.13/M | ₽32.53/M | ₽385 | |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽428 |
| qwen3.5 27b | qwen | ₽7.36/M | ₽58.89/M | ₽442 |
| qwen3.8 flash | qwen | ₽12.84/M | ₽40.23/M | ₽458 |
| qwen3.5 plus | qwen3.5 plus | ₽9.84/M | ₽58.89/M | ₽491 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| Hy3 | hy3 | ₽15.41/M | ₽50.50/M | ₽561 |
| qwen3.5 122b a10b | qwen | ₽9.84/M | ₽78.50/M | ₽589 |
| qwen3 vl 8b instruct | qwen | ₽15.41/M | ₽59.92/M | ₽608 |
| qwen3.5 397b a17b | qwen | ₽14.72/M | ₽88.34/M | ₽736 |
| glm 4.5 air | z ai | ₽17.12/M | ₽94.16/M | ₽813 |
| codex auto review | codex auto review | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.7 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| qwen3.6 35b a3b | qwen | ₽21.23/M | ₽127/M | ₽1 060 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| gemini flash lite:free | gemini flash lite latest nothinking | ₽21.40/M | ₽128/M | ₽1 070 |
| qwen3.6 flash | qwen | ₽21.40/M | ₽128/M | ₽1 070 |
| deepseek v4 pro | deepseek | ₽37.84/M | ₽75.67/M | ₽1 135 |
| qwen3.6 plus | qwen | ₽23.63/M | ₽141/M | ₽1 179 |
| qwen3.7 plus | qwen | ₽29.96/M | ₽122/M | ₽1 207 |
| Qwen3 Max | qwen3 max | ₽30.73/M | ₽123/M | ₽1 228 |
| 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 vl 235b a22b | qwen3 vl 235b a22b | ₽34.24/M | ₽137/M | ₽1 370 |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| 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 | |
| qwen3.8 27b | qwen | ₽28.25/M | ₽205/M | ₽1 592 |
| obsidian · gemma-4-26B-A4B | obsidian | ₽21.40/M | ₽248/M | ₽1 669 |
| glm 4.5 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| glm 4.6 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| glm 4.7 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| Gemini Flash Latest | gemini flash latest | ₽42.80/M | ₽257/M | ₽2 140 |
| kimi · kimi-k2.5 | kimi | ₽51.36/M | ₽257/M | ₽2 311 |
| obsidian · Qwen3.6-35B-A3B | obsidian | ₽26.54/M | ₽360/M | ₽2 333 |
| obsidian · Qwen3.8-27B | obsidian | ₽34.24/M | ₽360/M | ₽2 487 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽85.60/M | ₽171/M | ₽2 568 |
| GLM-5 | glm 5 | ₽85.60/M | ₽274/M | ₽3 082 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| grok · grok-4.3 | grok | ₽107/M | ₽214/M | ₽3 210 |
| kimi · kimi-k2.6 | kimi | ₽81.32/M | ₽342/M | ₽3 338 |
| kimi · kimi-k2.7-code | kimi | ₽81.32/M | ₽342/M | ₽3 338 |
| qwen3.7 max | qwen | ₽107/M | ₽321/M | ₽3 745 |
| glm 5.3 | z ai | ₽108/M | ₽339/M | ₽3 852 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| gemini robotics er 1.6 preview | gemini robotics er 1.6 preview | ₽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 |
| glm 5.1 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.2 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽42.80/M | ₽856/M | ₽5 136 |
| gemini 3.6 flash | ₽128/M | ₽642/M | ₽5 778 | |
| grok · grok-4.5 | grok | ₽171/M | ₽514/M | ₽5 992 |
| grok · grok-4.6 | grok | ₽171/M | ₽514/M | ₽5 992 |
| qwen3.8 max | qwen | ₽171/M | ₽514/M | ₽5 992 |
| gpt 4o mini tts | openai | ₽51.36/M | ₽1 027/M | ₽6 163 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5 chat | gpt 5 chat | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5 search api | gpt 5 search api | ₽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 |
| gpt 3.5 turbo 16k | openai | ₽257/M | ₽342/M | ₽6 848 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| gpt image 1 mini | 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-4o | gpt 4o | ₽214/M | ₽856/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 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽85.60/M | ₽1 712/M | ₽10 272 |
| Gemini 3.1 Flash TTS | ₽85.60/M | ₽1 712/M | ₽10 272 | |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| kimi · kimi-k3 | kimi | ₽257/M | ₽1 284/M | ₽11 556 |
| gemini 2.5 flash image | ₽25.68/M | ₽2 568/M | ₽13 354 | |
| gemini 3.1 pro preview customtools | ₽342/M | ₽1 541/M | ₽14 552 | |
| Gemini Pro | gemini pro | ₽342/M | ₽1 541/M | ₽14 552 |
| gpt 5.6 sol | openai | ₽342/M | ₽1 712/M | ₽15 408 |
| gpt 5.4 | openai | ₽428/M | ₽1 926/M | ₽18 190 |
| 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 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt image 1 | openai | ₽428/M | ₽3 424/M | ₽25 680 |
| gpt image 2 | gpt image 2 | ₽685/M | ₽2 568/M | ₽26 536 |
| gpt image 1.5 | openai | ₽685/M | ₽2 739/M | ₽27 392 |
| gpt 4 turbo | openai | ₽856/M | ₽2 568/M | ₽29 960 |
| tts 1 | openai | ₽1 284/M | ₽1 284/M | ₽32 100 |
| Tts 1 1106 | tts 1 1106 | ₽1 284/M | ₽1 284/M | ₽32 100 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| gemini 3 pro image | ₽171/M | ₽10 272/M | ₽54 784 | |
| tts 1 hd | openai | ₽2 568/M | ₽2 568/M | ₽64 201 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 568/M | ₽2 568/M | ₽64 201 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 4 | openai | ₽2 568/M | ₽5 136/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.4 pro | openai | ₽5 136/M | ₽23 112/M | ₽218 282 |
Изображения
за изображение · 4
▼
Изображения
за изображение · 4
| Модель | Maker | Цена |
|---|---|---|
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽1.71/изобр. |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽3.42/изобр. |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate 001 | ₽5.14/изобр. |
| grok · grok-imagine-image | grok | ₽17.12/изобр. |
За запрос
фиксированная цена за вызов · 10
▼
За запрос
фиксированная цена за вызов · 10
| Модель | Maker | Цена |
|---|---|---|
| Kling 2.6 | kling v2 6 | ₽3.60/вызов |
| kling v2 5 turbo | kling v2 5 turbo | ₽3.60/вызов |
| MiniMax H3 | minimax h3 | ₽6.85/вызов |
| kling v1 | kling v1 | ₽7.19/вызов |
| Kling V3 Omni | kling v3 omni | ₽7.19/вызов |
| Kling Video O1 | kling video o1 | ₽7.19/вызов |
| kling 3 turbo | kling | ₽9.59/вызов |
| Kling 2.1 Master | kling v2 1 master | ₽23.97/вызов |
| kling v2 master | kling v2 master | ₽23.97/вызов |
| orca · dub | orca | ₽51.36/вызов |
Текст и чат
оплата за токены · 130
▼
Текст и чат
оплата за токены · 130
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽43 |
| qwen3.7 flash | qwen | ₽2.57/M | ₽11.13/M | ₽107 |
| gpt oss 120b | openai | ₽2.57/M | ₽14.55/M | ₽124 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽214 |
| glm 5.3 flash | z ai | ₽6.42/M | ₽21.40/M | ₽235 |
| gemma 4 26b a4b it | ₽5.14/M | ₽28.25/M | ₽244 | |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽12.84/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽278 |
| qwen3.5 35b a3b | qwen | ₽4.88/M | ₽39.29/M | ₽294 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/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 |
| DeepSeek Chat (V3) | deepseek chat | ₽12.58/M | ₽25.25/M | ₽378 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽12.58/M | ₽25.25/M | ₽378 |
| deepseek v4 flash | deepseek | ₽12.58/M | ₽25.25/M | ₽378 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽12.58/M | ₽25.25/M | ₽378 |
| gemma 4 31b it | ₽11.13/M | ₽32.53/M | ₽385 | |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽428 |
| qwen3.5 27b | qwen | ₽7.36/M | ₽58.89/M | ₽442 |
| qwen3.8 flash | qwen | ₽12.84/M | ₽40.23/M | ₽458 |
| qwen3.5 plus | qwen3.5 plus | ₽9.84/M | ₽58.89/M | ₽491 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| Hy3 | hy3 | ₽15.41/M | ₽50.50/M | ₽561 |
| qwen3.5 122b a10b | qwen | ₽9.84/M | ₽78.50/M | ₽589 |
| qwen3 vl 8b instruct | qwen | ₽15.41/M | ₽59.92/M | ₽608 |
| qwen3.5 397b a17b | qwen | ₽14.72/M | ₽88.34/M | ₽736 |
| glm 4.5 air | z ai | ₽17.12/M | ₽94.16/M | ₽813 |
| codex auto review | codex auto review | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.7 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| qwen3.6 35b a3b | qwen | ₽21.23/M | ₽127/M | ₽1 060 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| gemini flash lite:free | gemini flash lite latest nothinking | ₽21.40/M | ₽128/M | ₽1 070 |
| qwen3.6 flash | qwen | ₽21.40/M | ₽128/M | ₽1 070 |
| deepseek v4 pro | deepseek | ₽37.84/M | ₽75.67/M | ₽1 135 |
| qwen3.6 plus | qwen | ₽23.63/M | ₽141/M | ₽1 179 |
| qwen3.7 plus | qwen | ₽29.96/M | ₽122/M | ₽1 207 |
| Qwen3 Max | qwen3 max | ₽30.73/M | ₽123/M | ₽1 228 |
| 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 vl 235b a22b | qwen3 vl 235b a22b | ₽34.24/M | ₽137/M | ₽1 370 |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| 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 | |
| qwen3.8 27b | qwen | ₽28.25/M | ₽205/M | ₽1 592 |
| obsidian · gemma-4-26B-A4B | obsidian | ₽21.40/M | ₽248/M | ₽1 669 |
| glm 4.5 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| glm 4.6 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| glm 4.7 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| Gemini Flash Latest | gemini flash latest | ₽42.80/M | ₽257/M | ₽2 140 |
| kimi · kimi-k2.5 | kimi | ₽51.36/M | ₽257/M | ₽2 311 |
| obsidian · Qwen3.6-35B-A3B | obsidian | ₽26.54/M | ₽360/M | ₽2 333 |
| obsidian · Qwen3.8-27B | obsidian | ₽34.24/M | ₽360/M | ₽2 487 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽85.60/M | ₽171/M | ₽2 568 |
| GLM-5 | glm 5 | ₽85.60/M | ₽274/M | ₽3 082 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| grok · grok-4.3 | grok | ₽107/M | ₽214/M | ₽3 210 |
| kimi · kimi-k2.6 | kimi | ₽81.32/M | ₽342/M | ₽3 338 |
| kimi · kimi-k2.7-code | kimi | ₽81.32/M | ₽342/M | ₽3 338 |
| qwen3.7 max | qwen | ₽107/M | ₽321/M | ₽3 745 |
| glm 5.3 | z ai | ₽108/M | ₽339/M | ₽3 852 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| gemini robotics er 1.6 preview | gemini robotics er 1.6 preview | ₽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 |
| glm 5.1 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.2 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽42.80/M | ₽856/M | ₽5 136 |
| gemini 3.6 flash | ₽128/M | ₽642/M | ₽5 778 | |
| grok · grok-4.5 | grok | ₽171/M | ₽514/M | ₽5 992 |
| grok · grok-4.6 | grok | ₽171/M | ₽514/M | ₽5 992 |
| qwen3.8 max | qwen | ₽171/M | ₽514/M | ₽5 992 |
| gpt 4o mini tts | openai | ₽51.36/M | ₽1 027/M | ₽6 163 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5 chat | gpt 5 chat | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5 search api | gpt 5 search api | ₽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 |
| gpt 3.5 turbo 16k | openai | ₽257/M | ₽342/M | ₽6 848 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| gpt image 1 mini | 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-4o | gpt 4o | ₽214/M | ₽856/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 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽85.60/M | ₽1 712/M | ₽10 272 |
| Gemini 3.1 Flash TTS | ₽85.60/M | ₽1 712/M | ₽10 272 | |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| kimi · kimi-k3 | kimi | ₽257/M | ₽1 284/M | ₽11 556 |
| gemini 2.5 flash image | ₽25.68/M | ₽2 568/M | ₽13 354 | |
| gemini 3.1 pro preview customtools | ₽342/M | ₽1 541/M | ₽14 552 | |
| Gemini Pro | gemini pro | ₽342/M | ₽1 541/M | ₽14 552 |
| gpt 5.6 sol | openai | ₽342/M | ₽1 712/M | ₽15 408 |
| gpt 5.4 | openai | ₽428/M | ₽1 926/M | ₽18 190 |
| 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 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt image 1 | openai | ₽428/M | ₽3 424/M | ₽25 680 |
| gpt image 2 | gpt image 2 | ₽685/M | ₽2 568/M | ₽26 536 |
| gpt image 1.5 | openai | ₽685/M | ₽2 739/M | ₽27 392 |
| gpt 4 turbo | openai | ₽856/M | ₽2 568/M | ₽29 960 |
| tts 1 | openai | ₽1 284/M | ₽1 284/M | ₽32 100 |
| Tts 1 1106 | tts 1 1106 | ₽1 284/M | ₽1 284/M | ₽32 100 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| gemini 3 pro image | ₽171/M | ₽10 272/M | ₽54 784 | |
| tts 1 hd | openai | ₽2 568/M | ₽2 568/M | ₽64 201 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 568/M | ₽2 568/M | ₽64 201 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 4 | openai | ₽2 568/M | ₽5 136/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.4 pro | openai | ₽5 136/M | ₽23 112/M | ₽218 282 |
Изображения
за изображение · 4
▼
Изображения
за изображение · 4
| Модель | Maker | Цена |
|---|---|---|
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽1.71/изобр. |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽3.42/изобр. |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate 001 | ₽5.14/изобр. |
| grok · grok-imagine-image | grok | ₽17.12/изобр. |
За запрос
фиксированная цена за вызов · 10
▼
За запрос
фиксированная цена за вызов · 10
| Модель | Maker | Цена |
|---|---|---|
| Kling 2.6 | kling v2 6 | ₽3.60/вызов |
| kling v2 5 turbo | kling v2 5 turbo | ₽3.60/вызов |
| MiniMax H3 | minimax h3 | ₽6.85/вызов |
| kling v1 | kling v1 | ₽7.19/вызов |
| Kling V3 Omni | kling v3 omni | ₽7.19/вызов |
| Kling Video O1 | kling video o1 | ₽7.19/вызов |
| kling 3 turbo | kling | ₽9.59/вызов |
| Kling 2.1 Master | kling v2 1 master | ₽23.97/вызов |
| kling v2 master | kling v2 master | ₽23.97/вызов |
| orca · dub | orca | ₽51.36/вызов |
Как мы считаем цены
Цены пересчитаны из ratio (model_ratio, group_ratio) в $/1M для сравнения с другими агрегаторами.
О провайдере
О сервисе
OrcaRouter удобен, если нужен широкий каталог и несколько бесплатных моделей без стартового баланса. Не российский сервис: сайт на английском, цены в долларах.
Как сравнивать на AI-APISHKA
Сравнивайте $/1M с OpenRouter и UnoRouter на тех же Claude, GPT и DeepSeek. У бесплатных строк смотрите, что у других агрегаторов модель платная.
Частые вопросы
- Какой адрес API?
- https://api.orcarouter.ai/v1. Список моделей без ключа: GET /v1/models. Прайс: https://www.orcarouter.ai/pricing
- Почему часть моделей с нулевой ценой?
- У OrcaRouter есть отдельные бесплатные идентификаторы (в имени часто есть free). Квота у них своя и может кончиться раньше, чем у платных.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
OrcaRouter предлагает 145 моделей AI API. Средняя цена — ₽580/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.71/M (text embedding 3 small).
Сравните цены на Imagen 4.0 Fast Generate 001 , Imagen 4.0 Generate 001 , Kling 2.6 , kling v2 5 turbo и Imagen 4.0 Ultra Generate 001 у других провайдеров или в каталоге агрегаторов . Данные обновлены 30.08.2026.