Serverless GPU inference: 142 модели, $/1M tokens и pay-per-image
- Моделей
- 165
- Средняя цена
- ₽68/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 · ₽
165 моделей
Текст и чат
оплата за токены · 112
▼
Текст и чат
оплата за токены · 112
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Embeddinggemma 300m | ₽0.16/M | ₽0.16/M | ₽3 | |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| bge-base-en-v1.5 | baai | ₽0.39/M | ₽0.39/M | ₽8 |
| clip-ViT-B-32 | sentence transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| clip-ViT-B-32-multilingual-v1 | sentence transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| E5-Base-v2 | Intfloat | ₽0.39/M | ₽0.39/M | ₽8 |
| GTE-Base | Thenlper | ₽0.39/M | ₽0.39/M | ₽8 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| text2vec-base-chinese | shibing624 | ₽0.39/M | ₽0.39/M | ₽8 |
| Bge En Icl | BAAI | ₽0.78/M | ₽0.78/M | ₽16 |
| Bge M3 | baai | ₽0.78/M | ₽0.78/M | ₽16 |
| Bge M3 Multi | BAAI | ₽0.78/M | ₽0.78/M | ₽16 |
| bge-large-en-v1.5 | baai | ₽0.78/M | ₽0.78/M | ₽16 |
| E5-Large-v2 | Intfloat | ₽0.78/M | ₽0.78/M | ₽16 |
| GTE-Large | Thenlper | ₽0.78/M | ₽0.78/M | ₽16 |
| Llama Nemotron Embed Vl 1b V2 | nvidia | ₽0.78/M | ₽0.78/M | ₽16 |
| Multilingual-E5-Large | Intfloat | ₽0.78/M | ₽0.78/M | ₽16 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.78/M | ₽0.78/M | ₽16 |
| qwen3-embedding-0.6b | qwen | ₽0.78/M | ₽0.78/M | ₽16 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.56/M | ₽1.56/M | ₽31 |
| Meta-Llama-3.1-8B-Instruct-Turbo | meta llama | ₽1.56/M | ₽2.34/M | ₽43 |
| Mistral-Nemo-Instruct-2407 | mistralai | ₽1.56/M | ₽3.12/M | ₽47 |
| gemma-4-E4B-it | ₽1.56/M | ₽7.80/M | ₽70 | |
| L3-8B-Lunaris-v1-Turbo | Sao10K | ₽3.12/M | ₽3.90/M | ₽82 |
| gpt oss 20b | openai | ₽2.34/M | ₽10.91/M | ₽101 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽3.90/M | ₽6.24/M | ₽109 |
| gemini-1.5-flash-8b | ₽2.92/M | ₽11.69/M | ₽117 | |
| Gemma 3 4B It | gemma 3 4b it | ₽3.90/M | ₽7.80/M | ₽117 |
| gpt oss 120b | openai | ₽2.88/M | ₽13.25/M | ₽124 |
| gemma 3 12b it | ₽3.90/M | ₽11.69/M | ₽136 | |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽3.90/M | ₽15.59/M | ₽156 |
| Phi 4 | Microsoft | ₽5.46/M | ₽10.91/M | ₽164 |
| gemma 3 27b it | ₽6.24/M | ₽12.47/M | ₽187 | |
| Mistral-Small-3.2-24B-Instruct-2506 | mistralai | ₽5.85/M | ₽15.59/M | ₽195 |
| deepseek v4 flash | deepseek | ₽7.02/M | ₽14.03/M | ₽210 |
| qwen3.5 9b | qwen | ₽7.80/M | ₽11.69/M | ₽214 |
| Gemini 1.5 Flash | gemini 1.5 flash | ₽5.85/M | ₽23.39/M | ₽234 |
| qwen3 32b | qwen | ₽6.24/M | ₽21.83/M | ₽234 |
| gemma 4 26b a4b it | ₽5.46/M | ₽26.51/M | ₽242 | |
| glm 4.7 flash | z ai | ₽4.68/M | ₽31.18/M | ₽249 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽7.80/M | ₽23.39/M | ₽273 |
| Llama-3.3-70B-Instruct-Turbo | meta llama | ₽7.80/M | ₽24.95/M | ₽281 |
| qwen3 14b | qwen | ₽9.35/M | ₽18.71/M | ₽281 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽6.63/M | ₽31.18/M | ₽288 |
| Seed-2.0-mini | ByteDance | ₽7.80/M | ₽31.18/M | ₽312 |
| gemma-4-31B-it-turbo | ₽9.35/M | ₽28.84/M | ₽331 | |
| llama guard 4 12b | meta llama | ₽14.03/M | ₽14.03/M | ₽351 |
| gemma 4 31b it | ₽10.13/M | ₽29.62/M | ₽351 | |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽7.02/M | ₽42.88/M | ₽355 |
| qwen3 30b a3b | qwen | ₽9.35/M | ₽38.98/M | ₽382 |
| Nemotron-Content-Safety-3.5 | nvidia | ₽15.59/M | ₽15.59/M | ₽390 |
| Hy3 | hy3 | ₽10.91/M | ₽45.21/M | ₽444 |
| Ornith-1.0-35B | deepreinforce ai | ₽7.80/M | ₽58.47/M | ₽448 |
| gpt-oss-120b-Turbo | openai | ₽11.69/M | ₽46.77/M | ₽468 |
| qwen3 vl 30b a3b instruct | qwen | ₽11.69/M | ₽46.77/M | ₽468 |
| deepseek v3.2 | deepseek | ₽20.27/M | ₽29.62/M | ₽553 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.02/M | ₽85.75/M | ₽569 |
| qwen3.6 35b a3b | qwen | ₽11.69/M | ₽74.06/M | ₽604 |
| qwen3.5 35b a3b | qwen | ₽10.91/M | ₽77.96/M | ₽608 |
| Llama-4-Maverick-17B-128E-Instruct-FP8 | meta llama | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽15.59/M | ₽68.60/M | ₽655 |
| qwen 2.5 72b instruct | qwen | ₽28.06/M | ₽31.18/M | ₽717 |
| DeepSeek-V3 | deepseek ai | ₽18.71/M | ₽70.16/M | ₽725 |
| Step 3.7 Flash | step 3.7 flash | ₽15.59/M | ₽89.65/M | ₽760 |
| deepseek ai · DeepSeek-V3.1 | deepseek ai | ₽19.49/M | ₽74.06/M | ₽760 |
| Meta-Llama-3.1-70B-Instruct-Turbo | meta llama | ₽31.18/M | ₽31.18/M | ₽780 |
| minimax m2.7 | minimax | ₽19.49/M | ₽77.96/M | ₽780 |
| Mythomax L2 13B | Gryphe | ₽31.18/M | ₽31.18/M | ₽780 |
| deepseek v3.1 terminus | deepseek | ₽21.05/M | ₽74.06/M | ₽791 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽23.39/M | ₽77.96/M | ₽858 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| Seed-1.8 | ByteDance | ₽19.49/M | ₽156/M | ₽1 169 |
| qwen3 235b a22b | qwen | ₽17.93/M | ₽179/M | ₽1 255 |
| MiniMax-M2.7-Turbo | MiniMaxAI | ₽29.62/M | ₽133/M | ₽1 255 |
| glm 4.7 | z ai | ₽31.18/M | ₽136/M | ₽1 306 |
| Hermes 3 70B Instruct | Nous | ₽54.57/M | ₽54.57/M | ₽1 364 |
| qwen3.5 122b a10b | qwen | ₽22.61/M | ₽187/M | ₽1 388 |
| mimo v2.5 | mimo v2.5 | ₽31.18/M | ₽156/M | ₽1 403 |
| qwen3.5 27b | qwen | ₽20.27/M | ₽203/M | ₽1 419 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| glm 4.6 | z ai | ₽38.98/M | ₽156/M | ₽1 559 |
| Kimi K2.5 | kimi k2.5 | ₽35.08/M | ₽175/M | ₽1 579 |
| DeepSeek R1 | deepseek r1 | ₽38.98/M | ₽168/M | ₽1 618 |
| NVIDIA-Nemotron-3-Ultra-550B-A55B | nvidia | ₽38.98/M | ₽172/M | ₽1 637 |
| L3.1-70B-Euryale-v2.2 | Sao10K | ₽66.26/M | ₽66.26/M | ₽1 657 |
| GLM-5 | glm 5 | ₽46.77/M | ₽162/M | ₽1 746 |
| qwen3.6 27b | qwen | ₽24.95/M | ₽249/M | ₽1 746 |
| qwen3.5 397b a17b | qwen | ₽35.08/M | ₽234/M | ₽1 871 |
| Seed-2.0-code | ByteDance | ₽38.98/M | ₽234/M | ₽1 949 |
| Seed-2.0-pro | ByteDance | ₽38.98/M | ₽234/M | ₽1 949 |
| Hermes 3 405B Instruct | Nous | ₽77.96/M | ₽77.96/M | ₽1 949 |
| kimi k2.7 code | moonshotai | ₽57.69/M | ₽273/M | ₽2 518 |
| kimi k2.6 | moonshotai | ₽58.47/M | ₽273/M | ₽2 534 |
| glm 5.2 | z ai | ₽72.50/M | ₽234/M | ₽2 619 |
| mimo v2.5 pro | mimo v2.5 pro | ₽77.96/M | ₽234/M | ₽2 728 |
| glm 5.1 | z ai | ₽81.85/M | ₽273/M | ₽3 001 |
| deepseek v4 pro | deepseek | ₽101/M | ₽203/M | ₽3 040 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽77.96/M | ₽390/M | ₽3 508 |
| Qwen3 Max | qwen3 max | ₽93.55/M | ₽468/M | ₽4 210 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| qwen3.7 max | qwen | ₽195/M | ₽585/M | ₽6 821 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Opus 4.7 | claude opus 4 7 | ₽390/M | ₽1 949/M | ₽17 540 |
| claude opus 4.8 | anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
Изображения
за изображение · 24
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Изображения
за изображение · 24
| Модель | Maker | Цена |
|---|---|---|
| Sdxl Turbo | stabilityai | ₽0.02/изобр. |
| Flux 1 Schnell | black forest labs | ₽0.04/изобр. |
| p-image | PrunaAI | ₽0.39/изобр. |
| Flux 1 Dev | black forest labs | ₽0.70/изобр. |
| Flux 2 Dev | black forest labs | ₽0.78/изобр. |
| FLUX.1-Kontext-dev | black forest labs | ₽0.78/изобр. |
| FLUX-1-Redux-dev | black forest labs | ₽0.94/изобр. |
| Flux 2 Klein 4b | black forest labs | ₽1.09/изобр. |
| Flux 2 Klein 9b | black forest labs | ₽1.17/изобр. |
| Flux 2 Pro | black forest labs | ₽1.17/изобр. |
| remove_background | Bria | ₽1.40/изобр. |
| Qwen Image Edit | alibaba | ₽1.95/изобр. |
| Wan2.6-T2I | Wan AI | ₽2.34/изобр. |
| blur_background | Bria | ₽3.12/изобр. |
| Bria-3.2 | Bria | ₽3.12/изобр. |
| Bria-3.2-vector | Bria | ₽3.12/изобр. |
| erase_foreground | Bria | ₽3.12/изобр. |
| expand | Bria | ₽3.12/изобр. |
| fibo | Bria | ₽3.12/изобр. |
| fibo_edit | Bria | ₽3.12/изобр. |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽3.12/изобр. |
| Seedream-4 | ByteDance | ₽3.12/изобр. |
| Qwen Image Max | qwen image max | ₽5.85/изобр. |
| FLUX.2 [max] | black forest labs | ₽7.80/изобр. |
Видео и аудио
за секунду · 5
▼
Видео и аудио
за секунду · 5
| Модель | Maker | Цена |
|---|---|---|
| Nemotron-3.5-ASR-Streaming-Multilingual-0.6b | nvidia | ₽0.0003/сек |
| Whisper Large V3 Turbo | openai | ₽0.0003/сек |
| whisper large | whisper large | ₽0.0006/сек |
| Voxtral-Mini-3B-2507 | mistralai | ₽0.0013/сек |
| Voxtral Small 24B 2507 | Mistral | ₽0.0039/сек |
Озвучка
за 1M символов · 10
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Озвучка
за 1M символов · 10
| Модель | Maker | Цена |
|---|---|---|
| Kokoro-82M | hexgrad | ₽48.33/1M симв. |
| chatterbox-multilingual | ResembleAI | ₽77.96/1M симв. |
| chatterbox-turbo | ResembleAI | ₽77.96/1M симв. |
| csm-1b | sesame | ₽546/1M симв. |
| HiggsAudioV2.5 | bosonai | ₽1 559/1M симв. |
| Qwen3-TTS | Qwen | ₽1 559/1M симв. |
| Qwen3-TTS-VoiceDesign | Qwen | ₽1 559/1M симв. |
| realtime-tts-1.5-mini | inworld ai | ₽1 949/1M симв. |
| realtime-tts-2 | inworld ai | ₽2 728/1M симв. |
| realtime-tts-1.5-max | inworld ai | ₽3 898/1M симв. |
Без публичной цены
нет данных в открытых источниках · 14
▼
Без публичной цены
нет данных в открытых источниках · 14
| Модель | Maker | Примечание |
|---|---|---|
| Cosmos3-Nano | nvidia | — |
| Cosmos3-Super | nvidia | — |
| gemini 3 pro image | — | |
| MiMo-V2.5-tts | XiaomiMiMo | — |
| MiMo-V2.5-tts-voicedesign | XiaomiMiMo | — |
| 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 · 112
▼
Текст и чат
оплата за токены · 112
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Embeddinggemma 300m | ₽0.16/M | ₽0.16/M | ₽3 | |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| bge-base-en-v1.5 | baai | ₽0.39/M | ₽0.39/M | ₽8 |
| clip-ViT-B-32 | sentence transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| clip-ViT-B-32-multilingual-v1 | sentence transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| E5-Base-v2 | Intfloat | ₽0.39/M | ₽0.39/M | ₽8 |
| GTE-Base | Thenlper | ₽0.39/M | ₽0.39/M | ₽8 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| text2vec-base-chinese | shibing624 | ₽0.39/M | ₽0.39/M | ₽8 |
| Bge En Icl | BAAI | ₽0.78/M | ₽0.78/M | ₽16 |
| Bge M3 | baai | ₽0.78/M | ₽0.78/M | ₽16 |
| Bge M3 Multi | BAAI | ₽0.78/M | ₽0.78/M | ₽16 |
| bge-large-en-v1.5 | baai | ₽0.78/M | ₽0.78/M | ₽16 |
| E5-Large-v2 | Intfloat | ₽0.78/M | ₽0.78/M | ₽16 |
| GTE-Large | Thenlper | ₽0.78/M | ₽0.78/M | ₽16 |
| Llama Nemotron Embed Vl 1b V2 | nvidia | ₽0.78/M | ₽0.78/M | ₽16 |
| Multilingual-E5-Large | Intfloat | ₽0.78/M | ₽0.78/M | ₽16 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.78/M | ₽0.78/M | ₽16 |
| qwen3-embedding-0.6b | qwen | ₽0.78/M | ₽0.78/M | ₽16 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.56/M | ₽1.56/M | ₽31 |
| Meta-Llama-3.1-8B-Instruct-Turbo | meta llama | ₽1.56/M | ₽2.34/M | ₽43 |
| Mistral-Nemo-Instruct-2407 | mistralai | ₽1.56/M | ₽3.12/M | ₽47 |
| gemma-4-E4B-it | ₽1.56/M | ₽7.80/M | ₽70 | |
| L3-8B-Lunaris-v1-Turbo | Sao10K | ₽3.12/M | ₽3.90/M | ₽82 |
| gpt oss 20b | openai | ₽2.34/M | ₽10.91/M | ₽101 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽3.90/M | ₽6.24/M | ₽109 |
| gemini-1.5-flash-8b | ₽2.92/M | ₽11.69/M | ₽117 | |
| Gemma 3 4B It | gemma 3 4b it | ₽3.90/M | ₽7.80/M | ₽117 |
| gpt oss 120b | openai | ₽2.88/M | ₽13.25/M | ₽124 |
| gemma 3 12b it | ₽3.90/M | ₽11.69/M | ₽136 | |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽3.90/M | ₽15.59/M | ₽156 |
| Phi 4 | Microsoft | ₽5.46/M | ₽10.91/M | ₽164 |
| gemma 3 27b it | ₽6.24/M | ₽12.47/M | ₽187 | |
| Mistral-Small-3.2-24B-Instruct-2506 | mistralai | ₽5.85/M | ₽15.59/M | ₽195 |
| deepseek v4 flash | deepseek | ₽7.02/M | ₽14.03/M | ₽210 |
| qwen3.5 9b | qwen | ₽7.80/M | ₽11.69/M | ₽214 |
| Gemini 1.5 Flash | gemini 1.5 flash | ₽5.85/M | ₽23.39/M | ₽234 |
| qwen3 32b | qwen | ₽6.24/M | ₽21.83/M | ₽234 |
| gemma 4 26b a4b it | ₽5.46/M | ₽26.51/M | ₽242 | |
| glm 4.7 flash | z ai | ₽4.68/M | ₽31.18/M | ₽249 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽7.80/M | ₽23.39/M | ₽273 |
| Llama-3.3-70B-Instruct-Turbo | meta llama | ₽7.80/M | ₽24.95/M | ₽281 |
| qwen3 14b | qwen | ₽9.35/M | ₽18.71/M | ₽281 |
| Nvidia Nemotron 3 Super 120B A12B | nvidia nemotron 3 super 120b a12b | ₽6.63/M | ₽31.18/M | ₽288 |
| Seed-2.0-mini | ByteDance | ₽7.80/M | ₽31.18/M | ₽312 |
| gemma-4-31B-it-turbo | ₽9.35/M | ₽28.84/M | ₽331 | |
| llama guard 4 12b | meta llama | ₽14.03/M | ₽14.03/M | ₽351 |
| gemma 4 31b it | ₽10.13/M | ₽29.62/M | ₽351 | |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽7.02/M | ₽42.88/M | ₽355 |
| qwen3 30b a3b | qwen | ₽9.35/M | ₽38.98/M | ₽382 |
| Nemotron-Content-Safety-3.5 | nvidia | ₽15.59/M | ₽15.59/M | ₽390 |
| Hy3 | hy3 | ₽10.91/M | ₽45.21/M | ₽444 |
| Ornith-1.0-35B | deepreinforce ai | ₽7.80/M | ₽58.47/M | ₽448 |
| gpt-oss-120b-Turbo | openai | ₽11.69/M | ₽46.77/M | ₽468 |
| qwen3 vl 30b a3b instruct | qwen | ₽11.69/M | ₽46.77/M | ₽468 |
| deepseek v3.2 | deepseek | ₽20.27/M | ₽29.62/M | ₽553 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.02/M | ₽85.75/M | ₽569 |
| qwen3.6 35b a3b | qwen | ₽11.69/M | ₽74.06/M | ₽604 |
| qwen3.5 35b a3b | qwen | ₽10.91/M | ₽77.96/M | ₽608 |
| Llama-4-Maverick-17B-128E-Instruct-FP8 | meta llama | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽15.59/M | ₽68.60/M | ₽655 |
| qwen 2.5 72b instruct | qwen | ₽28.06/M | ₽31.18/M | ₽717 |
| DeepSeek-V3 | deepseek ai | ₽18.71/M | ₽70.16/M | ₽725 |
| Step 3.7 Flash | step 3.7 flash | ₽15.59/M | ₽89.65/M | ₽760 |
| deepseek ai · DeepSeek-V3.1 | deepseek ai | ₽19.49/M | ₽74.06/M | ₽760 |
| Meta-Llama-3.1-70B-Instruct-Turbo | meta llama | ₽31.18/M | ₽31.18/M | ₽780 |
| minimax m2.7 | minimax | ₽19.49/M | ₽77.96/M | ₽780 |
| Mythomax L2 13B | Gryphe | ₽31.18/M | ₽31.18/M | ₽780 |
| deepseek v3.1 terminus | deepseek | ₽21.05/M | ₽74.06/M | ₽791 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽23.39/M | ₽77.96/M | ₽858 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| Seed-1.8 | ByteDance | ₽19.49/M | ₽156/M | ₽1 169 |
| qwen3 235b a22b | qwen | ₽17.93/M | ₽179/M | ₽1 255 |
| MiniMax-M2.7-Turbo | MiniMaxAI | ₽29.62/M | ₽133/M | ₽1 255 |
| glm 4.7 | z ai | ₽31.18/M | ₽136/M | ₽1 306 |
| Hermes 3 70B Instruct | Nous | ₽54.57/M | ₽54.57/M | ₽1 364 |
| qwen3.5 122b a10b | qwen | ₽22.61/M | ₽187/M | ₽1 388 |
| mimo v2.5 | mimo v2.5 | ₽31.18/M | ₽156/M | ₽1 403 |
| qwen3.5 27b | qwen | ₽20.27/M | ₽203/M | ₽1 419 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| glm 4.6 | z ai | ₽38.98/M | ₽156/M | ₽1 559 |
| Kimi K2.5 | kimi k2.5 | ₽35.08/M | ₽175/M | ₽1 579 |
| DeepSeek R1 | deepseek r1 | ₽38.98/M | ₽168/M | ₽1 618 |
| NVIDIA-Nemotron-3-Ultra-550B-A55B | nvidia | ₽38.98/M | ₽172/M | ₽1 637 |
| L3.1-70B-Euryale-v2.2 | Sao10K | ₽66.26/M | ₽66.26/M | ₽1 657 |
| GLM-5 | glm 5 | ₽46.77/M | ₽162/M | ₽1 746 |
| qwen3.6 27b | qwen | ₽24.95/M | ₽249/M | ₽1 746 |
| qwen3.5 397b a17b | qwen | ₽35.08/M | ₽234/M | ₽1 871 |
| Seed-2.0-code | ByteDance | ₽38.98/M | ₽234/M | ₽1 949 |
| Seed-2.0-pro | ByteDance | ₽38.98/M | ₽234/M | ₽1 949 |
| Hermes 3 405B Instruct | Nous | ₽77.96/M | ₽77.96/M | ₽1 949 |
| kimi k2.7 code | moonshotai | ₽57.69/M | ₽273/M | ₽2 518 |
| kimi k2.6 | moonshotai | ₽58.47/M | ₽273/M | ₽2 534 |
| glm 5.2 | z ai | ₽72.50/M | ₽234/M | ₽2 619 |
| mimo v2.5 pro | mimo v2.5 pro | ₽77.96/M | ₽234/M | ₽2 728 |
| glm 5.1 | z ai | ₽81.85/M | ₽273/M | ₽3 001 |
| deepseek v4 pro | deepseek | ₽101/M | ₽203/M | ₽3 040 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽77.96/M | ₽390/M | ₽3 508 |
| Qwen3 Max | qwen3 max | ₽93.55/M | ₽468/M | ₽4 210 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| qwen3.7 max | qwen | ₽195/M | ₽585/M | ₽6 821 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Opus 4.7 | claude opus 4 7 | ₽390/M | ₽1 949/M | ₽17 540 |
| claude opus 4.8 | anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
Изображения
за изображение · 24
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Изображения
за изображение · 24
| Модель | Maker | Цена |
|---|---|---|
| Sdxl Turbo | stabilityai | ₽0.02/изобр. |
| Flux 1 Schnell | black forest labs | ₽0.04/изобр. |
| p-image | PrunaAI | ₽0.39/изобр. |
| Flux 1 Dev | black forest labs | ₽0.70/изобр. |
| Flux 2 Dev | black forest labs | ₽0.78/изобр. |
| FLUX.1-Kontext-dev | black forest labs | ₽0.78/изобр. |
| FLUX-1-Redux-dev | black forest labs | ₽0.94/изобр. |
| Flux 2 Klein 4b | black forest labs | ₽1.09/изобр. |
| Flux 2 Klein 9b | black forest labs | ₽1.17/изобр. |
| Flux 2 Pro | black forest labs | ₽1.17/изобр. |
| remove_background | Bria | ₽1.40/изобр. |
| Qwen Image Edit | alibaba | ₽1.95/изобр. |
| Wan2.6-T2I | Wan AI | ₽2.34/изобр. |
| blur_background | Bria | ₽3.12/изобр. |
| Bria-3.2 | Bria | ₽3.12/изобр. |
| Bria-3.2-vector | Bria | ₽3.12/изобр. |
| erase_foreground | Bria | ₽3.12/изобр. |
| expand | Bria | ₽3.12/изобр. |
| fibo | Bria | ₽3.12/изобр. |
| fibo_edit | Bria | ₽3.12/изобр. |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽3.12/изобр. |
| Seedream-4 | ByteDance | ₽3.12/изобр. |
| Qwen Image Max | qwen image max | ₽5.85/изобр. |
| FLUX.2 [max] | black forest labs | ₽7.80/изобр. |
Видео и аудио
за секунду · 5
▼
Видео и аудио
за секунду · 5
| Модель | Maker | Цена |
|---|---|---|
| Nemotron-3.5-ASR-Streaming-Multilingual-0.6b | nvidia | ₽0.0003/сек |
| Whisper Large V3 Turbo | openai | ₽0.0003/сек |
| whisper large | whisper large | ₽0.0006/сек |
| Voxtral-Mini-3B-2507 | mistralai | ₽0.0013/сек |
| Voxtral Small 24B 2507 | Mistral | ₽0.0039/сек |
Озвучка
за 1M символов · 10
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Озвучка
за 1M символов · 10
| Модель | Maker | Цена |
|---|---|---|
| Kokoro-82M | hexgrad | ₽48.33/1M симв. |
| chatterbox-multilingual | ResembleAI | ₽77.96/1M симв. |
| chatterbox-turbo | ResembleAI | ₽77.96/1M симв. |
| csm-1b | sesame | ₽546/1M симв. |
| HiggsAudioV2.5 | bosonai | ₽1 559/1M симв. |
| Qwen3-TTS | Qwen | ₽1 559/1M симв. |
| Qwen3-TTS-VoiceDesign | Qwen | ₽1 559/1M симв. |
| realtime-tts-1.5-mini | inworld ai | ₽1 949/1M симв. |
| realtime-tts-2 | inworld ai | ₽2 728/1M симв. |
| realtime-tts-1.5-max | inworld ai | ₽3 898/1M симв. |
Без публичной цены
нет данных в открытых источниках · 14
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Без публичной цены
нет данных в открытых источниках · 14
| Модель | Maker | Примечание |
|---|---|---|
| Cosmos3-Nano | nvidia | — |
| Cosmos3-Super | nvidia | — |
| gemini 3 pro image | — | |
| MiMo-V2.5-tts | XiaomiMiMo | — |
| MiMo-V2.5-tts-voicedesign | XiaomiMiMo | — |
| 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 165 моделей AI API. Средняя цена — ₽68/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.16/M (Embeddinggemma 300m).
Сравните цены на Nemotron-3.5-ASR-Streaming-Multilingual-0.6b , Whisper Large V3 Turbo , whisper large , Voxtral-Mini-3B-2507 и Voxtral Small 24B 2507 у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.