Serverless GPU inference: 142 модели, $/1M tokens и pay-per-image
- Моделей
- 175
- Средняя цена
- ₽87/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Pay-as-you-go
- Биллинг
- за токены
- API
- OpenAI-compatible
input_seconds (STT) и input_characters (TTS) — другие unit, не $/1M tokens
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 = 83.76 ₽ · 1 CNY = 12.4991 ₽ · 16.10.2026
175 моделей
Текст и чат
оплата за токены · 118
▼
Текст и чат
оплата за токены · 118
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Embeddinggemma 300m | ₽0.17/M | ₽0.17/M | ₽3 | |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| bge-base-en-v1.5 | baai | ₽0.42/M | ₽0.42/M | ₽8 |
| clip-ViT-B-32 | sentence transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| clip-ViT-B-32-multilingual-v1 | sentence transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| E5-Base-v2 | Intfloat | ₽0.42/M | ₽0.42/M | ₽8 |
| GTE-Base | Thenlper | ₽0.42/M | ₽0.42/M | ₽8 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| text2vec-base-chinese | shibing624 | ₽0.42/M | ₽0.42/M | ₽8 |
| Bge En Icl | BAAI | ₽0.84/M | ₽0.84/M | ₽17 |
| Bge M3 | baai | ₽0.84/M | ₽0.84/M | ₽17 |
| Bge M3 Multi | BAAI | ₽0.84/M | ₽0.84/M | ₽17 |
| Bge M3 Multi 8k | BAAI | ₽0.84/M | ₽0.84/M | ₽17 |
| bge-large-en-v1.5 | baai | ₽0.84/M | ₽0.84/M | ₽17 |
| E5-Large-v2 | Intfloat | ₽0.84/M | ₽0.84/M | ₽17 |
| GTE-Large | Thenlper | ₽0.84/M | ₽0.84/M | ₽17 |
| Llama Nemotron Embed Vl 1b V2 | NVIDIA | ₽0.84/M | ₽0.84/M | ₽17 |
| Multilingual-E5-Large | Intfloat | ₽0.84/M | ₽0.84/M | ₽17 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.84/M | ₽0.84/M | ₽17 |
| qwen3-embedding-0.6b | Qwen | ₽0.84/M | ₽0.84/M | ₽17 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.68/M | ₽1.68/M | ₽34 |
| Meta-Llama-3.1-8B-Instruct-Turbo | Meta | ₽1.68/M | ₽3.35/M | ₽50 |
| Mistral-Nemo-Instruct-2407 | Mistral | ₽2.43/M | ₽2.51/M | ₽61 |
| L3-8B-Lunaris-v1-Turbo | Sao10K | ₽3.35/M | ₽4.19/M | ₽88 |
| gpt oss 20b | OpenAI | ₽2.51/M | ₽11.73/M | ₽109 |
| Mistral Small 3 | Mistral | ₽4.19/M | ₽6.70/M | ₽117 |
| Gemma 3 4B | ₽4.19/M | ₽8.38/M | ₽126 | |
| gpt oss 120b | OpenAI | ₽3.10/M | ₽14.24/M | ₽133 |
| gemma 3 12b it | ₽4.19/M | ₽12.56/M | ₽147 | |
| Nemotron 3.5 Lightning | NVIDIA | ₽5.03/M | ₽13.40/M | ₽168 |
| deepseek v4 flash | DeepSeek | ₽5.03/M | ₽15.08/M | ₽176 |
| Ling 3.0 Flash | inclusionAI | ₽5.03/M | ₽15.08/M | ₽176 |
| Ling 3.0 Flash VL | inclusionAI | ₽5.03/M | ₽15.08/M | ₽176 |
| Phi 4 | Microsoft | ₽5.86/M | ₽11.73/M | ₽176 |
| gemma 3 27b it | ₽6.70/M | ₽13.40/M | ₽201 | |
| Granite 4.2 8B | IBM | ₽5.03/M | ₽20.94/M | ₽205 |
| Mistral-Small-3.2-24B-Instruct-2506 | Mistral | ₽6.28/M | ₽16.75/M | ₽209 |
| qwen3.5 9b | Qwen | ₽8.38/M | ₽12.56/M | ₽230 |
| Qwen3 32B | Qwen | ₽6.70/M | ₽23.45/M | ₽251 |
| gemma 4 26b a4b it | ₽5.86/M | ₽28.48/M | ₽260 | |
| gemma-4-31B-it-turbo | ₽7.54/M | ₽28.48/M | ₽293 | |
| Llama 4 Scout 17b 16e Instruct | Meta | ₽8.38/M | ₽25.13/M | ₽293 |
| Llama-3.3-70B-Instruct-Turbo | Meta | ₽8.38/M | ₽26.80/M | ₽302 |
| Qwen3 14B | Qwen | ₽10.05/M | ₽20.10/M | ₽302 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽7.12/M | ₽33.50/M | ₽310 |
| Dola-Seed 2.0 Mini | ByteDance | ₽8.38/M | ₽33.50/M | ₽335 |
| qwen3.8 flash | Qwen | ₽9.46/M | ₽32.00/M | ₽349 |
| MiMo-V2.6-Flash | Xiaomi | ₽11.73/M | ₽23.45/M | ₽352 |
| Llama Guard 4 12B | Meta | ₽15.08/M | ₽15.08/M | ₽377 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽7.54/M | ₽46.07/M | ₽381 |
| Qwen3 30B A3B | Qwen | ₽10.05/M | ₽41.88/M | ₽410 |
| Nemotron-Content-Safety-3.5 | NVIDIA | ₽16.75/M | ₽16.75/M | ₽419 |
| glm 5.3 flash | Z.ai | ₽12.56/M | ₽41.88/M | ₽461 |
| gemma 4 31b it | ₽16.75/M | ₽33.50/M | ₽503 | |
| gpt-oss-120b-Turbo | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.56/M | ₽50.26/M | ₽503 |
| qwen3.6 35b a3b | Qwen | ₽8.38/M | ₽79.57/M | ₽565 |
| deepseek v4.1 flash | DeepSeek | ₽16.75/M | ₽50.26/M | ₽586 |
| deepseek v3.2 | DeepSeek | ₽21.78/M | ₽31.83/M | ₽595 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.54/M | ₽92.14/M | ₽611 |
| Qwen3.5-35B-A3B | Qwen | ₽11.73/M | ₽83.76/M | ₽653 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽16.75/M | ₽73.71/M | ₽704 |
| gpt-oss-120b-Ultra | OpenAI | ₽16.75/M | ₽79.57/M | ₽733 |
| Nemotron 3.5 Super VL | NVIDIA | ₽16.75/M | ₽83.76/M | ₽754 |
| gemma-4-31B-it-Ultra | ₽22.62/M | ₽63.66/M | ₽771 | |
| qwen 2.5 72b instruct | Qwen | ₽30.15/M | ₽33.50/M | ₽771 |
| deepseek ai · DeepSeek-V3.1 | DeepSeek | ₽20.94/M | ₽79.57/M | ₽817 |
| Meta-Llama-3.1-70B-Instruct-Turbo | Meta | ₽33.50/M | ₽33.50/M | ₽838 |
| MythoMax 13B | gryphe | ₽33.50/M | ₽33.50/M | ₽838 |
| Ling 3.1 Flash | inclusionAI | ₽25.13/M | ₽75.38/M | ₽879 |
| DeepSeek-V3 | DeepSeek | ₽26.80/M | ₽74.55/M | ₽909 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽25.13/M | ₽83.76/M | ₽921 |
| minimax m3 | MiniMax | ₽23.45/M | ₽92.14/M | ₽930 |
| Muse Glimmer 30B | Meta | ₽25.13/M | ₽101/M | ₽1 005 |
| gemini 3.1 flash lite | ₽20.94/M | ₽126/M | ₽1 047 | |
| MiMo-V2.6-Pro | Xiaomi | ₽36.02/M | ₽72.87/M | ₽1 085 |
| ByteDance Seed 1.8 | ByteDance | ₽20.94/M | ₽168/M | ₽1 256 |
| Inkling Small | Thinking Machines | ₽37.69/M | ₽101/M | ₽1 256 |
| deepseek v4 flash vision | DeepSeek | ₽36.85/M | ₽111/M | ₽1 290 |
| qwen3.8 27b | Qwen | ₽16.75/M | ₽209/M | ₽1 382 |
| glm 4.7 | Z.ai | ₽33.50/M | ₽147/M | ₽1 403 |
| Hermes 3 70B Instruct | Nous | ₽58.63/M | ₽58.63/M | ₽1 466 |
| Qwen3.5-27B | Qwen | ₽21.78/M | ₽218/M | ₽1 524 |
| gemini 2.5 flash | ₽25.13/M | ₽209/M | ₽1 550 | |
| GLM 4.6 | Z.ai | ₽41.88/M | ₽168/M | ₽1 675 |
| deepseek r1 | DeepSeek | ₽41.88/M | ₽180/M | ₽1 738 |
| NVIDIA-Nemotron-3-Ultra-550B-A55B | NVIDIA | ₽41.88/M | ₽184/M | ₽1 759 |
| L3.1-70B-Euryale-v2.2 | Sao10K | ₽71.20/M | ₽71.20/M | ₽1 780 |
| qwen3.6 27b | Qwen | ₽26.80/M | ₽268/M | ₽1 876 |
| qwen3.5 397b a17b | Qwen | ₽37.69/M | ₽251/M | ₽2 010 |
| Dola-Seed 2.0 Pro | ByteDance | ₽41.88/M | ₽251/M | ₽2 094 |
| Seed-2.0-code | ByteDance | ₽41.88/M | ₽251/M | ₽2 094 |
| Hermes 3 405B Instruct | Nous | ₽83.76/M | ₽83.76/M | ₽2 094 |
| glm 5.2 | Z.ai | ₽62.82/M | ₽201/M | ₽2 262 |
| Hy4 preview | Tencent | ₽69.86/M | ₽209/M | ₽2 445 |
| kimi k2.6 | MoonshotAI | ₽62.82/M | ₽293/M | ₽2 722 |
| Step 5 Preview | StepFun | ₽83.76/M | ₽226/M | ₽2 806 |
| gemini 3.7 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| glm 5.3 | Z.ai | ₽75.38/M | ₽335/M | ₽3 183 |
| deepseek v4 pro | DeepSeek | ₽109/M | ₽218/M | ₽3 267 |
| claude haiku 4.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| qwen3.8 max | Qwen | ₽138/M | ₽415/M | ₽4 838 |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 282 | |
| gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 282 | |
| qwen3.7 max | Qwen | ₽209/M | ₽628/M | ₽7 329 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Gemini 3.1 Pro | ₽168/M | ₽1 005/M | ₽8 376 | |
| kimi k3 | MoonshotAI | ₽239/M | ₽1 194/M | ₽10 742 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 5 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude opus 5.5 | Anthropic | ₽335/M | ₽1 675/M | ₽15 077 |
| claude opus 4.7 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.8 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude fable 5 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
Изображения
за изображение · 25
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Изображения
за изображение · 25
| Модель | Maker | Цена |
|---|---|---|
| Sdxl Turbo | stabilityai | ₽0.02/изобр. |
| Flux 1 Schnell | Black Forest Labs | ₽0.04/изобр. |
| p-image | PrunaAI | ₽0.42/изобр. |
| FLUX.1 [dev] | Black Forest Labs | ₽0.75/изобр. |
| Flux 2 Dev | Black Forest Labs | ₽0.84/изобр. |
| FLUX-1-Redux-dev | Black Forest Labs | ₽1.01/изобр. |
| Flux 2 Klein 4b | Black Forest Labs | ₽1.17/изобр. |
| Flux 2 Klein 9b | Black Forest Labs | ₽1.26/изобр. |
| flux 2 pro | Black Forest Labs | ₽1.26/изобр. |
| remove_background | Bria | ₽1.51/изобр. |
| remove_background_guided | Bria | ₽2.51/изобр. |
| Wan2.6-T2I | Wan AI | ₽2.51/изобр. |
| blur_background | Bria | ₽3.35/изобр. |
| Bria-3.2 | Bria | ₽3.35/изобр. |
| Bria-3.2-vector | Bria | ₽3.35/изобр. |
| erase_foreground | Bria | ₽3.35/изобр. |
| expand | Bria | ₽3.35/изобр. |
| fibo | Bria | ₽3.35/изобр. |
| fibo_edit | Bria | ₽3.35/изобр. |
| fibo_edit-1.5 | Bria | ₽3.35/изобр. |
| fibo-1.5 | Bria | ₽3.35/изобр. |
| Flux 1.1 Pro | Black Forest Labs | ₽3.35/изобр. |
| Seedream-4 | ByteDance | ₽3.35/изобр. |
| Qwen Image Max | Qwen | ₽6.28/изобр. |
| flux 2 max | Black Forest Labs | ₽8.38/изобр. |
Видео и аудио
за секунду · 7
▼
Видео и аудио
за секунду · 7
| Модель | Maker | Цена |
|---|---|---|
| Nemotron-3.5-ASR-Streaming-Multilingual-0.6b | NVIDIA | ₽0.0003/сек |
| Qwen3-ASR-0.6B | Qwen | ₽0.0003/сек |
| Whisper Large V3 Turbo | OpenAI | ₽0.0003/сек |
| Qwen3-ASR-1.7B | Qwen | ₽0.0006/сек |
| Whisper Large V3 | whisper large v3 | ₽0.0006/сек |
| Voxtral-Mini-3B-2507 | Mistral | ₽0.0014/сек |
| Voxtral Small 24B 2507 | Mistral | ₽0.0042/сек |
Озвучка
за 1M символов · 11
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Озвучка
за 1M символов · 11
| Модель | Maker | Цена |
|---|---|---|
| Kokoro-82M | hexgrad | ₽82.92/1M симв. |
| chatterbox-multilingual | ResembleAI | ₽83.76/1M симв. |
| chatterbox-turbo | ResembleAI | ₽83.76/1M симв. |
| Audio8-TTS-Preview-0.6b | Audio8 | ₽419/1M симв. |
| csm-1b | sesame | ₽586/1M симв. |
| HiggsAudioV2.5 | bosonai | ₽1 675/1M симв. |
| Qwen3-TTS | Qwen | ₽1 675/1M симв. |
| Qwen3-TTS-VoiceDesign | Qwen | ₽1 675/1M симв. |
| realtime-tts-1.5-mini | inworld ai | ₽2 094/1M симв. |
| realtime-tts-2 | inworld ai | ₽2 932/1M симв. |
| realtime-tts-1.5-max | inworld ai | ₽4 188/1M симв. |
Без публичной цены
нет данных в открытых источниках · 13
▼
Без публичной цены
нет данных в открытых источниках · 13
| Модель | Maker | Примечание |
|---|---|---|
| MiMo-V2.5-tts | XiaomiMiMo | — |
| MiMo-V2.5-tts-voicedesign | XiaomiMiMo | — |
| nano banana 2 lite | — | |
| Nano Banana Pro (Gemini 3 Pro Image) | — | |
| p-video | PrunaAI | — |
| Pixverse-6-T2V | Pixverse | — |
| Pixverse-T2V | Pixverse | — |
| Pixverse-T2V-HD | Pixverse | — |
| Seedance 1.5 Pro | ByteDance | — |
| Seedance 2.0 | ByteDance | — |
| Veo 3.1 | — | |
| Wan2.2-T2V-A14B | Wan AI | — |
| Wan2.6-T2V | Wan AI | — |
Текст и чат
оплата за токены · 118
▼
Текст и чат
оплата за токены · 118
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Embeddinggemma 300m | ₽0.17/M | ₽0.17/M | ₽3 | |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| bge-base-en-v1.5 | baai | ₽0.42/M | ₽0.42/M | ₽8 |
| clip-ViT-B-32 | sentence transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| clip-ViT-B-32-multilingual-v1 | sentence transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| E5-Base-v2 | Intfloat | ₽0.42/M | ₽0.42/M | ₽8 |
| GTE-Base | Thenlper | ₽0.42/M | ₽0.42/M | ₽8 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.42/M | ₽0.42/M | ₽8 |
| text2vec-base-chinese | shibing624 | ₽0.42/M | ₽0.42/M | ₽8 |
| Bge En Icl | BAAI | ₽0.84/M | ₽0.84/M | ₽17 |
| Bge M3 | baai | ₽0.84/M | ₽0.84/M | ₽17 |
| Bge M3 Multi | BAAI | ₽0.84/M | ₽0.84/M | ₽17 |
| Bge M3 Multi 8k | BAAI | ₽0.84/M | ₽0.84/M | ₽17 |
| bge-large-en-v1.5 | baai | ₽0.84/M | ₽0.84/M | ₽17 |
| E5-Large-v2 | Intfloat | ₽0.84/M | ₽0.84/M | ₽17 |
| GTE-Large | Thenlper | ₽0.84/M | ₽0.84/M | ₽17 |
| Llama Nemotron Embed Vl 1b V2 | NVIDIA | ₽0.84/M | ₽0.84/M | ₽17 |
| Multilingual-E5-Large | Intfloat | ₽0.84/M | ₽0.84/M | ₽17 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.84/M | ₽0.84/M | ₽17 |
| qwen3-embedding-0.6b | Qwen | ₽0.84/M | ₽0.84/M | ₽17 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.68/M | ₽1.68/M | ₽34 |
| Meta-Llama-3.1-8B-Instruct-Turbo | Meta | ₽1.68/M | ₽3.35/M | ₽50 |
| Mistral-Nemo-Instruct-2407 | Mistral | ₽2.43/M | ₽2.51/M | ₽61 |
| L3-8B-Lunaris-v1-Turbo | Sao10K | ₽3.35/M | ₽4.19/M | ₽88 |
| gpt oss 20b | OpenAI | ₽2.51/M | ₽11.73/M | ₽109 |
| Mistral Small 3 | Mistral | ₽4.19/M | ₽6.70/M | ₽117 |
| Gemma 3 4B | ₽4.19/M | ₽8.38/M | ₽126 | |
| gpt oss 120b | OpenAI | ₽3.10/M | ₽14.24/M | ₽133 |
| gemma 3 12b it | ₽4.19/M | ₽12.56/M | ₽147 | |
| Nemotron 3.5 Lightning | NVIDIA | ₽5.03/M | ₽13.40/M | ₽168 |
| deepseek v4 flash | DeepSeek | ₽5.03/M | ₽15.08/M | ₽176 |
| Ling 3.0 Flash | inclusionAI | ₽5.03/M | ₽15.08/M | ₽176 |
| Ling 3.0 Flash VL | inclusionAI | ₽5.03/M | ₽15.08/M | ₽176 |
| Phi 4 | Microsoft | ₽5.86/M | ₽11.73/M | ₽176 |
| gemma 3 27b it | ₽6.70/M | ₽13.40/M | ₽201 | |
| Granite 4.2 8B | IBM | ₽5.03/M | ₽20.94/M | ₽205 |
| Mistral-Small-3.2-24B-Instruct-2506 | Mistral | ₽6.28/M | ₽16.75/M | ₽209 |
| qwen3.5 9b | Qwen | ₽8.38/M | ₽12.56/M | ₽230 |
| Qwen3 32B | Qwen | ₽6.70/M | ₽23.45/M | ₽251 |
| gemma 4 26b a4b it | ₽5.86/M | ₽28.48/M | ₽260 | |
| gemma-4-31B-it-turbo | ₽7.54/M | ₽28.48/M | ₽293 | |
| Llama 4 Scout 17b 16e Instruct | Meta | ₽8.38/M | ₽25.13/M | ₽293 |
| Llama-3.3-70B-Instruct-Turbo | Meta | ₽8.38/M | ₽26.80/M | ₽302 |
| Qwen3 14B | Qwen | ₽10.05/M | ₽20.10/M | ₽302 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽7.12/M | ₽33.50/M | ₽310 |
| Dola-Seed 2.0 Mini | ByteDance | ₽8.38/M | ₽33.50/M | ₽335 |
| qwen3.8 flash | Qwen | ₽9.46/M | ₽32.00/M | ₽349 |
| MiMo-V2.6-Flash | Xiaomi | ₽11.73/M | ₽23.45/M | ₽352 |
| Llama Guard 4 12B | Meta | ₽15.08/M | ₽15.08/M | ₽377 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽7.54/M | ₽46.07/M | ₽381 |
| Qwen3 30B A3B | Qwen | ₽10.05/M | ₽41.88/M | ₽410 |
| Nemotron-Content-Safety-3.5 | NVIDIA | ₽16.75/M | ₽16.75/M | ₽419 |
| glm 5.3 flash | Z.ai | ₽12.56/M | ₽41.88/M | ₽461 |
| gemma 4 31b it | ₽16.75/M | ₽33.50/M | ₽503 | |
| gpt-oss-120b-Turbo | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.56/M | ₽50.26/M | ₽503 |
| qwen3.6 35b a3b | Qwen | ₽8.38/M | ₽79.57/M | ₽565 |
| deepseek v4.1 flash | DeepSeek | ₽16.75/M | ₽50.26/M | ₽586 |
| deepseek v3.2 | DeepSeek | ₽21.78/M | ₽31.83/M | ₽595 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.54/M | ₽92.14/M | ₽611 |
| Qwen3.5-35B-A3B | Qwen | ₽11.73/M | ₽83.76/M | ₽653 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽16.75/M | ₽73.71/M | ₽704 |
| gpt-oss-120b-Ultra | OpenAI | ₽16.75/M | ₽79.57/M | ₽733 |
| Nemotron 3.5 Super VL | NVIDIA | ₽16.75/M | ₽83.76/M | ₽754 |
| gemma-4-31B-it-Ultra | ₽22.62/M | ₽63.66/M | ₽771 | |
| qwen 2.5 72b instruct | Qwen | ₽30.15/M | ₽33.50/M | ₽771 |
| deepseek ai · DeepSeek-V3.1 | DeepSeek | ₽20.94/M | ₽79.57/M | ₽817 |
| Meta-Llama-3.1-70B-Instruct-Turbo | Meta | ₽33.50/M | ₽33.50/M | ₽838 |
| MythoMax 13B | gryphe | ₽33.50/M | ₽33.50/M | ₽838 |
| Ling 3.1 Flash | inclusionAI | ₽25.13/M | ₽75.38/M | ₽879 |
| DeepSeek-V3 | DeepSeek | ₽26.80/M | ₽74.55/M | ₽909 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽25.13/M | ₽83.76/M | ₽921 |
| minimax m3 | MiniMax | ₽23.45/M | ₽92.14/M | ₽930 |
| Muse Glimmer 30B | Meta | ₽25.13/M | ₽101/M | ₽1 005 |
| gemini 3.1 flash lite | ₽20.94/M | ₽126/M | ₽1 047 | |
| MiMo-V2.6-Pro | Xiaomi | ₽36.02/M | ₽72.87/M | ₽1 085 |
| ByteDance Seed 1.8 | ByteDance | ₽20.94/M | ₽168/M | ₽1 256 |
| Inkling Small | Thinking Machines | ₽37.69/M | ₽101/M | ₽1 256 |
| deepseek v4 flash vision | DeepSeek | ₽36.85/M | ₽111/M | ₽1 290 |
| qwen3.8 27b | Qwen | ₽16.75/M | ₽209/M | ₽1 382 |
| glm 4.7 | Z.ai | ₽33.50/M | ₽147/M | ₽1 403 |
| Hermes 3 70B Instruct | Nous | ₽58.63/M | ₽58.63/M | ₽1 466 |
| Qwen3.5-27B | Qwen | ₽21.78/M | ₽218/M | ₽1 524 |
| gemini 2.5 flash | ₽25.13/M | ₽209/M | ₽1 550 | |
| GLM 4.6 | Z.ai | ₽41.88/M | ₽168/M | ₽1 675 |
| deepseek r1 | DeepSeek | ₽41.88/M | ₽180/M | ₽1 738 |
| NVIDIA-Nemotron-3-Ultra-550B-A55B | NVIDIA | ₽41.88/M | ₽184/M | ₽1 759 |
| L3.1-70B-Euryale-v2.2 | Sao10K | ₽71.20/M | ₽71.20/M | ₽1 780 |
| qwen3.6 27b | Qwen | ₽26.80/M | ₽268/M | ₽1 876 |
| qwen3.5 397b a17b | Qwen | ₽37.69/M | ₽251/M | ₽2 010 |
| Dola-Seed 2.0 Pro | ByteDance | ₽41.88/M | ₽251/M | ₽2 094 |
| Seed-2.0-code | ByteDance | ₽41.88/M | ₽251/M | ₽2 094 |
| Hermes 3 405B Instruct | Nous | ₽83.76/M | ₽83.76/M | ₽2 094 |
| glm 5.2 | Z.ai | ₽62.82/M | ₽201/M | ₽2 262 |
| Hy4 preview | Tencent | ₽69.86/M | ₽209/M | ₽2 445 |
| kimi k2.6 | MoonshotAI | ₽62.82/M | ₽293/M | ₽2 722 |
| Step 5 Preview | StepFun | ₽83.76/M | ₽226/M | ₽2 806 |
| gemini 3.7 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| glm 5.3 | Z.ai | ₽75.38/M | ₽335/M | ₽3 183 |
| deepseek v4 pro | DeepSeek | ₽109/M | ₽218/M | ₽3 267 |
| claude haiku 4.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| qwen3.8 max | Qwen | ₽138/M | ₽415/M | ₽4 838 |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 282 | |
| gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 282 | |
| qwen3.7 max | Qwen | ₽209/M | ₽628/M | ₽7 329 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Gemini 3.1 Pro | ₽168/M | ₽1 005/M | ₽8 376 | |
| kimi k3 | MoonshotAI | ₽239/M | ₽1 194/M | ₽10 742 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 5 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude opus 5.5 | Anthropic | ₽335/M | ₽1 675/M | ₽15 077 |
| claude opus 4.7 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.8 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude fable 5 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
Изображения
за изображение · 25
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Изображения
за изображение · 25
| Модель | Maker | Цена |
|---|---|---|
| Sdxl Turbo | stabilityai | ₽0.02/изобр. |
| Flux 1 Schnell | Black Forest Labs | ₽0.04/изобр. |
| p-image | PrunaAI | ₽0.42/изобр. |
| FLUX.1 [dev] | Black Forest Labs | ₽0.75/изобр. |
| Flux 2 Dev | Black Forest Labs | ₽0.84/изобр. |
| FLUX-1-Redux-dev | Black Forest Labs | ₽1.01/изобр. |
| Flux 2 Klein 4b | Black Forest Labs | ₽1.17/изобр. |
| Flux 2 Klein 9b | Black Forest Labs | ₽1.26/изобр. |
| flux 2 pro | Black Forest Labs | ₽1.26/изобр. |
| remove_background | Bria | ₽1.51/изобр. |
| remove_background_guided | Bria | ₽2.51/изобр. |
| Wan2.6-T2I | Wan AI | ₽2.51/изобр. |
| blur_background | Bria | ₽3.35/изобр. |
| Bria-3.2 | Bria | ₽3.35/изобр. |
| Bria-3.2-vector | Bria | ₽3.35/изобр. |
| erase_foreground | Bria | ₽3.35/изобр. |
| expand | Bria | ₽3.35/изобр. |
| fibo | Bria | ₽3.35/изобр. |
| fibo_edit | Bria | ₽3.35/изобр. |
| fibo_edit-1.5 | Bria | ₽3.35/изобр. |
| fibo-1.5 | Bria | ₽3.35/изобр. |
| Flux 1.1 Pro | Black Forest Labs | ₽3.35/изобр. |
| Seedream-4 | ByteDance | ₽3.35/изобр. |
| Qwen Image Max | Qwen | ₽6.28/изобр. |
| flux 2 max | Black Forest Labs | ₽8.38/изобр. |
Видео и аудио
за секунду · 7
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Видео и аудио
за секунду · 7
| Модель | Maker | Цена |
|---|---|---|
| Nemotron-3.5-ASR-Streaming-Multilingual-0.6b | NVIDIA | ₽0.0003/сек |
| Qwen3-ASR-0.6B | Qwen | ₽0.0003/сек |
| Whisper Large V3 Turbo | OpenAI | ₽0.0003/сек |
| Qwen3-ASR-1.7B | Qwen | ₽0.0006/сек |
| Whisper Large V3 | whisper large v3 | ₽0.0006/сек |
| Voxtral-Mini-3B-2507 | Mistral | ₽0.0014/сек |
| Voxtral Small 24B 2507 | Mistral | ₽0.0042/сек |
Озвучка
за 1M символов · 11
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Озвучка
за 1M символов · 11
| Модель | Maker | Цена |
|---|---|---|
| Kokoro-82M | hexgrad | ₽82.92/1M симв. |
| chatterbox-multilingual | ResembleAI | ₽83.76/1M симв. |
| chatterbox-turbo | ResembleAI | ₽83.76/1M симв. |
| Audio8-TTS-Preview-0.6b | Audio8 | ₽419/1M симв. |
| csm-1b | sesame | ₽586/1M симв. |
| HiggsAudioV2.5 | bosonai | ₽1 675/1M симв. |
| Qwen3-TTS | Qwen | ₽1 675/1M симв. |
| Qwen3-TTS-VoiceDesign | Qwen | ₽1 675/1M симв. |
| realtime-tts-1.5-mini | inworld ai | ₽2 094/1M симв. |
| realtime-tts-2 | inworld ai | ₽2 932/1M симв. |
| realtime-tts-1.5-max | inworld ai | ₽4 188/1M симв. |
Без публичной цены
нет данных в открытых источниках · 13
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Без публичной цены
нет данных в открытых источниках · 13
| Модель | Maker | Примечание |
|---|---|---|
| MiMo-V2.5-tts | XiaomiMiMo | — |
| MiMo-V2.5-tts-voicedesign | XiaomiMiMo | — |
| nano banana 2 lite | — | |
| Nano Banana Pro (Gemini 3 Pro Image) | — | |
| p-video | PrunaAI | — |
| Pixverse-6-T2V | Pixverse | — |
| Pixverse-T2V | Pixverse | — |
| Pixverse-T2V-HD | Pixverse | — |
| Seedance 1.5 Pro | ByteDance | — |
| Seedance 2.0 | ByteDance | — |
| Veo 3.1 | — | |
| Wan2.2-T2V-A14B | Wan AI | — |
| Wan2.6-T2V | Wan AI | — |
О провайдере
О сервисе
DeepInfra — direct inference platform (не multi-vendor router): модели деплоятся на GPU DeepInfra, billing pay-per-use. Конкурирует с Together, Fireworks, SiliconFlow на open-weight моделях. Часто дешевле USD-агрегаторов на Llama/Qwen/FLUX. На AI-APISHKA — flat $/1M из metadata.pricing без ratio-пересчёта.
Как сравнивать на AI-APISHKA
Сравнивайте $/1M напрямую с Together/Fireworks/OpenRouter. Image — per_image_unit ($/image). Для embeddings — только input_tokens. Prompt cache — cache_read_tokens.
Частые вопросы
- DeepInfra — агрегатор или inference platform?
- Inference platform: модели крутятся на GPU DeepInfra, не прокси к OpenAI/Anthropic (хотя есть и проприетарные модели).
- Где цены DeepInfra?
- GET /v1/openai/models → metadata.pricing: input_tokens, output_tokens ($/1M), per_image_unit, input_seconds, input_characters.
- DeepInfra vs SiliconFlow?
- Оба direct inference. DeepInfra — USD, SiliconFlow — CNY. Сравнивайте $/1M на overlap-моделях (Qwen, DeepSeek, FLUX).
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
DeepInfra предлагает 175 моделей AI API. Средняя цена — ₽87/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.17/M (Embeddinggemma 300m).
Сравните цены на Nemotron-3.5-ASR-Streaming-Multilingual-0.6b , Qwen3-ASR-0.6B , Whisper Large V3 Turbo , Qwen3-ASR-1.7B и Whisper Large V3 у других провайдеров или в каталоге агрегаторов . Данные обновлены 15.10.2026.