AITunnel
Сайт ↗200+ моделей, бюджеты на ключах и интеграция с Claude Code
- Моделей
- 193
- Средняя цена
- ₽830/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽), Минимальное пополнение от 399 ₽
- 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 = 71.9077 ₽ · 1 CNY = 10.6064 ₽ · 12.06.2026
193 моделей
Текст и чат
оплата за токены · 165
▼
Текст и чат
оплата за токены · 165
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.77/M | ₽0.77/M | ₽15 |
| Llama 3.2 1B Preview | meta llama | ₽1.92/M | ₽1.92/M | ₽48 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽3.84/M | ₽3.84/M | ₽77 |
| text embedding 3 small | openai | ₽3.84/M | ₽3.84/M | ₽77 |
| Llama 3.2 3B Preview | meta llama | ₽2.88/M | ₽4.80/M | ₽82 |
| mistral nemo | mistral nemo | ₽3.84/M | ₽7.68/M | ₽115 |
| pplx embed v1 4b | pplx embed v1 4b | ₽5.76/M | ₽5.76/M | ₽115 |
| qwen3 30b a3b | qwen | ₽3.84/M | ₽15.36/M | ₽154 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽7.68/M | ₽7.68/M | ₽154 |
| Llama 3.2 11B Vision Preview | meta llama | ₽10.56/M | ₽10.56/M | ₽264 |
| Text Embedding V1 | text embedding 004 | ₽13.82/M | ₽13.82/M | ₽276 |
| gpt oss 20b | openai | ₽9.60/M | ₽38.40/M | ₽384 |
| mistral embed 2312 | mistral embed 2312 | ₽19.20/M | ₽19.20/M | ₽384 |
| Text Embedding ADA | text embedding ada | ₽19.20/M | ₽19.20/M | ₽384 |
| mistral-small-3.2-24b-instruct | mistral small 3 2 24b instruct | ₽11.52/M | ₽34.56/M | ₽403 |
| qwen3 coder 30b a3b instruct | qwen | ₽11.52/M | ₽48.00/M | ₽470 |
| gigachat embeddings 2 | gigachat embeddings 2 | ₽24.00/M | ₽24.00/M | ₽480 |
| gigachat embeddings giga r | gigachat embeddings giga r | ₽24.00/M | ₽24.00/M | ₽480 |
| text embedding 3 large | openai | ₽24.96/M | ₽24.96/M | ₽499 |
| qwen3.5 9b | qwen | ₽19.20/M | ₽28.80/M | ₽528 |
| codestral embed 2505 | codestral embed 2505 | ₽28.80/M | ₽28.80/M | ₽576 |
| deepseek v4 flash | deepseek | ₽19.20/M | ₽38.40/M | ₽576 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽28.80/M | ₽28.80/M | ₽576 |
| gpt 5 nano | openai | ₽9.60/M | ₽76.80/M | ₽576 |
| gpt oss safeguard 20b | openai | ₽14.40/M | ₽57.60/M | ₽576 |
| qwen3 235b a22b 2507 | qwen | ₽14.98/M | ₽59.90/M | ₽599 |
| glm 4.7 flash | z ai | ₽11.52/M | ₽76.80/M | ₽614 |
| MiMo V2 Flash | mimo v2 flash | ₽19.20/M | ₽57.60/M | ₽672 |
| llama 4 scout | meta llama | ₽15.36/M | ₽86.40/M | ₽739 |
| Llama 3.3 70B | Llama 3.3 70B | ₽23.04/M | ₽57.60/M | ₽749 |
| gemini 2.5 flash lite | ₽19.20/M | ₽76.80/M | ₽768 | |
| gpt 4.1 nano | openai | ₽19.20/M | ₽76.80/M | ₽768 |
| Qwen3.5 Flash | qwen3.5 flash | ₽19.20/M | ₽76.80/M | ₽768 |
| gemini embedding 2 | gemini embedding 2 | ₽38.40/M | ₽38.40/M | ₽768 |
| flux.2-klein-4b | flux 2 klein 4b | ₽39.17/M | — | ₽783 |
| deepseek chat | deepseek | ₽26.88/M | ₽53.76/M | ₽806 |
| Gemini 3.1 Flash Image | gemini 3.1 flash image | ₽40.80/M | — | ₽816 |
| gemma 4 26b a4b it | ₽24.96/M | ₽76.80/M | ₽883 | |
| gemma 4 31b it | ₽26.88/M | ₽76.80/M | ₽922 | |
| gemini 2.5 flash image | ₽48.96/M | — | ₽979 | |
| gpt 4o mini | openai | ₽28.80/M | ₽115/M | ₽1 152 |
| gpt oss 120b | openai | ₽28.80/M | ₽115/M | ₽1 152 |
| mistral small 2603 | mistral small 2603 | ₽28.80/M | ₽115/M | ₽1 152 |
| glm 4.5 air | z ai | ₽24.96/M | ₽163/M | ₽1 315 |
| llama 4 maverick | meta llama | ₽38.40/M | ₽115/M | ₽1 344 |
| deepseek v3.2 | deepseek | ₽51.84/M | ₽78.72/M | ₽1 430 |
| qwen3.6 35b a3b | qwen | ₽30.95/M | ₽185/M | ₽1 546 |
| minimax 01 | minimax | ₽38.40/M | ₽211/M | ₽1 824 |
| minimax m2 | minimax | ₽48.96/M | ₽192/M | ₽1 939 |
| minimax m2.1 | minimax | ₽51.84/M | ₽182/M | ₽1 949 |
| gpt 5.4 nano | openai | ₽38.40/M | ₽240/M | ₽1 968 |
| deepseek v3.1 terminus | deepseek | ₽51.84/M | ₽192/M | ₽1 997 |
| codestral 2508 | codestral 2508 | ₽57.60/M | ₽173/M | ₽2 016 |
| glm 4.6v | z ai | ₽57.60/M | ₽173/M | ₽2 016 |
| deepseek chat v3.1 | deepseek | ₽51.84/M | ₽211/M | ₽2 093 |
| qwen3 coder next | qwen | ₽38.40/M | ₽288/M | ₽2 208 |
| qwen3.6 27b | qwen | ₽37.44/M | ₽300/M | ₽2 246 |
| minimax m2 her | minimax | ₽57.60/M | ₽230/M | ₽2 304 |
| minimax m2.5 | minimax | ₽57.60/M | ₽230/M | ₽2 304 |
| minimax m2.7 | minimax | ₽57.60/M | ₽230/M | ₽2 304 |
| minimax m3 | minimax | ₽57.60/M | ₽230/M | ₽2 304 |
| qwen3 coder | qwen | ₽57.60/M | ₽230/M | ₽2 304 |
| gemini 3.1 flash lite | ₽48.00/M | ₽288/M | ₽2 400 | |
| qwen3.6 flash | qwen | ₽48.00/M | ₽288/M | ₽2 400 |
| deepseek v4 pro | deepseek | ₽83.52/M | ₽167/M | ₽2 506 |
| gigachat 2 | gigachat 2 | ₽111/M | ₽111/M | ₽2 775 |
| glm 4.6 | z ai | ₽67.20/M | ₽288/M | ₽2 784 |
| glm 4.5 | z ai | ₽67.20/M | ₽298/M | ₽2 832 |
| gpt 5 mini | openai | ₽48.00/M | ₽384/M | ₽2 880 |
| qwen3.5 35b a3b | qwen | ₽48.00/M | ₽384/M | ₽2 880 |
| glm 4.7 | z ai | ₽76.80/M | ₽288/M | ₽2 976 |
| gpt 4.1 mini | openai | ₽76.80/M | ₽307/M | ₽3 072 |
| qwen3.7 plus | qwen | ₽76.80/M | ₽307/M | ₽3 072 |
| kimi k2 | moonshotai | ₽74.88/M | ₽365/M | ₽3 322 |
| gpt 3.5 turbo | openai | ₽96.00/M | ₽288/M | ₽3 360 |
| mistral large 2512 | mistral large 2512 | ₽96.00/M | ₽288/M | ₽3 360 |
| qwen3.5 27b | qwen | ₽57.60/M | ₽461/M | ₽3 456 |
| mistral-medium-3.1 | mistral medium 3 1 | ₽76.80/M | ₽384/M | ₽3 456 |
| Xiaomi Mimo V2.5 | xiaomi mimo v2.5 | ₽76.80/M | ₽384/M | ₽3 456 |
| gemini 2.5 flash | ₽57.60/M | ₽480/M | ₽3 552 | |
| glm 5 | z ai | ₽57.60/M | ₽490/M | ₽3 600 |
| minimax m1 | minimax | ₽76.80/M | ₽422/M | ₽3 648 |
| Qwen3.5 Plus | qwen3.5 plus | ₽76.80/M | ₽461/M | ₽3 840 |
| deepseek r1 | deepseek | ₽96.00/M | ₽419/M | ₽4 013 |
| glm 4.5v | z ai | ₽115/M | ₽346/M | ₽4 032 |
| kimi k2.5 | moonshotai | ₽96.00/M | ₽538/M | ₽4 608 |
| gpt audio mini | openai | ₽115/M | ₽461/M | ₽4 608 |
| qwen3.5 122b a10b | qwen | ₽76.80/M | ₽614/M | ₽4 608 |
| gemini 3 flash | gemini 3 flash | ₽96.00/M | ₽576/M | ₽4 800 |
| Sonar | perplexity | ₽192/M | ₽192/M | ₽4 800 |
| grok build 0.1 | x ai | ₽192/M | ₽384/M | ₽5 760 |
| qwen3.5 397b a17b | qwen | ₽115/M | ₽691/M | ₽5 760 |
| Gemini 3 Pro Image | gemini 3 pro image | ₽326/M | — | ₽6 528 |
| gpt image 1 mini | openai | ₽326/M | — | ₽6 528 |
| Xiaomi Mimo V2.5 Pro | xiaomi mimo v2.5 pro | ₽192/M | ₽576/M | ₽6 720 |
| glm 5 turbo | z ai | ₽184/M | ₽614/M | ₽6 758 |
| gpt 5.4 mini | openai | ₽144/M | ₽864/M | ₽7 200 |
| grok 4.3 | x ai | ₽240/M | ₽480/M | ₽7 200 |
| kimi k2.6 | moonshotai | ₽182/M | ₽768/M | ₽7 488 |
| Kimi K2.7 Code | kimi k2.7 code | ₽182/M | ₽768/M | ₽7 488 |
| o3 mini | openai | ₽211/M | ₽845/M | ₽8 448 |
| o4 mini | openai | ₽211/M | ₽845/M | ₽8 448 |
| claude 3.5 haiku | anthropic | ₽192/M | ₽960/M | ₽8 640 |
| claude haiku 4.5 | anthropic | ₽192/M | ₽960/M | ₽8 640 |
| glm 5.1 | z ai | ₽269/M | ₽845/M | ₽9 600 |
| gpt 4o mini transcribe | gpt 4o mini transcribe | ₽240/M | ₽960/M | ₽9 600 |
| qwen3 max | qwen | ₽230/M | ₽1 152/M | ₽10 368 |
| gpt 5.1 codex mini | openai | ₽288/M | ₽1 152/M | ₽11 520 |
| Flux 2 Pro | flux 2 pro | ₽597/M | — | ₽11 946 |
| qwen3.6 max preview | qwen | ₽250/M | ₽1 498/M | ₽12 480 |
| grok 4.20 | x ai | ₽384/M | ₽1 152/M | ₽13 440 |
| grok 4.20 multi agent | x ai | ₽384/M | ₽1 152/M | ₽13 440 |
| gemini 2.5 pro | ₽240/M | ₽1 920/M | ₽14 400 | |
| gemini 3.5 flash | ₽288/M | ₽1 728/M | ₽14 400 | |
| gpt 5 | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5 chat | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5 codex | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5.1 | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5.1 chat | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5.1 codex | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5.1 codex max | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 4.1 | openai | ₽384/M | ₽1 536/M | ₽15 360 |
| O3 | openai | ₽384/M | ₽1 536/M | ₽15 360 |
| sonar deep research | perplexity | ₽384/M | ₽1 536/M | ₽15 360 |
| sonar reasoning pro | perplexity | ₽384/M | ₽1 536/M | ₽15 360 |
| gpt image 1 | openai | ₽816/M | — | ₽16 320 |
| gpt image 1.5 | openai | ₽816/M | — | ₽16 320 |
| GPT Image 2 | gpt image 2 | ₽816/M | — | ₽16 320 |
| qwen3.7 max | qwen | ₽480/M | ₽1 440/M | ₽16 800 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽384/M | ₽2 304/M | ₽19 200 |
| gemini 3.1 pro preview customtools | ₽384/M | ₽2 304/M | ₽19 200 | |
| gpt 4o | openai | ₽480/M | ₽1 920/M | ₽19 200 |
| gpt 4o transcribe | gpt 4o transcribe | ₽480/M | ₽1 920/M | ₽19 200 |
| gpt 4o transcribe diarize | gpt 4o transcribe diarize | ₽480/M | ₽1 920/M | ₽19 200 |
| gpt audio | openai | ₽480/M | ₽1 920/M | ₽19 200 |
| gpt 5.2 | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gpt 5.2 chat | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gpt 5.2 codex | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gpt 5.3 chat | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gpt 5.3 codex | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gigachat 2 pro | gigachat 2 pro | ₽850/M | ₽850/M | ₽21 250 |
| gemini-3.1-flash-tts-preview | gemini 3 1 flash tts preview | ₽192/M | ₽3 840/M | ₽23 040 |
| flux.2-max | flux 2 max | ₽1 195/M | — | ₽23 892 |
| gpt 5.4 | openai | ₽480/M | ₽2 880/M | ₽24 000 |
| claude sonnet 4 | anthropic | ₽576/M | ₽2 880/M | ₽25 920 |
| claude sonnet 4.5 | anthropic | ₽576/M | ₽2 880/M | ₽25 920 |
| claude sonnet 4.6 | anthropic | ₽576/M | ₽2 880/M | ₽25 920 |
| sonar pro | perplexity | ₽576/M | ₽2 880/M | ₽25 920 |
| gigachat 2 max | gigachat 2 max | ₽1 105/M | ₽1 105/M | ₽27 625 |
| claude opus 4.8 | anthropic | ₽672/M | ₽3 360/M | ₽30 240 |
| claude opus 4.5 | anthropic | ₽960/M | ₽4 800/M | ₽43 200 |
| claude opus 4.6 | anthropic | ₽960/M | ₽4 800/M | ₽43 200 |
| claude opus 4.7 | anthropic | ₽960/M | ₽4 800/M | ₽43 200 |
| Flux 2 Flex | flux 2 flex | ₽2 389/M | — | ₽47 785 |
| gpt 5.5 | openai | ₽960/M | ₽5 760/M | ₽48 000 |
| gpt 4 turbo | openai | ₽1 920/M | ₽5 760/M | ₽67 200 |
| O1 | openai | ₽2 300/M | ₽7 200/M | ₽82 000 |
| o3 pro | openai | ₽2 000/M | ₽8 500/M | ₽82 500 |
| claude opus 4 | anthropic | ₽2 880/M | ₽14 400/M | ₽129 600 |
| gpt 4 | openai | ₽5 760/M | ₽11 520/M | ₽172 800 |
| gpt 5 pro | openai | ₽2 880/M | ₽23 040/M | ₽172 800 |
| gpt 5.2 pro | openai | ₽4 032/M | ₽32 256/M | ₽241 920 |
| gpt 5.4 pro | openai | ₽5 760/M | ₽34 560/M | ₽288 000 |
| gpt 5.5 pro | openai | ₽5 760/M | ₽34 560/M | ₽288 000 |
| o1 pro | openai | ₽15 000/M | ₽70 000/M | ₽650 000 |
Изображения
за изображение · 2
▼
Изображения
за изображение · 2
| Модель | Maker | Цена |
|---|---|---|
| seedream-4.5 | seedream 4 5 | ₽6.53/изобр. |
| Qwen Image Edit | qwen image edit | ₽7.34/изобр. |
Видео и аудио
за секунду · 12
▼
Видео и аудио
за секунду · 12
| Модель | Maker | Цена |
|---|---|---|
| seedance 1 5 pro | seedance 1 5 pro | ₽1.06/сек |
| veo-3.1-lite | veo 3 1 lite | ₽4.90/сек |
| seedance-2.0 | seedance 2 0 | ₽4.94/сек |
| grok imagine video | grok imagine video | ₽8.16/сек |
| veo-3.1 | veo 3 1 | ₽13.06/сек |
| hailuo-2.3 | hailuo 2 3 | ₽13.33/сек |
| kling-v3.0-std | kling v3 0 std | ₽13.71/сек |
| wan-2.6 | wan 2 6 | ₽16.32/сек |
| wan-2.7 | wan 2 7 | ₽16.32/сек |
| kling video o1 | kling video o1 | ₽18.28/сек |
| kling-v3.0-pro | kling v3 0 pro | ₽18.28/сек |
| Sora 2 Pro | sora 2 pro | ₽48.96/сек |
Транскрипция
за минуту · 6
▼
Транскрипция
за минуту · 6
| Модель | Maker | Цена |
|---|---|---|
| Whisper Large V3 Turbo | whisper large v3 turbo | ₽0.13/мин |
| Whisper Large v3 | Whisper Large v3 | ₽0.36/мин |
| qwen3 asr flash 2026 02 10 | qwen3 asr flash 2026 02 10 | ₽0.40/мин |
| voxtral mini transcribe | voxtral mini transcribe | ₽0.58/мин |
| whisper 1 | openai | ₽1.15/мин |
| chirp 3 | chirp 3 | ₽3.07/мин |
Озвучка
за 1M символов · 5
▼
Озвучка
за 1M символов · 5
| Модель | Maker | Цена |
|---|---|---|
| gpt 4o mini tts | openai | ₽115/1M симв. |
| grok-voice-tts-1.0 | grok voice tts 1 0 | ₽2 880/1M симв. |
| tts 1 | openai | ₽2 880/1M симв. |
| voxtral mini tts 2603 | voxtral mini tts 2603 | ₽3 072/1M симв. |
| tts 1 hd | openai | ₽5 760/1M симв. |
За запрос
фиксированная цена за вызов · 3
▼
За запрос
фиксированная цена за вызов · 3
| Модель | Maker | Цена |
|---|---|---|
| rerank-v3.5 | rerank v3 5 | ₽0.16/вызов |
| rerank 4 fast | rerank 4 fast | ₽0.33/вызов |
| rerank 4 pro | rerank 4 pro | ₽0.41/вызов |
Текст и чат
оплата за токены · 165
▼
Текст и чат
оплата за токены · 165
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.77/M | ₽0.77/M | ₽15 |
| Llama 3.2 1B Preview | meta llama | ₽1.92/M | ₽1.92/M | ₽48 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽3.84/M | ₽3.84/M | ₽77 |
| text embedding 3 small | openai | ₽3.84/M | ₽3.84/M | ₽77 |
| Llama 3.2 3B Preview | meta llama | ₽2.88/M | ₽4.80/M | ₽82 |
| mistral nemo | mistral nemo | ₽3.84/M | ₽7.68/M | ₽115 |
| pplx embed v1 4b | pplx embed v1 4b | ₽5.76/M | ₽5.76/M | ₽115 |
| qwen3 30b a3b | qwen | ₽3.84/M | ₽15.36/M | ₽154 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽7.68/M | ₽7.68/M | ₽154 |
| Llama 3.2 11B Vision Preview | meta llama | ₽10.56/M | ₽10.56/M | ₽264 |
| Text Embedding V1 | text embedding 004 | ₽13.82/M | ₽13.82/M | ₽276 |
| gpt oss 20b | openai | ₽9.60/M | ₽38.40/M | ₽384 |
| mistral embed 2312 | mistral embed 2312 | ₽19.20/M | ₽19.20/M | ₽384 |
| Text Embedding ADA | text embedding ada | ₽19.20/M | ₽19.20/M | ₽384 |
| mistral-small-3.2-24b-instruct | mistral small 3 2 24b instruct | ₽11.52/M | ₽34.56/M | ₽403 |
| qwen3 coder 30b a3b instruct | qwen | ₽11.52/M | ₽48.00/M | ₽470 |
| gigachat embeddings 2 | gigachat embeddings 2 | ₽24.00/M | ₽24.00/M | ₽480 |
| gigachat embeddings giga r | gigachat embeddings giga r | ₽24.00/M | ₽24.00/M | ₽480 |
| text embedding 3 large | openai | ₽24.96/M | ₽24.96/M | ₽499 |
| qwen3.5 9b | qwen | ₽19.20/M | ₽28.80/M | ₽528 |
| codestral embed 2505 | codestral embed 2505 | ₽28.80/M | ₽28.80/M | ₽576 |
| deepseek v4 flash | deepseek | ₽19.20/M | ₽38.40/M | ₽576 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽28.80/M | ₽28.80/M | ₽576 |
| gpt 5 nano | openai | ₽9.60/M | ₽76.80/M | ₽576 |
| gpt oss safeguard 20b | openai | ₽14.40/M | ₽57.60/M | ₽576 |
| qwen3 235b a22b 2507 | qwen | ₽14.98/M | ₽59.90/M | ₽599 |
| glm 4.7 flash | z ai | ₽11.52/M | ₽76.80/M | ₽614 |
| MiMo V2 Flash | mimo v2 flash | ₽19.20/M | ₽57.60/M | ₽672 |
| llama 4 scout | meta llama | ₽15.36/M | ₽86.40/M | ₽739 |
| Llama 3.3 70B | Llama 3.3 70B | ₽23.04/M | ₽57.60/M | ₽749 |
| gemini 2.5 flash lite | ₽19.20/M | ₽76.80/M | ₽768 | |
| gpt 4.1 nano | openai | ₽19.20/M | ₽76.80/M | ₽768 |
| Qwen3.5 Flash | qwen3.5 flash | ₽19.20/M | ₽76.80/M | ₽768 |
| gemini embedding 2 | gemini embedding 2 | ₽38.40/M | ₽38.40/M | ₽768 |
| flux.2-klein-4b | flux 2 klein 4b | ₽39.17/M | — | ₽783 |
| deepseek chat | deepseek | ₽26.88/M | ₽53.76/M | ₽806 |
| Gemini 3.1 Flash Image | gemini 3.1 flash image | ₽40.80/M | — | ₽816 |
| gemma 4 26b a4b it | ₽24.96/M | ₽76.80/M | ₽883 | |
| gemma 4 31b it | ₽26.88/M | ₽76.80/M | ₽922 | |
| gemini 2.5 flash image | ₽48.96/M | — | ₽979 | |
| gpt 4o mini | openai | ₽28.80/M | ₽115/M | ₽1 152 |
| gpt oss 120b | openai | ₽28.80/M | ₽115/M | ₽1 152 |
| mistral small 2603 | mistral small 2603 | ₽28.80/M | ₽115/M | ₽1 152 |
| glm 4.5 air | z ai | ₽24.96/M | ₽163/M | ₽1 315 |
| llama 4 maverick | meta llama | ₽38.40/M | ₽115/M | ₽1 344 |
| deepseek v3.2 | deepseek | ₽51.84/M | ₽78.72/M | ₽1 430 |
| qwen3.6 35b a3b | qwen | ₽30.95/M | ₽185/M | ₽1 546 |
| minimax 01 | minimax | ₽38.40/M | ₽211/M | ₽1 824 |
| minimax m2 | minimax | ₽48.96/M | ₽192/M | ₽1 939 |
| minimax m2.1 | minimax | ₽51.84/M | ₽182/M | ₽1 949 |
| gpt 5.4 nano | openai | ₽38.40/M | ₽240/M | ₽1 968 |
| deepseek v3.1 terminus | deepseek | ₽51.84/M | ₽192/M | ₽1 997 |
| codestral 2508 | codestral 2508 | ₽57.60/M | ₽173/M | ₽2 016 |
| glm 4.6v | z ai | ₽57.60/M | ₽173/M | ₽2 016 |
| deepseek chat v3.1 | deepseek | ₽51.84/M | ₽211/M | ₽2 093 |
| qwen3 coder next | qwen | ₽38.40/M | ₽288/M | ₽2 208 |
| qwen3.6 27b | qwen | ₽37.44/M | ₽300/M | ₽2 246 |
| minimax m2 her | minimax | ₽57.60/M | ₽230/M | ₽2 304 |
| minimax m2.5 | minimax | ₽57.60/M | ₽230/M | ₽2 304 |
| minimax m2.7 | minimax | ₽57.60/M | ₽230/M | ₽2 304 |
| minimax m3 | minimax | ₽57.60/M | ₽230/M | ₽2 304 |
| qwen3 coder | qwen | ₽57.60/M | ₽230/M | ₽2 304 |
| gemini 3.1 flash lite | ₽48.00/M | ₽288/M | ₽2 400 | |
| qwen3.6 flash | qwen | ₽48.00/M | ₽288/M | ₽2 400 |
| deepseek v4 pro | deepseek | ₽83.52/M | ₽167/M | ₽2 506 |
| gigachat 2 | gigachat 2 | ₽111/M | ₽111/M | ₽2 775 |
| glm 4.6 | z ai | ₽67.20/M | ₽288/M | ₽2 784 |
| glm 4.5 | z ai | ₽67.20/M | ₽298/M | ₽2 832 |
| gpt 5 mini | openai | ₽48.00/M | ₽384/M | ₽2 880 |
| qwen3.5 35b a3b | qwen | ₽48.00/M | ₽384/M | ₽2 880 |
| glm 4.7 | z ai | ₽76.80/M | ₽288/M | ₽2 976 |
| gpt 4.1 mini | openai | ₽76.80/M | ₽307/M | ₽3 072 |
| qwen3.7 plus | qwen | ₽76.80/M | ₽307/M | ₽3 072 |
| kimi k2 | moonshotai | ₽74.88/M | ₽365/M | ₽3 322 |
| gpt 3.5 turbo | openai | ₽96.00/M | ₽288/M | ₽3 360 |
| mistral large 2512 | mistral large 2512 | ₽96.00/M | ₽288/M | ₽3 360 |
| qwen3.5 27b | qwen | ₽57.60/M | ₽461/M | ₽3 456 |
| mistral-medium-3.1 | mistral medium 3 1 | ₽76.80/M | ₽384/M | ₽3 456 |
| Xiaomi Mimo V2.5 | xiaomi mimo v2.5 | ₽76.80/M | ₽384/M | ₽3 456 |
| gemini 2.5 flash | ₽57.60/M | ₽480/M | ₽3 552 | |
| glm 5 | z ai | ₽57.60/M | ₽490/M | ₽3 600 |
| minimax m1 | minimax | ₽76.80/M | ₽422/M | ₽3 648 |
| Qwen3.5 Plus | qwen3.5 plus | ₽76.80/M | ₽461/M | ₽3 840 |
| deepseek r1 | deepseek | ₽96.00/M | ₽419/M | ₽4 013 |
| glm 4.5v | z ai | ₽115/M | ₽346/M | ₽4 032 |
| kimi k2.5 | moonshotai | ₽96.00/M | ₽538/M | ₽4 608 |
| gpt audio mini | openai | ₽115/M | ₽461/M | ₽4 608 |
| qwen3.5 122b a10b | qwen | ₽76.80/M | ₽614/M | ₽4 608 |
| gemini 3 flash | gemini 3 flash | ₽96.00/M | ₽576/M | ₽4 800 |
| Sonar | perplexity | ₽192/M | ₽192/M | ₽4 800 |
| grok build 0.1 | x ai | ₽192/M | ₽384/M | ₽5 760 |
| qwen3.5 397b a17b | qwen | ₽115/M | ₽691/M | ₽5 760 |
| Gemini 3 Pro Image | gemini 3 pro image | ₽326/M | — | ₽6 528 |
| gpt image 1 mini | openai | ₽326/M | — | ₽6 528 |
| Xiaomi Mimo V2.5 Pro | xiaomi mimo v2.5 pro | ₽192/M | ₽576/M | ₽6 720 |
| glm 5 turbo | z ai | ₽184/M | ₽614/M | ₽6 758 |
| gpt 5.4 mini | openai | ₽144/M | ₽864/M | ₽7 200 |
| grok 4.3 | x ai | ₽240/M | ₽480/M | ₽7 200 |
| kimi k2.6 | moonshotai | ₽182/M | ₽768/M | ₽7 488 |
| Kimi K2.7 Code | kimi k2.7 code | ₽182/M | ₽768/M | ₽7 488 |
| o3 mini | openai | ₽211/M | ₽845/M | ₽8 448 |
| o4 mini | openai | ₽211/M | ₽845/M | ₽8 448 |
| claude 3.5 haiku | anthropic | ₽192/M | ₽960/M | ₽8 640 |
| claude haiku 4.5 | anthropic | ₽192/M | ₽960/M | ₽8 640 |
| glm 5.1 | z ai | ₽269/M | ₽845/M | ₽9 600 |
| gpt 4o mini transcribe | gpt 4o mini transcribe | ₽240/M | ₽960/M | ₽9 600 |
| qwen3 max | qwen | ₽230/M | ₽1 152/M | ₽10 368 |
| gpt 5.1 codex mini | openai | ₽288/M | ₽1 152/M | ₽11 520 |
| Flux 2 Pro | flux 2 pro | ₽597/M | — | ₽11 946 |
| qwen3.6 max preview | qwen | ₽250/M | ₽1 498/M | ₽12 480 |
| grok 4.20 | x ai | ₽384/M | ₽1 152/M | ₽13 440 |
| grok 4.20 multi agent | x ai | ₽384/M | ₽1 152/M | ₽13 440 |
| gemini 2.5 pro | ₽240/M | ₽1 920/M | ₽14 400 | |
| gemini 3.5 flash | ₽288/M | ₽1 728/M | ₽14 400 | |
| gpt 5 | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5 chat | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5 codex | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5.1 | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5.1 chat | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5.1 codex | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 5.1 codex max | openai | ₽240/M | ₽1 920/M | ₽14 400 |
| gpt 4.1 | openai | ₽384/M | ₽1 536/M | ₽15 360 |
| O3 | openai | ₽384/M | ₽1 536/M | ₽15 360 |
| sonar deep research | perplexity | ₽384/M | ₽1 536/M | ₽15 360 |
| sonar reasoning pro | perplexity | ₽384/M | ₽1 536/M | ₽15 360 |
| gpt image 1 | openai | ₽816/M | — | ₽16 320 |
| gpt image 1.5 | openai | ₽816/M | — | ₽16 320 |
| GPT Image 2 | gpt image 2 | ₽816/M | — | ₽16 320 |
| qwen3.7 max | qwen | ₽480/M | ₽1 440/M | ₽16 800 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽384/M | ₽2 304/M | ₽19 200 |
| gemini 3.1 pro preview customtools | ₽384/M | ₽2 304/M | ₽19 200 | |
| gpt 4o | openai | ₽480/M | ₽1 920/M | ₽19 200 |
| gpt 4o transcribe | gpt 4o transcribe | ₽480/M | ₽1 920/M | ₽19 200 |
| gpt 4o transcribe diarize | gpt 4o transcribe diarize | ₽480/M | ₽1 920/M | ₽19 200 |
| gpt audio | openai | ₽480/M | ₽1 920/M | ₽19 200 |
| gpt 5.2 | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gpt 5.2 chat | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gpt 5.2 codex | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gpt 5.3 chat | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gpt 5.3 codex | openai | ₽336/M | ₽2 688/M | ₽20 160 |
| gigachat 2 pro | gigachat 2 pro | ₽850/M | ₽850/M | ₽21 250 |
| gemini-3.1-flash-tts-preview | gemini 3 1 flash tts preview | ₽192/M | ₽3 840/M | ₽23 040 |
| flux.2-max | flux 2 max | ₽1 195/M | — | ₽23 892 |
| gpt 5.4 | openai | ₽480/M | ₽2 880/M | ₽24 000 |
| claude sonnet 4 | anthropic | ₽576/M | ₽2 880/M | ₽25 920 |
| claude sonnet 4.5 | anthropic | ₽576/M | ₽2 880/M | ₽25 920 |
| claude sonnet 4.6 | anthropic | ₽576/M | ₽2 880/M | ₽25 920 |
| sonar pro | perplexity | ₽576/M | ₽2 880/M | ₽25 920 |
| gigachat 2 max | gigachat 2 max | ₽1 105/M | ₽1 105/M | ₽27 625 |
| claude opus 4.8 | anthropic | ₽672/M | ₽3 360/M | ₽30 240 |
| claude opus 4.5 | anthropic | ₽960/M | ₽4 800/M | ₽43 200 |
| claude opus 4.6 | anthropic | ₽960/M | ₽4 800/M | ₽43 200 |
| claude opus 4.7 | anthropic | ₽960/M | ₽4 800/M | ₽43 200 |
| Flux 2 Flex | flux 2 flex | ₽2 389/M | — | ₽47 785 |
| gpt 5.5 | openai | ₽960/M | ₽5 760/M | ₽48 000 |
| gpt 4 turbo | openai | ₽1 920/M | ₽5 760/M | ₽67 200 |
| O1 | openai | ₽2 300/M | ₽7 200/M | ₽82 000 |
| o3 pro | openai | ₽2 000/M | ₽8 500/M | ₽82 500 |
| claude opus 4 | anthropic | ₽2 880/M | ₽14 400/M | ₽129 600 |
| gpt 4 | openai | ₽5 760/M | ₽11 520/M | ₽172 800 |
| gpt 5 pro | openai | ₽2 880/M | ₽23 040/M | ₽172 800 |
| gpt 5.2 pro | openai | ₽4 032/M | ₽32 256/M | ₽241 920 |
| gpt 5.4 pro | openai | ₽5 760/M | ₽34 560/M | ₽288 000 |
| gpt 5.5 pro | openai | ₽5 760/M | ₽34 560/M | ₽288 000 |
| o1 pro | openai | ₽15 000/M | ₽70 000/M | ₽650 000 |
Изображения
за изображение · 2
▼
Изображения
за изображение · 2
| Модель | Maker | Цена |
|---|---|---|
| seedream-4.5 | seedream 4 5 | ₽6.53/изобр. |
| Qwen Image Edit | qwen image edit | ₽7.34/изобр. |
Видео и аудио
за секунду · 12
▼
Видео и аудио
за секунду · 12
| Модель | Maker | Цена |
|---|---|---|
| seedance 1 5 pro | seedance 1 5 pro | ₽1.06/сек |
| veo-3.1-lite | veo 3 1 lite | ₽4.90/сек |
| seedance-2.0 | seedance 2 0 | ₽4.94/сек |
| grok imagine video | grok imagine video | ₽8.16/сек |
| veo-3.1 | veo 3 1 | ₽13.06/сек |
| hailuo-2.3 | hailuo 2 3 | ₽13.33/сек |
| kling-v3.0-std | kling v3 0 std | ₽13.71/сек |
| wan-2.6 | wan 2 6 | ₽16.32/сек |
| wan-2.7 | wan 2 7 | ₽16.32/сек |
| kling video o1 | kling video o1 | ₽18.28/сек |
| kling-v3.0-pro | kling v3 0 pro | ₽18.28/сек |
| Sora 2 Pro | sora 2 pro | ₽48.96/сек |
Транскрипция
за минуту · 6
▼
Транскрипция
за минуту · 6
| Модель | Maker | Цена |
|---|---|---|
| Whisper Large V3 Turbo | whisper large v3 turbo | ₽0.13/мин |
| Whisper Large v3 | Whisper Large v3 | ₽0.36/мин |
| qwen3 asr flash 2026 02 10 | qwen3 asr flash 2026 02 10 | ₽0.40/мин |
| voxtral mini transcribe | voxtral mini transcribe | ₽0.58/мин |
| whisper 1 | openai | ₽1.15/мин |
| chirp 3 | chirp 3 | ₽3.07/мин |
Озвучка
за 1M символов · 5
▼
Озвучка
за 1M символов · 5
| Модель | Maker | Цена |
|---|---|---|
| gpt 4o mini tts | openai | ₽115/1M симв. |
| grok-voice-tts-1.0 | grok voice tts 1 0 | ₽2 880/1M симв. |
| tts 1 | openai | ₽2 880/1M симв. |
| voxtral mini tts 2603 | voxtral mini tts 2603 | ₽3 072/1M симв. |
| tts 1 hd | openai | ₽5 760/1M симв. |
За запрос
фиксированная цена за вызов · 3
▼
За запрос
фиксированная цена за вызов · 3
| Модель | Maker | Цена |
|---|---|---|
| rerank-v3.5 | rerank v3 5 | ₽0.16/вызов |
| rerank 4 fast | rerank 4 fast | ₽0.33/вызов |
| rerank 4 pro | rerank 4 pro | ₽0.41/вызов |
О провайдере
О сервисе
AITunnel позиционирует себя как лучшее соотношение цена/качество на российском рынке AI API. Заменяете base_url на api.aitunnel.ru/v1 — и все модели сторонних вендоров работают по единой схеме OpenAI SDK. Отдельная ценность — гибкие лимиты на ключах: можно разделить бюджеты между prod и staging без ручного контроля. Тарифы пересматриваются ежемесячно; на сайте заявлена гарантия конкурентных цен в РФ.
Как сравнивать на AI-APISHKA
Прямой ₽/1M без ratio. Сравнивайте input/output для нужной модели с RouterAI и Polza — у AITunnel часто конкурентные цены на Claude и Gemini.
Частые вопросы
- AITunnel хранит тексты моих запросов?
- Нет — сервис заявляет транзитный режим: данные запросов не хранятся и не анализируются на стороне AITunnel.
- Можно ли подключить AITunnel к Claude Code или LangChain?
- Да. Достаточно заменить Base URL на api.aitunnel.ru/v1 и указать API-ключ из панели — формат OpenAI-compatible.
- Как настроить лимиты расходов в AITunnel?
- В панели для каждого API-ключа задаётся бюджет и период автоматического сброса — удобно для разделения окружений.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
AITunnel предлагает 193 моделей AI API. Средняя цена — ₽830/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.77/M (pplx-embed-v1-0.6b).
Сравните цены на Whisper Large V3 Turbo , rerank-v3.5 , rerank 4 fast , Whisper Large v3 и qwen3 asr flash 2026 02 10 у других провайдеров или в каталоге агрегаторов . Данные обновлены 14.06.2026.