BurnCloud
Сайт ↗GPU-аренда + OneAPI: 500+ моделей, 900+ пользователей в 30+ странах
- Моделей
- 332
- Средняя цена
- ₽658/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары)
- Биллинг
- за токены
- API
- OpenAI-compatible
Сайт на английском · Ratio-модели — см. блок «Как считаются цены»
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 82.9977 ₽ · 1 CNY = 12.278 ₽ · 13.08.2026
331 моделей
Текст и чат
оплата за токены · 289
▼
Текст и чат
оплата за токены · 289
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽0.46/M | ₽0.93/M | ₽14 |
| Dall E 2 | dall e 2 | ₽0.46/M | ₽2.32/M | ₽21 |
| DALL E 3 | DALL E 3 | ₽0.70/M | ₽3.49/M | ₽31 |
| gpt oss 20b | openai | ₽1.16/M | ₽4.65/M | ₽46 |
| Gemini 2.0 Flash Lite | ₽1.74/M | ₽6.97/M | ₽70 | |
| GPT-5 Nano | gpt 5 nano | ₽1.16/M | ₽9.30/M | ₽70 |
| Text Embedding ADA | text embedding ada | ₽2.32/M | ₽4.65/M | ₽70 |
| text embedding 3 large | openai | ₽3.02/M | ₽4.32/M | ₽82 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽2.09/M | ₽8.37/M | ₽84 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽2.32/M | ₽9.30/M | ₽93 |
| gemini flash lite:free | gemini flash lite latest nothinking | ₽2.32/M | ₽9.30/M | ₽93 |
| gpt 4.1 nano | openai | ₽2.32/M | ₽9.30/M | ₽93 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽3.46/M | ₽6.92/M | ₽104 |
| doubao lite 32k 240828 | doubao lite 32k 240828 | ₽3.46/M | ₽6.92/M | ₽104 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽1.73/M | ₽17.29/M | ₽121 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽3.49/M | ₽13.94/M | ₽139 |
| GPT-4o Mini | gpt 4o mini | ₽3.49/M | ₽13.94/M | ₽139 |
| deepseek v4 flash | deepseek | ₽5.68/M | ₽11.36/M | ₽170 |
| qwen math plus | qwen math plus | ₽5.07/M | ₽15.22/M | ₽178 |
| gpt oss 120b | openai | ₽5.81/M | ₽16.04/M | ₽196 |
| Jina Colbert V2 | jina colbert v2 | ₽8.30/M | ₽8.30/M | ₽207 |
| Jina Embeddings V3 | jina embeddings v3 | ₽8.30/M | ₽8.30/M | ₽207 |
| Jina Reranker M0 | jina reranker m0 | ₽8.30/M | ₽8.30/M | ₽207 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽8.30/M | ₽8.30/M | ₽207 |
| glm 4.5 air | z ai | ₽4.65/M | ₽25.56/M | ₽221 |
| babbage 002 | babbage 002 | ₽9.30/M | ₽9.30/M | ₽232 |
| doubao lite 128k 240828 | doubao lite 128k 240828 | ₽9.22/M | ₽11.53/M | ₽242 |
| gpt 5 nano high | gpt 5 nano high | ₽4.15/M | ₽33.20/M | ₽249 |
| gpt 5 nano low | gpt 5 nano low | ₽4.15/M | ₽33.20/M | ₽249 |
| gpt 5 nano medium | gpt 5 nano medium | ₽4.15/M | ₽33.20/M | ₽249 |
| gpt 5 nano minimal | gpt 5 nano minimal | ₽4.15/M | ₽33.20/M | ₽249 |
| Phi 4 mini reasoning | Phi 4 mini reasoning | ₽6.22/M | ₽24.90/M | ₽249 |
| GLM 4.5 Airx | glm 4.5 airx | ₽6.46/M | ₽25.82/M | ₽258 |
| doubao pro 32k 241215 | doubao pro 32k 241215 | ₽9.22/M | ₽23.05/M | ₽300 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽9.22/M | ₽23.05/M | ₽300 |
| Qwen3 235B A22B Instruct | alibaba | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 5 mini high | gpt 5 mini high | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 5 mini low | gpt 5 mini low | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 5 mini medium | gpt 5 mini medium | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 5 mini minimal | gpt 5 mini minimal | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 5.1 codex mini | openai | ₽5.81/M | ₽46.48/M | ₽349 |
| GPT-5 Mini | gpt 5 mini | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 4.1 mini | openai | ₽9.30/M | ₽37.18/M | ₽372 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽9.34/M | ₽37.35/M | ₽373 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽12.68/M | ₽25.36/M | ₽380 |
| glm 4.6 | z ai | ₽10.46/M | ₽34.86/M | ₽383 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽6.27/M | ₽52.29/M | ₽387 |
| DeepSeek-V3 | deepseek ai | ₽10.37/M | ₽36.52/M | ₽390 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽12.45/M | ₽31.12/M | ₽405 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽12.45/M | ₽31.12/M | ₽405 |
| gpt 3.5 turbo | openai | ₽11.62/M | ₽34.86/M | ₽407 |
| Phi 4 | Microsoft | ₽10.37/M | ₽41.50/M | ₽415 |
| Phi 4 multimodal instruct | Phi 4 multimodal instruct | ₽10.37/M | ₽41.50/M | ₽415 |
| Phi 4 reasoning | Phi 4 reasoning | ₽10.37/M | ₽41.50/M | ₽415 |
| DeepSeek-V3.1 | deepseek ai | ₽11.20/M | ₽41.50/M | ₽432 |
| DeepSeek V3 | deepseek search | ₽11.91/M | ₽47.60/M | ₽476 |
| minimax m2 | minimax | ₽12.45/M | ₽49.80/M | ₽498 |
| minimax m2.1 | minimax | ₽12.45/M | ₽49.80/M | ₽498 |
| minimax m2.5 | minimax | ₽12.45/M | ₽49.80/M | ₽498 |
| Grok 3 Mini | grok 3 mini | ₽18.67/M | ₽31.12/M | ₽529 |
| grok 3 mini beta high | grok 3 mini beta high | ₽18.67/M | ₽31.75/M | ₽532 |
| grok 3 mini beta low | grok 3 mini beta low | ₽18.67/M | ₽31.75/M | ₽532 |
| grok 3 mini beta medium | grok 3 mini beta medium | ₽18.67/M | ₽31.75/M | ₽532 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽16.43/M | ₽41.08/M | ₽534 |
| glm 4.5 | z ai | ₽13.94/M | ₽51.13/M | ₽535 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽13.94/M | ₽55.77/M | ₽558 |
| Qwen3.5 397B A17B FP8 | Qwen3.5 397B A17B FP8 | ₽11.37/M | ₽68.22/M | ₽569 |
| Gemini 3 Flash | gemini 3 flash | ₽11.62/M | ₽69.72/M | ₽581 |
| gemini 3 flash preview high | gemini 3 flash preview high | ₽11.62/M | ₽69.72/M | ₽581 |
| gemini 3 flash preview low | gemini 3 flash preview low | ₽11.62/M | ₽69.72/M | ₽581 |
| gemini 3 flash preview medium | gemini 3 flash preview medium | ₽11.62/M | ₽69.72/M | ₽581 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽18.26/M | ₽45.65/M | ₽593 |
| doubao 1 5 vision pro 32k 250115 | doubao 1 5 vision pro 32k 250115 | ₽17.29/M | ₽51.87/M | ₽605 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽17.29/M | ₽51.87/M | ₽605 |
| Text Ada 001 | text ada 001 | ₽24.90/M | ₽24.90/M | ₽622 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽9.22/M | ₽92.22/M | ₽646 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽9.22/M | ₽92.22/M | ₽646 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽16.60/M | ₽64.74/M | ₽656 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽23.24/M | ₽46.48/M | ₽697 |
| Qwen Plus | qwen plus | ₽10.14/M | ₽101/M | ₽710 |
| Grok Code Fast 1 | grok code fast 1 | ₽12.45/M | ₽93.37/M | ₽716 |
| Text Babbage 001 | text babbage 001 | ₽31.12/M | ₽31.12/M | ₽778 |
| deepseek v3.2 | deepseek | ₽24.07/M | ₽69.72/M | ₽830 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽20.75/M | ₽90.47/M | ₽867 |
| gpt 5.4 mini | openai | ₽17.43/M | ₽105/M | ₽871 |
| qwen math turbo | qwen math turbo | ₽25.36/M | ₽76.08/M | ₽888 |
| qwen coder turbo | qwen coder turbo | ₽26.07/M | ₽78.22/M | ₽913 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽23.05/M | ₽92.22/M | ₽922 |
| DeepSeek R1 | deepseek r1 | ₽23.82/M | ₽95.20/M | ₽952 |
| Kimi K2 | kimi k2 | ₽23.82/M | ₽95.20/M | ₽952 |
| glm 4.7 | z ai | ₽24.90/M | ₽91.30/M | ₽954 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽27.39/M | ₽82.17/M | ₽959 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽24.90/M | ₽99.60/M | ₽996 |
| o3 mini low | o3 mini low | ₽25.56/M | ₽102/M | ₽1 023 |
| o3 mini medium | o3 mini medium | ₽25.56/M | ₽102/M | ₽1 023 |
| o4 mini low | o4 mini low | ₽25.56/M | ₽102/M | ₽1 023 |
| o4 mini medium | o4 mini medium | ₽25.56/M | ₽102/M | ₽1 023 |
| GLM 4.5 X | glm 4.5 x | ₽25.82/M | ₽103/M | ₽1 033 |
| Qwen Text Embedding v3 | alibaba | ₽43.57/M | ₽43.57/M | ₽1 089 |
| Kimi K2.5 | kimi k2.5 | ₽23.82/M | ₽131/M | ₽1 131 |
| Davinci | davinci | ₽46.48/M | ₽46.48/M | ₽1 162 |
| GPT-4o Mini Transcribe | openai | ₽29.05/M | ₽116/M | ₽1 162 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽34.58/M | ₽104/M | ₽1 210 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽34.58/M | ₽104/M | ₽1 210 |
| Qwen Max | qwen max | ₽31.30/M | ₽125/M | ₽1 252 |
| Qwen Max Longcontext | qwen max longcontext | ₽31.30/M | ₽125/M | ₽1 252 |
| Moonshot V1 8K | moonshot v1 8k | ₽18.26/M | ₽183/M | ₽1 278 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽18.26/M | ₽183/M | ₽1 278 |
| Gemini Flash Latest | gemini flash latest | ₽23.24/M | ₽174/M | ₽1 336 |
| qwen coder plus | qwen coder plus | ₽45.65/M | ₽91.30/M | ₽1 369 |
| qwen coder plus 1106 | qwen coder plus 1106 | ₽45.65/M | ₽91.30/M | ₽1 369 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽45.65/M | ₽91.30/M | ₽1 369 |
| qwen3 coder 480b | qwen3 coder 480b | ₽47.43/M | ₽94.92/M | ₽1 423 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽47.43/M | ₽94.92/M | ₽1 423 |
| gpt realtime mini | gpt realtime mini | ₽37.35/M | ₽149/M | ₽1 494 |
| doubao 1 5 ui tars 250428 | doubao 1 5 ui tars 250428 | ₽40.35/M | ₽138/M | ₽1 499 |
| gpt 5 chat | openai | ₽26.14/M | ₽209/M | ₽1 569 |
| deepseek v3.1 | deepseek v3.1 | ₽46.48/M | ₽139/M | ₽1 627 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽57.64/M | ₽104/M | ₽1 671 |
| gpt 4o mini tts | openai | ₽13.94/M | ₽279/M | ₽1 673 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽29.05/M | ₽232/M | ₽1 743 |
| gemini 3.5 flash | ₽34.86/M | ₽209/M | ₽1 743 | |
| gpt 5 codex | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 codex high | gpt 5 codex high | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 codex low | gpt 5 codex low | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 codex medium | gpt 5 codex medium | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 high | gpt 5 high | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 low | gpt 5 low | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 medium | gpt 5 medium | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 minimal | gpt 5 minimal | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 search api | gpt 5 search api | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 chat | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 codex | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 codex max | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 low | gpt 5.1 low | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 medium | gpt 5.1 medium | ₽29.05/M | ₽232/M | ₽1 743 |
| GPT-5 | gpt 5 | ₽29.05/M | ₽232/M | ₽1 743 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽50.72/M | ₽152/M | ₽1 775 |
| qwen3.5 397b a17b | qwen | ₽35.69/M | ₽214/M | ₽1 784 |
| gpt 5.1 high | gpt 5.1 high | ₽30.21/M | ₽242/M | ₽1 813 |
| Qwen Long | qwen long | ₽45.65/M | ₽183/M | ₽1 826 |
| glm 5.2 | z ai | ₽48.97/M | ₽172/M | ₽1 838 |
| deepseek r1 250528 | deepseek r1 250528 | ₽45.98/M | ₽184/M | ₽1 839 |
| o3 high | o3 high | ₽46.48/M | ₽186/M | ₽1 859 |
| o3 low | o3 low | ₽46.48/M | ₽186/M | ₽1 859 |
| o3 medium | o3 medium | ₽46.48/M | ₽186/M | ₽1 859 |
| o4 mini deep research | openai | ₽46.48/M | ₽186/M | ₽1 859 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽41.50/M | ₽207/M | ₽1 867 |
| gpt 3.5 turbo 16k | openai | ₽69.72/M | ₽97.61/M | ₽1 882 |
| Qwen Turbo | qwen turbo | ₽27.39/M | ₽274/M | ₽1 917 |
| Qwen3 1.7b | qwen3 1.7b | ₽27.39/M | ₽274/M | ₽1 917 |
| Qwen3 4B | qwen3 4b | ₽27.39/M | ₽274/M | ₽1 917 |
| grok 3 mini fast beta high | grok 3 mini fast beta high | ₽37.35/M | ₽250/M | ₽1 998 |
| grok 3 mini fast beta low | grok 3 mini fast beta low | ₽37.35/M | ₽250/M | ₽1 998 |
| grok 3 mini fast beta medium | grok 3 mini fast beta medium | ₽37.35/M | ₽250/M | ₽1 998 |
| deepseek v4 pro | deepseek | ₽68.06/M | ₽136/M | ₽2 042 |
| glm 5.1 | z ai | ₽58.10/M | ₽183/M | ₽2 075 |
| Qwen3 Coder 480B A35B Instruct FP8 | Qwen | ₽83.00/M | ₽83.00/M | ₽2 075 |
| gpt 4.1 | openai | ₽54.71/M | ₽219/M | ₽2 188 |
| Claude 3.5 Haiku | Anthropic | ₽49.80/M | ₽249/M | ₽2 241 |
| Gemini 3 Pro | gemini 3 pro | ₽46.48/M | ₽279/M | ₽2 324 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽46.48/M | ₽279/M | ₽2 324 |
| gpt image 1 mini | openai | ₽58.10/M | ₽232/M | ₽2 324 |
| GPT-4o Transcribe | openai | ₽58.10/M | ₽232/M | ₽2 324 |
| Qwen-VL Plus | alibaba | ₽73.04/M | ₽183/M | ₽2 374 |
| qwen3.5 plus | qwen3.5 plus | ₽47.56/M | ₽286/M | ₽2 379 |
| gpt 5.2 | openai | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 chat | openai | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 codex | openai | ₽40.67/M | ₽325/M | ₽2 440 |
| GPT 5.2 High | gpt 5.2 high | ₽40.67/M | ₽325/M | ₽2 440 |
| GPT 5.2 Low | gpt 5.2 low | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 medium | gpt 5.2 medium | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 none | gpt 5.2 none | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 xhigh | gpt 5.2 xhigh | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.3 codex | openai | ₽40.67/M | ₽325/M | ₽2 440 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽47.72/M | ₽332/M | ₽2 614 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽91.30/M | ₽183/M | ₽2 739 |
| doubao seedance 1 0 lite i2v 250428 | doubao seedance 1 0 lite i2v 250428 | ₽114/M | ₽114/M | ₽2 842 |
| doubao seedance 1 0 lite t2v 250428 | doubao seedance 1 0 lite t2v 250428 | ₽114/M | ₽114/M | ₽2 842 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽114/M | ₽114/M | ₽2 842 |
| doubao seededit 3 0 i2i 250628 | doubao seededit 3 0 i2i 250628 | ₽114/M | ₽114/M | ₽2 842 |
| doubao seedream 3 0 t2i 250415 | doubao seedream 3 0 t2i 250415 | ₽114/M | ₽114/M | ₽2 842 |
| gpt 5.4 | openai | ₽58.10/M | ₽349/M | ₽2 905 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽58.10/M | ₽349/M | ₽2 905 |
| GLM-5 | glm 5 | ₽83.00/M | ₽266/M | ₽2 988 |
| Text Curie 001 | text curie 001 | ₽124/M | ₽124/M | ₽3 112 |
| Moonshot V1 32K | moonshot v1 32k | ₽91.30/M | ₽274/M | ₽3 195 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽91.30/M | ₽274/M | ₽3 195 |
| qwen3 8b | qwen | ₽45.65/M | ₽456/M | ₽3 195 |
| gpt audio | openai | ₽116/M | ₽232/M | ₽3 486 |
| gpt audio mini | openai | ₽116/M | ₽232/M | ₽3 486 |
| whisper 1 | openai | ₽139/M | ₽139/M | ₽3 486 |
| gemini 2.5 flash image | ₽6.97/M | ₽697/M | ₽3 625 | |
| gpt image 1.5 | openai | ₽74.37/M | ₽476/M | ₽3 867 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽99.60/M | ₽415/M | ₽4 067 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽116/M | ₽465/M | ₽4 648 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽116/M | ₽465/M | ₽4 648 |
| Gemini 2.5 Computer Use Preview 10-2025 | gemini 2.5 computer use preview 10 2025 | ₽77.81/M | ₽622/M | ₽4 669 |
| Qwen-VL Max | alibaba | ₽146/M | ₽365/M | ₽4 747 |
| qwen3 30b a3b | qwen | ₽68.47/M | ₽685/M | ₽4 793 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽124/M | ₽622/M | ₽5 602 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽124/M | ₽622/M | ₽5 602 |
| claude sonnet 5 | anthropic | ₽124/M | ₽622/M | ₽5 602 |
| grok 2 | grok 2 | ₽124/M | ₽622/M | ₽5 602 |
| grok 2 vision | grok 2 vision | ₽124/M | ₽622/M | ₽5 602 |
| gpt image 2 l | gpt image 2 l | ₽116/M | ₽697/M | ₽5 810 |
| qwen3 235b a22b | qwen | ₽83.00/M | ₽830/M | ₽5 810 |
| Moonshot V1 128K | moonshot v1 128k | ₽183/M | ₽456/M | ₽5 934 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽183/M | ₽456/M | ₽5 934 |
| gemini 3.1 pro preview customtools | ₽124/M | ₽747/M | ₽6 225 | |
| GPT 4o Transcribe Diarize | gpt 4o transcribe diarize | ₽156/M | ₽622/M | ₽6 225 |
| qwen 2.5 coder 32b instruct | qwen | ₽183/M | ₽548/M | ₽6 391 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽183/M | ₽548/M | ₽6 391 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽183/M | ₽548/M | ₽6 391 |
| qwen3 14b | qwen | ₽91.30/M | ₽913/M | ₽6 391 |
| gpt 5.1 none | gpt 5.1 none | ₽108/M | ₽863/M | ₽6 474 |
| Phi 4 mini instruct | Phi 4 mini instruct | ₽166/M | ₽664/M | ₽6 640 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽232/M | ₽465/M | ₽6 972 |
| gpt 4 vision | gpt 4 vision | ₽232/M | ₽465/M | ₽6 972 |
| gpt image 1 | openai | ₽232/M | ₽465/M | ₽6 972 |
| grok 3 deepsearch | grok 3 deepsearch | ₽166/M | ₽747/M | ₽7 055 |
| gemini 3.1 flash image | ₽11.62/M | ₽1 394/M | ₽7 204 | |
| gpt realtime | gpt realtime | ₽249/M | ₽498/M | ₽7 470 |
| Grok 4 | grok 4 | ₽168/M | ₽840/M | ₽7 563 |
| gpt 4 turbo | openai | ₽232/M | ₽697/M | ₽8 134 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽187/M | ₽934/M | ₽8 404 |
| Claude Sonnet 4 | claude sonnet 4 | ₽187/M | ₽934/M | ₽8 404 |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽187/M | ₽934/M | ₽8 404 |
| tts 1 | openai | ₽349/M | ₽349/M | ₽8 715 |
| Tts 1 1106 | tts 1 1106 | ₽349/M | ₽349/M | ₽8 715 |
| o3 deep research | openai | ₽232/M | ₽930/M | ₽9 296 |
| Claude Opus 4.5 | claude opus 4 5 | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.7 | claude opus 4 7 | ₽207/M | ₽1 037/M | ₽9 337 |
| claude opus 4.8 | anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Computer Use Preview | computer use preview | ₽249/M | ₽996/M | ₽9 960 |
| GPT 5.4 High | gpt 5.4 high | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT 5.4 Low | gpt 5.4 low | ₽207/M | ₽1 245/M | ₽10 375 |
| gpt 5.4 medium | gpt 5.4 medium | ₽207/M | ₽1 245/M | ₽10 375 |
| gpt 5.4 none | gpt 5.4 none | ₽207/M | ₽1 245/M | ₽10 375 |
| gpt 5.4 pro | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| qwen 2.5 72b instruct | qwen | ₽365/M | ₽1 096/M | ₽12 782 |
| qwen3 32b | qwen | ₽183/M | ₽1 826/M | ₽12 782 |
| o1 high | o1 high | ₽349/M | ₽1 394/M | ₽13 944 |
| o1 low | o1 low | ₽349/M | ₽1 394/M | ₽13 944 |
| o1 medium | o1 medium | ₽349/M | ₽1 394/M | ₽13 944 |
| gemini 3 pro image preview flatfee | gemini 3 pro image preview flatfee | ₽46.48/M | ₽2 789/M | ₽14 873 |
| grok beta | grok beta | ₽456/M | ₽1 369/M | ₽15 977 |
| Grok Vision Beta | grok vision beta | ₽456/M | ₽1 369/M | ₽15 977 |
| Qwen3-VL Plus | alibaba | ₽249/M | ₽2 490/M | ₽17 430 |
| tts 1 hd | openai | ₽697/M | ₽697/M | ₽17 430 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽697/M | ₽697/M | ₽17 430 |
| claude fable 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| gpt 5 pro | openai | ₽349/M | ₽2 789/M | ₽20 915 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 245/M | ₽1 245/M | ₽31 124 |
| GPT 4 32K | gpt 4 32k | ₽1 394/M | ₽2 789/M | ₽41 831 |
| Claude Opus 4 | claude opus 4 | ₽934/M | ₽4 669/M | ₽42 018 |
| Veo 3 Text to Video | ₽1 743/M | ₽1 743/M | ₽43 574 | |
| Veo 3.1 Text to Video | veo3.1 | ₽1 743/M | ₽1 743/M | ₽43 574 |
| veo3 pro | veo3 pro | ₽1 743/M | ₽1 743/M | ₽43 574 |
| veo3.1 components | veo3.1 components | ₽1 743/M | ₽1 743/M | ₽43 574 |
| veo3.1 pro | veo3.1 pro | ₽1 743/M | ₽1 743/M | ₽43 574 |
| gpt 35 turbo | gpt 35 turbo | ₽1 743/M | ₽3 486/M | ₽52 289 |
| gpt 4.5 preview | gpt 4.5 preview | ₽1 743/M | ₽3 486/M | ₽52 289 |
| qwen3 coder plus | qwen | ₽830/M | ₽8 300/M | ₽58 098 |
| gemini 3.1 flash lite | ₽1 743/M | ₽6 972/M | ₽69 718 | |
| gpt 5.2 pro | openai | ₽1 176/M | ₽9 412/M | ₽70 590 |
| MiniMax M2.1 highspeed | MiniMax M2.1 highspeed | ₽3 112/M | ₽3 112/M | ₽77 810 |
| Qwen2 72B Instruct | Qwen | ₽3 112/M | ₽3 112/M | ₽77 810 |
| qwen3.6 plus | qwen | ₽3 112/M | ₽3 112/M | ₽77 810 |
| gpt 5.5 | openai | ₽1 743/M | ₽10 458/M | ₽87 148 |
| gpt 5.1 codex high | gpt 5.1 codex high | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.1 codex medium | gpt 5.1 codex medium | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.1 minimal | gpt 5.1 minimal | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.6 luna | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.6 sol | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.6 terra | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| Claude Opus 4.6 | claude opus 4 6 | ₽3 112/M | ₽15 562/M | ₽140 059 |
| gpt image 1.5 1 | gpt image 1.5 1 | ₽4 669/M | ₽9 337/M | ₽140 059 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽6 225/M | ₽6 225/M | ₽155 621 |
| minimax m2.7 | minimax | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen Image Edit Max | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen Image Max | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3.5 122b a10b | qwen | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3.5 27b | qwen | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3.5 35b a3b | qwen | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen3.5 Flash | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| gpt 4o 64k output alpha | gpt 4o 64k output alpha | ₽4 669/M | ₽18 674/M | ₽186 745 |
Изображения
за изображение · 12
▼
Изображения
за изображение · 12
| Модель | Maker | Цена |
|---|---|---|
| gpt 4o image | gpt 4o image | ₽0.81/изобр. |
| flux kontext pro | flux kontext pro | ₽0.93/изобр. |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽1.24/изобр. |
| doubao seedream 5 0 260128 | doubao seedream 5 0 260128 | ₽1.34/изобр. |
| gpt 4 | openai | ₽1.39/изобр. |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽1.49/изобр. |
| Flux Kontext Max | flux kontext max | ₽1.86/изобр. |
| wan2.6 image | wan2.6 image | ₽2.61/изобр. |
| doubao seedream 5 0 pro 260628 | doubao seedream 5 0 pro 260628 | ₽5.60/изобр. |
| gpt image 2 | gpt image 2 | ₽6.97/изобр. |
| Qwen Image | alibaba | ₽15.56/изобр. |
| Qwen Image Edit | alibaba | ₽18.67/изобр. |
За запрос
фиксированная цена за вызов · 25
▼
За запрос
фиксированная цена за вызов · 25
| Модель | Maker | Цена |
|---|---|---|
| GPT-4o | gpt 4o | ₽0.81/вызов |
| O3 Mini | o3 mini | ₽0.81/вызов |
| O4 Mini | o4 mini | ₽0.81/вызов |
| gemini 2.5 pro flatfee | gemini 2.5 pro flatfee | ₽1.04/вызов |
| gpt 4 gizmo * | gpt 4 gizmo * | ₽1.74/вызов |
| O1 Mini | o1 mini | ₽2.32/вызов |
| o3 mini high | openai | ₽2.32/вызов |
| o4 mini high | openai | ₽2.32/вызов |
| grok 3 nx | grok 3 nx | ₽2.49/вызов |
| Wan2.6 T2i | wan2.6 t2i | ₽2.61/вызов |
| gpt 5 flatfee | gpt 5 flatfee | ₽4.15/вызов |
| gpt 5.1 flatfee | gpt 5.1 flatfee | ₽4.15/вызов |
| Wan 2.6 Image to Video Flash | alibaba | ₽5.98/вызов |
| O1 | o1 | ₽9.30/вызов |
| O3 | o3 | ₽9.30/вызов |
| Sora 2 | Sora 2 | ₽9.96/вызов |
| Wan2.6 I2v | wan2.6 i2v | ₽11.62/вызов |
| Wan 2.6 Reference-to-Video | alibaba | ₽13.05/вызов |
| wan2.6 r2v flash | wan2.6 r2v flash | ₽13.05/вызов |
| Wan2.6 T2v | wan2.6 t2v | ₽13.05/вызов |
| o1 pro | openai | ₽18.59/вызов |
| Sora 2 Pro | sora 2 pro | ₽29.05/вызов |
| Grok 3 | grok 3 | ₽29.88/вызов |
| grok 3 reasoning | grok 3 reasoning | ₽29.88/вызов |
| o3 pro | openai | ₽49.80/вызов |
Без публичной цены
нет данных в открытых источниках · 4
▼
Без публичной цены
нет данных в открытых источниках · 4
| Модель | Maker | Примечание |
|---|---|---|
| glm 4.5 flash | glm 4.5 flash | — |
| llama 4 maverick 17b 128e instruct | llama 4 maverick 17b 128e instruct | — |
| Text Moderation | text moderation latest | — |
| Text Moderation Stable | text moderation stable | — |
Текст и чат
оплата за токены · 289
▼
Текст и чат
оплата за токены · 289
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽0.46/M | ₽0.93/M | ₽14 |
| Dall E 2 | dall e 2 | ₽0.46/M | ₽2.32/M | ₽21 |
| DALL E 3 | DALL E 3 | ₽0.70/M | ₽3.49/M | ₽31 |
| gpt oss 20b | openai | ₽1.16/M | ₽4.65/M | ₽46 |
| Gemini 2.0 Flash Lite | ₽1.74/M | ₽6.97/M | ₽70 | |
| GPT-5 Nano | gpt 5 nano | ₽1.16/M | ₽9.30/M | ₽70 |
| Text Embedding ADA | text embedding ada | ₽2.32/M | ₽4.65/M | ₽70 |
| text embedding 3 large | openai | ₽3.02/M | ₽4.32/M | ₽82 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽2.09/M | ₽8.37/M | ₽84 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽2.32/M | ₽9.30/M | ₽93 |
| gemini flash lite:free | gemini flash lite latest nothinking | ₽2.32/M | ₽9.30/M | ₽93 |
| gpt 4.1 nano | openai | ₽2.32/M | ₽9.30/M | ₽93 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽3.46/M | ₽6.92/M | ₽104 |
| doubao lite 32k 240828 | doubao lite 32k 240828 | ₽3.46/M | ₽6.92/M | ₽104 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽1.73/M | ₽17.29/M | ₽121 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽3.49/M | ₽13.94/M | ₽139 |
| GPT-4o Mini | gpt 4o mini | ₽3.49/M | ₽13.94/M | ₽139 |
| deepseek v4 flash | deepseek | ₽5.68/M | ₽11.36/M | ₽170 |
| qwen math plus | qwen math plus | ₽5.07/M | ₽15.22/M | ₽178 |
| gpt oss 120b | openai | ₽5.81/M | ₽16.04/M | ₽196 |
| Jina Colbert V2 | jina colbert v2 | ₽8.30/M | ₽8.30/M | ₽207 |
| Jina Embeddings V3 | jina embeddings v3 | ₽8.30/M | ₽8.30/M | ₽207 |
| Jina Reranker M0 | jina reranker m0 | ₽8.30/M | ₽8.30/M | ₽207 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽8.30/M | ₽8.30/M | ₽207 |
| glm 4.5 air | z ai | ₽4.65/M | ₽25.56/M | ₽221 |
| babbage 002 | babbage 002 | ₽9.30/M | ₽9.30/M | ₽232 |
| doubao lite 128k 240828 | doubao lite 128k 240828 | ₽9.22/M | ₽11.53/M | ₽242 |
| gpt 5 nano high | gpt 5 nano high | ₽4.15/M | ₽33.20/M | ₽249 |
| gpt 5 nano low | gpt 5 nano low | ₽4.15/M | ₽33.20/M | ₽249 |
| gpt 5 nano medium | gpt 5 nano medium | ₽4.15/M | ₽33.20/M | ₽249 |
| gpt 5 nano minimal | gpt 5 nano minimal | ₽4.15/M | ₽33.20/M | ₽249 |
| Phi 4 mini reasoning | Phi 4 mini reasoning | ₽6.22/M | ₽24.90/M | ₽249 |
| GLM 4.5 Airx | glm 4.5 airx | ₽6.46/M | ₽25.82/M | ₽258 |
| doubao pro 32k 241215 | doubao pro 32k 241215 | ₽9.22/M | ₽23.05/M | ₽300 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽9.22/M | ₽23.05/M | ₽300 |
| Qwen3 235B A22B Instruct | alibaba | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 5 mini high | gpt 5 mini high | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 5 mini low | gpt 5 mini low | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 5 mini medium | gpt 5 mini medium | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 5 mini minimal | gpt 5 mini minimal | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 5.1 codex mini | openai | ₽5.81/M | ₽46.48/M | ₽349 |
| GPT-5 Mini | gpt 5 mini | ₽5.81/M | ₽46.48/M | ₽349 |
| gpt 4.1 mini | openai | ₽9.30/M | ₽37.18/M | ₽372 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽9.34/M | ₽37.35/M | ₽373 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽12.68/M | ₽25.36/M | ₽380 |
| glm 4.6 | z ai | ₽10.46/M | ₽34.86/M | ₽383 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽6.27/M | ₽52.29/M | ₽387 |
| DeepSeek-V3 | deepseek ai | ₽10.37/M | ₽36.52/M | ₽390 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽12.45/M | ₽31.12/M | ₽405 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽12.45/M | ₽31.12/M | ₽405 |
| gpt 3.5 turbo | openai | ₽11.62/M | ₽34.86/M | ₽407 |
| Phi 4 | Microsoft | ₽10.37/M | ₽41.50/M | ₽415 |
| Phi 4 multimodal instruct | Phi 4 multimodal instruct | ₽10.37/M | ₽41.50/M | ₽415 |
| Phi 4 reasoning | Phi 4 reasoning | ₽10.37/M | ₽41.50/M | ₽415 |
| DeepSeek-V3.1 | deepseek ai | ₽11.20/M | ₽41.50/M | ₽432 |
| DeepSeek V3 | deepseek search | ₽11.91/M | ₽47.60/M | ₽476 |
| minimax m2 | minimax | ₽12.45/M | ₽49.80/M | ₽498 |
| minimax m2.1 | minimax | ₽12.45/M | ₽49.80/M | ₽498 |
| minimax m2.5 | minimax | ₽12.45/M | ₽49.80/M | ₽498 |
| Grok 3 Mini | grok 3 mini | ₽18.67/M | ₽31.12/M | ₽529 |
| grok 3 mini beta high | grok 3 mini beta high | ₽18.67/M | ₽31.75/M | ₽532 |
| grok 3 mini beta low | grok 3 mini beta low | ₽18.67/M | ₽31.75/M | ₽532 |
| grok 3 mini beta medium | grok 3 mini beta medium | ₽18.67/M | ₽31.75/M | ₽532 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽16.43/M | ₽41.08/M | ₽534 |
| glm 4.5 | z ai | ₽13.94/M | ₽51.13/M | ₽535 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽13.94/M | ₽55.77/M | ₽558 |
| Qwen3.5 397B A17B FP8 | Qwen3.5 397B A17B FP8 | ₽11.37/M | ₽68.22/M | ₽569 |
| Gemini 3 Flash | gemini 3 flash | ₽11.62/M | ₽69.72/M | ₽581 |
| gemini 3 flash preview high | gemini 3 flash preview high | ₽11.62/M | ₽69.72/M | ₽581 |
| gemini 3 flash preview low | gemini 3 flash preview low | ₽11.62/M | ₽69.72/M | ₽581 |
| gemini 3 flash preview medium | gemini 3 flash preview medium | ₽11.62/M | ₽69.72/M | ₽581 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽18.26/M | ₽45.65/M | ₽593 |
| doubao 1 5 vision pro 32k 250115 | doubao 1 5 vision pro 32k 250115 | ₽17.29/M | ₽51.87/M | ₽605 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽17.29/M | ₽51.87/M | ₽605 |
| Text Ada 001 | text ada 001 | ₽24.90/M | ₽24.90/M | ₽622 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽9.22/M | ₽92.22/M | ₽646 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽9.22/M | ₽92.22/M | ₽646 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽16.60/M | ₽64.74/M | ₽656 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽23.24/M | ₽46.48/M | ₽697 |
| Qwen Plus | qwen plus | ₽10.14/M | ₽101/M | ₽710 |
| Grok Code Fast 1 | grok code fast 1 | ₽12.45/M | ₽93.37/M | ₽716 |
| Text Babbage 001 | text babbage 001 | ₽31.12/M | ₽31.12/M | ₽778 |
| deepseek v3.2 | deepseek | ₽24.07/M | ₽69.72/M | ₽830 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽20.75/M | ₽90.47/M | ₽867 |
| gpt 5.4 mini | openai | ₽17.43/M | ₽105/M | ₽871 |
| qwen math turbo | qwen math turbo | ₽25.36/M | ₽76.08/M | ₽888 |
| qwen coder turbo | qwen coder turbo | ₽26.07/M | ₽78.22/M | ₽913 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽23.05/M | ₽92.22/M | ₽922 |
| DeepSeek R1 | deepseek r1 | ₽23.82/M | ₽95.20/M | ₽952 |
| Kimi K2 | kimi k2 | ₽23.82/M | ₽95.20/M | ₽952 |
| glm 4.7 | z ai | ₽24.90/M | ₽91.30/M | ₽954 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽27.39/M | ₽82.17/M | ₽959 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽24.90/M | ₽99.60/M | ₽996 |
| o3 mini low | o3 mini low | ₽25.56/M | ₽102/M | ₽1 023 |
| o3 mini medium | o3 mini medium | ₽25.56/M | ₽102/M | ₽1 023 |
| o4 mini low | o4 mini low | ₽25.56/M | ₽102/M | ₽1 023 |
| o4 mini medium | o4 mini medium | ₽25.56/M | ₽102/M | ₽1 023 |
| GLM 4.5 X | glm 4.5 x | ₽25.82/M | ₽103/M | ₽1 033 |
| Qwen Text Embedding v3 | alibaba | ₽43.57/M | ₽43.57/M | ₽1 089 |
| Kimi K2.5 | kimi k2.5 | ₽23.82/M | ₽131/M | ₽1 131 |
| Davinci | davinci | ₽46.48/M | ₽46.48/M | ₽1 162 |
| GPT-4o Mini Transcribe | openai | ₽29.05/M | ₽116/M | ₽1 162 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽34.58/M | ₽104/M | ₽1 210 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽34.58/M | ₽104/M | ₽1 210 |
| Qwen Max | qwen max | ₽31.30/M | ₽125/M | ₽1 252 |
| Qwen Max Longcontext | qwen max longcontext | ₽31.30/M | ₽125/M | ₽1 252 |
| Moonshot V1 8K | moonshot v1 8k | ₽18.26/M | ₽183/M | ₽1 278 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽18.26/M | ₽183/M | ₽1 278 |
| Gemini Flash Latest | gemini flash latest | ₽23.24/M | ₽174/M | ₽1 336 |
| qwen coder plus | qwen coder plus | ₽45.65/M | ₽91.30/M | ₽1 369 |
| qwen coder plus 1106 | qwen coder plus 1106 | ₽45.65/M | ₽91.30/M | ₽1 369 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽45.65/M | ₽91.30/M | ₽1 369 |
| qwen3 coder 480b | qwen3 coder 480b | ₽47.43/M | ₽94.92/M | ₽1 423 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽47.43/M | ₽94.92/M | ₽1 423 |
| gpt realtime mini | gpt realtime mini | ₽37.35/M | ₽149/M | ₽1 494 |
| doubao 1 5 ui tars 250428 | doubao 1 5 ui tars 250428 | ₽40.35/M | ₽138/M | ₽1 499 |
| gpt 5 chat | openai | ₽26.14/M | ₽209/M | ₽1 569 |
| deepseek v3.1 | deepseek v3.1 | ₽46.48/M | ₽139/M | ₽1 627 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽57.64/M | ₽104/M | ₽1 671 |
| gpt 4o mini tts | openai | ₽13.94/M | ₽279/M | ₽1 673 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽29.05/M | ₽232/M | ₽1 743 |
| gemini 3.5 flash | ₽34.86/M | ₽209/M | ₽1 743 | |
| gpt 5 codex | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 codex high | gpt 5 codex high | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 codex low | gpt 5 codex low | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 codex medium | gpt 5 codex medium | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 high | gpt 5 high | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 low | gpt 5 low | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 medium | gpt 5 medium | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 minimal | gpt 5 minimal | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5 search api | gpt 5 search api | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 chat | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 codex | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 codex max | openai | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 low | gpt 5.1 low | ₽29.05/M | ₽232/M | ₽1 743 |
| gpt 5.1 medium | gpt 5.1 medium | ₽29.05/M | ₽232/M | ₽1 743 |
| GPT-5 | gpt 5 | ₽29.05/M | ₽232/M | ₽1 743 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽50.72/M | ₽152/M | ₽1 775 |
| qwen3.5 397b a17b | qwen | ₽35.69/M | ₽214/M | ₽1 784 |
| gpt 5.1 high | gpt 5.1 high | ₽30.21/M | ₽242/M | ₽1 813 |
| Qwen Long | qwen long | ₽45.65/M | ₽183/M | ₽1 826 |
| glm 5.2 | z ai | ₽48.97/M | ₽172/M | ₽1 838 |
| deepseek r1 250528 | deepseek r1 250528 | ₽45.98/M | ₽184/M | ₽1 839 |
| o3 high | o3 high | ₽46.48/M | ₽186/M | ₽1 859 |
| o3 low | o3 low | ₽46.48/M | ₽186/M | ₽1 859 |
| o3 medium | o3 medium | ₽46.48/M | ₽186/M | ₽1 859 |
| o4 mini deep research | openai | ₽46.48/M | ₽186/M | ₽1 859 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽41.50/M | ₽207/M | ₽1 867 |
| gpt 3.5 turbo 16k | openai | ₽69.72/M | ₽97.61/M | ₽1 882 |
| Qwen Turbo | qwen turbo | ₽27.39/M | ₽274/M | ₽1 917 |
| Qwen3 1.7b | qwen3 1.7b | ₽27.39/M | ₽274/M | ₽1 917 |
| Qwen3 4B | qwen3 4b | ₽27.39/M | ₽274/M | ₽1 917 |
| grok 3 mini fast beta high | grok 3 mini fast beta high | ₽37.35/M | ₽250/M | ₽1 998 |
| grok 3 mini fast beta low | grok 3 mini fast beta low | ₽37.35/M | ₽250/M | ₽1 998 |
| grok 3 mini fast beta medium | grok 3 mini fast beta medium | ₽37.35/M | ₽250/M | ₽1 998 |
| deepseek v4 pro | deepseek | ₽68.06/M | ₽136/M | ₽2 042 |
| glm 5.1 | z ai | ₽58.10/M | ₽183/M | ₽2 075 |
| Qwen3 Coder 480B A35B Instruct FP8 | Qwen | ₽83.00/M | ₽83.00/M | ₽2 075 |
| gpt 4.1 | openai | ₽54.71/M | ₽219/M | ₽2 188 |
| Claude 3.5 Haiku | Anthropic | ₽49.80/M | ₽249/M | ₽2 241 |
| Gemini 3 Pro | gemini 3 pro | ₽46.48/M | ₽279/M | ₽2 324 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽46.48/M | ₽279/M | ₽2 324 |
| gpt image 1 mini | openai | ₽58.10/M | ₽232/M | ₽2 324 |
| GPT-4o Transcribe | openai | ₽58.10/M | ₽232/M | ₽2 324 |
| Qwen-VL Plus | alibaba | ₽73.04/M | ₽183/M | ₽2 374 |
| qwen3.5 plus | qwen3.5 plus | ₽47.56/M | ₽286/M | ₽2 379 |
| gpt 5.2 | openai | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 chat | openai | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 codex | openai | ₽40.67/M | ₽325/M | ₽2 440 |
| GPT 5.2 High | gpt 5.2 high | ₽40.67/M | ₽325/M | ₽2 440 |
| GPT 5.2 Low | gpt 5.2 low | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 medium | gpt 5.2 medium | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 none | gpt 5.2 none | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.2 xhigh | gpt 5.2 xhigh | ₽40.67/M | ₽325/M | ₽2 440 |
| gpt 5.3 codex | openai | ₽40.67/M | ₽325/M | ₽2 440 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽47.72/M | ₽332/M | ₽2 614 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽91.30/M | ₽183/M | ₽2 739 |
| doubao seedance 1 0 lite i2v 250428 | doubao seedance 1 0 lite i2v 250428 | ₽114/M | ₽114/M | ₽2 842 |
| doubao seedance 1 0 lite t2v 250428 | doubao seedance 1 0 lite t2v 250428 | ₽114/M | ₽114/M | ₽2 842 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽114/M | ₽114/M | ₽2 842 |
| doubao seededit 3 0 i2i 250628 | doubao seededit 3 0 i2i 250628 | ₽114/M | ₽114/M | ₽2 842 |
| doubao seedream 3 0 t2i 250415 | doubao seedream 3 0 t2i 250415 | ₽114/M | ₽114/M | ₽2 842 |
| gpt 5.4 | openai | ₽58.10/M | ₽349/M | ₽2 905 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽58.10/M | ₽349/M | ₽2 905 |
| GLM-5 | glm 5 | ₽83.00/M | ₽266/M | ₽2 988 |
| Text Curie 001 | text curie 001 | ₽124/M | ₽124/M | ₽3 112 |
| Moonshot V1 32K | moonshot v1 32k | ₽91.30/M | ₽274/M | ₽3 195 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽91.30/M | ₽274/M | ₽3 195 |
| qwen3 8b | qwen | ₽45.65/M | ₽456/M | ₽3 195 |
| gpt audio | openai | ₽116/M | ₽232/M | ₽3 486 |
| gpt audio mini | openai | ₽116/M | ₽232/M | ₽3 486 |
| whisper 1 | openai | ₽139/M | ₽139/M | ₽3 486 |
| gemini 2.5 flash image | ₽6.97/M | ₽697/M | ₽3 625 | |
| gpt image 1.5 | openai | ₽74.37/M | ₽476/M | ₽3 867 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽99.60/M | ₽415/M | ₽4 067 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽116/M | ₽465/M | ₽4 648 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽116/M | ₽465/M | ₽4 648 |
| Gemini 2.5 Computer Use Preview 10-2025 | gemini 2.5 computer use preview 10 2025 | ₽77.81/M | ₽622/M | ₽4 669 |
| Qwen-VL Max | alibaba | ₽146/M | ₽365/M | ₽4 747 |
| qwen3 30b a3b | qwen | ₽68.47/M | ₽685/M | ₽4 793 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽124/M | ₽622/M | ₽5 602 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽124/M | ₽622/M | ₽5 602 |
| claude sonnet 5 | anthropic | ₽124/M | ₽622/M | ₽5 602 |
| grok 2 | grok 2 | ₽124/M | ₽622/M | ₽5 602 |
| grok 2 vision | grok 2 vision | ₽124/M | ₽622/M | ₽5 602 |
| gpt image 2 l | gpt image 2 l | ₽116/M | ₽697/M | ₽5 810 |
| qwen3 235b a22b | qwen | ₽83.00/M | ₽830/M | ₽5 810 |
| Moonshot V1 128K | moonshot v1 128k | ₽183/M | ₽456/M | ₽5 934 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽183/M | ₽456/M | ₽5 934 |
| gemini 3.1 pro preview customtools | ₽124/M | ₽747/M | ₽6 225 | |
| GPT 4o Transcribe Diarize | gpt 4o transcribe diarize | ₽156/M | ₽622/M | ₽6 225 |
| qwen 2.5 coder 32b instruct | qwen | ₽183/M | ₽548/M | ₽6 391 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽183/M | ₽548/M | ₽6 391 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽183/M | ₽548/M | ₽6 391 |
| qwen3 14b | qwen | ₽91.30/M | ₽913/M | ₽6 391 |
| gpt 5.1 none | gpt 5.1 none | ₽108/M | ₽863/M | ₽6 474 |
| Phi 4 mini instruct | Phi 4 mini instruct | ₽166/M | ₽664/M | ₽6 640 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽232/M | ₽465/M | ₽6 972 |
| gpt 4 vision | gpt 4 vision | ₽232/M | ₽465/M | ₽6 972 |
| gpt image 1 | openai | ₽232/M | ₽465/M | ₽6 972 |
| grok 3 deepsearch | grok 3 deepsearch | ₽166/M | ₽747/M | ₽7 055 |
| gemini 3.1 flash image | ₽11.62/M | ₽1 394/M | ₽7 204 | |
| gpt realtime | gpt realtime | ₽249/M | ₽498/M | ₽7 470 |
| Grok 4 | grok 4 | ₽168/M | ₽840/M | ₽7 563 |
| gpt 4 turbo | openai | ₽232/M | ₽697/M | ₽8 134 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽187/M | ₽934/M | ₽8 404 |
| Claude Sonnet 4 | claude sonnet 4 | ₽187/M | ₽934/M | ₽8 404 |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽187/M | ₽934/M | ₽8 404 |
| tts 1 | openai | ₽349/M | ₽349/M | ₽8 715 |
| Tts 1 1106 | tts 1 1106 | ₽349/M | ₽349/M | ₽8 715 |
| o3 deep research | openai | ₽232/M | ₽930/M | ₽9 296 |
| Claude Opus 4.5 | claude opus 4 5 | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.7 | claude opus 4 7 | ₽207/M | ₽1 037/M | ₽9 337 |
| claude opus 4.8 | anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Computer Use Preview | computer use preview | ₽249/M | ₽996/M | ₽9 960 |
| GPT 5.4 High | gpt 5.4 high | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT 5.4 Low | gpt 5.4 low | ₽207/M | ₽1 245/M | ₽10 375 |
| gpt 5.4 medium | gpt 5.4 medium | ₽207/M | ₽1 245/M | ₽10 375 |
| gpt 5.4 none | gpt 5.4 none | ₽207/M | ₽1 245/M | ₽10 375 |
| gpt 5.4 pro | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| qwen 2.5 72b instruct | qwen | ₽365/M | ₽1 096/M | ₽12 782 |
| qwen3 32b | qwen | ₽183/M | ₽1 826/M | ₽12 782 |
| o1 high | o1 high | ₽349/M | ₽1 394/M | ₽13 944 |
| o1 low | o1 low | ₽349/M | ₽1 394/M | ₽13 944 |
| o1 medium | o1 medium | ₽349/M | ₽1 394/M | ₽13 944 |
| gemini 3 pro image preview flatfee | gemini 3 pro image preview flatfee | ₽46.48/M | ₽2 789/M | ₽14 873 |
| grok beta | grok beta | ₽456/M | ₽1 369/M | ₽15 977 |
| Grok Vision Beta | grok vision beta | ₽456/M | ₽1 369/M | ₽15 977 |
| Qwen3-VL Plus | alibaba | ₽249/M | ₽2 490/M | ₽17 430 |
| tts 1 hd | openai | ₽697/M | ₽697/M | ₽17 430 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽697/M | ₽697/M | ₽17 430 |
| claude fable 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| gpt 5 pro | openai | ₽349/M | ₽2 789/M | ₽20 915 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽1 245/M | ₽1 245/M | ₽31 124 |
| GPT 4 32K | gpt 4 32k | ₽1 394/M | ₽2 789/M | ₽41 831 |
| Claude Opus 4 | claude opus 4 | ₽934/M | ₽4 669/M | ₽42 018 |
| Veo 3 Text to Video | ₽1 743/M | ₽1 743/M | ₽43 574 | |
| Veo 3.1 Text to Video | veo3.1 | ₽1 743/M | ₽1 743/M | ₽43 574 |
| veo3 pro | veo3 pro | ₽1 743/M | ₽1 743/M | ₽43 574 |
| veo3.1 components | veo3.1 components | ₽1 743/M | ₽1 743/M | ₽43 574 |
| veo3.1 pro | veo3.1 pro | ₽1 743/M | ₽1 743/M | ₽43 574 |
| gpt 35 turbo | gpt 35 turbo | ₽1 743/M | ₽3 486/M | ₽52 289 |
| gpt 4.5 preview | gpt 4.5 preview | ₽1 743/M | ₽3 486/M | ₽52 289 |
| qwen3 coder plus | qwen | ₽830/M | ₽8 300/M | ₽58 098 |
| gemini 3.1 flash lite | ₽1 743/M | ₽6 972/M | ₽69 718 | |
| gpt 5.2 pro | openai | ₽1 176/M | ₽9 412/M | ₽70 590 |
| MiniMax M2.1 highspeed | MiniMax M2.1 highspeed | ₽3 112/M | ₽3 112/M | ₽77 810 |
| Qwen2 72B Instruct | Qwen | ₽3 112/M | ₽3 112/M | ₽77 810 |
| qwen3.6 plus | qwen | ₽3 112/M | ₽3 112/M | ₽77 810 |
| gpt 5.5 | openai | ₽1 743/M | ₽10 458/M | ₽87 148 |
| gpt 5.1 codex high | gpt 5.1 codex high | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.1 codex medium | gpt 5.1 codex medium | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.1 minimal | gpt 5.1 minimal | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.6 luna | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.6 sol | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.6 terra | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| Claude Opus 4.6 | claude opus 4 6 | ₽3 112/M | ₽15 562/M | ₽140 059 |
| gpt image 1.5 1 | gpt image 1.5 1 | ₽4 669/M | ₽9 337/M | ₽140 059 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽6 225/M | ₽6 225/M | ₽155 621 |
| minimax m2.7 | minimax | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen Image Edit Max | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen Image Max | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3.5 122b a10b | qwen | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3.5 27b | qwen | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3.5 35b a3b | qwen | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen3.5 Flash | alibaba | ₽6 225/M | ₽6 225/M | ₽155 621 |
| gpt 4o 64k output alpha | gpt 4o 64k output alpha | ₽4 669/M | ₽18 674/M | ₽186 745 |
Изображения
за изображение · 12
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Изображения
за изображение · 12
| Модель | Maker | Цена |
|---|---|---|
| gpt 4o image | gpt 4o image | ₽0.81/изобр. |
| flux kontext pro | flux kontext pro | ₽0.93/изобр. |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽1.24/изобр. |
| doubao seedream 5 0 260128 | doubao seedream 5 0 260128 | ₽1.34/изобр. |
| gpt 4 | openai | ₽1.39/изобр. |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽1.49/изобр. |
| Flux Kontext Max | flux kontext max | ₽1.86/изобр. |
| wan2.6 image | wan2.6 image | ₽2.61/изобр. |
| doubao seedream 5 0 pro 260628 | doubao seedream 5 0 pro 260628 | ₽5.60/изобр. |
| gpt image 2 | gpt image 2 | ₽6.97/изобр. |
| Qwen Image | alibaba | ₽15.56/изобр. |
| Qwen Image Edit | alibaba | ₽18.67/изобр. |
За запрос
фиксированная цена за вызов · 25
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За запрос
фиксированная цена за вызов · 25
| Модель | Maker | Цена |
|---|---|---|
| GPT-4o | gpt 4o | ₽0.81/вызов |
| O3 Mini | o3 mini | ₽0.81/вызов |
| O4 Mini | o4 mini | ₽0.81/вызов |
| gemini 2.5 pro flatfee | gemini 2.5 pro flatfee | ₽1.04/вызов |
| gpt 4 gizmo * | gpt 4 gizmo * | ₽1.74/вызов |
| O1 Mini | o1 mini | ₽2.32/вызов |
| o3 mini high | openai | ₽2.32/вызов |
| o4 mini high | openai | ₽2.32/вызов |
| grok 3 nx | grok 3 nx | ₽2.49/вызов |
| Wan2.6 T2i | wan2.6 t2i | ₽2.61/вызов |
| gpt 5 flatfee | gpt 5 flatfee | ₽4.15/вызов |
| gpt 5.1 flatfee | gpt 5.1 flatfee | ₽4.15/вызов |
| Wan 2.6 Image to Video Flash | alibaba | ₽5.98/вызов |
| O1 | o1 | ₽9.30/вызов |
| O3 | o3 | ₽9.30/вызов |
| Sora 2 | Sora 2 | ₽9.96/вызов |
| Wan2.6 I2v | wan2.6 i2v | ₽11.62/вызов |
| Wan 2.6 Reference-to-Video | alibaba | ₽13.05/вызов |
| wan2.6 r2v flash | wan2.6 r2v flash | ₽13.05/вызов |
| Wan2.6 T2v | wan2.6 t2v | ₽13.05/вызов |
| o1 pro | openai | ₽18.59/вызов |
| Sora 2 Pro | sora 2 pro | ₽29.05/вызов |
| Grok 3 | grok 3 | ₽29.88/вызов |
| grok 3 reasoning | grok 3 reasoning | ₽29.88/вызов |
| o3 pro | openai | ₽49.80/вызов |
Без публичной цены
нет данных в открытых источниках · 4
▼
Без публичной цены
нет данных в открытых источниках · 4
| Модель | Maker | Примечание |
|---|---|---|
| glm 4.5 flash | glm 4.5 flash | — |
| llama 4 maverick 17b 128e instruct | llama 4 maverick 17b 128e instruct | — |
| Text Moderation | text moderation latest | — |
| Text Moderation Stable | text moderation stable | — |
Как мы считаем цены
Провайдер на движке OneAPI/New API: в каталоге цены задаются коэффициентами model_ratio и completion_ratio, а не прямой строкой «$X за 1M токенов». Мы пересчитываем ratio в USD по формуле OneAPI: input ≈ model_ratio × $2 × group_ratio за 1M токенов, output умножается на completion_ratio. Часть моделей billed за вызов (изображение, видео, search) — фикс USD за запрос. Итог зависит от group_ratio — группы маршрута/upstream у API-ключа.
О провайдере
О сервисе
BurnCloud совмещает аренду GPU для training/rendering и consumer AI API. OneAPI ratio означает, что $/1M зависит от group_ratio ключа. Сравнивайте пересчитанные цены с LaoZhang, o3.fan и DMX API — одинаковое имя модели ≠ одинаковая цена.
Как сравнивать на AI-APISHKA
На AI-APISHKA сравнивайте пересчитанную ₽/1M или $/1M для той же модели у разных агрегаторов. У OneAPI-сервисов ratio свой — одинаковое имя модели не гарантирует одинаковую цену у LaoZhang, o3.fan, NeuroAPI и других. Особенно актуально сравнение с LaoZhang и oCoolAI.
Частые вопросы
- BurnCloud — только API или ещё GPU?
- Оба: Cloud GPU Services для training/rendering и AI API Services для inference через API.
- Что такое group_ratio у BurnCloud?
- Коэффициент маршрута/upstream в OneAPI. Разные группы API-ключа дают разную итоговую цену за ту же модель.
- Почему BurnCloud и LaoZhang разнятся в цене?
- Оба OneAPI, но свои model_ratio и group_ratio. Сравнивайте пересчитанные $/1M на странице модели.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
BurnCloud предлагает 332 моделей AI API. Средняя цена — ₽658/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.46/M (text embedding 3 small).
Сравните цены на gpt 4o image , GPT-4o , O3 Mini , O4 Mini и flux kontext pro у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.