974+ моделей, все модальности — text, image, video, audio, embeddings
- Моделей
- 1029
- Средняя цена
- ₽1 430 862/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Credits (предоплата от $5)
- Биллинг
- за токены
- API
- OpenAI-compatible
5% markup поверх upstream; не 0% как Vercel AI Gateway · Поле input_per_million в API переиспользуется для non-token billing (second, image, minute) · Signup credit — только 7 моделей до первого top-up · Основной каталог — media (video/image); LLM text ~74 модели в modality=text
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
1029 моделей
Текст и чат
оплата за токены · 310
▼
Текст и чат
оплата за токены · 310
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge M3 | baai | ₽1.01/M | ₽1.01/M | ₽20 |
| qwen3-embedding-0.6b | qwen | ₽1.01/M | ₽1.01/M | ₽20 |
| plamo-embedding-1b | pfnet | ₽1.59/M | ₽1.59/M | ₽32 |
| Embeddinggemma 300m | ₽1.71/M | ₽1.71/M | ₽34 | |
| bge-small-en-v1.5 | baai | ₽1.73/M | ₽1.73/M | ₽35 |
| Gemma 2b It Lora | ₽2.57/M | ₽5.14/M | ₽77 | |
| granite-4.0-h-micro | ibm granite | ₽1.46/M | ₽9.59/M | ₽77 |
| Llama 2 7b Chat Hf Lora | meta llama | ₽3.42/M | ₽6.85/M | ₽103 |
| bge-base-en-v1.5 | baai | ₽5.70/M | ₽5.70/M | ₽114 |
| Qwen Text Embedding v3 | alibaba | ₽5.99/M | ₽5.99/M | ₽120 |
| mistral-7b-instruct-v0.2-lora | mistral | ₽4.28/M | ₽8.56/M | ₽128 |
| Llama 3.2 1B Preview | meta llama | ₽2.31/M | ₽17.21/M | ₽132 |
| Tongyi Embedding Vision Plus | alibaba | ₽7.70/M | ₽7.70/M | ₽154 |
| Qwen3 Rerank | alibaba | ₽8.56/M | ₽8.56/M | ₽171 |
| Qwen-VL OCR | alibaba | ₽5.99/M | ₽13.70/M | ₽188 |
| Gemma 7b It Lora | ₽6.85/M | ₽13.70/M | ₽205 | |
| Llama 3.2 3B | llama 3.2 3b | ₽4.36/M | ₽28.68/M | ₽231 |
| Qwen3 30b A3b Fp8 | qwen | ₽4.36/M | ₽28.68/M | ₽231 |
| Qwen-Omni Turbo | alibaba | ₽5.99/M | ₽23.11/M | ₽235 |
| GPT-4o Mini | gpt 4o mini | ₽6.42/M | ₽25.68/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen Flash | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen Flash Character | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen3-VL Flash | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| glm 4.7 flash | z ai | ₽5.18/M | ₽34.24/M | ₽275 |
| Qwen Turbo | qwen turbo | ₽4.28/M | ₽42.80/M | ₽300 |
| gemma 4 26b a4b it | ₽8.56/M | ₽25.68/M | ₽300 | |
| 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 |
| bge-large-en-v1.5 | baai | ₽17.46/M | ₽17.46/M | ₽349 |
| Qwen-MT Lite | alibaba | ₽10.27/M | ₽30.82/M | ₽360 |
| llama-3.1-8b-instruct-fp8 | meta | ₽13.01/M | ₽24.57/M | ₽383 |
| glm 5.3 flash | z ai | ₽12.84/M | ₽42.80/M | ₽471 |
| gpt oss 20b | openai | ₽17.12/M | ₽25.68/M | ₽471 |
| Qwen-MT Flash | alibaba | ₽13.70/M | ₽41.94/M | ₽484 |
| Qwen-MT Turbo | alibaba | ₽13.70/M | ₽41.94/M | ₽484 |
| deepseek v4 flash | deepseek | ₽17.12/M | ₽34.24/M | ₽514 |
| qwen3 32b | qwen | ₽13.70/M | ₽54.78/M | ₽548 |
| Qwen-VL Plus | alibaba | ₽17.98/M | ₽53.93/M | ₽629 |
| qwen3 30b a3b instruct 2507 | qwen | ₽17.12/M | ₽68.48/M | ₽685 |
| indictrans2-en-indic-1B | ai4bharat | ₽29.28/M | ₽29.28/M | ₽732 |
| m2m100-1.2b | meta | ₽29.28/M | ₽29.28/M | ₽732 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.84/M | ₽103/M | ₽770 |
| Qwen3 235B A22B Instruct | alibaba | ₽19.69/M | ₽78.75/M | ₽788 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽23.11/M | ₽72.76/M | ₽826 |
| gemma-sea-lion-v4-27b-it | aisingapore | ₽30.05/M | ₽47.51/M | ₽838 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽30.05/M | ₽47.51/M | ₽838 |
| Llama Guard 3 8b | meta | ₽41.43/M | ₽2.57/M | ₽841 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| gpt oss 120b | openai | ₽29.96/M | ₽64.20/M | ₽920 |
| minimax m2.7 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| Qwen3-VL Plus | alibaba | ₽17.12/M | ₽137/M | ₽1 027 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.6 flash | qwen | ₽21.40/M | ₽128/M | ₽1 070 |
| qwen3 coder flash | qwen | ₽25.68/M | ₽128/M | ₽1 156 |
| qwen3 coder next | qwen | ₽25.68/M | ₽128/M | ₽1 156 |
| qwen3 8b | qwen | ₽15.41/M | ₽180/M | ₽1 207 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| qwen3.5 35b a3b | qwen | ₽21.40/M | ₽171/M | ₽1 284 |
| qwen3 30b a3b | qwen | ₽17.12/M | ₽205/M | ₽1 370 |
| 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 |
| qwen3.7 plus | qwen | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3 235b a22b | qwen | ₽19.69/M | ₽197/M | ₽1 378 |
| Qwen3-Omni Flash | alibaba | ₽36.81/M | ₽142/M | ₽1 447 |
| Qwen Plus Character | alibaba | ₽42.80/M | ₽120/M | ₽1 455 |
| llama-3.3-70b-instruct-fp8-fast | meta | ₽25.08/M | ₽193/M | ₽1 466 |
| Nemotron 3 120b A12b | nvidia | ₽42.80/M | ₽128/M | ₽1 498 |
| qwen3.5 27b | qwen | ₽25.68/M | ₽205/M | ₽1 541 |
| qwen 2.5 coder 32b instruct | qwen | ₽56.50/M | ₽85.60/M | ₽1 558 |
| Qwq 32b | qwen | ₽56.50/M | ₽85.60/M | ₽1 558 |
| 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 | |
| qwen3.6 35b a3b | qwen | ₽32.10/M | ₽193/M | ₽1 605 |
| Qwen3.5-Omni Flash | alibaba | ₽34.24/M | ₽188/M | ₽1 626 |
| deepseek v3.2 | deepseek | ₽48.79/M | ₽146/M | ₽1 708 |
| qwen3.5 plus | qwen3.5 plus | ₽34.24/M | ₽205/M | ₽1 712 |
| qwen3.5 122b a10b | qwen | ₽34.24/M | ₽274/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.6 plus | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.8 27b | qwen | ₽38.52/M | ₽274/M | ₽2 140 |
| Qwen Plus | qwen plus | ₽34.24/M | ₽342/M | ₽2 397 |
| qwen3 14b | qwen | ₽29.96/M | ₽360/M | ₽2 397 |
| qwen3.5 397b a17b | qwen | ₽51.36/M | ₽308/M | ₽2 568 |
| qwen3.6 27b | qwen | ₽51.36/M | ₽308/M | ₽2 568 |
| Qwen-VL Max | alibaba | ₽68.48/M | ₽274/M | ₽2 739 |
| gemini 3.7 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽42.54/M | ₽418/M | ₽2 940 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| grok 4.3 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| kimi k2.6 | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| kimi k2.7 code | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| qwen3 coder plus | qwen | ₽85.60/M | ₽428/M | ₽3 852 |
| deepseek v4 pro | deepseek | ₽113/M | ₽339/M | ₽3 955 |
| glm 5.1 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.2 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.3 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| GPT-4o | gpt 4o | ₽107/M | ₽428/M | ₽4 280 |
| Qwen3 Max | qwen3 max | ₽103/M | ₽514/M | ₽4 622 |
| Qwen Max | qwen max | ₽137/M | ₽548/M | ₽5 478 |
| Qwen3.6 Max | qwen3.6 max | ₽111/M | ₽668/M | ₽5 564 |
| gemini 3.6 flash | ₽128/M | ₽642/M | ₽5 778 | |
| qwen3 coder 480b a35b 07 25 | qwen | ₽128/M | ₽642/M | ₽5 778 |
| Qwen3.5-Omni Plus | alibaba | ₽120/M | ₽710/M | ₽5 949 |
| Grok 4.20 Non Reasoning | xai | ₽171/M | ₽514/M | ₽5 992 |
| Grok 4.20 Reasoning | xai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| qwen3.8 max | qwen | ₽171/M | ₽514/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| O3 | o3 | ₽171/M | ₽685/M | ₽6 848 |
| Qwen-MT Plus | alibaba | ₽211/M | ₽631/M | ₽7 366 |
| qwen3.7 max | qwen | ₽214/M | ₽642/M | ₽7 490 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gpt 5.6 sol | openai | ₽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 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| kimi k3 | moonshotai | ₽257/M | ₽1 284/M | ₽11 556 |
| 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 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| melotts | myshell ai | ₽21 400/M | ₽21 400/M | ₽428 004 |
| Ddcolor | bytedance | ₽85 601/M | ₽85 601/M | ₽1 712 014 |
| Sana | nvidia | ₽85 601/M | ₽85 601/M | ₽1 712 014 |
| Sana Sprint | nvidia | ₽214 002/M | ₽214 002/M | ₽4 280 035 |
| Flux Pro Erase | black forest labs | ₽342 403/M | ₽342 403/M | ₽6 848 056 |
| FLUX Virtual Try-On | black forest labs | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Hidream O1 Image Dev | hidream | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Luma Photon Flash | luma labs | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Luma Photon Flash Modify | luma labs | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Luma Photon Flash Reframe | luma labs | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Z Image Turbo Image To Image | alibaba | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Z Image Turbo Controlnet | alibaba | ₽556 405/M | ₽556 405/M | ₽11 128 091 |
| Sana v1.5 1.6B | nvidia | ₽642 005/M | ₽642 005/M | ₽12 840 105 |
| V4.0q [instant] | ideogram | ₽642 005/M | ₽642 005/M | ₽12 840 105 |
| Z Image Turbo Image To Image Lora | alibaba | ₽727 606/M | ₽727 606/M | ₽14 552 119 |
| Z Image Turbo Lora | alibaba | ₽727 606/M | ₽727 606/M | ₽14 552 119 |
| Ernie Image Turbo | baidu | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Hidream I1 Fast | hidream | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Hidream O1 Image | hidream | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Hidream O1 Image Dev Edit | hidream | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Hidream O1 Image Edit | hidream | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Qwen3-TTS Flash | alibaba | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Sana v1.5 4.8B | nvidia | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Z Image Base | alibaba | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Z Image Turbo Controlnet Lora | alibaba | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Z Image Turbo Inpaint | alibaba | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Qwen3-TTS Instruct Flash | alibaba | ₽984 408/M | ₽984 408/M | ₽19 688 161 |
| Z Image Turbo Inpaint Lora | alibaba | ₽984 408/M | ₽984 408/M | ₽19 688 161 |
| Z Image Base Lora | alibaba | ₽1 027 208/M | ₽1 027 208/M | ₽20 544 168 |
| aura-1 | deepgram | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| Ernie Image Lora Turbo | baidu | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| Gemini 3.1 Flash TTS | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 | |
| Grok TTS | xai | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| Inworld TTS 1.5 Mini | inworld | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| tts 1 | openai | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| Luma Photon | luma labs | ₽1 626 413/M | ₽1 626 413/M | ₽32 528 266 |
| Luma Photon Modify | luma labs | ₽1 626 413/M | ₽1 626 413/M | ₽32 528 266 |
| Luma Photon Reframe | luma labs | ₽1 626 413/M | ₽1 626 413/M | ₽32 528 266 |
| Kokoro TTS | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Brazilian Portuguese) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (British English) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (French) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Hindi) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Italian) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Japanese) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Mandarin Chinese) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Spanish) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Qwen Image (Image To Image) | alibaba | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Qwen Image 2512 | alibaba | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Stable Diffusion 3.5 Medium | stability ai | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Z-Image Turbo Seamless Tiling | alibaba | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| ben-v2-image | prama labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| Chatterbox Text To Speech | resemble ai | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| Chatterbox Text To Speech Multilingual | resemble ai | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 [dev] | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 [dev] Redux | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 [schnell] Redux | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 Krea [dev] | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 Krea [dev] (Image To Image) | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 Krea [dev] Redux | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 SRPO [dev] | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 SRPO [dev] (Image To Image) | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| Inworld TTS 2 | inworld | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| Z-Image Turbo Seamless Tiling Lora | alibaba | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| aura-2-en | deepgram | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| aura-2-es | deepgram | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Bytedance Seed Speech Text to Speech | bytedance | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Ernie Image | baidu | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| FLUX.1 [dev] (Image To Image) | black forest labs | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Hidream I1 Dev | hidream | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Qwen Image Edit (Image To Image) | alibaba | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Qwen Image Edit 2509 | alibaba | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Qwen Image Edit 2511 | alibaba | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Qwen Image Edit Inpaint | alibaba | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| tts 1 hd | openai | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| PuLID Flux | black forest labs | ₽2 850 503/M | ₽2 850 503/M | ₽57 010 066 |
| Ernie Image Lora | baidu | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Kontext Lora | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Kontext Lora (Text To Image) | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Kontext Lora Inpaint | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Krea Lora Stream | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Lora Stream | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] Canny with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] Depth with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] Fill with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] Inpainting with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] with LoRAs (Image To Image) | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 Krea [dev] Inpainting with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 Krea [dev] with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 Krea [dev] with LoRAs (Image To Image) | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Inworld TTS 1.5 Max | inworld | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image 2512 Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Add Background | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Face To Full Portrait | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Group Photo | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Integrate Product | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Lighting Restoration | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Multiple Angles | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Next Scene | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Remove Element | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Remove Lighting | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Shirt Design | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2511 Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2511 Multiple Angles | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Add Background | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Face To Full Portrait | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Group Photo | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Integrate Product | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Lighting Restoration | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Multiple Angles | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Next Scene | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Remove Element | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Remove Lighting | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Shirt Design | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| bria genfill | bria genfill | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| Dia | nari labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| Flux Pro V1.1 | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| Flux Subject | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| FLUX.1 [dev] Control LoRA Canny | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| FLUX.1 [dev] Control LoRA Canny (Image To Image) | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| FLUX.1 [dev] Control LoRA Depth | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| FLUX.1 [dev] Control LoRA Depth (Image To Image) | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| Rundiffusion Photo Flux | rundiffusion fal | ₽3 852 032/M | ₽3 852 032/M | ₽77 040 630 |
| Eleven Flash v2.5 | elevenlabs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Eleven Turbo v2.5 | elevenlabs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| ElevenLabs TTS Turbo v2.5 | elevenlabs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| FLUX.1 [pro] Fill | black forest labs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| FLUX1.1 [pro] Redux | black forest labs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| FLUX1.1 [pro] ultra Redux | black forest labs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Glm Image | thudm | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Glm Image (Image To Image) | thudm | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Hidream I1 Full | hidream | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Hidream I1 Full (Image To Image) | hidream | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Qwen Audio 3.0 TTS (Flash) | alibaba | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| FLUX.1 [pro] Fill Fine-tuned | black forest labs | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| Minimax Preview Speech 2.5 Turbo | minimax | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| MiniMax Speech 2.6 [Turbo] | minimax | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| MiniMax Speech 2.8 Turbo | minimax | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| MiniMax Speech-02 Turbo | minimax | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| Stable Diffusion 3.5 Large | stability ai | ₽5 564 046/M | ₽5 564 046/M | ₽111 280 910 |
| Qwen 3 TTS - Text to Speech [0.6B] | alibaba | ₽5 992 049/M | ₽5 992 049/M | ₽119 840 980 |
| FLUX.1 [dev] with Controlnets and Loras | black forest labs | ₽6 420 053/M | ₽6 420 053/M | ₽128 401 050 |
| FLUX.1 [dev] with Controlnets and Loras (Image To Image) | black forest labs | ₽6 420 053/M | ₽6 420 053/M | ₽128 401 050 |
| FLUX.1 [dev] with Controlnets and Loras (Inpainting) | black forest labs | ₽6 420 053/M | ₽6 420 053/M | ₽128 401 050 |
| Lumina Image V2 | shanghai ai lab | ₽6 420 053/M | ₽6 420 053/M | ₽128 401 050 |
| Hunyuan Image 3.0 Instruct | tencent | ₽7 704 063/M | ₽7 704 063/M | ₽154 081 260 |
| Qwen 3 TTS - Text to Speech [1.7B] | alibaba | ₽7 704 063/M | ₽7 704 063/M | ₽154 081 260 |
| Qwen 3 TTS - Voice Design [1.7B] | alibaba | ₽7 704 063/M | ₽7 704 063/M | ₽154 081 260 |
| Cogview4 | thudm | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Eleven Multilingual v2 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Eleven v3 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Elevenlabs Text To Dialogue Eleven V3 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Elevenlabs Tts Eleven V3 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| ElevenLabs TTS Multilingual v2 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Hunyuan Image V2.1 (Text To Image) | tencent | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Hunyuan Image V3 (Text To Image) | tencent | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| IC-Light-v2 for Image Relighting | stanford | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Instant Character | tencent | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Minimax Preview Speech 2.5 Hd | minimax | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| MiniMax Speech 2.6 [HD] | minimax | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| MiniMax Speech 2.8 HD | minimax | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| MiniMax Speech-02 HD | minimax | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Omnigen V1 | vector space lab | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Uso | bytedance | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Longcat Image | meituan | ₽11 128 091/M | ₽11 128 091/M | ₽222 561 820 |
| Longcat Image Edit | meituan | ₽12 840 105/M | ₽12 840 105/M | ₽256 802 100 |
Изображения
за изображение · 260
▼
Изображения
за изображение · 260
Видео и аудио
за секунду · 281
▼
Видео и аудио
за секунду · 281
Транскрипция
за минуту · 16
▼
Транскрипция
за минуту · 16
| Модель | Maker | Цена |
|---|---|---|
| Whisper | openai | ₽0.04/мин |
| Whisper Tiny En | openai | ₽0.04/мин |
| Whisper Large V3 Turbo | openai | ₽0.04/мин |
| Grok STT | xai | ₽0.14/мин |
| AssemblyAI Universal-3 Pro | assemblyai | ₽0.30/мин |
| AssemblyAI Universal-3.5 Pro | assemblyai | ₽0.30/мин |
| nova-3 | deepgram | ₽0.45/мин |
| GPT-4o Transcribe | openai | ₽0.51/мин |
| flux | deepgram | ₽0.66/мин |
| ElevenLabs Speech to Text - Scribe V2 | elevenlabs | ₽0.68/мин |
| Vibevoice 0.5b | microsoft | ₽1.71/мин |
| ElevenLabs Speech to Text | elevenlabs | ₽2.57/мин |
| VibeVoice 1.5B | microsoft | ₽3.42/мин |
| VibeVoice 7B | microsoft | ₽3.42/мин |
| Seed Audio 1.0 | bytedance | ₽16.05/мин |
| Elevenlabs Music | elevenlabs | ₽51.36/мин |
За запрос
фиксированная цена за вызов · 161
▼
За запрос
фиксированная цена за вызов · 161
Текст и чат
оплата за токены · 310
▼
Текст и чат
оплата за токены · 310
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge M3 | baai | ₽1.01/M | ₽1.01/M | ₽20 |
| qwen3-embedding-0.6b | qwen | ₽1.01/M | ₽1.01/M | ₽20 |
| plamo-embedding-1b | pfnet | ₽1.59/M | ₽1.59/M | ₽32 |
| Embeddinggemma 300m | ₽1.71/M | ₽1.71/M | ₽34 | |
| bge-small-en-v1.5 | baai | ₽1.73/M | ₽1.73/M | ₽35 |
| Gemma 2b It Lora | ₽2.57/M | ₽5.14/M | ₽77 | |
| granite-4.0-h-micro | ibm granite | ₽1.46/M | ₽9.59/M | ₽77 |
| Llama 2 7b Chat Hf Lora | meta llama | ₽3.42/M | ₽6.85/M | ₽103 |
| bge-base-en-v1.5 | baai | ₽5.70/M | ₽5.70/M | ₽114 |
| Qwen Text Embedding v3 | alibaba | ₽5.99/M | ₽5.99/M | ₽120 |
| mistral-7b-instruct-v0.2-lora | mistral | ₽4.28/M | ₽8.56/M | ₽128 |
| Llama 3.2 1B Preview | meta llama | ₽2.31/M | ₽17.21/M | ₽132 |
| Tongyi Embedding Vision Plus | alibaba | ₽7.70/M | ₽7.70/M | ₽154 |
| Qwen3 Rerank | alibaba | ₽8.56/M | ₽8.56/M | ₽171 |
| Qwen-VL OCR | alibaba | ₽5.99/M | ₽13.70/M | ₽188 |
| Gemma 7b It Lora | ₽6.85/M | ₽13.70/M | ₽205 | |
| Llama 3.2 3B | llama 3.2 3b | ₽4.36/M | ₽28.68/M | ₽231 |
| Qwen3 30b A3b Fp8 | qwen | ₽4.36/M | ₽28.68/M | ₽231 |
| Qwen-Omni Turbo | alibaba | ₽5.99/M | ₽23.11/M | ₽235 |
| GPT-4o Mini | gpt 4o mini | ₽6.42/M | ₽25.68/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen Flash | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen Flash Character | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen3-VL Flash | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| glm 4.7 flash | z ai | ₽5.18/M | ₽34.24/M | ₽275 |
| Qwen Turbo | qwen turbo | ₽4.28/M | ₽42.80/M | ₽300 |
| gemma 4 26b a4b it | ₽8.56/M | ₽25.68/M | ₽300 | |
| 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 |
| bge-large-en-v1.5 | baai | ₽17.46/M | ₽17.46/M | ₽349 |
| Qwen-MT Lite | alibaba | ₽10.27/M | ₽30.82/M | ₽360 |
| llama-3.1-8b-instruct-fp8 | meta | ₽13.01/M | ₽24.57/M | ₽383 |
| glm 5.3 flash | z ai | ₽12.84/M | ₽42.80/M | ₽471 |
| gpt oss 20b | openai | ₽17.12/M | ₽25.68/M | ₽471 |
| Qwen-MT Flash | alibaba | ₽13.70/M | ₽41.94/M | ₽484 |
| Qwen-MT Turbo | alibaba | ₽13.70/M | ₽41.94/M | ₽484 |
| deepseek v4 flash | deepseek | ₽17.12/M | ₽34.24/M | ₽514 |
| qwen3 32b | qwen | ₽13.70/M | ₽54.78/M | ₽548 |
| Qwen-VL Plus | alibaba | ₽17.98/M | ₽53.93/M | ₽629 |
| qwen3 30b a3b instruct 2507 | qwen | ₽17.12/M | ₽68.48/M | ₽685 |
| indictrans2-en-indic-1B | ai4bharat | ₽29.28/M | ₽29.28/M | ₽732 |
| m2m100-1.2b | meta | ₽29.28/M | ₽29.28/M | ₽732 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.84/M | ₽103/M | ₽770 |
| Qwen3 235B A22B Instruct | alibaba | ₽19.69/M | ₽78.75/M | ₽788 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽23.11/M | ₽72.76/M | ₽826 |
| gemma-sea-lion-v4-27b-it | aisingapore | ₽30.05/M | ₽47.51/M | ₽838 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽30.05/M | ₽47.51/M | ₽838 |
| Llama Guard 3 8b | meta | ₽41.43/M | ₽2.57/M | ₽841 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| gpt oss 120b | openai | ₽29.96/M | ₽64.20/M | ₽920 |
| minimax m2.7 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| Qwen3-VL Plus | alibaba | ₽17.12/M | ₽137/M | ₽1 027 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.6 flash | qwen | ₽21.40/M | ₽128/M | ₽1 070 |
| qwen3 coder flash | qwen | ₽25.68/M | ₽128/M | ₽1 156 |
| qwen3 coder next | qwen | ₽25.68/M | ₽128/M | ₽1 156 |
| qwen3 8b | qwen | ₽15.41/M | ₽180/M | ₽1 207 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| qwen3.5 35b a3b | qwen | ₽21.40/M | ₽171/M | ₽1 284 |
| qwen3 30b a3b | qwen | ₽17.12/M | ₽205/M | ₽1 370 |
| 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 |
| qwen3.7 plus | qwen | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3 235b a22b | qwen | ₽19.69/M | ₽197/M | ₽1 378 |
| Qwen3-Omni Flash | alibaba | ₽36.81/M | ₽142/M | ₽1 447 |
| Qwen Plus Character | alibaba | ₽42.80/M | ₽120/M | ₽1 455 |
| llama-3.3-70b-instruct-fp8-fast | meta | ₽25.08/M | ₽193/M | ₽1 466 |
| Nemotron 3 120b A12b | nvidia | ₽42.80/M | ₽128/M | ₽1 498 |
| qwen3.5 27b | qwen | ₽25.68/M | ₽205/M | ₽1 541 |
| qwen 2.5 coder 32b instruct | qwen | ₽56.50/M | ₽85.60/M | ₽1 558 |
| Qwq 32b | qwen | ₽56.50/M | ₽85.60/M | ₽1 558 |
| 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 | |
| qwen3.6 35b a3b | qwen | ₽32.10/M | ₽193/M | ₽1 605 |
| Qwen3.5-Omni Flash | alibaba | ₽34.24/M | ₽188/M | ₽1 626 |
| deepseek v3.2 | deepseek | ₽48.79/M | ₽146/M | ₽1 708 |
| qwen3.5 plus | qwen3.5 plus | ₽34.24/M | ₽205/M | ₽1 712 |
| qwen3.5 122b a10b | qwen | ₽34.24/M | ₽274/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.6 plus | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.8 27b | qwen | ₽38.52/M | ₽274/M | ₽2 140 |
| Qwen Plus | qwen plus | ₽34.24/M | ₽342/M | ₽2 397 |
| qwen3 14b | qwen | ₽29.96/M | ₽360/M | ₽2 397 |
| qwen3.5 397b a17b | qwen | ₽51.36/M | ₽308/M | ₽2 568 |
| qwen3.6 27b | qwen | ₽51.36/M | ₽308/M | ₽2 568 |
| Qwen-VL Max | alibaba | ₽68.48/M | ₽274/M | ₽2 739 |
| gemini 3.7 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽42.54/M | ₽418/M | ₽2 940 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| grok 4.3 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| kimi k2.6 | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| kimi k2.7 code | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| qwen3 coder plus | qwen | ₽85.60/M | ₽428/M | ₽3 852 |
| deepseek v4 pro | deepseek | ₽113/M | ₽339/M | ₽3 955 |
| glm 5.1 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.2 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.3 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| GPT-4o | gpt 4o | ₽107/M | ₽428/M | ₽4 280 |
| Qwen3 Max | qwen3 max | ₽103/M | ₽514/M | ₽4 622 |
| Qwen Max | qwen max | ₽137/M | ₽548/M | ₽5 478 |
| Qwen3.6 Max | qwen3.6 max | ₽111/M | ₽668/M | ₽5 564 |
| gemini 3.6 flash | ₽128/M | ₽642/M | ₽5 778 | |
| qwen3 coder 480b a35b 07 25 | qwen | ₽128/M | ₽642/M | ₽5 778 |
| Qwen3.5-Omni Plus | alibaba | ₽120/M | ₽710/M | ₽5 949 |
| Grok 4.20 Non Reasoning | xai | ₽171/M | ₽514/M | ₽5 992 |
| Grok 4.20 Reasoning | xai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| qwen3.8 max | qwen | ₽171/M | ₽514/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| O3 | o3 | ₽171/M | ₽685/M | ₽6 848 |
| Qwen-MT Plus | alibaba | ₽211/M | ₽631/M | ₽7 366 |
| qwen3.7 max | qwen | ₽214/M | ₽642/M | ₽7 490 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gpt 5.6 sol | openai | ₽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 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| kimi k3 | moonshotai | ₽257/M | ₽1 284/M | ₽11 556 |
| 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 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| melotts | myshell ai | ₽21 400/M | ₽21 400/M | ₽428 004 |
| Ddcolor | bytedance | ₽85 601/M | ₽85 601/M | ₽1 712 014 |
| Sana | nvidia | ₽85 601/M | ₽85 601/M | ₽1 712 014 |
| Sana Sprint | nvidia | ₽214 002/M | ₽214 002/M | ₽4 280 035 |
| Flux Pro Erase | black forest labs | ₽342 403/M | ₽342 403/M | ₽6 848 056 |
| FLUX Virtual Try-On | black forest labs | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Hidream O1 Image Dev | hidream | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Luma Photon Flash | luma labs | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Luma Photon Flash Modify | luma labs | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Luma Photon Flash Reframe | luma labs | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Z Image Turbo Image To Image | alibaba | ₽428 004/M | ₽428 004/M | ₽8 560 070 |
| Z Image Turbo Controlnet | alibaba | ₽556 405/M | ₽556 405/M | ₽11 128 091 |
| Sana v1.5 1.6B | nvidia | ₽642 005/M | ₽642 005/M | ₽12 840 105 |
| V4.0q [instant] | ideogram | ₽642 005/M | ₽642 005/M | ₽12 840 105 |
| Z Image Turbo Image To Image Lora | alibaba | ₽727 606/M | ₽727 606/M | ₽14 552 119 |
| Z Image Turbo Lora | alibaba | ₽727 606/M | ₽727 606/M | ₽14 552 119 |
| Ernie Image Turbo | baidu | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Hidream I1 Fast | hidream | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Hidream O1 Image | hidream | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Hidream O1 Image Dev Edit | hidream | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Hidream O1 Image Edit | hidream | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Qwen3-TTS Flash | alibaba | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Sana v1.5 4.8B | nvidia | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Z Image Base | alibaba | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Z Image Turbo Controlnet Lora | alibaba | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Z Image Turbo Inpaint | alibaba | ₽856 007/M | ₽856 007/M | ₽17 120 140 |
| Qwen3-TTS Instruct Flash | alibaba | ₽984 408/M | ₽984 408/M | ₽19 688 161 |
| Z Image Turbo Inpaint Lora | alibaba | ₽984 408/M | ₽984 408/M | ₽19 688 161 |
| Z Image Base Lora | alibaba | ₽1 027 208/M | ₽1 027 208/M | ₽20 544 168 |
| aura-1 | deepgram | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| Ernie Image Lora Turbo | baidu | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| Gemini 3.1 Flash TTS | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 | |
| Grok TTS | xai | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| Inworld TTS 1.5 Mini | inworld | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| tts 1 | openai | ₽1 284 011/M | ₽1 284 011/M | ₽25 680 210 |
| Luma Photon | luma labs | ₽1 626 413/M | ₽1 626 413/M | ₽32 528 266 |
| Luma Photon Modify | luma labs | ₽1 626 413/M | ₽1 626 413/M | ₽32 528 266 |
| Luma Photon Reframe | luma labs | ₽1 626 413/M | ₽1 626 413/M | ₽32 528 266 |
| Kokoro TTS | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Brazilian Portuguese) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (British English) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (French) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Hindi) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Italian) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Japanese) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Mandarin Chinese) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Kokoro TTS (Spanish) | kokoro | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Qwen Image (Image To Image) | alibaba | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Qwen Image 2512 | alibaba | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Stable Diffusion 3.5 Medium | stability ai | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| Z-Image Turbo Seamless Tiling | alibaba | ₽1 712 014/M | ₽1 712 014/M | ₽34 240 280 |
| ben-v2-image | prama labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| Chatterbox Text To Speech | resemble ai | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| Chatterbox Text To Speech Multilingual | resemble ai | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 [dev] | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 [dev] Redux | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 [schnell] Redux | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 Krea [dev] | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 Krea [dev] (Image To Image) | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 Krea [dev] Redux | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 SRPO [dev] | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| FLUX.1 SRPO [dev] (Image To Image) | black forest labs | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| Inworld TTS 2 | inworld | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| Z-Image Turbo Seamless Tiling Lora | alibaba | ₽2 140 018/M | ₽2 140 018/M | ₽42 800 350 |
| aura-2-en | deepgram | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| aura-2-es | deepgram | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Bytedance Seed Speech Text to Speech | bytedance | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Ernie Image | baidu | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| FLUX.1 [dev] (Image To Image) | black forest labs | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Hidream I1 Dev | hidream | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Qwen Image Edit (Image To Image) | alibaba | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Qwen Image Edit 2509 | alibaba | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Qwen Image Edit 2511 | alibaba | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| Qwen Image Edit Inpaint | alibaba | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| tts 1 hd | openai | ₽2 568 021/M | ₽2 568 021/M | ₽51 360 420 |
| PuLID Flux | black forest labs | ₽2 850 503/M | ₽2 850 503/M | ₽57 010 066 |
| Ernie Image Lora | baidu | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Kontext Lora | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Kontext Lora (Text To Image) | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Kontext Lora Inpaint | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Krea Lora Stream | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Flux Lora Stream | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] Canny with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] Depth with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] Fill with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] Inpainting with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 [dev] with LoRAs (Image To Image) | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 Krea [dev] Inpainting with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 Krea [dev] with LoRAs | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| FLUX.1 Krea [dev] with LoRAs (Image To Image) | black forest labs | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Inworld TTS 1.5 Max | inworld | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image 2512 Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Add Background | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Face To Full Portrait | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Group Photo | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Integrate Product | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Lighting Restoration | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Multiple Angles | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Next Scene | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Remove Element | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Remove Lighting | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2509 Lora Gallery Shirt Design | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2511 Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit 2511 Multiple Angles | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Add Background | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Face To Full Portrait | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Group Photo | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Integrate Product | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Lighting Restoration | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Multiple Angles | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Next Scene | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Remove Element | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Remove Lighting | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| Qwen Image Edit Plus Lora Gallery Shirt Design | alibaba | ₽2 996 025/M | ₽2 996 025/M | ₽59 920 490 |
| bria genfill | bria genfill | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| Dia | nari labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| Flux Pro V1.1 | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| Flux Subject | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| FLUX.1 [dev] Control LoRA Canny | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| FLUX.1 [dev] Control LoRA Canny (Image To Image) | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| FLUX.1 [dev] Control LoRA Depth | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| FLUX.1 [dev] Control LoRA Depth (Image To Image) | black forest labs | ₽3 424 028/M | ₽3 424 028/M | ₽68 480 560 |
| Rundiffusion Photo Flux | rundiffusion fal | ₽3 852 032/M | ₽3 852 032/M | ₽77 040 630 |
| Eleven Flash v2.5 | elevenlabs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Eleven Turbo v2.5 | elevenlabs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| ElevenLabs TTS Turbo v2.5 | elevenlabs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| FLUX.1 [pro] Fill | black forest labs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| FLUX1.1 [pro] Redux | black forest labs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| FLUX1.1 [pro] ultra Redux | black forest labs | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Glm Image | thudm | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Glm Image (Image To Image) | thudm | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Hidream I1 Full | hidream | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Hidream I1 Full (Image To Image) | hidream | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| Qwen Audio 3.0 TTS (Flash) | alibaba | ₽4 280 035/M | ₽4 280 035/M | ₽85 600 700 |
| FLUX.1 [pro] Fill Fine-tuned | black forest labs | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| Minimax Preview Speech 2.5 Turbo | minimax | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| MiniMax Speech 2.6 [Turbo] | minimax | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| MiniMax Speech 2.8 Turbo | minimax | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| MiniMax Speech-02 Turbo | minimax | ₽5 136 042/M | ₽5 136 042/M | ₽102 720 840 |
| Stable Diffusion 3.5 Large | stability ai | ₽5 564 046/M | ₽5 564 046/M | ₽111 280 910 |
| Qwen 3 TTS - Text to Speech [0.6B] | alibaba | ₽5 992 049/M | ₽5 992 049/M | ₽119 840 980 |
| FLUX.1 [dev] with Controlnets and Loras | black forest labs | ₽6 420 053/M | ₽6 420 053/M | ₽128 401 050 |
| FLUX.1 [dev] with Controlnets and Loras (Image To Image) | black forest labs | ₽6 420 053/M | ₽6 420 053/M | ₽128 401 050 |
| FLUX.1 [dev] with Controlnets and Loras (Inpainting) | black forest labs | ₽6 420 053/M | ₽6 420 053/M | ₽128 401 050 |
| Lumina Image V2 | shanghai ai lab | ₽6 420 053/M | ₽6 420 053/M | ₽128 401 050 |
| Hunyuan Image 3.0 Instruct | tencent | ₽7 704 063/M | ₽7 704 063/M | ₽154 081 260 |
| Qwen 3 TTS - Text to Speech [1.7B] | alibaba | ₽7 704 063/M | ₽7 704 063/M | ₽154 081 260 |
| Qwen 3 TTS - Voice Design [1.7B] | alibaba | ₽7 704 063/M | ₽7 704 063/M | ₽154 081 260 |
| Cogview4 | thudm | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Eleven Multilingual v2 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Eleven v3 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Elevenlabs Text To Dialogue Eleven V3 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Elevenlabs Tts Eleven V3 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| ElevenLabs TTS Multilingual v2 | elevenlabs | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Hunyuan Image V2.1 (Text To Image) | tencent | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Hunyuan Image V3 (Text To Image) | tencent | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| IC-Light-v2 for Image Relighting | stanford | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Instant Character | tencent | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Minimax Preview Speech 2.5 Hd | minimax | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| MiniMax Speech 2.6 [HD] | minimax | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| MiniMax Speech 2.8 HD | minimax | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| MiniMax Speech-02 HD | minimax | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Omnigen V1 | vector space lab | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Uso | bytedance | ₽8 560 070/M | ₽8 560 070/M | ₽171 201 400 |
| Longcat Image | meituan | ₽11 128 091/M | ₽11 128 091/M | ₽222 561 820 |
| Longcat Image Edit | meituan | ₽12 840 105/M | ₽12 840 105/M | ₽256 802 100 |
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| Модель | Maker | Цена |
|---|---|---|
| Resnet 50 | microsoft | ₽0.0002/изобр. |
| Bge Reranker Base | baai | ₽0.0011/изобр. |
| Distilbert Sst 2 Int8 | huggingface | ₽0.0012/изобр. |
| moondream3.1-9B-A2B | moondream | ₽0.05/изобр. |
| dreamshaper-8-lcm | lykon | ₽0.07/изобр. |
| Flux 1 Schnell | black forest labs | ₽0.07/изобр. |
| Stable Diffusion Xl Lightning | bytedance | ₽0.07/изобр. |
| stable-diffusion-v1-5-inpainting | runwayml | ₽0.07/изобр. |
| stable-diffusion-xl-base-1.0 | stabilityai | ₽0.07/изобр. |
| Krea 2 Large | krea | ₽0.09/изобр. |
| Krea 2 Medium | krea | ₽0.09/изобр. |
| Krea 2 Medium Text to Image Turbo | krea | ₽0.09/изобр. |
| Seedvr Upscale Image | bytedance | ₽0.09/изобр. |
| Flux 2 Dev | black forest labs | ₽0.10/изобр. |
| Flux 2 Klein 4b | black forest labs | ₽0.10/изобр. |
| Flux 2 Klein 9b | black forest labs | ₽0.17/изобр. |
| Seedvr Upscale Image Seamless | bytedance | ₽0.21/изобр. |
| Luma Uni-1 Edit | luma | ₽0.26/изобр. |
| Luma Uni-1 Edit Max | luma | ₽0.26/изобр. |
| Luma Uni-1 Text to Image | luma | ₽0.26/изобр. |
| Luma Uni-1 Text to Image Max | luma | ₽0.26/изобр. |
| Recraft Crisp Upscale | recraft | ₽0.34/изобр. |
| EVF-SAM2 Segmentation | bytedance | ₽0.43/изобр. |
| Sam 3 Image Rle | meta | ₽0.43/изобр. |
| Segment Anything Model 3 | meta | ₽0.43/изобр. |
| Rembg Enhance (Remove Background Enhance) | smoretalk ai | ₽0.51/изобр. |
| FLUX 2 Turbo | black forest labs | ₽0.68/изобр. |
| FLUX.2 [klein] 4B (Edit) | black forest labs | ₽0.77/изобр. |
| Bitdance | bytedance | ₽0.86/изобр. |
| Chrono Edit | nvidia | ₽0.86/изобр. |
| Ideogram Remove Background | ideogram | ₽0.86/изобр. |
| Ideogram V4.0 Text to Image | ideogram | ₽0.86/изобр. |
| Ideogram V4.0q Image to Image | ideogram | ₽0.86/изобр. |
| Ideogram V4.0q Text to Image (LoRA) | ideogram | ₽0.86/изобр. |
| MiniMax (Hailuo AI) Text to Image | minimax | ₽0.86/изобр. |
| Minimax Image Subject Reference | minimax | ₽0.86/изобр. |
| Recraft Vectorize | recraft | ₽0.86/изобр. |
| Sam 3 1 Image | meta | ₽0.86/изобр. |
| Sam 3 1 Image Rle | meta | ₽0.86/изобр. |
| Topaz Denoise Image | topaz | ₽0.86/изобр. |
| Topaz Restore Image | topaz | ₽0.86/изобр. |
| Topaz Sharpen Image | topaz | ₽0.86/изобр. |
| Topaz Upscale Image Creative | topaz | ₽0.86/изобр. |
| Topaz Upscale Image Generative | topaz | ₽0.86/изобр. |
| Topaz Upscale Image Precision | topaz | ₽0.86/изобр. |
| Topaz Upscale Image Transparent | topaz | ₽0.86/изобр. |
| FLUX.2 [klein] 9B (Edit) | black forest labs | ₽0.94/изобр. |
| Ideogram V4.0q Image to Image LoRA | ideogram | ₽1.28/изобр. |
| Crystal Upscaler | clarityai | ₽1.37/изобр. |
| FLUX.2 [klein] 4B Base LoRA | black forest labs | ₽1.37/изобр. |
| FLUX.2 [klein] 4B Base LoRA (Edit) | black forest labs | ₽1.37/изобр. |
| Wan V2.2 5b (Text To Image) | alibaba | ₽1.37/изобр. |
| Bria RMBG 2.0 | bria | ₽1.54/изобр. |
| Chrono Edit Lora | nvidia | ₽1.71/изобр. |
| Extract Object | bria | ₽1.71/изобр. |
| FLUX.2 [klein] 9B Base LoRA | black forest labs | ₽1.71/изобр. |
| FLUX.2 [klein] 9B Base LoRA (Edit) | black forest labs | ₽1.71/изобр. |
| FLUX.2 [klein] 9B LoRA | black forest labs | ₽1.71/изобр. |
| Grok Imagine Image | xai | ₽1.71/изобр. |
| Grok Imagine Image (Edit) | xai | ₽1.71/изобр. |
| FLUX 2 Lora | black forest labs | ₽1.80/изобр. |
| FLUX 2 Lora Edit | black forest labs | ₽1.80/изобр. |
| Flux 2 Lora Gallery Add Background | black forest labs | ₽1.80/изобр. |
| Flux 2 Lora Gallery Apartment Staging | black forest labs | ₽1.80/изобр. |
| Flux 2 Lora Gallery Ballpoint Pen Sketch | black forest labs | ₽1.80/изобр. |
| Flux 2 Lora Gallery Digital Comic Art | black forest labs | ₽1.80/изобр. |
| Flux 2 Lora Gallery Face To Full Portrait | black forest labs | ₽1.80/изобр. |
| FLUX 2 Lora Gallery Hdr Style | black forest labs | ₽1.80/изобр. |
| Flux 2 Lora Gallery Multiple Angles | black forest labs | ₽1.80/изобр. |
| FLUX 2 Lora Gallery Realism | black forest labs | ₽1.80/изобр. |
| Flux 2 Lora Gallery Satellite View Style | black forest labs | ₽1.80/изобр. |
| Flux 2 Lora Gallery Sepia Vintage | black forest labs | ₽1.80/изобр. |
| Flux 2 Lora Gallery Virtual Tryon | black forest labs | ₽1.80/изобр. |
| Recraft 20b | recraft | ₽1.87/изобр. |
| Ideogram V2A Turbo | ideogram | ₽2.14/изобр. |
| Ideogram V2A Turbo Remix | ideogram | ₽2.14/изобр. |
| Wan 2.2 T2I Flash | alibaba | ₽2.14/изобр. |
| Wan V2.2 A14b (Text To Image) | alibaba | ₽2.14/изобр. |
| phoenix-1.0 | leonardo | ₽2.23/изобр. |
| Bria Text-to-Image Fast | bria | ₽2.40/изобр. |
| Kling Image O3 (Image To Image) | kuaishou | ₽2.40/изобр. |
| Kling Image O3 (Text To Image) | kuaishou | ₽2.40/изобр. |
| Kling Image V3 (Image To Image) | kuaishou | ₽2.40/изобр. |
| Kling Image V3 (Text To Image) | kuaishou | ₽2.40/изобр. |
| Kling O1 Image | kuaishou | ₽2.40/изобр. |
| Bytedance Seedream V4 Edit | bytedance | ₽2.57/изобр. |
| Chrono Edit Lora Gallery Upscaler | nvidia | ₽2.57/изобр. |
| Flux 2 Pro | black forest labs | ₽2.57/изобр. |
| FLUX 2 Pro Edit | black forest labs | ₽2.57/изобр. |
| FLUX 2 Pro Outpaint | black forest labs | ₽2.57/изобр. |
| Ideogram | ideogram | ₽2.57/изобр. |
| Ideogram Custom Models Generate | ideogram | ₽2.57/изобр. |
| Ideogram Object Removal | ideogram | ₽2.57/изобр. |
| Ideogram Replace Background | ideogram | ₽2.57/изобр. |
| Ideogram Transparent | ideogram | ₽2.57/изобр. |
| Ideogram V3 Edit | ideogram | ₽2.57/изобр. |
| Ideogram V3 Reframe | ideogram | ₽2.57/изобр. |
| Ideogram V3 Remix | ideogram | ₽2.57/изобр. |
| Qwen Image Edit Plus | alibaba | ₽2.57/изобр. |
| Qwen Image Plus | alibaba | ₽2.57/изобр. |
| Seedream 4.0 | bytedance | ₽2.57/изобр. |
| Wan 2.5 T2I Preview | alibaba | ₽2.57/изобр. |
| Wan 2.6 Image | alibaba | ₽2.57/изобр. |
| Wan 2.7 Image | alibaba | ₽2.57/изобр. |
| Wan V2.7 (Text To Image) | alibaba | ₽2.57/изобр. |
| Wan V2.7 Edit | alibaba | ₽2.57/изобр. |
| Z-Image Turbo | alibaba | ₽2.57/изобр. |
| lucid-origin | leonardo | ₽2.68/изобр. |
| Nano Banana 2 Lite | ₽2.88/изобр. | |
| Qwen Image | alibaba | ₽3.00/изобр. |
| Qwen Image 2.0 | alibaba | ₽3.00/изобр. |
| Recraft V4 Styles Text to Image | recraft | ₽3.00/изобр. |
| Recraft V4.1 Text to Image | recraft | ₽3.00/изобр. |
| Recraft V4.1 Text to Image Utility | recraft | ₽3.00/изобр. |
| Seedream (Edit) | bytedance | ₽3.00/изобр. |
| Seedream 5 Lite | bytedance | ₽3.00/изобр. |
| Stable Diffusion V3 | stability ai | ₽3.00/изобр. |
| Stable Diffusion V3 (Image To Image) | stability ai | ₽3.00/изобр. |
| Fibo Lite | bria | ₽3.08/изобр. |
| gemini 2.5 flash image | ₽3.31/изобр. | |
| Gemini 25 Flash Image | ₽3.41/изобр. | |
| Gemini 25 Flash Image Edit | ₽3.41/изобр. | |
| Nano Banana Edit | ₽3.41/изобр. | |
| Bria Background Replace | bria | ₽3.42/изобр. |
| Bria Eraser | bria | ₽3.42/изобр. |
| Bria Expand Image | bria | ₽3.42/изобр. |
| Bria GenFill | bria | ₽3.42/изобр. |
| Bria Product Dimensions | bria | ₽3.42/изобр. |
| Bria Product Shot | bria | ₽3.42/изобр. |
| Bria Reimagine | bria | ₽3.42/изобр. |
| Bria Text-to-Image Base | bria | ₽3.42/изобр. |
| Bria Text-to-Image HD | bria | ₽3.42/изобр. |
| Bytedance Seedream V4.5 Edit | bytedance | ₽3.42/изобр. |
| Cosmos 3 Super | nvidia | ₽3.42/изобр. |
| Embed Product | bria | ₽3.42/изобр. |
| Fibo | bria | ₽3.42/изобр. |
| Fibo Bbq Preview | bria | ₽3.42/изобр. |
| Fibo Edit | bria | ₽3.42/изобр. |
| Fibo Edit [Add Object by Text] | bria | ₽3.42/изобр. |
| Fibo Edit [Blend] | bria | ₽3.42/изобр. |
| Fibo Edit [Colorize] | bria | ₽3.42/изобр. |
| Fibo Edit [Erase by Text] | bria | ₽3.42/изобр. |
| Fibo Edit [Relight] | bria | ₽3.42/изобр. |
| Fibo Edit [Replace Object by Text] | bria | ₽3.42/изобр. |
| Fibo Edit [Reseason] | bria | ₽3.42/изобр. |
| Fibo Edit [Restore] | bria | ₽3.42/изобр. |
| Fibo Edit [Restyle] | bria | ₽3.42/изобр. |
| Fibo Edit [Rewrite Text] | bria | ₽3.42/изобр. |
| Fibo Edit [Sketch to Image] | bria | ₽3.42/изобр. |
| Fibo Edit 1.5 Image Editing | bria | ₽3.42/изобр. |
| Fibo Gen 1.5 Text to Image | bria | ₽3.42/изобр. |
| FLUX.1 Kontext [pro] | black forest labs | ₽3.42/изобр. |
| FLUX.1 Kontext [pro] | black forest labs | ₽3.42/изобр. |
| FLUX.1 Kontext [pro] (Multi) | black forest labs | ₽3.42/изобр. |
| FLUX.1 Kontext [pro] (Text To Image) | black forest labs | ₽3.42/изобр. |
| gpt image 1.5 | openai | ₽3.42/изобр. |
| gpt image 2 | gpt image 2 | ₽3.42/изобр. |
| Ideogram V2A | ideogram | ₽3.42/изобр. |
| Ideogram V2A Remix | ideogram | ₽3.42/изобр. |
| Ideogram V4.0q Tiling | ideogram | ₽3.42/изобр. |
| Qwen Image 3.0 Pro | alibaba | ₽3.42/изобр. |
| Recraft V3 | recraft | ₽3.42/изобр. |
| Recraft V3 (Image To Image) | recraft | ₽3.42/изобр. |
| Recraft V4 | recraft | ₽3.42/изобр. |
| Recraft V4.1 | recraft | ₽3.42/изобр. |
| Recraft V4.1 Utility | recraft | ₽3.42/изобр. |
| Replace Background | bria | ₽3.42/изобр. |
| Seedream 4.5 | bytedance | ₽3.42/изобр. |
| Upscale | bria | ₽3.42/изобр. |
| Ideogram V4.0q Tiling LoRA | ideogram | ₽3.85/изобр. |
| Qwen Image Edit | alibaba | ₽3.85/изобр. |
| Seedream 5 Pro | bytedance | ₽3.85/изобр. |
| Dreamomni2 Edit | bytedance | ₽4.28/изобр. |
| Flux 2 Flex Edit | black forest labs | ₽4.28/изобр. |
| FLUX.2 [flex] | black forest labs | ₽4.28/изобр. |
| Grok Imagine Image Quality | xai | ₽4.28/изобр. |
| Ideogram V2 Turbo | ideogram | ₽4.28/изобр. |
| Ideogram V2 Turbo Edit | ideogram | ₽4.28/изобр. |
| Ideogram V2 Turbo Remix | ideogram | ₽4.28/изобр. |
| Ideogram V3 Character | ideogram | ₽4.28/изобр. |
| Ideogram V3 Character Edit | ideogram | ₽4.28/изобр. |
| Ideogram V3 Character Remix | ideogram | ₽4.28/изобр. |
| Qwen Image Layered | alibaba | ₽4.28/изобр. |
| Recraft V4 Styles Text to Vector | recraft | ₽4.28/изобр. |
| Vidu Q2 (Text To Image) | vidu | ₽4.28/изобр. |
| Vidu Q2 Reference To Image | vidu | ₽4.28/изобр. |
| Vidu Reference To Image | vidu | ₽4.28/изобр. |
| Wan 2.2 T2I Plus | alibaba | ₽4.28/изобр. |
| Wan 2.5 Image to Image | alibaba | ₽4.28/изобр. |
| Wan 2.5 Text to Image | alibaba | ₽4.28/изобр. |
| Wan V2.2 A14b (Image To Image) | alibaba | ₽4.28/изобр. |
| Wan v2.2 A14B Text-to-Image A14B with LoRAs | alibaba | ₽4.28/изобр. |
| FLUX1.1 [pro] ultra | black forest labs | ₽5.14/изобр. |
| Grok Imagine Image 2.0 | xai | ₽5.14/изобр. |
| Ideogram Upscale | ideogram | ₽5.14/изобр. |
| Qwen Image Layered Lora | alibaba | ₽5.14/изобр. |
| Seedream 5.0 Pro Image Editing | bytedance | ₽5.78/изобр. |
| Flux 2 Max Edit | black forest labs | ₽5.99/изобр. |
| FLUX.2 [max] | black forest labs | ₽5.99/изобр. |
| FLUX1.1 [pro] ultra Fine-tuned | black forest labs | ₽5.99/изобр. |
| Kling Kolors Virtual TryOn v1.5 | kuaishou | ₽5.99/изобр. |
| FASHN Virtual Try-On V1.5 | fashn ai | ₽6.42/изобр. |
| FASHN Virtual Try-On V1.6 | fashn ai | ₽6.42/изобр. |
| Google Virtual Try On | ₽6.42/изобр. | |
| Qwen Image 2.0 Pro | alibaba | ₽6.42/изобр. |
| Qwen Image Edit Max | alibaba | ₽6.42/изобр. |
| Qwen Image Max | alibaba | ₽6.42/изобр. |
| Qwen Image Max Edit | alibaba | ₽6.42/изобр. |
| Wan 2.7 Image Pro | alibaba | ₽6.42/изобр. |
| FLUX.1 Kontext [max] | black forest labs | ₽6.85/изобр. |
| FLUX.1 Kontext [max] | black forest labs | ₽6.85/изобр. |
| FLUX.1 Kontext [max] (Multi) | black forest labs | ₽6.85/изобр. |
| FLUX.1 Kontext [max] (Text To Image) | black forest labs | ₽6.85/изобр. |
| Gemini 3.1 Flash Image Preview Edit | ₽6.85/изобр. | |
| Ideogram V2 Edit | ideogram | ₽6.85/изобр. |
| Ideogram V2 Remix | ideogram | ₽6.85/изобр. |
| Nano Banana 2 Edit | ₽6.85/изобр. | |
| Recraft V4 (Vector) | recraft | ₽6.85/изобр. |
| Recraft V4 SVG | recraft | ₽6.85/изобр. |
| Recraft V4.1 SVG | recraft | ₽6.85/изобр. |
| Recraft V4.1 Text to Vector | recraft | ₽6.85/изобр. |
| Recraft V4.1 Utility SVG | recraft | ₽6.85/изобр. |
| Ideogram V3 Layerize Text | ideogram | ₽7.70/изобр. |
| Bagel | bytedance | ₽8.56/изобр. |
| Bagel Edit | bytedance | ₽8.56/изобр. |
| Flux Vision Upscaler | black forest labs | ₽8.56/изобр. |
| Recraft V4 Styles Pro Text to Image | recraft | ₽8.56/изобр. |
| Recraft V4 Styles Pro Text to Vector | recraft | ₽10.27/изобр. |
| gemini 3 pro image | ₽11.50/изобр. | |
| Emu 3.5 Image (Text To Image) | meta | ₽12.84/изобр. |
| Emu 3.5 Image Edit Image | meta | ₽12.84/изобр. |
| Gemini 3 Pro Image Preview Edit | ₽12.84/изобр. | |
| Hunyuan_world | tencent | ₽12.84/изобр. |
| Nano Banana Pro Edit | ₽12.84/изобр. | |
| Recraft V4.1 Text to Image Pro | recraft | ₽17.98/изобр. |
| Recraft V4.1 Utility Text to Image | recraft | ₽17.98/изобр. |
| Recraft Creative Upscale | recraft | ₽21.40/изобр. |
| Recraft V4 Pro | recraft | ₽21.40/изобр. |
| Recraft V4.1 Pro | recraft | ₽21.40/изобр. |
| Recraft V4.1 Utility Pro | recraft | ₽21.40/изобр. |
| Reve 2.1 (Text To Image) | reve | ₽21.40/изобр. |
| Reve 2.1 Edit | reve | ₽21.40/изобр. |
| Reve 2.1 Remix | reve | ₽21.40/изобр. |
| Recraft V4 Pro (Vector) | recraft | ₽25.68/изобр. |
| Recraft V4 Pro SVG | recraft | ₽25.68/изобр. |
| Recraft V4.1 Pro SVG | recraft | ₽25.68/изобр. |
| Recraft V4.1 Text to Vector Pro | recraft | ₽25.68/изобр. |
| Recraft V4.1 Utility Pro SVG | recraft | ₽25.68/изобр. |
| Gpt Image 1 (Text To Image) | openai | ₽85.60/изобр. |
| Gpt Image 1 Edit Image | openai | ₽85.60/изобр. |
| gpt image 1 mini | openai | ₽85.60/изобр. |
| Gpt Image 1 Mini Edit | openai | ₽85.60/изобр. |
| Gpt Image 1.5 Edit | openai | ₽85.60/изобр. |
| GPT Image 2 API (Edit) | openai | ₽85.60/изобр. |
| Mai Image 2.5 | microsoft | ₽85.60/изобр. |
| Moondream3 Preview [Segment] | moondream | ₽85.60/изобр. |
| Nano Banana Lite | ₽85.60/изобр. | |
| Nano Banana Lite Edit | ₽85.60/изобр. | |
| MAI Image 2.5 Pro (Edit) | microsoft | ₽128/изобр. |
| MAI Image 2.5 Pro (Text to Image) | microsoft | ₽128/изобр. |
Видео и аудио
за секунду · 281
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Видео и аудио
за секунду · 281
Транскрипция
за минуту · 16
▼
Транскрипция
за минуту · 16
| Модель | Maker | Цена |
|---|---|---|
| Whisper | openai | ₽0.04/мин |
| Whisper Tiny En | openai | ₽0.04/мин |
| Whisper Large V3 Turbo | openai | ₽0.04/мин |
| Grok STT | xai | ₽0.14/мин |
| AssemblyAI Universal-3 Pro | assemblyai | ₽0.30/мин |
| AssemblyAI Universal-3.5 Pro | assemblyai | ₽0.30/мин |
| nova-3 | deepgram | ₽0.45/мин |
| GPT-4o Transcribe | openai | ₽0.51/мин |
| flux | deepgram | ₽0.66/мин |
| ElevenLabs Speech to Text - Scribe V2 | elevenlabs | ₽0.68/мин |
| Vibevoice 0.5b | microsoft | ₽1.71/мин |
| ElevenLabs Speech to Text | elevenlabs | ₽2.57/мин |
| VibeVoice 1.5B | microsoft | ₽3.42/мин |
| VibeVoice 7B | microsoft | ₽3.42/мин |
| Seed Audio 1.0 | bytedance | ₽16.05/мин |
| Elevenlabs Music | elevenlabs | ₽51.36/мин |
За запрос
фиксированная цена за вызов · 161
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За запрос
фиксированная цена за вызов · 161
О провайдере
О сервисе
AIgateway позиционируется как «universal AI API» — не только LLM-роутер, а полный multimodal pipeline: POST /v1/chat/completions, /v1/images/generations, /v1/videos/generations (async), /v1/audio/speech, /v1/embeddings. Уникальные фичи: Auto Router с прозрачными X-Routing-* headers, eval runs, request replays, sub-account keys. На AI-APISHKA — все модели с parsed pricing из /v1/models; token-модели — flat $/1M, video/image — per-second/per-image.
Как сравнивать на AI-APISHKA
Сравнивайте LLM $/1M с OpenRouter, Requesty, Vercel Gateway. Учитывайте 5% fee и cache savings (50% на cached input). Для generative media — сравнение с fal.ai по per-image/per-second на overlap.
Частые вопросы
- Где цены AIgateway?
- GET https://api.aigateway.sh/v1/models — pricing.input_per_million / output_per_million + billing_unit (token|second|image|…).
- Чем AIgateway отличается от OpenRouter?
- Шире по модальностям (video, music, 3D, OCR), Auto Router, MCP, sub-accounts/evals. OpenRouter — больше LLM-only моделей; AIgateway — +5% fee vs ~5% у OpenRouter.
- Как работает Auto Router?
- model:"auto" или model:"auto/text" — роутер выбирает cheapest model в curated pool ниже baseline_model. Headers X-Routing-Selected, X-Auto-Savings-Cents.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
AIgateway предлагает 1029 моделей AI API. Средняя цена — ₽1 430 862/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.01/M (Bge M3).
Сравните цены на Resnet 50 , Bge Reranker Base , Distilbert Sst 2 Int8 , Qwen3-ASR Flash и Ace Step у других провайдеров или в каталоге агрегаторов . Данные обновлены 30.08.2026.