AgentPlatform
Сайт ↗LLM-шлюз + n8n и Supabase: AI-инфраструктура для РФ
- Моделей
- 234
- Средняя цена
- ₽503/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽), Безнал для юрлиц
- Биллинг
- за токены
- API
- OpenAI-compatible
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 = 82.9977 ₽ · 1 CNY = 12.278 ₽ · 13.08.2026
233 моделей
Текст и чат
оплата за токены · 230
▼
Текст и чат
оплата за токены · 230
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽2.16/M | — | ₽43 |
| mistralai · mistral-nemo | mistralai | ₽2.16/M | ₽4.32/M | ₽65 |
| gpt oss 20b | openai | ₽3.24/M | ₽14.04/M | ₽135 |
| qwen 2.5 7b instruct | qwen | ₽4.32/M | ₽10.80/M | ₽140 |
| Llama 3.1 8B | llama 3.1 8b | ₽5.40/M | ₽8.64/M | ₽151 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽5.40/M | ₽8.64/M | ₽151 |
| llama 3.2 1b:free | meta llama | ₽2.92/M | ₽21.71/M | ₽167 |
| gpt oss 120b | openai | ₽4.00/M | ₽18.36/M | ₽172 |
| gemma 3 12b it | ₽5.40/M | ₽16.20/M | ₽189 | |
| gemma 3n e4b it | ₽6.48/M | ₽12.96/M | ₽194 | |
| Text Embedding ADA | text embedding ada | ₽10.80/M | — | ₽216 |
| text embeddings · latest | yandex | ₽12.12/M | — | ₽242 |
| text embeddings · rc | yandex | ₽12.12/M | — | ₽242 |
| text embeddings v2 doc · latest | yandex | ₽12.12/M | — | ₽242 |
| text embeddings v2 query · latest | yandex | ₽12.12/M | — | ₽242 |
| mistralai · ministral-3b-2512 | mistralai | ₽10.80/M | ₽10.80/M | ₽270 |
| Qwen3.5 Flash | alibaba | ₽7.02/M | ₽28.08/M | ₽281 |
| text embedding 3 large | openai | ₽14.04/M | — | ₽281 |
| Llama 3.2 3B | llama 3.2 3b | ₽5.40/M | ₽35.64/M | ₽286 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽7.56/M | ₽29.16/M | ₽297 |
| qwen3.5 9b | qwen | ₽10.80/M | ₽16.20/M | ₽297 |
| deepseek v4 flash | deepseek | ₽10.58/M | ₽21.17/M | ₽317 |
| gpt oss safeguard 20b | openai | ₽8.10/M | ₽32.40/M | ₽324 |
| GPT-5 Nano | gpt 5 nano | ₽5.40/M | ₽43.20/M | ₽324 |
| qwen3 32b | qwen | ₽8.64/M | ₽30.24/M | ₽324 |
| glm 4.7 flash | z ai | ₽6.48/M | ₽43.20/M | ₽346 |
| qwen3 14b | qwen | ₽10.80/M | ₽25.92/M | ₽346 |
| cloudru · ai-sage · GigaChat3-10B-A1.8B | cloudru | ₽14.64/M | ₽14.64/M | ₽366 |
| gemma 4 26b a4b it | ₽10.80/M | ₽32.40/M | ₽378 | |
| Llama 4 Scout | llama 4 scout | ₽10.80/M | ₽32.40/M | ₽378 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽10.80/M | ₽32.40/M | ₽378 |
| qwen3 30b a3b instruct 2507 | qwen | ₽10.80/M | ₽32.40/M | ₽378 |
| mistralai · ministral-8b-2512 | mistralai | ₽16.20/M | ₽16.20/M | ₽405 |
| gemma 3 27b it | ₽8.64/M | ₽48.60/M | ₽416 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽10.80/M | ₽43.20/M | ₽432 |
| gpt 4.1 nano | openai | ₽10.80/M | ₽43.20/M | ₽432 |
| qwen3 vl 32b instruct | qwen | ₽11.23/M | ₽44.93/M | ₽449 |
| llama guard 4 12b | meta llama | ₽19.44/M | ₽19.44/M | ₽486 |
| qwen3 235b a22b 2507 | qwen | ₽9.72/M | ₽59.40/M | ₽491 |
| Llama 3.3 70B | llama 3.3 70b | ₽14.04/M | ₽43.20/M | ₽497 |
| qwen3 8b | qwen | ₽12.64/M | ₽49.14/M | ₽499 |
| qwen3 vl 8b instruct | qwen | ₽12.64/M | ₽49.14/M | ₽499 |
| qwen3 30b a3b | qwen | ₽12.96/M | ₽54.00/M | ₽529 |
| mistralai · ministral-14b-2512 | mistralai | ₽21.60/M | ₽21.60/M | ₽540 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽14.04/M | ₽56.16/M | ₽562 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽10.53/M | ₽84.24/M | ₽632 |
| gpt 4o mini tts | openai | ₽16.20/M | ₽64.80/M | ₽648 |
| GPT-4o Mini | gpt 4o mini | ₽16.20/M | ₽64.80/M | ₽648 |
| cloudru · deepseek-ai · DeepSeek-V4-Flash | cloudru | ₽22.24/M | ₽44.49/M | ₽667 |
| cloudru · Qwen · Qwen3-30B-A3B | cloudru | ₽16.69/M | ₽66.73/M | ₽667 |
| qwen3 coder next | qwen | ₽11.88/M | ₽86.40/M | ₽670 |
| glm 4.5 air | z ai | ₽14.04/M | ₽91.80/M | ₽740 |
| cloudru · openai · gpt-oss-120b | cloudru | ₽19.03/M | ₽73.20/M | ₽747 |
| mistralai · mistral-saba | mistralai | ₽21.60/M | ₽64.80/M | ₽756 |
| gemma 4 31b it | ₽23.76/M | ₽59.40/M | ₽772 | |
| deepseek v3.2 | deepseek | ₽29.05/M | ₽43.20/M | ₽797 |
| minimax m2.5 | minimax | ₽16.20/M | ₽97.20/M | ₽810 |
| qwen3.5 35b a3b | qwen | ₽15.12/M | ₽108/M | ₽842 |
| qwen3.6 35b a3b | qwen | ₽15.12/M | ₽108/M | ₽842 |
| Llama 4 Maverick | llama 4 maverick | ₽21.60/M | ₽86.40/M | ₽864 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.62/M | ₽86.41/M | ₽864 |
| qwen3 coder flash | qwen | ₽21.06/M | ₽105/M | ₽948 |
| Qwen Plus | qwen plus | ₽28.08/M | ₽84.24/M | ₽983 |
| qwen 2.5 72b instruct | qwen | ₽38.88/M | ₽43.20/M | ₽994 |
| qwen3.6 flash | qwen | ₽20.25/M | ₽122/M | ₽1 012 |
| minimax 01 | minimax | ₽21.60/M | ₽119/M | ₽1 026 |
| deepseek chat v3.1 | deepseek | ₽27.00/M | ₽103/M | ₽1 053 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽37.91/M | ₽59.94/M | ₽1 058 |
| llama 3.1 70b | llama 3.1 70b | ₽43.20/M | ₽43.20/M | ₽1 080 |
| minimax m2 | minimax | ₽27.54/M | ₽110/M | ₽1 102 |
| gpt 5.4 nano | openai | ₽21.60/M | ₽135/M | ₽1 107 |
| deepseek v3.1 terminus | deepseek | ₽29.16/M | ₽108/M | ₽1 123 |
| glm 4.6v | z ai | ₽32.40/M | ₽97.20/M | ₽1 134 |
| mistralai · codestral-2508 | mistralai | ₽32.40/M | ₽97.20/M | ₽1 134 |
| qwen3 coder | qwen | ₽32.40/M | ₽108/M | ₽1 188 |
| qwen3.5 27b | qwen | ₽21.06/M | ₽168/M | ₽1 264 |
| minimax m2 her | minimax | ₽32.40/M | ₽130/M | ₽1 296 |
| minimax m2.1 | minimax | ₽32.40/M | ₽130/M | ₽1 296 |
| minimax m2.7 | minimax | ₽32.40/M | ₽130/M | ₽1 296 |
| minimax m3 | minimax | ₽32.40/M | ₽130/M | ₽1 296 |
| gemini 3.1 flash lite | ₽27.00/M | ₽162/M | ₽1 350 | |
| gemini 3.1 flash lite image | ₽27.00/M | ₽162/M | ₽1 350 | |
| qwen3.7 plus | qwen | ₽34.56/M | ₽138/M | ₽1 382 |
| deepseek v4 pro | deepseek | ₽46.98/M | ₽93.96/M | ₽1 409 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽22.68/M | ₽205/M | ₽1 480 |
| gpt 5.1 codex mini | openai | ₽27.00/M | ₽216/M | ₽1 620 |
| GPT-5 Mini | gpt 5 mini | ₽27.00/M | ₽216/M | ₽1 620 |
| qwen3.5 122b a10b | qwen | ₽28.08/M | ₽225/M | ₽1 685 |
| gpt 4.1 mini | openai | ₽43.20/M | ₽173/M | ₽1 728 |
| qwen3.6 plus | qwen | ₽35.10/M | ₽211/M | ₽1 755 |
| gemma 2 27b it | ₽70.20/M | ₽70.20/M | ₽1 755 | |
| cloudru · deepseek-ai · DeepSeek-V3 | cloudru | ₽44.49/M | ₽178/M | ₽1 780 |
| cloudru · meituan-longcat · LongCat-Flash-Chat | cloudru | ₽44.49/M | ₽178/M | ₽1 780 |
| cloudru · Qwen · Qwen3-32B | cloudru | ₽44.49/M | ₽178/M | ₽1 780 |
| glm 4.7 | z ai | ₽43.20/M | ₽189/M | ₽1 809 |
| gpt 3.5 turbo | openai | ₽54.00/M | ₽162/M | ₽1 890 |
| mistralai · devstral-2512 | mistralai | ₽43.20/M | ₽216/M | ₽1 944 |
| mistralai · mistral-medium-3 | mistralai | ₽43.20/M | ₽216/M | ₽1 944 |
| mistralai · mistral-medium-3.1 | mistralai | ₽43.20/M | ₽216/M | ₽1 944 |
| qwen 2.5 coder 32b instruct | qwen | ₽71.28/M | ₽108/M | ₽1 966 |
| qwen3 235b a22b | qwen | ₽49.14/M | ₽197/M | ₽1 966 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽32.40/M | ₽270/M | ₽1 998 |
| gemini 2.5 flash image | ₽32.40/M | ₽270/M | ₽1 998 | |
| gemini 3.5 flash lite | ₽32.40/M | ₽270/M | ₽1 998 | |
| deepseek r1 distill llama 70b | deepseek | ₽86.40/M | ₽86.40/M | ₽2 160 |
| glm 4.6 | z ai | ₽54.00/M | ₽216/M | ₽2 160 |
| DeepSeek R1 | deepseek r1 | ₽54.00/M | ₽232/M | ₽2 241 |
| glm 4.5v | z ai | ₽64.80/M | ₽194/M | ₽2 268 |
| qwen2.5 vl 72b instruct | qwen | ₽86.40/M | ₽108/M | ₽2 268 |
| minimax m1 | minimax | ₽59.40/M | ₽238/M | ₽2 376 |
| morph · morph-v3-fast | morph | ₽86.40/M | ₽130/M | ₽2 376 |
| qwen3.6 27b | qwen | ₽48.60/M | ₽292/M | ₽2 430 |
| Kimi K2 | kimi k2 | ₽61.56/M | ₽248/M | ₽2 473 |
| glm 4.5 | z ai | ₽64.80/M | ₽238/M | ₽2 484 |
| gpt audio mini | openai | ₽64.80/M | ₽259/M | ₽2 592 |
| qwen3.5 397b a17b | qwen | ₽48.60/M | ₽324/M | ₽2 592 |
| Gemini 3 Flash | gemini 3 flash | ₽54.00/M | ₽324/M | ₽2 700 |
| gemini 3.1 flash image | ₽54.00/M | ₽324/M | ₽2 700 | |
| Sonar | perplexity | ₽108/M | ₽108/M | ₽2 700 |
| Kimi K2.5 | kimi k2.5 | ₽61.56/M | ₽308/M | ₽2 770 |
| morph · morph-v3-large | morph | ₽97.20/M | ₽205/M | ₽2 970 |
| cloudru · deepseek-ai · DeepSeek-V3.1-Terminus | cloudru | ₽88.97/M | ₽267/M | ₽3 114 |
| qwen3 coder plus | qwen | ₽70.20/M | ₽351/M | ₽3 159 |
| grok build 0.1 | x ai | ₽108/M | ₽216/M | ₽3 240 |
| kimi k2.7 code | moonshotai | ₽77.65/M | ₽377/M | ₽3 438 |
| cloudru · deepseek-ai · DeepSeek-R1-0528 | cloudru | ₽88.97/M | ₽356/M | ₽3 559 |
| aliceai llm flash | yandex | ₽120/M | ₽240/M | ₽3 600 |
| glm 5.2 | z ai | ₽103/M | ₽324/M | ₽3 683 |
| glm 5.1 | z ai | ₽104/M | ₽328/M | ₽3 726 |
| GLM-5 | glm 5 | ₽103/M | ₽340/M | ₽3 753 |
| Qwen3 Max | qwen3 max | ₽84.24/M | ₽421/M | ₽3 791 |
| gpt 5.4 mini | openai | ₽81.00/M | ₽486/M | ₽4 050 |
| grok 4.20 | x ai | ₽135/M | ₽270/M | ₽4 050 |
| grok 4.20 multi agent | x ai | ₽135/M | ₽270/M | ₽4 050 |
| grok 4.3 | x ai | ₽135/M | ₽270/M | ₽4 050 |
| kimi k2.6 | moonshotai | ₽103/M | ₽432/M | ₽4 212 |
| glm 5 turbo | z ai | ₽130/M | ₽432/M | ₽4 752 |
| glm 5v turbo | z ai | ₽130/M | ₽432/M | ₽4 752 |
| gpt image 1 mini | openai | ₽238/M | — | ₽4 752 |
| O3 Mini | o3 mini | ₽119/M | ₽475/M | ₽4 752 |
| o3 mini high | openai | ₽119/M | ₽475/M | ₽4 752 |
| O4 Mini | o4 mini | ₽119/M | ₽475/M | ₽4 752 |
| o4 mini high | openai | ₽119/M | ₽475/M | ₽4 752 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽108/M | ₽540/M | ₽4 860 |
| gpt 5.6 luna | openai | ₽108/M | ₽648/M | ₽5 400 |
| gpt 5.6 luna pro | openai | ₽108/M | ₽648/M | ₽5 400 |
| qwen3.7 max | qwen | ₽159/M | ₽478/M | ₽5 576 |
| Qwen3.6 Max | qwen3.6 max | ₽112/M | ₽674/M | ₽5 616 |
| cloudru · qwen · qwen3-235b-a22b | cloudru | ₽143/M | ₽574/M | ₽5 739 |
| YandexGPT 5 Lite | YandexGPT 5 Lite | ₽240/M | ₽240/M | ₽6 000 |
| YandexGPT Lite | yandexgpt lite | ₽240/M | ₽240/M | ₽6 000 |
| yandexgpt lite · rc | yandex | ₽240/M | ₽240/M | ₽6 000 |
| gpt 5 image mini | openai | ₽270/M | ₽216/M | ₽6 480 |
| cloudru · zai-org · GLM-5.2 | cloudru | ₽178/M | ₽623/M | ₽6 673 |
| cloudru · Qwen · Qwen3.6-35B-A3B | cloudru | ₽264/M | ₽395/M | ₽7 247 |
| gemini 3.6 flash | ₽162/M | ₽810/M | ₽7 290 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽162/M | ₽810/M | ₽7 290 |
| grok 4.5 | x ai | ₽216/M | ₽648/M | ₽7 560 |
| mistralai · mistral-large | mistralai | ₽216/M | ₽648/M | ₽7 560 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽216/M | ₽648/M | ₽7 560 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽135/M | ₽1 080/M | ₽8 100 |
| gemini 3.5 flash | ₽162/M | ₽972/M | ₽8 100 | |
| gpt 5 chat | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5 codex | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5.1 | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5.1 chat | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5.1 codex | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5.1 codex max | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| GPT-5 | gpt 5 | ₽135/M | ₽1 080/M | ₽8 100 |
| cloudru · moonshotai · Kimi-K2.6 | cloudru | ₽211/M | ₽871/M | ₽8 572 |
| gpt 3.5 turbo 16k | openai | ₽324/M | ₽432/M | ₽8 640 |
| gpt 4.1 | openai | ₽216/M | ₽864/M | ₽8 640 |
| O3 | o3 | ₽216/M | ₽864/M | ₽8 640 |
| o4 mini deep research | openai | ₽216/M | ₽864/M | ₽8 640 |
| sonar deep research | perplexity | ₽216/M | ₽864/M | ₽8 640 |
| sonar reasoning pro | perplexity | ₽216/M | ₽864/M | ₽8 640 |
| cloudru · deepseek-ai · DeepSeek-V4-Pro | cloudru | ₽220/M | ₽878/M | ₽8 784 |
| claude sonnet 5 | anthropic | ₽216/M | ₽1 080/M | ₽9 720 |
| cloudru · zai-org · GLM-5.1 | cloudru | ₽239/M | ₽996/M | ₽9 750 |
| deepseek v4 flash · latest | yandex | ₽360/M | ₽600/M | ₽10 200 |
| gemini 3 pro image | ₽216/M | ₽1 296/M | ₽10 800 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽216/M | ₽1 296/M | ₽10 800 |
| gemini 3.1 pro preview customtools | ₽216/M | ₽1 296/M | ₽10 800 | |
| gpt audio | openai | ₽270/M | ₽1 080/M | ₽10 800 |
| gpt audio 1.5 | openai | ₽270/M | ₽1 080/M | ₽10 800 |
| gpt image 1 | openai | ₽540/M | — | ₽10 800 |
| gpt image 1.5 | openai | ₽540/M | — | ₽10 800 |
| GPT-4o | gpt 4o | ₽270/M | ₽1 080/M | ₽10 800 |
| gpt 5.2 | openai | ₽189/M | ₽1 512/M | ₽11 340 |
| gpt 5.2 chat | openai | ₽189/M | ₽1 512/M | ₽11 340 |
| gpt 5.3 chat | openai | ₽189/M | ₽1 512/M | ₽11 340 |
| gpt 5.3 codex | openai | ₽189/M | ₽1 512/M | ₽11 340 |
| cloudru · MiniMaxAI · MiniMax-M2.5 | cloudru | ₽425/M | ₽571/M | ₽11 346 |
| cloudru · MiniMaxAI · MiniMax-M3 | cloudru | ₽288/M | ₽1 211/M | ₽11 818 |
| gpt 5.4 | openai | ₽270/M | ₽1 620/M | ₽13 500 |
| gpt 5.6 terra | openai | ₽270/M | ₽1 620/M | ₽13 500 |
| gpt 5.6 terra pro | openai | ₽270/M | ₽1 620/M | ₽13 500 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽324/M | ₽1 620/M | ₽14 580 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽324/M | ₽1 620/M | ₽14 580 |
| kimi k3 | moonshotai | ₽324/M | ₽1 620/M | ₽14 580 |
| sonar pro | perplexity | ₽324/M | ₽1 620/M | ₽14 580 |
| Qwen3 235B A22B FP8 | qwen3 235b a22b fp8 | ₽600/M | ₽600/M | ₽15 000 |
| cloudru · GigaChat · GigaChat-2-Max | cloudru | ₽683/M | ₽683/M | ₽17 080 |
| Alice AI LLM | aliceai llm | ₽600/M | ₽1 440/M | ₽19 200 |
| yandexgpt · rc | yandex | ₽960/M | ₽960/M | ₽24 000 |
| yandexgpt 5.1 · latest | yandex | ₽960/M | ₽960/M | ₽24 000 |
| Claude Opus 4.5 | claude opus 4 5 | ₽540/M | ₽2 700/M | ₽24 300 |
| 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 |
| gpt 5.6 sol pro | openai | ₽540/M | ₽3 240/M | ₽27 000 |
| gpt 5 image | openai | ₽1 080/M | ₽1 080/M | ₽27 000 |
| cloudru · Qwen · Qwen3.5-397B-A17B | cloudru | ₽1 098/M | ₽1 303/M | ₽28 475 |
| YandexGPT 5 Pro | YandexGPT 5 Pro | ₽1 440/M | ₽1 440/M | ₽36 000 |
| yandexgpt-pro | yandexgpt | ₽1 440/M | ₽1 440/M | ₽36 000 |
| gpt 4 turbo | openai | ₽1 080/M | ₽3 240/M | ₽37 800 |
| o3 deep research | openai | ₽1 080/M | ₽4 320/M | ₽43 200 |
| claude fable 5 | anthropic | ₽1 080/M | ₽5 400/M | ₽48 600 |
| O1 | o1 | ₽1 620/M | ₽6 480/M | ₽64 800 |
| Claude Opus 4 | claude opus 4 | ₽1 620/M | ₽8 100/M | ₽72 900 |
| o3 pro | openai | ₽2 160/M | ₽8 640/M | ₽86 400 |
| gpt 5 pro | openai | ₽1 620/M | ₽12 960/M | ₽97 200 |
| gpt 4 | openai | ₽3 240/M | ₽6 480/M | ₽97 200 |
| gpt 5.2 pro | openai | ₽2 268/M | ₽18 144/M | ₽136 080 |
| gpt 5.4 pro | openai | ₽3 240/M | ₽19 440/M | ₽162 000 |
| gpt 5.5 pro | openai | ₽3 240/M | ₽19 440/M | ₽162 000 |
| o1 pro | openai | ₽16 200/M | ₽64 800/M | ₽648 000 |
Транскрипция
за минуту · 1
▼
Транскрипция
за минуту · 1
| Модель | Maker | Цена |
|---|---|---|
| whisper 1 | openai | ₽0.65/мин |
Текст и чат
оплата за токены · 230
▼
Текст и чат
оплата за токены · 230
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽2.16/M | — | ₽43 |
| mistralai · mistral-nemo | mistralai | ₽2.16/M | ₽4.32/M | ₽65 |
| gpt oss 20b | openai | ₽3.24/M | ₽14.04/M | ₽135 |
| qwen 2.5 7b instruct | qwen | ₽4.32/M | ₽10.80/M | ₽140 |
| Llama 3.1 8B | llama 3.1 8b | ₽5.40/M | ₽8.64/M | ₽151 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽5.40/M | ₽8.64/M | ₽151 |
| llama 3.2 1b:free | meta llama | ₽2.92/M | ₽21.71/M | ₽167 |
| gpt oss 120b | openai | ₽4.00/M | ₽18.36/M | ₽172 |
| gemma 3 12b it | ₽5.40/M | ₽16.20/M | ₽189 | |
| gemma 3n e4b it | ₽6.48/M | ₽12.96/M | ₽194 | |
| Text Embedding ADA | text embedding ada | ₽10.80/M | — | ₽216 |
| text embeddings · latest | yandex | ₽12.12/M | — | ₽242 |
| text embeddings · rc | yandex | ₽12.12/M | — | ₽242 |
| text embeddings v2 doc · latest | yandex | ₽12.12/M | — | ₽242 |
| text embeddings v2 query · latest | yandex | ₽12.12/M | — | ₽242 |
| mistralai · ministral-3b-2512 | mistralai | ₽10.80/M | ₽10.80/M | ₽270 |
| Qwen3.5 Flash | alibaba | ₽7.02/M | ₽28.08/M | ₽281 |
| text embedding 3 large | openai | ₽14.04/M | — | ₽281 |
| Llama 3.2 3B | llama 3.2 3b | ₽5.40/M | ₽35.64/M | ₽286 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽7.56/M | ₽29.16/M | ₽297 |
| qwen3.5 9b | qwen | ₽10.80/M | ₽16.20/M | ₽297 |
| deepseek v4 flash | deepseek | ₽10.58/M | ₽21.17/M | ₽317 |
| gpt oss safeguard 20b | openai | ₽8.10/M | ₽32.40/M | ₽324 |
| GPT-5 Nano | gpt 5 nano | ₽5.40/M | ₽43.20/M | ₽324 |
| qwen3 32b | qwen | ₽8.64/M | ₽30.24/M | ₽324 |
| glm 4.7 flash | z ai | ₽6.48/M | ₽43.20/M | ₽346 |
| qwen3 14b | qwen | ₽10.80/M | ₽25.92/M | ₽346 |
| cloudru · ai-sage · GigaChat3-10B-A1.8B | cloudru | ₽14.64/M | ₽14.64/M | ₽366 |
| gemma 4 26b a4b it | ₽10.80/M | ₽32.40/M | ₽378 | |
| Llama 4 Scout | llama 4 scout | ₽10.80/M | ₽32.40/M | ₽378 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽10.80/M | ₽32.40/M | ₽378 |
| qwen3 30b a3b instruct 2507 | qwen | ₽10.80/M | ₽32.40/M | ₽378 |
| mistralai · ministral-8b-2512 | mistralai | ₽16.20/M | ₽16.20/M | ₽405 |
| gemma 3 27b it | ₽8.64/M | ₽48.60/M | ₽416 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽10.80/M | ₽43.20/M | ₽432 |
| gpt 4.1 nano | openai | ₽10.80/M | ₽43.20/M | ₽432 |
| qwen3 vl 32b instruct | qwen | ₽11.23/M | ₽44.93/M | ₽449 |
| llama guard 4 12b | meta llama | ₽19.44/M | ₽19.44/M | ₽486 |
| qwen3 235b a22b 2507 | qwen | ₽9.72/M | ₽59.40/M | ₽491 |
| Llama 3.3 70B | llama 3.3 70b | ₽14.04/M | ₽43.20/M | ₽497 |
| qwen3 8b | qwen | ₽12.64/M | ₽49.14/M | ₽499 |
| qwen3 vl 8b instruct | qwen | ₽12.64/M | ₽49.14/M | ₽499 |
| qwen3 30b a3b | qwen | ₽12.96/M | ₽54.00/M | ₽529 |
| mistralai · ministral-14b-2512 | mistralai | ₽21.60/M | ₽21.60/M | ₽540 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽14.04/M | ₽56.16/M | ₽562 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽10.53/M | ₽84.24/M | ₽632 |
| gpt 4o mini tts | openai | ₽16.20/M | ₽64.80/M | ₽648 |
| GPT-4o Mini | gpt 4o mini | ₽16.20/M | ₽64.80/M | ₽648 |
| cloudru · deepseek-ai · DeepSeek-V4-Flash | cloudru | ₽22.24/M | ₽44.49/M | ₽667 |
| cloudru · Qwen · Qwen3-30B-A3B | cloudru | ₽16.69/M | ₽66.73/M | ₽667 |
| qwen3 coder next | qwen | ₽11.88/M | ₽86.40/M | ₽670 |
| glm 4.5 air | z ai | ₽14.04/M | ₽91.80/M | ₽740 |
| cloudru · openai · gpt-oss-120b | cloudru | ₽19.03/M | ₽73.20/M | ₽747 |
| mistralai · mistral-saba | mistralai | ₽21.60/M | ₽64.80/M | ₽756 |
| gemma 4 31b it | ₽23.76/M | ₽59.40/M | ₽772 | |
| deepseek v3.2 | deepseek | ₽29.05/M | ₽43.20/M | ₽797 |
| minimax m2.5 | minimax | ₽16.20/M | ₽97.20/M | ₽810 |
| qwen3.5 35b a3b | qwen | ₽15.12/M | ₽108/M | ₽842 |
| qwen3.6 35b a3b | qwen | ₽15.12/M | ₽108/M | ₽842 |
| Llama 4 Maverick | llama 4 maverick | ₽21.60/M | ₽86.40/M | ₽864 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.62/M | ₽86.41/M | ₽864 |
| qwen3 coder flash | qwen | ₽21.06/M | ₽105/M | ₽948 |
| Qwen Plus | qwen plus | ₽28.08/M | ₽84.24/M | ₽983 |
| qwen 2.5 72b instruct | qwen | ₽38.88/M | ₽43.20/M | ₽994 |
| qwen3.6 flash | qwen | ₽20.25/M | ₽122/M | ₽1 012 |
| minimax 01 | minimax | ₽21.60/M | ₽119/M | ₽1 026 |
| deepseek chat v3.1 | deepseek | ₽27.00/M | ₽103/M | ₽1 053 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽37.91/M | ₽59.94/M | ₽1 058 |
| llama 3.1 70b | llama 3.1 70b | ₽43.20/M | ₽43.20/M | ₽1 080 |
| minimax m2 | minimax | ₽27.54/M | ₽110/M | ₽1 102 |
| gpt 5.4 nano | openai | ₽21.60/M | ₽135/M | ₽1 107 |
| deepseek v3.1 terminus | deepseek | ₽29.16/M | ₽108/M | ₽1 123 |
| glm 4.6v | z ai | ₽32.40/M | ₽97.20/M | ₽1 134 |
| mistralai · codestral-2508 | mistralai | ₽32.40/M | ₽97.20/M | ₽1 134 |
| qwen3 coder | qwen | ₽32.40/M | ₽108/M | ₽1 188 |
| qwen3.5 27b | qwen | ₽21.06/M | ₽168/M | ₽1 264 |
| minimax m2 her | minimax | ₽32.40/M | ₽130/M | ₽1 296 |
| minimax m2.1 | minimax | ₽32.40/M | ₽130/M | ₽1 296 |
| minimax m2.7 | minimax | ₽32.40/M | ₽130/M | ₽1 296 |
| minimax m3 | minimax | ₽32.40/M | ₽130/M | ₽1 296 |
| gemini 3.1 flash lite | ₽27.00/M | ₽162/M | ₽1 350 | |
| gemini 3.1 flash lite image | ₽27.00/M | ₽162/M | ₽1 350 | |
| qwen3.7 plus | qwen | ₽34.56/M | ₽138/M | ₽1 382 |
| deepseek v4 pro | deepseek | ₽46.98/M | ₽93.96/M | ₽1 409 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽22.68/M | ₽205/M | ₽1 480 |
| gpt 5.1 codex mini | openai | ₽27.00/M | ₽216/M | ₽1 620 |
| GPT-5 Mini | gpt 5 mini | ₽27.00/M | ₽216/M | ₽1 620 |
| qwen3.5 122b a10b | qwen | ₽28.08/M | ₽225/M | ₽1 685 |
| gpt 4.1 mini | openai | ₽43.20/M | ₽173/M | ₽1 728 |
| qwen3.6 plus | qwen | ₽35.10/M | ₽211/M | ₽1 755 |
| gemma 2 27b it | ₽70.20/M | ₽70.20/M | ₽1 755 | |
| cloudru · deepseek-ai · DeepSeek-V3 | cloudru | ₽44.49/M | ₽178/M | ₽1 780 |
| cloudru · meituan-longcat · LongCat-Flash-Chat | cloudru | ₽44.49/M | ₽178/M | ₽1 780 |
| cloudru · Qwen · Qwen3-32B | cloudru | ₽44.49/M | ₽178/M | ₽1 780 |
| glm 4.7 | z ai | ₽43.20/M | ₽189/M | ₽1 809 |
| gpt 3.5 turbo | openai | ₽54.00/M | ₽162/M | ₽1 890 |
| mistralai · devstral-2512 | mistralai | ₽43.20/M | ₽216/M | ₽1 944 |
| mistralai · mistral-medium-3 | mistralai | ₽43.20/M | ₽216/M | ₽1 944 |
| mistralai · mistral-medium-3.1 | mistralai | ₽43.20/M | ₽216/M | ₽1 944 |
| qwen 2.5 coder 32b instruct | qwen | ₽71.28/M | ₽108/M | ₽1 966 |
| qwen3 235b a22b | qwen | ₽49.14/M | ₽197/M | ₽1 966 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽32.40/M | ₽270/M | ₽1 998 |
| gemini 2.5 flash image | ₽32.40/M | ₽270/M | ₽1 998 | |
| gemini 3.5 flash lite | ₽32.40/M | ₽270/M | ₽1 998 | |
| deepseek r1 distill llama 70b | deepseek | ₽86.40/M | ₽86.40/M | ₽2 160 |
| glm 4.6 | z ai | ₽54.00/M | ₽216/M | ₽2 160 |
| DeepSeek R1 | deepseek r1 | ₽54.00/M | ₽232/M | ₽2 241 |
| glm 4.5v | z ai | ₽64.80/M | ₽194/M | ₽2 268 |
| qwen2.5 vl 72b instruct | qwen | ₽86.40/M | ₽108/M | ₽2 268 |
| minimax m1 | minimax | ₽59.40/M | ₽238/M | ₽2 376 |
| morph · morph-v3-fast | morph | ₽86.40/M | ₽130/M | ₽2 376 |
| qwen3.6 27b | qwen | ₽48.60/M | ₽292/M | ₽2 430 |
| Kimi K2 | kimi k2 | ₽61.56/M | ₽248/M | ₽2 473 |
| glm 4.5 | z ai | ₽64.80/M | ₽238/M | ₽2 484 |
| gpt audio mini | openai | ₽64.80/M | ₽259/M | ₽2 592 |
| qwen3.5 397b a17b | qwen | ₽48.60/M | ₽324/M | ₽2 592 |
| Gemini 3 Flash | gemini 3 flash | ₽54.00/M | ₽324/M | ₽2 700 |
| gemini 3.1 flash image | ₽54.00/M | ₽324/M | ₽2 700 | |
| Sonar | perplexity | ₽108/M | ₽108/M | ₽2 700 |
| Kimi K2.5 | kimi k2.5 | ₽61.56/M | ₽308/M | ₽2 770 |
| morph · morph-v3-large | morph | ₽97.20/M | ₽205/M | ₽2 970 |
| cloudru · deepseek-ai · DeepSeek-V3.1-Terminus | cloudru | ₽88.97/M | ₽267/M | ₽3 114 |
| qwen3 coder plus | qwen | ₽70.20/M | ₽351/M | ₽3 159 |
| grok build 0.1 | x ai | ₽108/M | ₽216/M | ₽3 240 |
| kimi k2.7 code | moonshotai | ₽77.65/M | ₽377/M | ₽3 438 |
| cloudru · deepseek-ai · DeepSeek-R1-0528 | cloudru | ₽88.97/M | ₽356/M | ₽3 559 |
| aliceai llm flash | yandex | ₽120/M | ₽240/M | ₽3 600 |
| glm 5.2 | z ai | ₽103/M | ₽324/M | ₽3 683 |
| glm 5.1 | z ai | ₽104/M | ₽328/M | ₽3 726 |
| GLM-5 | glm 5 | ₽103/M | ₽340/M | ₽3 753 |
| Qwen3 Max | qwen3 max | ₽84.24/M | ₽421/M | ₽3 791 |
| gpt 5.4 mini | openai | ₽81.00/M | ₽486/M | ₽4 050 |
| grok 4.20 | x ai | ₽135/M | ₽270/M | ₽4 050 |
| grok 4.20 multi agent | x ai | ₽135/M | ₽270/M | ₽4 050 |
| grok 4.3 | x ai | ₽135/M | ₽270/M | ₽4 050 |
| kimi k2.6 | moonshotai | ₽103/M | ₽432/M | ₽4 212 |
| glm 5 turbo | z ai | ₽130/M | ₽432/M | ₽4 752 |
| glm 5v turbo | z ai | ₽130/M | ₽432/M | ₽4 752 |
| gpt image 1 mini | openai | ₽238/M | — | ₽4 752 |
| O3 Mini | o3 mini | ₽119/M | ₽475/M | ₽4 752 |
| o3 mini high | openai | ₽119/M | ₽475/M | ₽4 752 |
| O4 Mini | o4 mini | ₽119/M | ₽475/M | ₽4 752 |
| o4 mini high | openai | ₽119/M | ₽475/M | ₽4 752 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽108/M | ₽540/M | ₽4 860 |
| gpt 5.6 luna | openai | ₽108/M | ₽648/M | ₽5 400 |
| gpt 5.6 luna pro | openai | ₽108/M | ₽648/M | ₽5 400 |
| qwen3.7 max | qwen | ₽159/M | ₽478/M | ₽5 576 |
| Qwen3.6 Max | qwen3.6 max | ₽112/M | ₽674/M | ₽5 616 |
| cloudru · qwen · qwen3-235b-a22b | cloudru | ₽143/M | ₽574/M | ₽5 739 |
| YandexGPT 5 Lite | YandexGPT 5 Lite | ₽240/M | ₽240/M | ₽6 000 |
| YandexGPT Lite | yandexgpt lite | ₽240/M | ₽240/M | ₽6 000 |
| yandexgpt lite · rc | yandex | ₽240/M | ₽240/M | ₽6 000 |
| gpt 5 image mini | openai | ₽270/M | ₽216/M | ₽6 480 |
| cloudru · zai-org · GLM-5.2 | cloudru | ₽178/M | ₽623/M | ₽6 673 |
| cloudru · Qwen · Qwen3.6-35B-A3B | cloudru | ₽264/M | ₽395/M | ₽7 247 |
| gemini 3.6 flash | ₽162/M | ₽810/M | ₽7 290 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽162/M | ₽810/M | ₽7 290 |
| grok 4.5 | x ai | ₽216/M | ₽648/M | ₽7 560 |
| mistralai · mistral-large | mistralai | ₽216/M | ₽648/M | ₽7 560 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽216/M | ₽648/M | ₽7 560 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽135/M | ₽1 080/M | ₽8 100 |
| gemini 3.5 flash | ₽162/M | ₽972/M | ₽8 100 | |
| gpt 5 chat | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5 codex | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5.1 | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5.1 chat | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5.1 codex | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| gpt 5.1 codex max | openai | ₽135/M | ₽1 080/M | ₽8 100 |
| GPT-5 | gpt 5 | ₽135/M | ₽1 080/M | ₽8 100 |
| cloudru · moonshotai · Kimi-K2.6 | cloudru | ₽211/M | ₽871/M | ₽8 572 |
| gpt 3.5 turbo 16k | openai | ₽324/M | ₽432/M | ₽8 640 |
| gpt 4.1 | openai | ₽216/M | ₽864/M | ₽8 640 |
| O3 | o3 | ₽216/M | ₽864/M | ₽8 640 |
| o4 mini deep research | openai | ₽216/M | ₽864/M | ₽8 640 |
| sonar deep research | perplexity | ₽216/M | ₽864/M | ₽8 640 |
| sonar reasoning pro | perplexity | ₽216/M | ₽864/M | ₽8 640 |
| cloudru · deepseek-ai · DeepSeek-V4-Pro | cloudru | ₽220/M | ₽878/M | ₽8 784 |
| claude sonnet 5 | anthropic | ₽216/M | ₽1 080/M | ₽9 720 |
| cloudru · zai-org · GLM-5.1 | cloudru | ₽239/M | ₽996/M | ₽9 750 |
| deepseek v4 flash · latest | yandex | ₽360/M | ₽600/M | ₽10 200 |
| gemini 3 pro image | ₽216/M | ₽1 296/M | ₽10 800 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽216/M | ₽1 296/M | ₽10 800 |
| gemini 3.1 pro preview customtools | ₽216/M | ₽1 296/M | ₽10 800 | |
| gpt audio | openai | ₽270/M | ₽1 080/M | ₽10 800 |
| gpt audio 1.5 | openai | ₽270/M | ₽1 080/M | ₽10 800 |
| gpt image 1 | openai | ₽540/M | — | ₽10 800 |
| gpt image 1.5 | openai | ₽540/M | — | ₽10 800 |
| GPT-4o | gpt 4o | ₽270/M | ₽1 080/M | ₽10 800 |
| gpt 5.2 | openai | ₽189/M | ₽1 512/M | ₽11 340 |
| gpt 5.2 chat | openai | ₽189/M | ₽1 512/M | ₽11 340 |
| gpt 5.3 chat | openai | ₽189/M | ₽1 512/M | ₽11 340 |
| gpt 5.3 codex | openai | ₽189/M | ₽1 512/M | ₽11 340 |
| cloudru · MiniMaxAI · MiniMax-M2.5 | cloudru | ₽425/M | ₽571/M | ₽11 346 |
| cloudru · MiniMaxAI · MiniMax-M3 | cloudru | ₽288/M | ₽1 211/M | ₽11 818 |
| gpt 5.4 | openai | ₽270/M | ₽1 620/M | ₽13 500 |
| gpt 5.6 terra | openai | ₽270/M | ₽1 620/M | ₽13 500 |
| gpt 5.6 terra pro | openai | ₽270/M | ₽1 620/M | ₽13 500 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽324/M | ₽1 620/M | ₽14 580 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽324/M | ₽1 620/M | ₽14 580 |
| kimi k3 | moonshotai | ₽324/M | ₽1 620/M | ₽14 580 |
| sonar pro | perplexity | ₽324/M | ₽1 620/M | ₽14 580 |
| Qwen3 235B A22B FP8 | qwen3 235b a22b fp8 | ₽600/M | ₽600/M | ₽15 000 |
| cloudru · GigaChat · GigaChat-2-Max | cloudru | ₽683/M | ₽683/M | ₽17 080 |
| Alice AI LLM | aliceai llm | ₽600/M | ₽1 440/M | ₽19 200 |
| yandexgpt · rc | yandex | ₽960/M | ₽960/M | ₽24 000 |
| yandexgpt 5.1 · latest | yandex | ₽960/M | ₽960/M | ₽24 000 |
| Claude Opus 4.5 | claude opus 4 5 | ₽540/M | ₽2 700/M | ₽24 300 |
| 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 |
| gpt 5.6 sol pro | openai | ₽540/M | ₽3 240/M | ₽27 000 |
| gpt 5 image | openai | ₽1 080/M | ₽1 080/M | ₽27 000 |
| cloudru · Qwen · Qwen3.5-397B-A17B | cloudru | ₽1 098/M | ₽1 303/M | ₽28 475 |
| YandexGPT 5 Pro | YandexGPT 5 Pro | ₽1 440/M | ₽1 440/M | ₽36 000 |
| yandexgpt-pro | yandexgpt | ₽1 440/M | ₽1 440/M | ₽36 000 |
| gpt 4 turbo | openai | ₽1 080/M | ₽3 240/M | ₽37 800 |
| o3 deep research | openai | ₽1 080/M | ₽4 320/M | ₽43 200 |
| claude fable 5 | anthropic | ₽1 080/M | ₽5 400/M | ₽48 600 |
| O1 | o1 | ₽1 620/M | ₽6 480/M | ₽64 800 |
| Claude Opus 4 | claude opus 4 | ₽1 620/M | ₽8 100/M | ₽72 900 |
| o3 pro | openai | ₽2 160/M | ₽8 640/M | ₽86 400 |
| gpt 5 pro | openai | ₽1 620/M | ₽12 960/M | ₽97 200 |
| gpt 4 | openai | ₽3 240/M | ₽6 480/M | ₽97 200 |
| gpt 5.2 pro | openai | ₽2 268/M | ₽18 144/M | ₽136 080 |
| gpt 5.4 pro | openai | ₽3 240/M | ₽19 440/M | ₽162 000 |
| gpt 5.5 pro | openai | ₽3 240/M | ₽19 440/M | ₽162 000 |
| o1 pro | openai | ₽16 200/M | ₽64 800/M | ₽648 000 |
Транскрипция
за минуту · 1
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Транскрипция
за минуту · 1
| Модель | Maker | Цена |
|---|---|---|
| whisper 1 | openai | ₽0.65/мин |
О провайдере
О сервисе
AgentPlatform — не только агрегатор моделей, а полный стек для AI-разработки в России: API-шлюз, автоматизация n8n и базы Supabase. Создано IT-компанией с заявленным 10-летним опытом. Подходит командам, которым нужны guardrails, мониторинг и хостинг workflow в одном вендоре, а не только дешёвые токены.
Как сравнивать на AI-APISHKA
Сравнивайте ₽/1M LLM с RouterAI и Zveno. AgentPlatform выигрывает, если нужны n8n + API в одном счёте.
Частые вопросы
- AgentPlatform — только LLM API?
- Нет — также managed n8n-серверы (от 1 900 ₽/мес) и Supabase-хостинг; LLM доступны из n8n workflows.
- AgentPlatform хранит тексты запросов?
- Заявлен Zero-Data Retention — данные запросов не хранятся на серверах платформы.
- AgentPlatform работает без VPN?
- Да — позиционируется как AI-инфраструктура для России без VPN и блокировок.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
AgentPlatform предлагает 234 моделей AI API. Средняя цена — ₽503/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽2.16/M (text embedding 3 small).
Сравните цены на whisper 1 , text embedding 3 small , mistralai · mistral-nemo , gpt oss 20b и qwen 2.5 7b instruct у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.