300+ моделей через один OpenAI-совместимый API, цены в рублях
- Моделей
- 285
- Средняя цена
- ₽482/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽), Карты РФ
- Биллинг
- за токены
- API
- OpenAI-compatible
- Юрлица
- Да
Одна модель может идти через несколько маршрутов — на AI-APISHKA берём самый дешёвый вариант · Корпоративные опции (SLA, Jay Guard, роли) — по отдельному тарифу, не в цене токенов
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
285 моделей
Текст и чат
оплата за токены · 256
▼
Текст и чат
оплата за токены · 256
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.50/M | ₽0.50/M | ₽10 |
| Pplx Embed Context V1 0.6b | pplx embed context v1 0.6b | ₽0.99/M | ₽0.99/M | ₽20 |
| text embedding 3 small | openai | ₽2.48/M | ₽2.48/M | ₽50 |
| mistralai · mistral-nemo | mistralai | ₽2.48/M | ₽3.73/M | ₽68 |
| pplx embed v1 4b | pplx embed v1 4b | ₽3.73/M | ₽3.73/M | ₽75 |
| llama 3.1 8b | llama 3.1 8b | ₽2.48/M | ₽6.21/M | ₽81 |
| Pplx Embed Context V1 4b | pplx embed context v1 4b | ₽6.21/M | ₽6.21/M | ₽124 |
| gpt oss 20b | openai | ₽3.60/M | ₽17.39/M | ₽159 |
| qwen 2.5 7b instruct | qwen | ₽4.97/M | ₽12.42/M | ₽161 |
| Amazon Nova Micro | nova micro | ₽4.35/M | ₽17.39/M | ₽174 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽6.21/M | ₽9.94/M | ₽174 |
| gemma 3 12b it | ₽4.97/M | ₽16.15/M | ₽180 | |
| Command R7B (12-2024) | cohere | ₽4.66/M | ₽18.63/M | ₽186 |
| Gemma 3 4B It | gemma 3 4b it | ₽6.21/M | ₽12.42/M | ₽186 |
| Llama 3.2 1B Preview | meta llama | ₽3.35/M | ₽24.96/M | ₽192 |
| qwen3.5 9b | qwen | ₽4.97/M | ₽18.63/M | ₽193 |
| YandexGPT Embeddings | yandex embeddings | ₽10.10/M | ₽10.10/M | ₽202 |
| gpt oss 120b | openai | ₽4.84/M | ₽22.36/M | ₽209 |
| Gemma 3n E4B It | gemma 3n e4b it | ₽7.45/M | ₽14.90/M | ₽224 |
| qwen3 235b a22b 2507 | qwen | ₽8.82/M | ₽12.42/M | ₽238 |
| qwen3 30b a3b instruct 2507 | qwen | ₽5.98/M | ₽23.98/M | ₽239 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽6.21/M | ₽24.84/M | ₽248 |
| Phi 4 | Microsoft | ₽8.07/M | ₽17.39/M | ₽248 |
| Nova Lite | amazon | ₽7.45/M | ₽29.81/M | ₽298 |
| gemma 3 27b it | ₽9.94/M | ₽19.87/M | ₽298 | |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽9.31/M | ₽24.84/M | ₽310 |
| mistralai · ministral-3b-2512 | mistralai | ₽12.42/M | ₽12.42/M | ₽311 |
| qwen3 235b a22b | qwen | ₽12.42/M | ₽12.42/M | ₽311 |
| deepseek v4 flash | deepseek | ₽10.61/M | ₽21.21/M | ₽318 |
| Qwen3.5 Flash | alibaba | ₽8.07/M | ₽32.29/M | ₽323 |
| text embedding 3 large | openai | ₽16.15/M | ₽16.15/M | ₽323 |
| Llama 3.2 3B | llama 3.2 3b | ₽6.32/M | ₽41.61/M | ₽334 |
| glm 5.3 flash | z ai | ₽9.31/M | ₽31.05/M | ₽342 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽8.69/M | ₽33.53/M | ₽342 |
| gemma 4 26b a4b it | ₽7.45/M | ₽40.99/M | ₽354 | |
| gpt oss safeguard 20b | openai | ₽9.31/M | ₽37.26/M | ₽373 |
| Seed 1.6 Flash | bytedance seed | ₽9.31/M | ₽37.26/M | ₽373 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽18.63/M | ₽18.63/M | ₽373 |
| GPT-5 Nano | gpt 5 nano | ₽6.21/M | ₽49.68/M | ₽373 |
| qwen3 8b | qwen | ₽6.21/M | ₽49.68/M | ₽373 |
| UI-TARS 7B | ByteDance | ₽12.42/M | ₽24.84/M | ₽373 |
| qwen3 32b | qwen | ₽9.94/M | ₽34.78/M | ₽373 |
| Llama 4 Scout | llama 4 scout | ₽9.94/M | ₽37.26/M | ₽385 |
| glm 4.7 flash | z ai | ₽7.45/M | ₽49.68/M | ₽397 |
| qwen3 14b | qwen | ₽12.42/M | ₽29.81/M | ₽397 |
| Voxtral Small 24B 2507 | mistralai | ₽12.42/M | ₽37.26/M | ₽435 |
| Llama 3.3 70B | llama 3.3 70b | ₽12.42/M | ₽39.74/M | ₽447 |
| mistralai · ministral-8b-2512 | mistralai | ₽18.63/M | ₽18.63/M | ₽466 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽12.42/M | ₽49.68/M | ₽497 |
| gpt 4.1 nano | openai | ₽12.42/M | ₽49.68/M | ₽497 |
| Llama 3.3 Nemotron Super 49B V1.5 | nvidia | ₽12.42/M | ₽49.68/M | ₽497 |
| Seed-2.0-Mini | bytedance seed | ₽12.42/M | ₽49.68/M | ₽497 |
| Gemini Embedding 2 | gemini embedding 2 | ₽24.84/M | ₽24.84/M | ₽497 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽11.18/M | ₽55.89/M | ₽503 |
| qwen3 30b a3b | qwen | ₽11.18/M | ₽55.89/M | ₽503 |
| qwen3 vl 8b instruct | qwen | ₽9.94/M | ₽62.10/M | ₽509 |
| qwen3 vl 32b instruct | qwen | ₽12.92/M | ₽51.67/M | ₽517 |
| mimo v2.5 | mimo v2.5 | ₽17.39/M | ₽34.78/M | ₽522 |
| gemma 4 31b it | ₽14.90/M | ₽45.95/M | ₽528 | |
| llama guard 4 12b | meta llama | ₽22.36/M | ₽22.36/M | ₽559 |
| mistralai · ministral-14b-2512 | mistralai | ₽24.84/M | ₽24.84/M | ₽621 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽16.15/M | ₽64.58/M | ₽646 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.11/M | ₽96.88/M | ₽727 |
| Command R | command r | ₽18.63/M | ₽74.52/M | ₽745 |
| GPT-4o Mini | gpt 4o mini | ₽18.63/M | ₽74.52/M | ₽745 |
| Llama 4 Maverick | llama 4 maverick | ₽18.63/M | ₽74.52/M | ₽745 |
| Small 4 | mistralai | ₽18.63/M | ₽74.52/M | ₽745 |
| gemini 2.5 flash image | ₽37.26/M | — | ₽745 | |
| llama 3.2 11b vision:free | meta llama | ₽30.43/M | ₽30.43/M | ₽761 |
| qwen3 coder next | qwen | ₽14.90/M | ₽99.36/M | ₽795 |
| Grok 4.1 Fast Non Reasoning | xai | ₽24.84/M | ₽62.10/M | ₽807 |
| glm 4.5 air | z ai | ₽15.53/M | ₽106/M | ₽838 |
| deepseek v3.2 | deepseek | ₽31.30/M | ₽46.95/M | ₽861 |
| mistralai · mistral-saba | mistralai | ₽24.84/M | ₽74.52/M | ₽869 |
| Qwen2.5 Coder 7B Instruct AWQ | alibaba qwen2 5 coder 7b instruct awq | ₽35.00/M | ₽35.00/M | ₽875 |
| qwen3.5 35b a3b | qwen | ₽17.39/M | ₽124/M | ₽969 |
| qwen3.6 35b a3b | qwen | ₽17.39/M | ₽124/M | ₽969 |
| deepseek chat v3.1 | deepseek | ₽26.08/M | ₽98.12/M | ₽1 012 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽24.84/M | ₽109/M | ₽1 043 |
| gpt 5.6 luna | openai | ₽21.60/M | ₽130/M | ₽1 080 |
| minimax m2.5 | minimax | ₽18.63/M | ₽143/M | ₽1 087 |
| qwen2.5 vl 72b instruct | qwen | ₽31.05/M | ₽93.15/M | ₽1 087 |
| qwen3 coder flash | qwen | ₽24.22/M | ₽121/M | ₽1 090 |
| Qwen Plus | qwen plus | ₽32.29/M | ₽96.88/M | ₽1 130 |
| DeepSeek Chat (V3) | deepseek chat | ₽28.42/M | ₽114/M | ₽1 136 |
| qwen 2.5 72b instruct | qwen | ₽44.71/M | ₽49.68/M | ₽1 143 |
| qwen3.6 flash | qwen | ₽23.29/M | ₽140/M | ₽1 164 |
| minimax 01 | minimax | ₽24.84/M | ₽137/M | ₽1 180 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽43.59/M | ₽68.93/M | ₽1 217 |
| Gemini 2.5 Flash Native Audio Latest | gemini 2.5 flash native audio latest | ₽62.10/M | ₽62.10/M | ₽1 242 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽62.10/M | ₽62.10/M | ₽1 242 |
| Gemini 3 Flash | gemini 3 flash | ₽62.10/M | ₽62.10/M | ₽1 242 |
| Llama 3.1 70B | llama 3.1 70b | ₽49.68/M | ₽49.68/M | ₽1 242 |
| minimax m2 | minimax | ₽31.67/M | ₽124/M | ₽1 254 |
| deepseek v3.1 terminus | deepseek | ₽33.53/M | ₽118/M | ₽1 261 |
| gpt 5.4 nano | openai | ₽24.84/M | ₽155/M | ₽1 273 |
| glm 4.6v | z ai | ₽37.26/M | ₽112/M | ₽1 304 |
| mistralai · codestral-2508 | mistralai | ₽37.26/M | ₽112/M | ₽1 304 |
| minimax m2.1 | minimax | ₽36.02/M | ₽118/M | ₽1 310 |
| minimax m2.7 | minimax | ₽32.29/M | ₽149/M | ₽1 391 |
| qwen3.5 27b | qwen | ₽24.22/M | ₽194/M | ₽1 453 |
| minimax m2 her | minimax | ₽37.26/M | ₽149/M | ₽1 490 |
| minimax m3 | minimax | ₽37.26/M | ₽149/M | ₽1 490 |
| gemini 3.1 flash lite | ₽31.05/M | ₽186/M | ₽1 553 | |
| qwen3.5 plus | qwen3.5 plus | ₽32.29/M | ₽194/M | ₽1 615 |
| mimo v2.5 pro | mimo v2.5 pro | ₽54.03/M | ₽108/M | ₽1 621 |
| Gigachat 2 Lite | gigachat 2 lite | ₽65.00/M | ₽65.00/M | ₽1 625 |
| qwen3 coder | qwen | ₽27.32/M | ₽224/M | ₽1 664 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽52.16/M | ₽155/M | ₽1 820 |
| codex mini | codex mini | ₽31.05/M | ₽248/M | ₽1 863 |
| gpt 5.1 codex mini | openai | ₽31.05/M | ₽248/M | ₽1 863 |
| GPT-5 Mini | gpt 5 mini | ₽31.05/M | ₽248/M | ₽1 863 |
| Seed 1.6 | bytedance seed | ₽31.05/M | ₽248/M | ₽1 863 |
| Seed-2.0-Lite | bytedance seed | ₽31.05/M | ₽248/M | ₽1 863 |
| gemini 3.1 flash live preview | gemini 3.1 flash live preview | ₽93.15/M | ₽93.15/M | ₽1 863 |
| WizardLM-2 8x22B | microsoft | ₽77.00/M | ₽77.00/M | ₽1 925 |
| qwen3.5 122b a10b | qwen | ₽32.29/M | ₽258/M | ₽1 938 |
| gpt 4.1 mini | openai | ₽49.68/M | ₽199/M | ₽1 987 |
| gemma 2 27b it | ₽80.73/M | ₽80.73/M | ₽2 018 | |
| qwen3.6 plus | qwen | ₽40.37/M | ₽242/M | ₽2 018 |
| glm 4.7 | z ai | ₽49.68/M | ₽217/M | ₽2 080 |
| glm 4.6 | z ai | ₽53.41/M | ₽216/M | ₽2 149 |
| deepseek v4 pro | deepseek | ₽71.92/M | ₽144/M | ₽2 158 |
| Kimi K2.5 | kimi k2.5 | ₽49.68/M | ₽236/M | ₽2 173 |
| gpt 3.5 turbo | openai | ₽62.10/M | ₽186/M | ₽2 174 |
| Large 3 2512 | mistralai | ₽62.10/M | ₽186/M | ₽2 174 |
| deepseek r1 distill llama 70b | deepseek | ₽86.94/M | ₽99.36/M | ₽2 236 |
| mistralai · devstral-2512 | mistralai | ₽49.68/M | ₽248/M | ₽2 236 |
| mistralai · mistral-medium-3 | mistralai | ₽49.68/M | ₽248/M | ₽2 236 |
| mistralai · mistral-medium-3.1 | mistralai | ₽49.68/M | ₽248/M | ₽2 236 |
| qwen 2.5 coder 32b instruct | qwen | ₽81.97/M | ₽124/M | ₽2 260 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽37.26/M | ₽311/M | ₽2 298 |
| gemini 3.5 flash lite | ₽37.26/M | ₽311/M | ₽2 298 | |
| Nova 2 Lite | amazon | ₽37.26/M | ₽311/M | ₽2 298 |
| minimax m1 | minimax | ₽49.68/M | ₽273/M | ₽2 360 |
| qwen3.5 397b a17b | qwen | ₽48.44/M | ₽291/M | ₽2 422 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽124/M | ₽124/M | ₽2 484 |
| Gemini 3.1 Flash TTS | ₽124/M | ₽124/M | ₽2 484 | |
| DeepSeek R1 | deepseek r1 | ₽62.10/M | ₽267/M | ₽2 577 |
| glm 4.5v | z ai | ₽74.52/M | ₽224/M | ₽2 608 |
| qwen3.6 27b | qwen | ₽36.02/M | ₽397/M | ₽2 708 |
| GLM-5 | glm 5 | ₽74.52/M | ₽258/M | ₽2 782 |
| Kimi K2 | kimi k2 | ₽70.79/M | ₽286/M | ₽2 844 |
| glm 4.5 | z ai | ₽74.52/M | ₽273/M | ₽2 857 |
| gpt audio mini | openai | ₽74.52/M | ₽298/M | ₽2 981 |
| aliceai llm flash | yandex | ₽100/M | ₽200/M | ₽3 000 |
| Sonar | perplexity | ₽124/M | ₽124/M | ₽3 105 |
| qwen3 coder plus | qwen | ₽80.73/M | ₽404/M | ₽3 633 |
| grok build 0.1 | x ai | ₽124/M | ₽248/M | ₽3 726 |
| kimi k2.6 | moonshotai | ₽84.95/M | ₽425/M | ₽3 823 |
| Nova Pro | amazon | ₽99.36/M | ₽397/M | ₽3 974 |
| kimi k2.7 code | moonshotai | ₽93.15/M | ₽435/M | ₽4 036 |
| gpt 5.4 mini | openai | ₽81.00/M | ₽486/M | ₽4 050 |
| gemini 3.6 flash | ₽93.15/M | ₽466/M | ₽4 192 | |
| gemini 3.7 flash | ₽93.15/M | ₽466/M | ₽4 192 | |
| glm 5.1 | z ai | ₽122/M | ₽383/M | ₽4 347 |
| Qwen3 Max | qwen3 max | ₽96.88/M | ₽484/M | ₽4 359 |
| grok 4.20 | x ai | ₽155/M | ₽311/M | ₽4 658 |
| Grok 4.20 Non Reasoning | xai | ₽155/M | ₽311/M | ₽4 658 |
| Grok 4.20 Reasoning | xai | ₽155/M | ₽311/M | ₽4 658 |
| grok 4.3 | x ai | ₽155/M | ₽311/M | ₽4 658 |
| gemini 3 pro image | ₽248/M | — | ₽4 968 | |
| YandexGPT Lite | yandexgpt lite | ₽200/M | ₽200/M | ₽5 000 |
| Qwen2.5 32B Instruct FP8 Dynamic | alibaba qwen2 5 32b instruct fp8 dynamic | ₽213/M | ₽213/M | ₽5 313 |
| qwen3.7 max | qwen | ₽155/M | ₽466/M | ₽5 434 |
| glm 5 turbo | z ai | ₽149/M | ₽497/M | ₽5 465 |
| glm 5v turbo | z ai | ₽149/M | ₽497/M | ₽5 465 |
| O3 Mini | o3 mini | ₽137/M | ₽546/M | ₽5 465 |
| o3 mini high | openai | ₽137/M | ₽546/M | ₽5 465 |
| O4 Mini | o4 mini | ₽137/M | ₽546/M | ₽5 465 |
| o4 mini high | openai | ₽137/M | ₽546/M | ₽5 465 |
| glm 5.2 | z ai | ₽149/M | ₽509/M | ₽5 527 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽124/M | ₽621/M | ₽5 589 |
| gemini robotics er 1.6 preview | gemini robotics er 1.6 preview | ₽124/M | ₽621/M | ₽5 589 |
| glm 5.3 | z ai | ₽174/M | ₽546/M | ₽6 210 |
| Qwen3.6 Max | qwen3.6 max | ₽129/M | ₽775/M | ₽6 458 |
| gpt 5 image mini | openai | ₽311/M | ₽248/M | ₽7 452 |
| mistralai · mistral-medium-3-5 | mistralai | ₽186/M | ₽932/M | ₽8 384 |
| grok 4.20 multi agent | x ai | ₽248/M | ₽745/M | ₽8 694 |
| grok 4.5 | x ai | ₽248/M | ₽745/M | ₽8 694 |
| grok 4.6 | grok 4.6 | ₽248/M | ₽745/M | ₽8 694 |
| Mistral Large 2407 | Mistral large 2407 | ₽248/M | ₽745/M | ₽8 694 |
| mistralai · mistral-large | mistralai | ₽248/M | ₽745/M | ₽8 694 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽248/M | ₽745/M | ₽8 694 |
| Gemini 2.5 Computer Use Preview | gemini 2.5 computer use preview | ₽155/M | ₽1 242/M | ₽9 315 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽155/M | ₽1 242/M | ₽9 315 |
| gemini 3.5 flash | ₽186/M | ₽1 118/M | ₽9 315 | |
| gpt 5 chat | gpt 5 chat | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5 codex | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5 search api | gpt 5 search api | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5.1 | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5.1 codex | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5.1 codex max | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| GPT-5 | gpt 5 | ₽155/M | ₽1 242/M | ₽9 315 |
| GPT-5.1 Chat | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 3.5 turbo 16k | openai | ₽373/M | ₽497/M | ₽9 936 |
| gpt 4.1 | openai | ₽248/M | ₽994/M | ₽9 936 |
| Jamba Large 1.7 | ai21 | ₽248/M | ₽994/M | ₽9 936 |
| O3 | o3 | ₽248/M | ₽994/M | ₽9 936 |
| o4 Mini Deep Research | openai | ₽248/M | ₽994/M | ₽9 936 |
| sonar deep research | perplexity | ₽248/M | ₽994/M | ₽9 936 |
| sonar reasoning pro | perplexity | ₽248/M | ₽994/M | ₽9 936 |
| gemini 3.1 pro | ₽216/M | ₽1 296/M | ₽10 800 | |
| gpt 5.6 terra | openai | ₽216/M | ₽1 296/M | ₽10 800 |
| claude sonnet 5 | anthropic | ₽248/M | ₽1 242/M | ₽11 178 |
| 3 Pi | inflection | ₽311/M | ₽1 242/M | ₽12 420 |
| 3 Productivity | inflection | ₽311/M | ₽1 242/M | ₽12 420 |
| Cohere Command A | cohere command a | ₽311/M | ₽1 242/M | ₽12 420 |
| Command R Plus | command r plus | ₽311/M | ₽1 242/M | ₽12 420 |
| gemini 3.1 pro preview customtools | ₽248/M | ₽1 490/M | ₽12 420 | |
| gpt audio | openai | ₽311/M | ₽1 242/M | ₽12 420 |
| gpt image 1 | openai | ₽621/M | — | ₽12 420 |
| gpt image 1.5 | openai | ₽621/M | — | ₽12 420 |
| gpt image 2 | gpt image 2 | ₽621/M | — | ₽12 420 |
| GPT-4o | gpt 4o | ₽311/M | ₽1 242/M | ₽12 420 |
| gigachat 2 pro | gigachat 2 pro | ₽500/M | ₽500/M | ₽12 500 |
| gpt 5.2 | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| gpt 5.2 chat | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| gpt 5.2 codex | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| gpt 5.3 codex | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| GPT-5.3 Chat | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| gpt 5.4 | openai | ₽270/M | ₽1 620/M | ₽13 500 |
| Nova Premier 1.0 | amazon | ₽311/M | ₽1 553/M | ₽13 972 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽324/M | ₽1 620/M | ₽14 580 |
| Computer Use Preview | computer use preview | ₽373/M | ₽1 490/M | ₽14 904 |
| Alice AI LLM | aliceai llm | ₽500/M | ₽1 200/M | ₽16 000 |
| gigachat 2 max | gigachat 2 max | ₽650/M | ₽650/M | ₽16 250 |
| Claude Sonnet 4 | claude sonnet 4 | ₽373/M | ₽1 863/M | ₽16 767 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽373/M | ₽1 863/M | ₽16 767 |
| kimi k3 | moonshotai | ₽373/M | ₽1 863/M | ₽16 767 |
| sonar pro | perplexity | ₽373/M | ₽1 863/M | ₽16 767 |
| gpt realtime | gpt realtime | ₽497/M | ₽1 987/M | ₽19 872 |
| yandexgpt · rc | yandex | ₽800/M | ₽800/M | ₽20 000 |
| Claude Opus 4.6 | claude opus 4 6 | ₽540/M | ₽2 700/M | ₽24 300 |
| Claude Opus 4.7 | claude opus 4 7 | ₽540/M | ₽2 700/M | ₽24 300 |
| claude opus 4.8 | anthropic | ₽540/M | ₽2 700/M | ₽24 300 |
| claude opus 5 | anthropic | ₽540/M | ₽2 700/M | ₽24 300 |
| gpt 5.5 | openai | ₽540/M | ₽3 240/M | ₽27 000 |
| gpt 5.6 sol | openai | ₽540/M | ₽3 240/M | ₽27 000 |
| Claude Opus 4.5 | claude opus 4 5 | ₽621/M | ₽3 105/M | ₽27 945 |
| GPT-5.4 Image 2 | openai | ₽994/M | ₽1 863/M | ₽29 187 |
| yandexgpt-pro | yandexgpt | ₽1 200/M | ₽1 200/M | ₽30 000 |
| GPT Chat | gpt chat latest | ₽621/M | ₽3 726/M | ₽31 050 |
| gpt 5 image | openai | ₽1 242/M | ₽1 242/M | ₽31 050 |
| gpt 4 turbo | openai | ₽1 242/M | ₽3 726/M | ₽43 470 |
| O3 Deep Research | o3 deep research | ₽1 242/M | ₽4 968/M | ₽49 680 |
| claude fable 5 | anthropic | ₽1 242/M | ₽6 210/M | ₽55 890 |
| O1 | o1 | ₽1 863/M | ₽7 452/M | ₽74 520 |
| Claude Opus 4 | claude opus 4 | ₽1 863/M | ₽9 315/M | ₽83 835 |
| o3 pro | openai | ₽2 484/M | ₽9 936/M | ₽99 360 |
| gpt 5 pro | openai | ₽1 863/M | ₽14 904/M | ₽111 780 |
| gpt 4 | openai | ₽3 726/M | ₽7 452/M | ₽111 780 |
| gpt 5.2 pro | openai | ₽2 608/M | ₽20 866/M | ₽156 492 |
| gpt 5.4 pro | openai | ₽3 726/M | ₽22 356/M | ₽186 300 |
| gpt 5.5 pro | openai | ₽3 726/M | ₽22 356/M | ₽186 300 |
| o1 pro | openai | ₽18 630/M | ₽74 520/M | ₽745 200 |
Видео и аудио
за секунду · 6
▼
Видео и аудио
за секунду · 6
| Модель | Maker | Цена |
|---|---|---|
| photo_avatar | photo_avatar | ₽6.21/сек |
| Veo 3.1 Lite | ₽6.21/сек | |
| digital_twin | digital_twin | ₽8.28/сек |
| studio_avatar | studio_avatar | ₽8.28/сек |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽12.42/сек |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽49.68/сек |
За запрос
фиксированная цена за вызов · 22
▼
За запрос
фиксированная цена за вызов · 22
| Модель | Maker | Цена |
|---|---|---|
| Manus Credits | manus credits | ₽1.24/вызов |
| FindAll Preview | findAll | ₽12.42/вызов |
| FindAll Base | findAll | ₽31.05/вызов |
| Extract | extract | ₽124/вызов |
| FindAll Core | findAll | ₽248/вызов |
| Monitor Lite | monitor | ₽373/вызов |
| Chat Lite | chat | ₽621/вызов |
| Chat Speed | chat | ₽621/вызов |
| Search | search | ₽621/вызов |
| Tasks Lite | tasks | ₽621/вызов |
| Chat Base | chat | ₽1 242/вызов |
| FindAll Pro | findAll | ₽1 242/вызов |
| Monitor Base | monitor | ₽1 242/вызов |
| Tasks Base | tasks | ₽1 242/вызов |
| Chat Core | chat | ₽3 105/вызов |
| Tasks Core | tasks | ₽3 105/вызов |
| Tasks Core2x | tasks | ₽6 210/вызов |
| Tasks Pro | tasks | ₽12 420/вызов |
| Tasks Ultra | tasks | ₽37 260/вызов |
| Tasks Ultra2x | tasks | ₽74 520/вызов |
| Tasks Ultra4x | tasks | ₽149 040/вызов |
| Tasks Ultra8x | tasks | ₽298 080/вызов |
Текст и чат
оплата за токены · 256
▼
Текст и чат
оплата за токены · 256
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.50/M | ₽0.50/M | ₽10 |
| Pplx Embed Context V1 0.6b | pplx embed context v1 0.6b | ₽0.99/M | ₽0.99/M | ₽20 |
| text embedding 3 small | openai | ₽2.48/M | ₽2.48/M | ₽50 |
| mistralai · mistral-nemo | mistralai | ₽2.48/M | ₽3.73/M | ₽68 |
| pplx embed v1 4b | pplx embed v1 4b | ₽3.73/M | ₽3.73/M | ₽75 |
| llama 3.1 8b | llama 3.1 8b | ₽2.48/M | ₽6.21/M | ₽81 |
| Pplx Embed Context V1 4b | pplx embed context v1 4b | ₽6.21/M | ₽6.21/M | ₽124 |
| gpt oss 20b | openai | ₽3.60/M | ₽17.39/M | ₽159 |
| qwen 2.5 7b instruct | qwen | ₽4.97/M | ₽12.42/M | ₽161 |
| Amazon Nova Micro | nova micro | ₽4.35/M | ₽17.39/M | ₽174 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽6.21/M | ₽9.94/M | ₽174 |
| gemma 3 12b it | ₽4.97/M | ₽16.15/M | ₽180 | |
| Command R7B (12-2024) | cohere | ₽4.66/M | ₽18.63/M | ₽186 |
| Gemma 3 4B It | gemma 3 4b it | ₽6.21/M | ₽12.42/M | ₽186 |
| Llama 3.2 1B Preview | meta llama | ₽3.35/M | ₽24.96/M | ₽192 |
| qwen3.5 9b | qwen | ₽4.97/M | ₽18.63/M | ₽193 |
| YandexGPT Embeddings | yandex embeddings | ₽10.10/M | ₽10.10/M | ₽202 |
| gpt oss 120b | openai | ₽4.84/M | ₽22.36/M | ₽209 |
| Gemma 3n E4B It | gemma 3n e4b it | ₽7.45/M | ₽14.90/M | ₽224 |
| qwen3 235b a22b 2507 | qwen | ₽8.82/M | ₽12.42/M | ₽238 |
| qwen3 30b a3b instruct 2507 | qwen | ₽5.98/M | ₽23.98/M | ₽239 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽6.21/M | ₽24.84/M | ₽248 |
| Phi 4 | Microsoft | ₽8.07/M | ₽17.39/M | ₽248 |
| Nova Lite | amazon | ₽7.45/M | ₽29.81/M | ₽298 |
| gemma 3 27b it | ₽9.94/M | ₽19.87/M | ₽298 | |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽9.31/M | ₽24.84/M | ₽310 |
| mistralai · ministral-3b-2512 | mistralai | ₽12.42/M | ₽12.42/M | ₽311 |
| qwen3 235b a22b | qwen | ₽12.42/M | ₽12.42/M | ₽311 |
| deepseek v4 flash | deepseek | ₽10.61/M | ₽21.21/M | ₽318 |
| Qwen3.5 Flash | alibaba | ₽8.07/M | ₽32.29/M | ₽323 |
| text embedding 3 large | openai | ₽16.15/M | ₽16.15/M | ₽323 |
| Llama 3.2 3B | llama 3.2 3b | ₽6.32/M | ₽41.61/M | ₽334 |
| glm 5.3 flash | z ai | ₽9.31/M | ₽31.05/M | ₽342 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽8.69/M | ₽33.53/M | ₽342 |
| gemma 4 26b a4b it | ₽7.45/M | ₽40.99/M | ₽354 | |
| gpt oss safeguard 20b | openai | ₽9.31/M | ₽37.26/M | ₽373 |
| Seed 1.6 Flash | bytedance seed | ₽9.31/M | ₽37.26/M | ₽373 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽18.63/M | ₽18.63/M | ₽373 |
| GPT-5 Nano | gpt 5 nano | ₽6.21/M | ₽49.68/M | ₽373 |
| qwen3 8b | qwen | ₽6.21/M | ₽49.68/M | ₽373 |
| UI-TARS 7B | ByteDance | ₽12.42/M | ₽24.84/M | ₽373 |
| qwen3 32b | qwen | ₽9.94/M | ₽34.78/M | ₽373 |
| Llama 4 Scout | llama 4 scout | ₽9.94/M | ₽37.26/M | ₽385 |
| glm 4.7 flash | z ai | ₽7.45/M | ₽49.68/M | ₽397 |
| qwen3 14b | qwen | ₽12.42/M | ₽29.81/M | ₽397 |
| Voxtral Small 24B 2507 | mistralai | ₽12.42/M | ₽37.26/M | ₽435 |
| Llama 3.3 70B | llama 3.3 70b | ₽12.42/M | ₽39.74/M | ₽447 |
| mistralai · ministral-8b-2512 | mistralai | ₽18.63/M | ₽18.63/M | ₽466 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽12.42/M | ₽49.68/M | ₽497 |
| gpt 4.1 nano | openai | ₽12.42/M | ₽49.68/M | ₽497 |
| Llama 3.3 Nemotron Super 49B V1.5 | nvidia | ₽12.42/M | ₽49.68/M | ₽497 |
| Seed-2.0-Mini | bytedance seed | ₽12.42/M | ₽49.68/M | ₽497 |
| Gemini Embedding 2 | gemini embedding 2 | ₽24.84/M | ₽24.84/M | ₽497 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽11.18/M | ₽55.89/M | ₽503 |
| qwen3 30b a3b | qwen | ₽11.18/M | ₽55.89/M | ₽503 |
| qwen3 vl 8b instruct | qwen | ₽9.94/M | ₽62.10/M | ₽509 |
| qwen3 vl 32b instruct | qwen | ₽12.92/M | ₽51.67/M | ₽517 |
| mimo v2.5 | mimo v2.5 | ₽17.39/M | ₽34.78/M | ₽522 |
| gemma 4 31b it | ₽14.90/M | ₽45.95/M | ₽528 | |
| llama guard 4 12b | meta llama | ₽22.36/M | ₽22.36/M | ₽559 |
| mistralai · ministral-14b-2512 | mistralai | ₽24.84/M | ₽24.84/M | ₽621 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽16.15/M | ₽64.58/M | ₽646 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.11/M | ₽96.88/M | ₽727 |
| Command R | command r | ₽18.63/M | ₽74.52/M | ₽745 |
| GPT-4o Mini | gpt 4o mini | ₽18.63/M | ₽74.52/M | ₽745 |
| Llama 4 Maverick | llama 4 maverick | ₽18.63/M | ₽74.52/M | ₽745 |
| Small 4 | mistralai | ₽18.63/M | ₽74.52/M | ₽745 |
| gemini 2.5 flash image | ₽37.26/M | — | ₽745 | |
| llama 3.2 11b vision:free | meta llama | ₽30.43/M | ₽30.43/M | ₽761 |
| qwen3 coder next | qwen | ₽14.90/M | ₽99.36/M | ₽795 |
| Grok 4.1 Fast Non Reasoning | xai | ₽24.84/M | ₽62.10/M | ₽807 |
| glm 4.5 air | z ai | ₽15.53/M | ₽106/M | ₽838 |
| deepseek v3.2 | deepseek | ₽31.30/M | ₽46.95/M | ₽861 |
| mistralai · mistral-saba | mistralai | ₽24.84/M | ₽74.52/M | ₽869 |
| Qwen2.5 Coder 7B Instruct AWQ | alibaba qwen2 5 coder 7b instruct awq | ₽35.00/M | ₽35.00/M | ₽875 |
| qwen3.5 35b a3b | qwen | ₽17.39/M | ₽124/M | ₽969 |
| qwen3.6 35b a3b | qwen | ₽17.39/M | ₽124/M | ₽969 |
| deepseek chat v3.1 | deepseek | ₽26.08/M | ₽98.12/M | ₽1 012 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽24.84/M | ₽109/M | ₽1 043 |
| gpt 5.6 luna | openai | ₽21.60/M | ₽130/M | ₽1 080 |
| minimax m2.5 | minimax | ₽18.63/M | ₽143/M | ₽1 087 |
| qwen2.5 vl 72b instruct | qwen | ₽31.05/M | ₽93.15/M | ₽1 087 |
| qwen3 coder flash | qwen | ₽24.22/M | ₽121/M | ₽1 090 |
| Qwen Plus | qwen plus | ₽32.29/M | ₽96.88/M | ₽1 130 |
| DeepSeek Chat (V3) | deepseek chat | ₽28.42/M | ₽114/M | ₽1 136 |
| qwen 2.5 72b instruct | qwen | ₽44.71/M | ₽49.68/M | ₽1 143 |
| qwen3.6 flash | qwen | ₽23.29/M | ₽140/M | ₽1 164 |
| minimax 01 | minimax | ₽24.84/M | ₽137/M | ₽1 180 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽43.59/M | ₽68.93/M | ₽1 217 |
| Gemini 2.5 Flash Native Audio Latest | gemini 2.5 flash native audio latest | ₽62.10/M | ₽62.10/M | ₽1 242 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽62.10/M | ₽62.10/M | ₽1 242 |
| Gemini 3 Flash | gemini 3 flash | ₽62.10/M | ₽62.10/M | ₽1 242 |
| Llama 3.1 70B | llama 3.1 70b | ₽49.68/M | ₽49.68/M | ₽1 242 |
| minimax m2 | minimax | ₽31.67/M | ₽124/M | ₽1 254 |
| deepseek v3.1 terminus | deepseek | ₽33.53/M | ₽118/M | ₽1 261 |
| gpt 5.4 nano | openai | ₽24.84/M | ₽155/M | ₽1 273 |
| glm 4.6v | z ai | ₽37.26/M | ₽112/M | ₽1 304 |
| mistralai · codestral-2508 | mistralai | ₽37.26/M | ₽112/M | ₽1 304 |
| minimax m2.1 | minimax | ₽36.02/M | ₽118/M | ₽1 310 |
| minimax m2.7 | minimax | ₽32.29/M | ₽149/M | ₽1 391 |
| qwen3.5 27b | qwen | ₽24.22/M | ₽194/M | ₽1 453 |
| minimax m2 her | minimax | ₽37.26/M | ₽149/M | ₽1 490 |
| minimax m3 | minimax | ₽37.26/M | ₽149/M | ₽1 490 |
| gemini 3.1 flash lite | ₽31.05/M | ₽186/M | ₽1 553 | |
| qwen3.5 plus | qwen3.5 plus | ₽32.29/M | ₽194/M | ₽1 615 |
| mimo v2.5 pro | mimo v2.5 pro | ₽54.03/M | ₽108/M | ₽1 621 |
| Gigachat 2 Lite | gigachat 2 lite | ₽65.00/M | ₽65.00/M | ₽1 625 |
| qwen3 coder | qwen | ₽27.32/M | ₽224/M | ₽1 664 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽52.16/M | ₽155/M | ₽1 820 |
| codex mini | codex mini | ₽31.05/M | ₽248/M | ₽1 863 |
| gpt 5.1 codex mini | openai | ₽31.05/M | ₽248/M | ₽1 863 |
| GPT-5 Mini | gpt 5 mini | ₽31.05/M | ₽248/M | ₽1 863 |
| Seed 1.6 | bytedance seed | ₽31.05/M | ₽248/M | ₽1 863 |
| Seed-2.0-Lite | bytedance seed | ₽31.05/M | ₽248/M | ₽1 863 |
| gemini 3.1 flash live preview | gemini 3.1 flash live preview | ₽93.15/M | ₽93.15/M | ₽1 863 |
| WizardLM-2 8x22B | microsoft | ₽77.00/M | ₽77.00/M | ₽1 925 |
| qwen3.5 122b a10b | qwen | ₽32.29/M | ₽258/M | ₽1 938 |
| gpt 4.1 mini | openai | ₽49.68/M | ₽199/M | ₽1 987 |
| gemma 2 27b it | ₽80.73/M | ₽80.73/M | ₽2 018 | |
| qwen3.6 plus | qwen | ₽40.37/M | ₽242/M | ₽2 018 |
| glm 4.7 | z ai | ₽49.68/M | ₽217/M | ₽2 080 |
| glm 4.6 | z ai | ₽53.41/M | ₽216/M | ₽2 149 |
| deepseek v4 pro | deepseek | ₽71.92/M | ₽144/M | ₽2 158 |
| Kimi K2.5 | kimi k2.5 | ₽49.68/M | ₽236/M | ₽2 173 |
| gpt 3.5 turbo | openai | ₽62.10/M | ₽186/M | ₽2 174 |
| Large 3 2512 | mistralai | ₽62.10/M | ₽186/M | ₽2 174 |
| deepseek r1 distill llama 70b | deepseek | ₽86.94/M | ₽99.36/M | ₽2 236 |
| mistralai · devstral-2512 | mistralai | ₽49.68/M | ₽248/M | ₽2 236 |
| mistralai · mistral-medium-3 | mistralai | ₽49.68/M | ₽248/M | ₽2 236 |
| mistralai · mistral-medium-3.1 | mistralai | ₽49.68/M | ₽248/M | ₽2 236 |
| qwen 2.5 coder 32b instruct | qwen | ₽81.97/M | ₽124/M | ₽2 260 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽37.26/M | ₽311/M | ₽2 298 |
| gemini 3.5 flash lite | ₽37.26/M | ₽311/M | ₽2 298 | |
| Nova 2 Lite | amazon | ₽37.26/M | ₽311/M | ₽2 298 |
| minimax m1 | minimax | ₽49.68/M | ₽273/M | ₽2 360 |
| qwen3.5 397b a17b | qwen | ₽48.44/M | ₽291/M | ₽2 422 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽124/M | ₽124/M | ₽2 484 |
| Gemini 3.1 Flash TTS | ₽124/M | ₽124/M | ₽2 484 | |
| DeepSeek R1 | deepseek r1 | ₽62.10/M | ₽267/M | ₽2 577 |
| glm 4.5v | z ai | ₽74.52/M | ₽224/M | ₽2 608 |
| qwen3.6 27b | qwen | ₽36.02/M | ₽397/M | ₽2 708 |
| GLM-5 | glm 5 | ₽74.52/M | ₽258/M | ₽2 782 |
| Kimi K2 | kimi k2 | ₽70.79/M | ₽286/M | ₽2 844 |
| glm 4.5 | z ai | ₽74.52/M | ₽273/M | ₽2 857 |
| gpt audio mini | openai | ₽74.52/M | ₽298/M | ₽2 981 |
| aliceai llm flash | yandex | ₽100/M | ₽200/M | ₽3 000 |
| Sonar | perplexity | ₽124/M | ₽124/M | ₽3 105 |
| qwen3 coder plus | qwen | ₽80.73/M | ₽404/M | ₽3 633 |
| grok build 0.1 | x ai | ₽124/M | ₽248/M | ₽3 726 |
| kimi k2.6 | moonshotai | ₽84.95/M | ₽425/M | ₽3 823 |
| Nova Pro | amazon | ₽99.36/M | ₽397/M | ₽3 974 |
| kimi k2.7 code | moonshotai | ₽93.15/M | ₽435/M | ₽4 036 |
| gpt 5.4 mini | openai | ₽81.00/M | ₽486/M | ₽4 050 |
| gemini 3.6 flash | ₽93.15/M | ₽466/M | ₽4 192 | |
| gemini 3.7 flash | ₽93.15/M | ₽466/M | ₽4 192 | |
| glm 5.1 | z ai | ₽122/M | ₽383/M | ₽4 347 |
| Qwen3 Max | qwen3 max | ₽96.88/M | ₽484/M | ₽4 359 |
| grok 4.20 | x ai | ₽155/M | ₽311/M | ₽4 658 |
| Grok 4.20 Non Reasoning | xai | ₽155/M | ₽311/M | ₽4 658 |
| Grok 4.20 Reasoning | xai | ₽155/M | ₽311/M | ₽4 658 |
| grok 4.3 | x ai | ₽155/M | ₽311/M | ₽4 658 |
| gemini 3 pro image | ₽248/M | — | ₽4 968 | |
| YandexGPT Lite | yandexgpt lite | ₽200/M | ₽200/M | ₽5 000 |
| Qwen2.5 32B Instruct FP8 Dynamic | alibaba qwen2 5 32b instruct fp8 dynamic | ₽213/M | ₽213/M | ₽5 313 |
| qwen3.7 max | qwen | ₽155/M | ₽466/M | ₽5 434 |
| glm 5 turbo | z ai | ₽149/M | ₽497/M | ₽5 465 |
| glm 5v turbo | z ai | ₽149/M | ₽497/M | ₽5 465 |
| O3 Mini | o3 mini | ₽137/M | ₽546/M | ₽5 465 |
| o3 mini high | openai | ₽137/M | ₽546/M | ₽5 465 |
| O4 Mini | o4 mini | ₽137/M | ₽546/M | ₽5 465 |
| o4 mini high | openai | ₽137/M | ₽546/M | ₽5 465 |
| glm 5.2 | z ai | ₽149/M | ₽509/M | ₽5 527 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽124/M | ₽621/M | ₽5 589 |
| gemini robotics er 1.6 preview | gemini robotics er 1.6 preview | ₽124/M | ₽621/M | ₽5 589 |
| glm 5.3 | z ai | ₽174/M | ₽546/M | ₽6 210 |
| Qwen3.6 Max | qwen3.6 max | ₽129/M | ₽775/M | ₽6 458 |
| gpt 5 image mini | openai | ₽311/M | ₽248/M | ₽7 452 |
| mistralai · mistral-medium-3-5 | mistralai | ₽186/M | ₽932/M | ₽8 384 |
| grok 4.20 multi agent | x ai | ₽248/M | ₽745/M | ₽8 694 |
| grok 4.5 | x ai | ₽248/M | ₽745/M | ₽8 694 |
| grok 4.6 | grok 4.6 | ₽248/M | ₽745/M | ₽8 694 |
| Mistral Large 2407 | Mistral large 2407 | ₽248/M | ₽745/M | ₽8 694 |
| mistralai · mistral-large | mistralai | ₽248/M | ₽745/M | ₽8 694 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽248/M | ₽745/M | ₽8 694 |
| Gemini 2.5 Computer Use Preview | gemini 2.5 computer use preview | ₽155/M | ₽1 242/M | ₽9 315 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽155/M | ₽1 242/M | ₽9 315 |
| gemini 3.5 flash | ₽186/M | ₽1 118/M | ₽9 315 | |
| gpt 5 chat | gpt 5 chat | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5 codex | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5 search api | gpt 5 search api | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5.1 | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5.1 codex | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 5.1 codex max | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| GPT-5 | gpt 5 | ₽155/M | ₽1 242/M | ₽9 315 |
| GPT-5.1 Chat | openai | ₽155/M | ₽1 242/M | ₽9 315 |
| gpt 3.5 turbo 16k | openai | ₽373/M | ₽497/M | ₽9 936 |
| gpt 4.1 | openai | ₽248/M | ₽994/M | ₽9 936 |
| Jamba Large 1.7 | ai21 | ₽248/M | ₽994/M | ₽9 936 |
| O3 | o3 | ₽248/M | ₽994/M | ₽9 936 |
| o4 Mini Deep Research | openai | ₽248/M | ₽994/M | ₽9 936 |
| sonar deep research | perplexity | ₽248/M | ₽994/M | ₽9 936 |
| sonar reasoning pro | perplexity | ₽248/M | ₽994/M | ₽9 936 |
| gemini 3.1 pro | ₽216/M | ₽1 296/M | ₽10 800 | |
| gpt 5.6 terra | openai | ₽216/M | ₽1 296/M | ₽10 800 |
| claude sonnet 5 | anthropic | ₽248/M | ₽1 242/M | ₽11 178 |
| 3 Pi | inflection | ₽311/M | ₽1 242/M | ₽12 420 |
| 3 Productivity | inflection | ₽311/M | ₽1 242/M | ₽12 420 |
| Cohere Command A | cohere command a | ₽311/M | ₽1 242/M | ₽12 420 |
| Command R Plus | command r plus | ₽311/M | ₽1 242/M | ₽12 420 |
| gemini 3.1 pro preview customtools | ₽248/M | ₽1 490/M | ₽12 420 | |
| gpt audio | openai | ₽311/M | ₽1 242/M | ₽12 420 |
| gpt image 1 | openai | ₽621/M | — | ₽12 420 |
| gpt image 1.5 | openai | ₽621/M | — | ₽12 420 |
| gpt image 2 | gpt image 2 | ₽621/M | — | ₽12 420 |
| GPT-4o | gpt 4o | ₽311/M | ₽1 242/M | ₽12 420 |
| gigachat 2 pro | gigachat 2 pro | ₽500/M | ₽500/M | ₽12 500 |
| gpt 5.2 | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| gpt 5.2 chat | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| gpt 5.2 codex | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| gpt 5.3 codex | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| GPT-5.3 Chat | openai | ₽217/M | ₽1 739/M | ₽13 041 |
| gpt 5.4 | openai | ₽270/M | ₽1 620/M | ₽13 500 |
| Nova Premier 1.0 | amazon | ₽311/M | ₽1 553/M | ₽13 972 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽324/M | ₽1 620/M | ₽14 580 |
| Computer Use Preview | computer use preview | ₽373/M | ₽1 490/M | ₽14 904 |
| Alice AI LLM | aliceai llm | ₽500/M | ₽1 200/M | ₽16 000 |
| gigachat 2 max | gigachat 2 max | ₽650/M | ₽650/M | ₽16 250 |
| Claude Sonnet 4 | claude sonnet 4 | ₽373/M | ₽1 863/M | ₽16 767 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽373/M | ₽1 863/M | ₽16 767 |
| kimi k3 | moonshotai | ₽373/M | ₽1 863/M | ₽16 767 |
| sonar pro | perplexity | ₽373/M | ₽1 863/M | ₽16 767 |
| gpt realtime | gpt realtime | ₽497/M | ₽1 987/M | ₽19 872 |
| yandexgpt · rc | yandex | ₽800/M | ₽800/M | ₽20 000 |
| Claude Opus 4.6 | claude opus 4 6 | ₽540/M | ₽2 700/M | ₽24 300 |
| Claude Opus 4.7 | claude opus 4 7 | ₽540/M | ₽2 700/M | ₽24 300 |
| claude opus 4.8 | anthropic | ₽540/M | ₽2 700/M | ₽24 300 |
| claude opus 5 | anthropic | ₽540/M | ₽2 700/M | ₽24 300 |
| gpt 5.5 | openai | ₽540/M | ₽3 240/M | ₽27 000 |
| gpt 5.6 sol | openai | ₽540/M | ₽3 240/M | ₽27 000 |
| Claude Opus 4.5 | claude opus 4 5 | ₽621/M | ₽3 105/M | ₽27 945 |
| GPT-5.4 Image 2 | openai | ₽994/M | ₽1 863/M | ₽29 187 |
| yandexgpt-pro | yandexgpt | ₽1 200/M | ₽1 200/M | ₽30 000 |
| GPT Chat | gpt chat latest | ₽621/M | ₽3 726/M | ₽31 050 |
| gpt 5 image | openai | ₽1 242/M | ₽1 242/M | ₽31 050 |
| gpt 4 turbo | openai | ₽1 242/M | ₽3 726/M | ₽43 470 |
| O3 Deep Research | o3 deep research | ₽1 242/M | ₽4 968/M | ₽49 680 |
| claude fable 5 | anthropic | ₽1 242/M | ₽6 210/M | ₽55 890 |
| O1 | o1 | ₽1 863/M | ₽7 452/M | ₽74 520 |
| Claude Opus 4 | claude opus 4 | ₽1 863/M | ₽9 315/M | ₽83 835 |
| o3 pro | openai | ₽2 484/M | ₽9 936/M | ₽99 360 |
| gpt 5 pro | openai | ₽1 863/M | ₽14 904/M | ₽111 780 |
| gpt 4 | openai | ₽3 726/M | ₽7 452/M | ₽111 780 |
| gpt 5.2 pro | openai | ₽2 608/M | ₽20 866/M | ₽156 492 |
| gpt 5.4 pro | openai | ₽3 726/M | ₽22 356/M | ₽186 300 |
| gpt 5.5 pro | openai | ₽3 726/M | ₽22 356/M | ₽186 300 |
| o1 pro | openai | ₽18 630/M | ₽74 520/M | ₽745 200 |
Видео и аудио
за секунду · 6
▼
Видео и аудио
за секунду · 6
| Модель | Maker | Цена |
|---|---|---|
| photo_avatar | photo_avatar | ₽6.21/сек |
| Veo 3.1 Lite | ₽6.21/сек | |
| digital_twin | digital_twin | ₽8.28/сек |
| studio_avatar | studio_avatar | ₽8.28/сек |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽12.42/сек |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽49.68/сек |
За запрос
фиксированная цена за вызов · 22
▼
За запрос
фиксированная цена за вызов · 22
| Модель | Maker | Цена |
|---|---|---|
| Manus Credits | manus credits | ₽1.24/вызов |
| FindAll Preview | findAll | ₽12.42/вызов |
| FindAll Base | findAll | ₽31.05/вызов |
| Extract | extract | ₽124/вызов |
| FindAll Core | findAll | ₽248/вызов |
| Monitor Lite | monitor | ₽373/вызов |
| Chat Lite | chat | ₽621/вызов |
| Chat Speed | chat | ₽621/вызов |
| Search | search | ₽621/вызов |
| Tasks Lite | tasks | ₽621/вызов |
| Chat Base | chat | ₽1 242/вызов |
| FindAll Pro | findAll | ₽1 242/вызов |
| Monitor Base | monitor | ₽1 242/вызов |
| Tasks Base | tasks | ₽1 242/вызов |
| Chat Core | chat | ₽3 105/вызов |
| Tasks Core | tasks | ₽3 105/вызов |
| Tasks Core2x | tasks | ₽6 210/вызов |
| Tasks Pro | tasks | ₽12 420/вызов |
| Tasks Ultra | tasks | ₽37 260/вызов |
| Tasks Ultra2x | tasks | ₽74 520/вызов |
| Tasks Ultra4x | tasks | ₽149 040/вызов |
| Tasks Ultra8x | tasks | ₽298 080/вызов |
О провайдере
О сервисе
Caila — продукт Just AI (ООО «Маинд Крафт») для разработчиков в России: один ключ вместо десятков кабинетов вендоров. Удобен, если нужны свежие Claude/GPT в Cursor или Claude Code с оплатой в рублях.
Как сравнивать на AI-APISHKA
Сравнивайте рубли за миллион токенов с ProxyAPI, Neurly и VseGPT на тех же Claude/GPT. Если нужен только узкий набор флагманов дешевле — смотрите ClaudeHub и JustCode.
Частые вопросы
- Какой адрес API?
- https://caila.io/api/adapters/openai — для OpenAI SDK и большинства coding-агентов.
- Нужен ли VPN?
- Нет, сервис рассчитан на работу из России.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
Caila предлагает 285 моделей AI API. Средняя цена — ₽482/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.50/M (pplx-embed-v1-0.6b).
Сравните цены на Manus Credits , photo_avatar , Veo 3.1 Lite , digital_twin и studio_avatar у других провайдеров или в каталоге агрегаторов . Данные обновлены 30.08.2026.