Широкий каталог с отдельной почти бесплатной группой
- Моделей
- 424
- Средняя цена
- ₽3 627/M
- Регион
- Зарубежный · сайт на китайский
- Оплата
- Alipay, WeChat
- Биллинг
- за токены
- API
- OpenAI-compatible
Группа free даёт коэффициент около 0.001: цена в каталоге для таких моделей — нижняя граница, не то, что спишет обычный ключ · Это сторонний посредник, не связан с ZenMux
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
422 моделей
Текст и чат
оплата за токены · 362
▼
Текст и чат
оплата за токены · 362
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽0.0017/M | ₽0.0017/M | ₽0 |
| Text Embedding ADA | text embedding ada | ₽0.0084/M | ₽0.0084/M | ₽0 |
| GPT-5 Nano | gpt 5 nano | ₽0.0042/M | ₽0.03/M | ₽0 |
| text embedding 3 large | openai | ₽0.01/M | ₽0.01/M | ₽0 |
| gpt 4.1 nano | openai | ₽0.0084/M | ₽0.03/M | ₽0 |
| GPT-4o Mini | gpt 4o mini | ₽0.01/M | ₽0.05/M | ₽1 |
| gpt 4.1 mini | openai | ₽0.03/M | ₽0.13/M | ₽1 |
| gpt 3.5 turbo | openai | ₽0.04/M | ₽0.13/M | ₽1 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽0.08/M | ₽0.17/M | ₽3 |
| O1 Mini | o1 mini | ₽0.09/M | ₽0.37/M | ₽4 |
| O3 Mini | o3 mini | ₽0.09/M | ₽0.37/M | ₽4 |
| O4 Mini | o4 mini | ₽0.09/M | ₽0.37/M | ₽4 |
| GPT-4o Mini Transcribe | openai | ₽0.13/M | ₽0.50/M | ₽5 |
| gpt 5 chat | openai | ₽0.10/M | ₽0.84/M | ₽6 |
| gpt 5 codex | openai | ₽0.10/M | ₽0.84/M | ₽6 |
| GPT-5 | gpt 5 | ₽0.10/M | ₽0.84/M | ₽6 |
| gpt 4.1 | openai | ₽0.17/M | ₽0.67/M | ₽7 |
| O3 | o3 | ₽0.17/M | ₽0.67/M | ₽7 |
| Qwen Text Embedding v3 | alibaba | ₽0.59/M | ₽0.59/M | ₽15 |
| gpt 4o mini tts | openai | ₽1.01/M | ₽1.01/M | ₽25 |
| gpt 4 turbo | openai | ₽0.84/M | ₽2.51/M | ₽29 |
| tts 1 | openai | ₽1.26/M | ₽1.26/M | ₽31 |
| Bge M3 | baai | ₽2.01/M | ₽2.01/M | ₽50 |
| tts 1 hd | openai | ₽2.51/M | ₽2.51/M | ₽63 |
| whisper 1 | openai | ₽2.51/M | ₽2.51/M | ₽63 |
| glm 4.5 flash | glm 4.5 flash | ₽1.68/M | ₽6.70/M | ₽67 |
| gemini 1.5 flash 8b | gemini 1.5 flash 8b | ₽3.14/M | ₽12.57/M | ₽126 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽9.39/M | ₽9.39/M | ₽235 |
| Qwen Max Longcontext | qwen max longcontext | ₽5.95/M | ₽23.80/M | ₽238 |
| gpt 5.6 luna | openai | ₽5.03/M | ₽30.17/M | ₽251 |
| Gemini 1.5 Flash | gemini 1.5 flash | ₽6.29/M | ₽25.14/M | ₽251 |
| Gemini 2.0 Flash Lite | ₽6.29/M | ₽25.14/M | ₽251 | |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.57/M | ₽12.57/M | ₽314 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽8.38/M | ₽33.52/M | ₽335 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.38/M | ₽33.52/M | ₽335 |
| gemini flash lite:free | gemini flash lite latest nothinking | ₽8.38/M | ₽33.52/M | ₽335 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽12.57/M | ₽50.28/M | ₽503 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽12.57/M | ₽50.28/M | ₽503 |
| gpt oss 120b | openai | ₽12.57/M | ₽50.28/M | ₽503 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽16.76/M | ₽41.90/M | ₽545 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽16.76/M | ₽41.90/M | ₽545 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽16.76/M | ₽41.90/M | ₽545 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽16.76/M | ₽41.90/M | ₽545 |
| gpt oss 20b | openai | ₽14.67/M | ₽52.80/M | ₽557 |
| deepseek ocr | deepseek ocr | ₽13.41/M | ₽60.34/M | ₽570 |
| Gemini Embedding 2 | gemini embedding 2 | ₽16.76/M | ₽67.04/M | ₽670 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽16.76/M | ₽67.04/M | ₽670 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽25.14/M | ₽50.28/M | ₽754 |
| Qwen Turbo | qwen turbo | ₽25.14/M | ₽50.28/M | ₽754 |
| gpt 5.4 nano | openai | ₽16.76/M | ₽105/M | ₽859 |
| Doubao Seed 1.6 Flash | bytedance | ₽12.57/M | ₽126/M | ₽880 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽12.57/M | ₽126/M | ₽880 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽25.14/M | ₽75.43/M | ₽880 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽23.47/M | ₽93.86/M | ₽939 |
| gpt 5.4 mini | openai | ₽18.86/M | ₽113/M | ₽943 |
| Grok Code Fast 1 | grok code fast 1 | ₽16.76/M | ₽126/M | ₽964 |
| DeepSeek R1 Distill Qwen 1.5B | DeepSeek R1 Distill Qwen 1.5B | ₽25.14/M | ₽101/M | ₽1 006 |
| deepseek v4 flash | deepseek | ₽33.52/M | ₽67.04/M | ₽1 006 |
| gemini 3.1 flash lite | ₽20.95/M | ₽126/M | ₽1 048 | |
| qwen3 8b | qwen | ₽16.76/M | ₽168/M | ₽1 173 |
| gpt 5.1 codex mini | openai | ₽20.95/M | ₽168/M | ₽1 257 |
| GPT-5 Mini | gpt 5 mini | ₽20.95/M | ₽168/M | ₽1 257 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽41.90/M | ₽83.81/M | ₽1 257 |
| qwen2.5 7b instruct 1m | qwen2.5 7b instruct 1m | ₽41.90/M | ₽83.81/M | ₽1 257 |
| hunyuan a13b | hunyuan a13b | ₽33.52/M | ₽134/M | ₽1 341 |
| qwen3.5 plus | qwen3.5 plus | ₽26.82/M | ₽161/M | ₽1 341 |
| Grok 3 Mini | grok 3 mini | ₽50.28/M | ₽83.77/M | ₽1 425 |
| Text Moderation | text moderation latest | ₽58.66/M | ₽58.66/M | ₽1 467 |
| Text Moderation Stable | text moderation stable | ₽58.66/M | ₽58.66/M | ₽1 467 |
| Gemini Flash Latest | gemini flash latest | ₽25.14/M | ₽210/M | ₽1 551 |
| Qwen Long | qwen long | ₽41.90/M | ₽168/M | ₽1 676 |
| Qwen3 0.6b | qwen3 0.6b | ₽25.14/M | ₽251/M | ₽1 760 |
| Qwen3 1.7b | qwen3 1.7b | ₽25.14/M | ₽251/M | ₽1 760 |
| Qwen3 4B | qwen3 4b | ₽25.14/M | ₽251/M | ₽1 760 |
| deepseek v3.2 | deepseek | ₽67.04/M | ₽101/M | ₽1 844 |
| Qwen-MT Turbo | alibaba | ₽58.66/M | ₽163/M | ₽1 990 |
| deepseek r1 distill qwen 7b | deepseek r1 distill qwen 7b | ₽50.28/M | ₽201/M | ₽2 011 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽50.28/M | ₽201/M | ₽2 011 |
| gpt realtime mini | gpt realtime mini | ₽50.28/M | ₽201/M | ₽2 011 |
| Gemini 3 Flash | gemini 3 flash | ₽41.90/M | ₽251/M | ₽2 095 |
| gemini 3.1 flash preview | gemini 3.1 flash preview | ₽41.90/M | ₽251/M | ₽2 095 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽67.04/M | ₽168/M | ₽2 179 |
| doubao pro 32k 241215 | doubao pro 32k 241215 | ₽67.04/M | ₽168/M | ₽2 179 |
| doubao pro 32k character 241215 | doubao pro 32k character 241215 | ₽67.04/M | ₽168/M | ₽2 179 |
| Qwen Plus | qwen plus | ₽67.04/M | ₽168/M | ₽2 179 |
| qwen3 30b a3b instruct 2507 | qwen | ₽58.66/M | ₽235/M | ₽2 347 |
| gpt 5.6 terra | openai | ₽50.28/M | ₽302/M | ₽2 514 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽83.81/M | ₽168/M | ₽2 514 |
| Qwen2 7B Instruct | Qwen | ₽83.81/M | ₽168/M | ₽2 514 |
| Qwen2.5 Coder 7B | Qwen | ₽83.81/M | ₽168/M | ₽2 514 |
| DeepSeek V3 | deepseek search | ₽67.04/M | ₽268/M | ₽2 682 |
| minimax m2 | minimax | ₽67.04/M | ₽268/M | ₽2 682 |
| Qwen3 235B A22B Instruct | alibaba | ₽67.04/M | ₽268/M | ₽2 682 |
| qwen3 32b | qwen | ₽67.04/M | ₽268/M | ₽2 682 |
| minimax m2.5 | minimax | ₽70.40/M | ₽282/M | ₽2 816 |
| babbage 002 | babbage 002 | ₽117/M | ₽117/M | ₽2 933 |
| deepseek r1 distill qwen 14b | deepseek r1 distill qwen 14b | ₽83.81/M | ₽251/M | ₽2 933 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽83.81/M | ₽251/M | ₽2 933 |
| qwen2.5 14b instruct 1m | qwen2.5 14b instruct 1m | ₽83.81/M | ₽251/M | ₽2 933 |
| Text Ada 001 | text ada 001 | ₽117/M | ₽117/M | ₽2 933 |
| gpt 5.4 | openai | ₽62.85/M | ₽377/M | ₽3 143 |
| GPT 5.4 High | gpt 5.4 high | ₽62.85/M | ₽377/M | ₽3 143 |
| GPT 5.4 Low | gpt 5.4 low | ₽62.85/M | ₽377/M | ₽3 143 |
| gpt 5.4 medium | gpt 5.4 medium | ₽62.85/M | ₽377/M | ₽3 143 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽62.85/M | ₽377/M | ₽3 143 |
| grok 4.3 | x ai | ₽105/M | ₽210/M | ₽3 143 |
| glm 4.5 | z ai | ₽83.81/M | ₽335/M | ₽3 352 |
| Text Babbage 001 | text babbage 001 | ₽147/M | ₽147/M | ₽3 667 |
| o3 mini low | o3 mini low | ₽92.19/M | ₽369/M | ₽3 687 |
| o3 mini medium | o3 mini medium | ₽92.19/M | ₽369/M | ₽3 687 |
| deepseek v3 0324 az | deepseek v3 0324 az | ₽95.54/M | ₽382/M | ₽3 822 |
| glm 4.5 air | z ai | ₽101/M | ₽402/M | ₽4 023 |
| Gemini 1.5 Pro | gemini 1.5 pro | ₽105/M | ₽419/M | ₽4 190 |
| gemini 3 flash preview ghacks | gemini 3 flash preview ghacks | ₽83.81/M | ₽503/M | ₽4 190 |
| grok 3 mini beta high | grok 3 mini beta high | ₽151/M | ₽251/M | ₽4 274 |
| grok 3 mini beta low | grok 3 mini beta low | ₽151/M | ₽251/M | ₽4 274 |
| grok 3 mini beta medium | grok 3 mini beta medium | ₽151/M | ₽251/M | ₽4 274 |
| qwq plus | qwq plus | ₽134/M | ₽335/M | ₽4 358 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽126/M | ₽377/M | ₽4 400 |
| Qwen-VL Plus | alibaba | ₽126/M | ₽377/M | ₽4 400 |
| mai ds r1 | mai ds r1 | ₽110/M | ₽440/M | ₽4 405 |
| deepseek v3.2 speciale | deepseek v3.2 speciale | ₽168/M | ₽251/M | ₽4 609 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽67.04/M | ₽670/M | ₽4 693 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽67.04/M | ₽670/M | ₽4 693 |
| Codex Mini | codex mini | ₽126/M | ₽503/M | ₽5 028 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽41.90/M | ₽838/M | ₽5 028 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽168/M | ₽335/M | ₽5 028 |
| Qwen-MT Plus | alibaba | ₽151/M | ₽453/M | ₽5 280 |
| DeepSeek R1 | deepseek r1 | ₽134/M | ₽536/M | ₽5 364 |
| deepseek v3.1 terminus | deepseek | ₽134/M | ₽536/M | ₽5 364 |
| Kimi K2 | kimi k2 | ₽134/M | ₽536/M | ₽5 364 |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽168/M | ₽503/M | ₽5 866 |
| qwen 2.5 coder 32b instruct | qwen | ₽168/M | ₽503/M | ₽5 866 |
| qwen coder turbo | qwen coder turbo | ₽168/M | ₽503/M | ₽5 866 |
| qwen math turbo | qwen math turbo | ₽168/M | ₽503/M | ₽5 866 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽168/M | ₽503/M | ₽5 866 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽168/M | ₽503/M | ₽5 866 |
| qwen3 14b | qwen | ₽83.81/M | ₽838/M | ₽5 866 |
| Qwen3-VL Plus | alibaba | ₽83.81/M | ₽838/M | ₽5 866 |
| Kimi K2.5 | kimi k2.5 | ₽134/M | ₽704/M | ₽6 202 |
| Gemini 2.5 Computer Use Preview 10-2025 | gemini 2.5 computer use preview 10 2025 | ₽105/M | ₽838/M | ₽6 285 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 285 |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 285 | |
| Gemini Pro | gemini pro | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5 single | gpt 5 single | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 chat | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 codex | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 codex max | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.5 | openai | ₽126/M | ₽754/M | ₽6 285 |
| gpt 5.6 sol | openai | ₽126/M | ₽754/M | ₽6 285 |
| gpt audio | openai | ₽210/M | ₽419/M | ₽6 285 |
| gpt image 2 | gpt image 2 | ₽126/M | ₽754/M | ₽6 285 |
| qwen1.5 0.5b chat | qwen1.5 0.5b chat | ₽239/M | ₽342/M | ₽6 499 |
| qwen1.5 1.8b chat | qwen1.5 1.8b chat | ₽239/M | ₽342/M | ₽6 499 |
| qwen2 0.5b instruct | qwen2 0.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| Qwen2 1.5b Instruct | Qwen | ₽239/M | ₽342/M | ₽6 499 |
| qwen2.5 0.5b instruct | qwen2.5 0.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| qwen2.5 1.5b instruct | qwen2.5 1.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| qwen2.5 coder 0.5b instruct | qwen2.5 coder 0.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| qwen2.5 coder 3b instruct | qwen2.5 coder 3b instruct | ₽239/M | ₽342/M | ₽6 499 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽239/M | ₽342/M | ₽6 499 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽239/M | ₽342/M | ₽6 499 |
| DeepSeek Chat (V3) | deepseek chat | ₽168/M | ₽670/M | ₽6 704 |
| deepseek v3 250324 | deepseek v3 250324 | ₽168/M | ₽670/M | ₽6 704 |
| deepseek v3 searching | deepseek v3 searching | ₽168/M | ₽670/M | ₽6 704 |
| gpt 3.5 turbo 16k | openai | ₽251/M | ₽335/M | ₽6 704 |
| gpt image 1 mini | openai | ₽168/M | ₽670/M | ₽6 704 |
| qwen3 235b a22b | qwen | ₽168/M | ₽670/M | ₽6 704 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽168/M | ₽670/M | ₽6 704 |
| minimax m2.1 | minimax | ₽176/M | ₽704/M | ₽7 040 |
| gpt image 1 | openai | ₽126/M | ₽1 006/M | ₽7 543 |
| Moonshot V1 8K | moonshot v1 8k | ₽168/M | ₽838/M | ₽7 543 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽168/M | ₽838/M | ₽7 543 |
| GLM-5 | glm 5 | ₽201/M | ₽738/M | ₽7 713 |
| glm 5.1 | z ai | ₽201/M | ₽805/M | ₽8 045 |
| Qwen Max | qwen max | ₽201/M | ₽805/M | ₽8 045 |
| Gemini 3 Pro | gemini 3 pro | ₽168/M | ₽1 006/M | ₽8 381 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽168/M | ₽1 006/M | ₽8 381 |
| gemini 3.1 pro preview customtools | ₽168/M | ₽1 006/M | ₽8 381 | |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽210/M | ₽838/M | ₽8 381 |
| GPT 4o Transcribe Diarize | gpt 4o transcribe diarize | ₽210/M | ₽838/M | ₽8 381 |
| gpt audio 1.5 | openai | ₽210/M | ₽838/M | ₽8 381 |
| GPT-4o Transcribe | openai | ₽210/M | ₽838/M | ₽8 381 |
| Qwen3 Max | qwen3 max | ₽210/M | ₽838/M | ₽8 381 |
| gpt 5.2 | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.2 chat | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.2 codex | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.3 chat | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.3 codex | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| qwen3 30b a3b | qwen | ₽126/M | ₽1 257/M | ₽8 800 |
| doubao 1 5 vision pro 32k 250115 | doubao 1 5 vision pro 32k 250115 | ₽251/M | ₽754/M | ₽8 800 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽251/M | ₽754/M | ₽8 800 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽251/M | ₽754/M | ₽8 800 |
| qwen coder plus | qwen coder plus | ₽293/M | ₽587/M | ₽8 800 |
| qwen coder plus 1106 | qwen coder plus 1106 | ₽293/M | ₽587/M | ₽8 800 |
| Qwen-VL Max | alibaba | ₽251/M | ₽754/M | ₽8 800 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽293/M | ₽587/M | ₽8 800 |
| Qwen2 57B A14B Instruct | Qwen | ₽293/M | ₽587/M | ₽8 800 |
| kimi k2.6 | moonshotai | ₽218/M | ₽905/M | ₽8 884 |
| glm 4.6 | z ai | ₽235/M | ₽939/M | ₽9 386 |
| Computer Use Preview | computer use preview | ₽251/M | ₽1 006/M | ₽10 057 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽83.81/M | ₽1 676/M | ₽10 057 |
| Gemini 3.1 Flash TTS | ₽83.81/M | ₽1 676/M | ₽10 057 | |
| GPT Realtime 2.1 Mini | gpt realtime 2.1 mini | ₽251/M | ₽1 006/M | ₽10 057 |
| grok beta | grok beta | ₽419/M | ₽419/M | ₽10 476 |
| Qwen-VL OCR | alibaba | ₽419/M | ₽419/M | ₽10 476 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽251/M | ₽1 257/M | ₽11 314 |
| Grok 3 | grok 3 | ₽251/M | ₽1 257/M | ₽11 314 |
| Grok 4 | grok 4 | ₽251/M | ₽1 257/M | ₽11 314 |
| deepseek v3.1 | deepseek v3.1 | ₽335/M | ₽1 006/M | ₽11 733 |
| qwen math plus | qwen math plus | ₽335/M | ₽1 006/M | ₽11 733 |
| deepseek v4 pro | deepseek | ₽402/M | ₽805/M | ₽12 068 |
| qwen 2.5 72b instruct | qwen | ₽346/M | ₽1 038/M | ₽12 114 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽419/M | ₽754/M | ₽12 152 |
| grok 2 vision | grok 2 vision | ₽503/M | ₽503/M | ₽12 571 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽419/M | ₽838/M | ₽12 571 |
| o4 mini high | openai | ₽323/M | ₽1 291/M | ₽12 906 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽293/M | ₽1 467/M | ₽13 199 |
| deepseek r1 250120 | deepseek r1 250120 | ₽335/M | ₽1 341/M | ₽13 409 |
| deepseek r1 250528 | deepseek r1 250528 | ₽335/M | ₽1 341/M | ₽13 409 |
| deepseek r1 searching | deepseek r1 searching | ₽335/M | ₽1 341/M | ₽13 409 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽335/M | ₽1 341/M | ₽13 409 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽335/M | ₽1 341/M | ₽13 409 |
| doubao 1 5 thinking pro m 250415 | doubao 1 5 thinking pro m 250415 | ₽335/M | ₽1 341/M | ₽13 409 |
| doubao 1 5 thinking pro m 250428 | doubao 1 5 thinking pro m 250428 | ₽335/M | ₽1 341/M | ₽13 409 |
| gpt image 1.5 | openai | ₽335/M | ₽1 341/M | ₽13 409 |
| gpt realtime | gpt realtime | ₽335/M | ₽1 341/M | ₽13 409 |
| gpt realtime 1.5 | gpt realtime 1.5 | ₽335/M | ₽1 341/M | ₽13 409 |
| qwen3 coder plus | qwen | ₽335/M | ₽1 341/M | ₽13 409 |
| Davinci | davinci | ₽587/M | ₽587/M | ₽14 666 |
| Test | test | ₽587/M | ₽587/M | ₽14 666 |
| Text Curie 001 | text curie 001 | ₽587/M | ₽587/M | ₽14 666 |
| grok 3 mini fast beta high | grok 3 mini fast beta high | ₽302/M | ₽2 011/M | ₽16 090 |
| grok 3 mini fast beta low | grok 3 mini fast beta low | ₽302/M | ₽2 011/M | ₽16 090 |
| grok 3 mini fast beta medium | grok 3 mini fast beta medium | ₽302/M | ₽2 011/M | ₽16 090 |
| qwen3 coder 480b | qwen3 coder 480b | ₽536/M | ₽1 073/M | ₽16 091 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽419/M | ₽1 676/M | ₽16 761 |
| gpt realtime 2 | gpt realtime 2 | ₽335/M | ₽2 011/M | ₽16 761 |
| Moonshot V1 32K | moonshot v1 32k | ₽419/M | ₽1 676/M | ₽16 761 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽419/M | ₽1 676/M | ₽16 761 |
| Qwen1.5 110B Chat | Qwen | ₽587/M | ₽1 173/M | ₽17 599 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽503/M | ₽2 011/M | ₽20 113 |
| gpt 5.5 instant | gpt 5.5 instant | ₽419/M | ₽2 514/M | ₽20 951 |
| GPT Chat | gpt chat latest | ₽419/M | ₽2 514/M | ₽20 951 |
| Grok 2 1212 | grok 2 1212 | ₽503/M | ₽2 514/M | ₽22 628 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽503/M | ₽2 514/M | ₽22 628 |
| o4 mini deep research | openai | ₽587/M | ₽2 347/M | ₽23 466 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽670/M | ₽2 011/M | ₽23 466 |
| gpt 4 | openai | ₽838/M | ₽1 676/M | ₽25 142 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽838/M | ₽1 676/M | ₽25 142 |
| gpt 4 vision | gpt 4 vision | ₽838/M | ₽1 676/M | ₽25 142 |
| gemini 3.1 flash lite image | ₽41.90/M | ₽5 028/M | ₽25 980 | |
| gemini 3.1 image preview | gemini 3.1 image preview | ₽41.90/M | ₽5 028/M | ₽25 980 |
| GLM 4.5 Airx | glm 4.5 airx | ₽670/M | ₽2 682/M | ₽26 818 |
| kimi latest | kimi latest | ₽838/M | ₽2 514/M | ₽29 332 |
| Moonshot V1 128K | moonshot v1 128k | ₽838/M | ₽2 514/M | ₽29 332 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽838/M | ₽2 514/M | ₽29 332 |
| Grok Vision Beta | grok vision beta | ₽1 257/M | ₽1 257/M | ₽31 427 |
| Tts 1 1106 | tts 1 1106 | ₽1 257/M | ₽1 257/M | ₽31 427 |
| o3 deep research | openai | ₽838/M | ₽3 352/M | ₽33 522 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽880/M | ₽4 400/M | ₽39 598 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽880/M | ₽4 400/M | ₽39 598 |
| gpt 5.5 high | gpt 5.5 high | ₽1 886/M | ₽1 886/M | ₽47 141 |
| gpt 5.5 low | gpt 5.5 low | ₽1 886/M | ₽1 886/M | ₽47 141 |
| gpt 5.5 medium | gpt 5.5 medium | ₽1 886/M | ₽1 886/M | ₽47 141 |
| gpt 5.5 xhigh | gpt 5.5 xhigh | ₽1 886/M | ₽1 886/M | ₽47 141 |
| gemini 3.1 flash image | ₽83.81/M | ₽10 057/M | ₽51 960 | |
| gemini 3 pro image | ₽168/M | ₽10 057/M | ₽53 636 | |
| GLM 4.5 X | glm 4.5 x | ₽1 341/M | ₽5 364/M | ₽53 636 |
| Pro · deepseek-ai · DeepSeek-V3 | Pro | ₽1 341/M | ₽5 364/M | ₽53 636 |
| Bge Reranker V2 M3 | BAAI | ₽2 514/M | ₽2 514/M | ₽62 854 |
| glm 4.7 | z ai | ₽2 514/M | ₽2 514/M | ₽62 854 |
| iquest coder v1 40b instruct | iquest coder v1 40b instruct | ₽2 514/M | ₽2 514/M | ₽62 854 |
| iquest coder v1 40b loop instruct | iquest coder v1 40b loop instruct | ₽2 514/M | ₽2 514/M | ₽62 854 |
| mineru2.5 pro 2604 1.2b | mineru2.5 pro 2604 1.2b | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3 asr | qwen3 asr | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3.5 122b a10b | qwen | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3.5 27b | qwen | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3.5 35b a3b | qwen | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3.5 397b a17b | qwen | ₽2 514/M | ₽2 514/M | ₽62 854 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 514/M | ₽2 514/M | ₽62 854 |
| Claude Opus 4.5 | claude opus 4 5 | ₽1 467/M | ₽7 333/M | ₽65 997 |
| Claude Opus 4.6 | claude opus 4 6 | ₽1 467/M | ₽7 333/M | ₽65 997 |
| Claude Opus 4.7 | claude opus 4 7 | ₽1 467/M | ₽7 333/M | ₽65 997 |
| claude opus 4.8 | anthropic | ₽1 467/M | ₽7 333/M | ₽65 997 |
| o3 pro | openai | ₽1 676/M | ₽6 704/M | ₽67 045 |
| gpt 5 pro | openai | ₽1 257/M | ₽10 057/M | ₽75 425 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2 011/M | ₽8 045/M | ₽80 454 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽2 011/M | ₽8 045/M | ₽80 454 |
| GPT Realtime 2.1 | gpt realtime 2.1 | ₽1 676/M | ₽10 057/M | ₽83 806 |
| Pro · deepseek-ai · DeepSeek-R1 | Pro | ₽2 514/M | ₽10 057/M | ₽100 567 |
| gpt 5.2 pro | openai | ₽1 760/M | ₽14 079/M | ₽105 595 |
| gemini 3 pro image preview ghacks | gemini 3 pro image preview ghacks | ₽335/M | ₽20 113/M | ₽107 271 |
| gemini 3 pro image preview t | gemini 3 pro image preview t | ₽335/M | ₽20 113/M | ₽107 271 |
| claude fable 5 | anthropic | ₽2 933/M | ₽14 666/M | ₽131 994 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽5 866/M | ₽5 866/M | ₽146 660 |
| GPT 4 32K | gpt 4 32k | ₽5 028/M | ₽10 057/M | ₽150 850 |
| gpt 5.4 pro | openai | ₽2 514/M | ₽20 113/M | ₽150 850 |
| Qwen-Omni Turbo | alibaba | ₽5 028/M | ₽10 057/M | ₽150 850 |
| codeqwen1.5 7b chat | codeqwen1.5 7b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| gpt 35 turbo | gpt 35 turbo | ₽6 285/M | ₽6 285/M | ₽157 136 |
| GPT Realtime Translate | gpt realtime translate | ₽6 285/M | ₽6 285/M | ₽157 136 |
| gpt realtime whisper | gpt realtime whisper | ₽6 285/M | ₽6 285/M | ₽157 136 |
| gui plus | gui plus | ₽6 285/M | ₽6 285/M | ₽157 136 |
| moonshot v1 auto | moonshot v1 auto | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qvq max | qvq max | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qvq plus | qvq plus | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 1.8b chat | qwen 1.8b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 1.8b longcontext chat | qwen 1.8b longcontext chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 14b chat | qwen 14b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 72b chat | qwen 72b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 7b chat | qwen 7b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen deep search planning | qwen deep search planning | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Flash Character | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Image Edit Max | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Image Edit Plus | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Image Max | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Image Plus | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen max 1201 | qwen max 1201 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen tts | qwen tts | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen-MT Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen-MT Lite | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 asr flash realtime | qwen3 asr flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 coder flash | qwen | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 livetranslate flash | qwen3 livetranslate flash | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 livetranslate flash realtime | qwen3 livetranslate flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 omni flash realtime | qwen3 omni flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 s2s flash realtime 2025 09 22 | qwen3 s2s flash realtime 2025 09 22 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 tts flash realtime | qwen3 tts flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 tts instruct flash realtime | qwen3 tts instruct flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 tts vc realtime 2025 11 27 | qwen3 tts vc realtime 2025 11 27 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 tts vd realtime 2025 12 16 | qwen3 tts vd realtime 2025 12 16 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen3-Omni Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen3-TTS Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen3-VL Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| siliconflow · deepseek-r1-0528 | siliconflow | ₽6 285/M | ₽6 285/M | ₽157 136 |
| siliconflow · deepseek-v3-0324 | siliconflow | ₽6 285/M | ₽6 285/M | ₽157 136 |
| siliconflow · deepseek-v3.1-terminus | siliconflow | ₽6 285/M | ₽6 285/M | ₽157 136 |
| siliconflow · deepseek-v3.2 | siliconflow | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Sora | sora | ₽6 285/M | ₽6 285/M | ₽157 136 |
| sora 2 panopticon | sora 2 panopticon | ₽6 285/M | ₽6 285/M | ₽157 136 |
| tongyi xiaomi analysis flash | tongyi xiaomi analysis flash | ₽6 285/M | ₽6 285/M | ₽157 136 |
| tongyi xiaomi analysis pro | tongyi xiaomi analysis pro | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Veo 2.0 Generate 001 | veo 2.0 generate 001 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Whisper | openai | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Z-Image Turbo | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| gpt 4.5 preview | gpt 4.5 preview | ₽6 285/M | ₽12 571/M | ₽188 563 |
| gpt 4v | gpt 4v | ₽6 285/M | ₽12 571/M | ₽188 563 |
| Claude Opus 4 | claude opus 4 | ₽4 400/M | ₽21 999/M | ₽197 991 |
| deepseek r1 distill llama 70b | deepseek | ₽6 285/M | ₽25 142/M | ₽251 417 |
| deepseek r1 distill llama 8b | deepseek r1 distill llama 8b | ₽6 285/M | ₽25 142/M | ₽251 417 |
| gemini robotics er 1.5 preview | gemini robotics er 1.5 preview | ₽6 285/M | ₽25 142/M | ₽251 417 |
| Omni Moderation | omni moderation latest | ₽21 999/M | ₽21 999/M | ₽549 976 |
| gpt audio mini | openai | ₽31 427/M | ₽31 427/M | ₽785 679 |
| text embedding 3 large 1 | text embedding 3 large 1 | ₽31 427/M | ₽31 427/M | ₽785 679 |
| text embedding 3 small 1 | text embedding 3 small 1 | ₽31 427/M | ₽31 427/M | ₽785 679 |
| text embedding ada 002 2 | text embedding ada 002 2 | ₽31 427/M | ₽31 427/M | ₽785 679 |
| gpt 4o 64k output alpha | gpt 4o 64k output alpha | ₽21 999/M | ₽87 996/M | ₽879 961 |
| grok 2 | grok 2 | ₽15 085/M | ₽452 551/M | ₽2 564 457 |
Изображения
за изображение · 16
▼
Изображения
за изображение · 16
| Модель | Maker | Цена |
|---|---|---|
| DALL E 3 | DALL E 3 | ₽0.0034/изобр. |
| Flux | flux | ₽0.84/изобр. |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽3.35/изобр. |
| flux.1 kontext pro | flux.1 kontext pro | ₽3.35/изобр. |
| gemini 2.0 flash exp image | gemini 2.0 flash exp image | ₽3.35/изобр. |
| gemini 2.0 flash preview image generation | gemini 2.0 flash preview image generation | ₽3.35/изобр. |
| gemini 2.5 flash image | ₽3.35/изобр. | |
| Dall E 2 | dall e 2 | ₽4.69/изобр. |
| gpt 4o image | gpt 4o image | ₽5.03/изобр. |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate 001 | ₽5.03/изобр. |
| gpt image 2 vip c | gpt image 2 vip c | ₽10.06/изобр. |
| gemini 3.1 flash image preview c | gemini 3.1 flash image preview c | ₽12.65/изобр. |
| grok 2 image | grok 2 image | ₽17.60/изобр. |
| grok 2 image 1212 | grok 2 image 1212 | ₽17.60/изобр. |
| gemini 3 pro image preview c | gemini 3 pro image preview c | ₽20.11/изобр. |
| doubao seedream 3 0 t2i 250415 | doubao seedream 3 0 t2i 250415 | ₽21.71/изобр. |
За запрос
фиксированная цена за вызов · 42
▼
За запрос
фиксированная цена за вызов · 42
| Модель | Maker | Цена |
|---|---|---|
| Fileupload | fileupload | ₽0.08/вызов |
| stable diffusion | stable diffusion | ₽0.08/вызов |
| stable diffusion 3 2b | stable diffusion 3 2b | ₽0.17/вызов |
| llama 3.2 1b:free | meta llama | ₽0.42/вызов |
| sd3.5 medium | sd3.5 medium | ₽0.42/вызов |
| llama 3.2 90b vision | llama 3.2 90b vision | ₽1.68/вызов |
| mj_describe | mj_describe | ₽4.19/вызов |
| mj_upscale | mj_upscale | ₽4.19/вызов |
| gpt 4 gizmo * | gpt 4 gizmo * | ₽5.03/вызов |
| GPT-4o | gpt 4o | ₽5.03/вызов |
| grok 3 deepsearch | grok 3 deepsearch | ₽8.38/вызов |
| grok 3 reasoner | grok 3 reasoner | ₽8.38/вызов |
| luma video | luma video | ₽8.38/вызов |
| mj_blend | mj_blend | ₽8.38/вызов |
| mj_high_variation | mj_high_variation | ₽8.38/вызов |
| mj_imagine | mj_imagine | ₽8.38/вызов |
| mj_low_variation | mj_low_variation | ₽8.38/вызов |
| mj_modal | mj_modal | ₽8.38/вызов |
| mj_pan | mj_pan | ₽8.38/вызов |
| mj_reroll | mj_reroll | ₽8.38/вызов |
| mj_shorten | mj_shorten | ₽8.38/вызов |
| mj_variation | mj_variation | ₽8.38/вызов |
| mj_zoom | mj_zoom | ₽8.38/вызов |
| sd3.5 large | sd3.5 large | ₽8.38/вызов |
| sd3.5 large turbo | sd3.5 large turbo | ₽8.38/вызов |
| Sora 2 | Sora 2 | ₽8.38/вызов |
| o3 mini high | openai | ₽12.57/вызов |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽16.76/вызов |
| Sora 2 Pro | sora 2 pro | ₽25.14/вызов |
| Suno | suno | ₽25.14/вызов |
| Suno v3.5 | Suno v3.5 | ₽25.14/вызов |
| mj chat | mj chat | ₽41.90/вызов |
| O1 | o1 | ₽41.90/вызов |
| pika text to video | pika text to video | ₽50.28/вызов |
| o1 pro | openai | ₽101/вызов |
| advanced voice | advanced voice | ₽168/вызов |
| luma vip video | luma vip video | ₽201/вызов |
| luma pro video | luma pro video | ₽268/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽838/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽838/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽838/вызов |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽838/вызов |
Без публичной цены
нет данных в открытых источниках · 2
▼
Без публичной цены
нет данных в открытых источниках · 2
| Модель | Maker | Примечание |
|---|---|---|
| mj_custom_zoom | mj_custom_zoom | — |
| mj_inpaint | mj_inpaint | — |
Текст и чат
оплата за токены · 362
▼
Текст и чат
оплата за токены · 362
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽0.0017/M | ₽0.0017/M | ₽0 |
| Text Embedding ADA | text embedding ada | ₽0.0084/M | ₽0.0084/M | ₽0 |
| GPT-5 Nano | gpt 5 nano | ₽0.0042/M | ₽0.03/M | ₽0 |
| text embedding 3 large | openai | ₽0.01/M | ₽0.01/M | ₽0 |
| gpt 4.1 nano | openai | ₽0.0084/M | ₽0.03/M | ₽0 |
| GPT-4o Mini | gpt 4o mini | ₽0.01/M | ₽0.05/M | ₽1 |
| gpt 4.1 mini | openai | ₽0.03/M | ₽0.13/M | ₽1 |
| gpt 3.5 turbo | openai | ₽0.04/M | ₽0.13/M | ₽1 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽0.08/M | ₽0.17/M | ₽3 |
| O1 Mini | o1 mini | ₽0.09/M | ₽0.37/M | ₽4 |
| O3 Mini | o3 mini | ₽0.09/M | ₽0.37/M | ₽4 |
| O4 Mini | o4 mini | ₽0.09/M | ₽0.37/M | ₽4 |
| GPT-4o Mini Transcribe | openai | ₽0.13/M | ₽0.50/M | ₽5 |
| gpt 5 chat | openai | ₽0.10/M | ₽0.84/M | ₽6 |
| gpt 5 codex | openai | ₽0.10/M | ₽0.84/M | ₽6 |
| GPT-5 | gpt 5 | ₽0.10/M | ₽0.84/M | ₽6 |
| gpt 4.1 | openai | ₽0.17/M | ₽0.67/M | ₽7 |
| O3 | o3 | ₽0.17/M | ₽0.67/M | ₽7 |
| Qwen Text Embedding v3 | alibaba | ₽0.59/M | ₽0.59/M | ₽15 |
| gpt 4o mini tts | openai | ₽1.01/M | ₽1.01/M | ₽25 |
| gpt 4 turbo | openai | ₽0.84/M | ₽2.51/M | ₽29 |
| tts 1 | openai | ₽1.26/M | ₽1.26/M | ₽31 |
| Bge M3 | baai | ₽2.01/M | ₽2.01/M | ₽50 |
| tts 1 hd | openai | ₽2.51/M | ₽2.51/M | ₽63 |
| whisper 1 | openai | ₽2.51/M | ₽2.51/M | ₽63 |
| glm 4.5 flash | glm 4.5 flash | ₽1.68/M | ₽6.70/M | ₽67 |
| gemini 1.5 flash 8b | gemini 1.5 flash 8b | ₽3.14/M | ₽12.57/M | ₽126 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽9.39/M | ₽9.39/M | ₽235 |
| Qwen Max Longcontext | qwen max longcontext | ₽5.95/M | ₽23.80/M | ₽238 |
| gpt 5.6 luna | openai | ₽5.03/M | ₽30.17/M | ₽251 |
| Gemini 1.5 Flash | gemini 1.5 flash | ₽6.29/M | ₽25.14/M | ₽251 |
| Gemini 2.0 Flash Lite | ₽6.29/M | ₽25.14/M | ₽251 | |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.57/M | ₽12.57/M | ₽314 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽8.38/M | ₽33.52/M | ₽335 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.38/M | ₽33.52/M | ₽335 |
| gemini flash lite:free | gemini flash lite latest nothinking | ₽8.38/M | ₽33.52/M | ₽335 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽12.57/M | ₽50.28/M | ₽503 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽12.57/M | ₽50.28/M | ₽503 |
| gpt oss 120b | openai | ₽12.57/M | ₽50.28/M | ₽503 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽16.76/M | ₽41.90/M | ₽545 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽16.76/M | ₽41.90/M | ₽545 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽16.76/M | ₽41.90/M | ₽545 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽16.76/M | ₽41.90/M | ₽545 |
| gpt oss 20b | openai | ₽14.67/M | ₽52.80/M | ₽557 |
| deepseek ocr | deepseek ocr | ₽13.41/M | ₽60.34/M | ₽570 |
| Gemini Embedding 2 | gemini embedding 2 | ₽16.76/M | ₽67.04/M | ₽670 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽16.76/M | ₽67.04/M | ₽670 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽25.14/M | ₽50.28/M | ₽754 |
| Qwen Turbo | qwen turbo | ₽25.14/M | ₽50.28/M | ₽754 |
| gpt 5.4 nano | openai | ₽16.76/M | ₽105/M | ₽859 |
| Doubao Seed 1.6 Flash | bytedance | ₽12.57/M | ₽126/M | ₽880 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽12.57/M | ₽126/M | ₽880 |
| Qwen2.5 3B Instruct | qwen2.5 3b instruct | ₽25.14/M | ₽75.43/M | ₽880 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽23.47/M | ₽93.86/M | ₽939 |
| gpt 5.4 mini | openai | ₽18.86/M | ₽113/M | ₽943 |
| Grok Code Fast 1 | grok code fast 1 | ₽16.76/M | ₽126/M | ₽964 |
| DeepSeek R1 Distill Qwen 1.5B | DeepSeek R1 Distill Qwen 1.5B | ₽25.14/M | ₽101/M | ₽1 006 |
| deepseek v4 flash | deepseek | ₽33.52/M | ₽67.04/M | ₽1 006 |
| gemini 3.1 flash lite | ₽20.95/M | ₽126/M | ₽1 048 | |
| qwen3 8b | qwen | ₽16.76/M | ₽168/M | ₽1 173 |
| gpt 5.1 codex mini | openai | ₽20.95/M | ₽168/M | ₽1 257 |
| GPT-5 Mini | gpt 5 mini | ₽20.95/M | ₽168/M | ₽1 257 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽41.90/M | ₽83.81/M | ₽1 257 |
| qwen2.5 7b instruct 1m | qwen2.5 7b instruct 1m | ₽41.90/M | ₽83.81/M | ₽1 257 |
| hunyuan a13b | hunyuan a13b | ₽33.52/M | ₽134/M | ₽1 341 |
| qwen3.5 plus | qwen3.5 plus | ₽26.82/M | ₽161/M | ₽1 341 |
| Grok 3 Mini | grok 3 mini | ₽50.28/M | ₽83.77/M | ₽1 425 |
| Text Moderation | text moderation latest | ₽58.66/M | ₽58.66/M | ₽1 467 |
| Text Moderation Stable | text moderation stable | ₽58.66/M | ₽58.66/M | ₽1 467 |
| Gemini Flash Latest | gemini flash latest | ₽25.14/M | ₽210/M | ₽1 551 |
| Qwen Long | qwen long | ₽41.90/M | ₽168/M | ₽1 676 |
| Qwen3 0.6b | qwen3 0.6b | ₽25.14/M | ₽251/M | ₽1 760 |
| Qwen3 1.7b | qwen3 1.7b | ₽25.14/M | ₽251/M | ₽1 760 |
| Qwen3 4B | qwen3 4b | ₽25.14/M | ₽251/M | ₽1 760 |
| deepseek v3.2 | deepseek | ₽67.04/M | ₽101/M | ₽1 844 |
| Qwen-MT Turbo | alibaba | ₽58.66/M | ₽163/M | ₽1 990 |
| deepseek r1 distill qwen 7b | deepseek r1 distill qwen 7b | ₽50.28/M | ₽201/M | ₽2 011 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽50.28/M | ₽201/M | ₽2 011 |
| gpt realtime mini | gpt realtime mini | ₽50.28/M | ₽201/M | ₽2 011 |
| Gemini 3 Flash | gemini 3 flash | ₽41.90/M | ₽251/M | ₽2 095 |
| gemini 3.1 flash preview | gemini 3.1 flash preview | ₽41.90/M | ₽251/M | ₽2 095 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽67.04/M | ₽168/M | ₽2 179 |
| doubao pro 32k 241215 | doubao pro 32k 241215 | ₽67.04/M | ₽168/M | ₽2 179 |
| doubao pro 32k character 241215 | doubao pro 32k character 241215 | ₽67.04/M | ₽168/M | ₽2 179 |
| Qwen Plus | qwen plus | ₽67.04/M | ₽168/M | ₽2 179 |
| qwen3 30b a3b instruct 2507 | qwen | ₽58.66/M | ₽235/M | ₽2 347 |
| gpt 5.6 terra | openai | ₽50.28/M | ₽302/M | ₽2 514 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽83.81/M | ₽168/M | ₽2 514 |
| Qwen2 7B Instruct | Qwen | ₽83.81/M | ₽168/M | ₽2 514 |
| Qwen2.5 Coder 7B | Qwen | ₽83.81/M | ₽168/M | ₽2 514 |
| DeepSeek V3 | deepseek search | ₽67.04/M | ₽268/M | ₽2 682 |
| minimax m2 | minimax | ₽67.04/M | ₽268/M | ₽2 682 |
| Qwen3 235B A22B Instruct | alibaba | ₽67.04/M | ₽268/M | ₽2 682 |
| qwen3 32b | qwen | ₽67.04/M | ₽268/M | ₽2 682 |
| minimax m2.5 | minimax | ₽70.40/M | ₽282/M | ₽2 816 |
| babbage 002 | babbage 002 | ₽117/M | ₽117/M | ₽2 933 |
| deepseek r1 distill qwen 14b | deepseek r1 distill qwen 14b | ₽83.81/M | ₽251/M | ₽2 933 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽83.81/M | ₽251/M | ₽2 933 |
| qwen2.5 14b instruct 1m | qwen2.5 14b instruct 1m | ₽83.81/M | ₽251/M | ₽2 933 |
| Text Ada 001 | text ada 001 | ₽117/M | ₽117/M | ₽2 933 |
| gpt 5.4 | openai | ₽62.85/M | ₽377/M | ₽3 143 |
| GPT 5.4 High | gpt 5.4 high | ₽62.85/M | ₽377/M | ₽3 143 |
| GPT 5.4 Low | gpt 5.4 low | ₽62.85/M | ₽377/M | ₽3 143 |
| gpt 5.4 medium | gpt 5.4 medium | ₽62.85/M | ₽377/M | ₽3 143 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽62.85/M | ₽377/M | ₽3 143 |
| grok 4.3 | x ai | ₽105/M | ₽210/M | ₽3 143 |
| glm 4.5 | z ai | ₽83.81/M | ₽335/M | ₽3 352 |
| Text Babbage 001 | text babbage 001 | ₽147/M | ₽147/M | ₽3 667 |
| o3 mini low | o3 mini low | ₽92.19/M | ₽369/M | ₽3 687 |
| o3 mini medium | o3 mini medium | ₽92.19/M | ₽369/M | ₽3 687 |
| deepseek v3 0324 az | deepseek v3 0324 az | ₽95.54/M | ₽382/M | ₽3 822 |
| glm 4.5 air | z ai | ₽101/M | ₽402/M | ₽4 023 |
| Gemini 1.5 Pro | gemini 1.5 pro | ₽105/M | ₽419/M | ₽4 190 |
| gemini 3 flash preview ghacks | gemini 3 flash preview ghacks | ₽83.81/M | ₽503/M | ₽4 190 |
| grok 3 mini beta high | grok 3 mini beta high | ₽151/M | ₽251/M | ₽4 274 |
| grok 3 mini beta low | grok 3 mini beta low | ₽151/M | ₽251/M | ₽4 274 |
| grok 3 mini beta medium | grok 3 mini beta medium | ₽151/M | ₽251/M | ₽4 274 |
| qwq plus | qwq plus | ₽134/M | ₽335/M | ₽4 358 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽126/M | ₽377/M | ₽4 400 |
| Qwen-VL Plus | alibaba | ₽126/M | ₽377/M | ₽4 400 |
| mai ds r1 | mai ds r1 | ₽110/M | ₽440/M | ₽4 405 |
| deepseek v3.2 speciale | deepseek v3.2 speciale | ₽168/M | ₽251/M | ₽4 609 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽67.04/M | ₽670/M | ₽4 693 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽67.04/M | ₽670/M | ₽4 693 |
| Codex Mini | codex mini | ₽126/M | ₽503/M | ₽5 028 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽41.90/M | ₽838/M | ₽5 028 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽168/M | ₽335/M | ₽5 028 |
| Qwen-MT Plus | alibaba | ₽151/M | ₽453/M | ₽5 280 |
| DeepSeek R1 | deepseek r1 | ₽134/M | ₽536/M | ₽5 364 |
| deepseek v3.1 terminus | deepseek | ₽134/M | ₽536/M | ₽5 364 |
| Kimi K2 | kimi k2 | ₽134/M | ₽536/M | ₽5 364 |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽168/M | ₽503/M | ₽5 866 |
| qwen 2.5 coder 32b instruct | qwen | ₽168/M | ₽503/M | ₽5 866 |
| qwen coder turbo | qwen coder turbo | ₽168/M | ₽503/M | ₽5 866 |
| qwen math turbo | qwen math turbo | ₽168/M | ₽503/M | ₽5 866 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽168/M | ₽503/M | ₽5 866 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽168/M | ₽503/M | ₽5 866 |
| qwen3 14b | qwen | ₽83.81/M | ₽838/M | ₽5 866 |
| Qwen3-VL Plus | alibaba | ₽83.81/M | ₽838/M | ₽5 866 |
| Kimi K2.5 | kimi k2.5 | ₽134/M | ₽704/M | ₽6 202 |
| Gemini 2.5 Computer Use Preview 10-2025 | gemini 2.5 computer use preview 10 2025 | ₽105/M | ₽838/M | ₽6 285 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 285 |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 285 | |
| Gemini Pro | gemini pro | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5 single | gpt 5 single | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 chat | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 codex | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 codex max | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.5 | openai | ₽126/M | ₽754/M | ₽6 285 |
| gpt 5.6 sol | openai | ₽126/M | ₽754/M | ₽6 285 |
| gpt audio | openai | ₽210/M | ₽419/M | ₽6 285 |
| gpt image 2 | gpt image 2 | ₽126/M | ₽754/M | ₽6 285 |
| qwen1.5 0.5b chat | qwen1.5 0.5b chat | ₽239/M | ₽342/M | ₽6 499 |
| qwen1.5 1.8b chat | qwen1.5 1.8b chat | ₽239/M | ₽342/M | ₽6 499 |
| qwen2 0.5b instruct | qwen2 0.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| Qwen2 1.5b Instruct | Qwen | ₽239/M | ₽342/M | ₽6 499 |
| qwen2.5 0.5b instruct | qwen2.5 0.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| qwen2.5 1.5b instruct | qwen2.5 1.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| qwen2.5 coder 0.5b instruct | qwen2.5 coder 0.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| qwen2.5 coder 3b instruct | qwen2.5 coder 3b instruct | ₽239/M | ₽342/M | ₽6 499 |
| Qwen2.5 Math 1.5b Instruct | qwen2.5 math 1.5b instruct | ₽239/M | ₽342/M | ₽6 499 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽239/M | ₽342/M | ₽6 499 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽239/M | ₽342/M | ₽6 499 |
| DeepSeek Chat (V3) | deepseek chat | ₽168/M | ₽670/M | ₽6 704 |
| deepseek v3 250324 | deepseek v3 250324 | ₽168/M | ₽670/M | ₽6 704 |
| deepseek v3 searching | deepseek v3 searching | ₽168/M | ₽670/M | ₽6 704 |
| gpt 3.5 turbo 16k | openai | ₽251/M | ₽335/M | ₽6 704 |
| gpt image 1 mini | openai | ₽168/M | ₽670/M | ₽6 704 |
| qwen3 235b a22b | qwen | ₽168/M | ₽670/M | ₽6 704 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽168/M | ₽670/M | ₽6 704 |
| minimax m2.1 | minimax | ₽176/M | ₽704/M | ₽7 040 |
| gpt image 1 | openai | ₽126/M | ₽1 006/M | ₽7 543 |
| Moonshot V1 8K | moonshot v1 8k | ₽168/M | ₽838/M | ₽7 543 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽168/M | ₽838/M | ₽7 543 |
| GLM-5 | glm 5 | ₽201/M | ₽738/M | ₽7 713 |
| glm 5.1 | z ai | ₽201/M | ₽805/M | ₽8 045 |
| Qwen Max | qwen max | ₽201/M | ₽805/M | ₽8 045 |
| Gemini 3 Pro | gemini 3 pro | ₽168/M | ₽1 006/M | ₽8 381 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽168/M | ₽1 006/M | ₽8 381 |
| gemini 3.1 pro preview customtools | ₽168/M | ₽1 006/M | ₽8 381 | |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽210/M | ₽838/M | ₽8 381 |
| GPT 4o Transcribe Diarize | gpt 4o transcribe diarize | ₽210/M | ₽838/M | ₽8 381 |
| gpt audio 1.5 | openai | ₽210/M | ₽838/M | ₽8 381 |
| GPT-4o Transcribe | openai | ₽210/M | ₽838/M | ₽8 381 |
| Qwen3 Max | qwen3 max | ₽210/M | ₽838/M | ₽8 381 |
| gpt 5.2 | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.2 chat | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.2 codex | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.3 chat | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.3 codex | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| qwen3 30b a3b | qwen | ₽126/M | ₽1 257/M | ₽8 800 |
| doubao 1 5 vision pro 32k 250115 | doubao 1 5 vision pro 32k 250115 | ₽251/M | ₽754/M | ₽8 800 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽251/M | ₽754/M | ₽8 800 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽251/M | ₽754/M | ₽8 800 |
| qwen coder plus | qwen coder plus | ₽293/M | ₽587/M | ₽8 800 |
| qwen coder plus 1106 | qwen coder plus 1106 | ₽293/M | ₽587/M | ₽8 800 |
| Qwen-VL Max | alibaba | ₽251/M | ₽754/M | ₽8 800 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽293/M | ₽587/M | ₽8 800 |
| Qwen2 57B A14B Instruct | Qwen | ₽293/M | ₽587/M | ₽8 800 |
| kimi k2.6 | moonshotai | ₽218/M | ₽905/M | ₽8 884 |
| glm 4.6 | z ai | ₽235/M | ₽939/M | ₽9 386 |
| Computer Use Preview | computer use preview | ₽251/M | ₽1 006/M | ₽10 057 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽83.81/M | ₽1 676/M | ₽10 057 |
| Gemini 3.1 Flash TTS | ₽83.81/M | ₽1 676/M | ₽10 057 | |
| GPT Realtime 2.1 Mini | gpt realtime 2.1 mini | ₽251/M | ₽1 006/M | ₽10 057 |
| grok beta | grok beta | ₽419/M | ₽419/M | ₽10 476 |
| Qwen-VL OCR | alibaba | ₽419/M | ₽419/M | ₽10 476 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽251/M | ₽1 257/M | ₽11 314 |
| Grok 3 | grok 3 | ₽251/M | ₽1 257/M | ₽11 314 |
| Grok 4 | grok 4 | ₽251/M | ₽1 257/M | ₽11 314 |
| deepseek v3.1 | deepseek v3.1 | ₽335/M | ₽1 006/M | ₽11 733 |
| qwen math plus | qwen math plus | ₽335/M | ₽1 006/M | ₽11 733 |
| deepseek v4 pro | deepseek | ₽402/M | ₽805/M | ₽12 068 |
| qwen 2.5 72b instruct | qwen | ₽346/M | ₽1 038/M | ₽12 114 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽419/M | ₽754/M | ₽12 152 |
| grok 2 vision | grok 2 vision | ₽503/M | ₽503/M | ₽12 571 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽419/M | ₽838/M | ₽12 571 |
| o4 mini high | openai | ₽323/M | ₽1 291/M | ₽12 906 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽293/M | ₽1 467/M | ₽13 199 |
| deepseek r1 250120 | deepseek r1 250120 | ₽335/M | ₽1 341/M | ₽13 409 |
| deepseek r1 250528 | deepseek r1 250528 | ₽335/M | ₽1 341/M | ₽13 409 |
| deepseek r1 searching | deepseek r1 searching | ₽335/M | ₽1 341/M | ₽13 409 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽335/M | ₽1 341/M | ₽13 409 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽335/M | ₽1 341/M | ₽13 409 |
| doubao 1 5 thinking pro m 250415 | doubao 1 5 thinking pro m 250415 | ₽335/M | ₽1 341/M | ₽13 409 |
| doubao 1 5 thinking pro m 250428 | doubao 1 5 thinking pro m 250428 | ₽335/M | ₽1 341/M | ₽13 409 |
| gpt image 1.5 | openai | ₽335/M | ₽1 341/M | ₽13 409 |
| gpt realtime | gpt realtime | ₽335/M | ₽1 341/M | ₽13 409 |
| gpt realtime 1.5 | gpt realtime 1.5 | ₽335/M | ₽1 341/M | ₽13 409 |
| qwen3 coder plus | qwen | ₽335/M | ₽1 341/M | ₽13 409 |
| Davinci | davinci | ₽587/M | ₽587/M | ₽14 666 |
| Test | test | ₽587/M | ₽587/M | ₽14 666 |
| Text Curie 001 | text curie 001 | ₽587/M | ₽587/M | ₽14 666 |
| grok 3 mini fast beta high | grok 3 mini fast beta high | ₽302/M | ₽2 011/M | ₽16 090 |
| grok 3 mini fast beta low | grok 3 mini fast beta low | ₽302/M | ₽2 011/M | ₽16 090 |
| grok 3 mini fast beta medium | grok 3 mini fast beta medium | ₽302/M | ₽2 011/M | ₽16 090 |
| qwen3 coder 480b | qwen3 coder 480b | ₽536/M | ₽1 073/M | ₽16 091 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽419/M | ₽1 676/M | ₽16 761 |
| gpt realtime 2 | gpt realtime 2 | ₽335/M | ₽2 011/M | ₽16 761 |
| Moonshot V1 32K | moonshot v1 32k | ₽419/M | ₽1 676/M | ₽16 761 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽419/M | ₽1 676/M | ₽16 761 |
| Qwen1.5 110B Chat | Qwen | ₽587/M | ₽1 173/M | ₽17 599 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽503/M | ₽2 011/M | ₽20 113 |
| gpt 5.5 instant | gpt 5.5 instant | ₽419/M | ₽2 514/M | ₽20 951 |
| GPT Chat | gpt chat latest | ₽419/M | ₽2 514/M | ₽20 951 |
| Grok 2 1212 | grok 2 1212 | ₽503/M | ₽2 514/M | ₽22 628 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽503/M | ₽2 514/M | ₽22 628 |
| o4 mini deep research | openai | ₽587/M | ₽2 347/M | ₽23 466 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽670/M | ₽2 011/M | ₽23 466 |
| gpt 4 | openai | ₽838/M | ₽1 676/M | ₽25 142 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽838/M | ₽1 676/M | ₽25 142 |
| gpt 4 vision | gpt 4 vision | ₽838/M | ₽1 676/M | ₽25 142 |
| gemini 3.1 flash lite image | ₽41.90/M | ₽5 028/M | ₽25 980 | |
| gemini 3.1 image preview | gemini 3.1 image preview | ₽41.90/M | ₽5 028/M | ₽25 980 |
| GLM 4.5 Airx | glm 4.5 airx | ₽670/M | ₽2 682/M | ₽26 818 |
| kimi latest | kimi latest | ₽838/M | ₽2 514/M | ₽29 332 |
| Moonshot V1 128K | moonshot v1 128k | ₽838/M | ₽2 514/M | ₽29 332 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽838/M | ₽2 514/M | ₽29 332 |
| Grok Vision Beta | grok vision beta | ₽1 257/M | ₽1 257/M | ₽31 427 |
| Tts 1 1106 | tts 1 1106 | ₽1 257/M | ₽1 257/M | ₽31 427 |
| o3 deep research | openai | ₽838/M | ₽3 352/M | ₽33 522 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽880/M | ₽4 400/M | ₽39 598 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽880/M | ₽4 400/M | ₽39 598 |
| gpt 5.5 high | gpt 5.5 high | ₽1 886/M | ₽1 886/M | ₽47 141 |
| gpt 5.5 low | gpt 5.5 low | ₽1 886/M | ₽1 886/M | ₽47 141 |
| gpt 5.5 medium | gpt 5.5 medium | ₽1 886/M | ₽1 886/M | ₽47 141 |
| gpt 5.5 xhigh | gpt 5.5 xhigh | ₽1 886/M | ₽1 886/M | ₽47 141 |
| gemini 3.1 flash image | ₽83.81/M | ₽10 057/M | ₽51 960 | |
| gemini 3 pro image | ₽168/M | ₽10 057/M | ₽53 636 | |
| GLM 4.5 X | glm 4.5 x | ₽1 341/M | ₽5 364/M | ₽53 636 |
| Pro · deepseek-ai · DeepSeek-V3 | Pro | ₽1 341/M | ₽5 364/M | ₽53 636 |
| Bge Reranker V2 M3 | BAAI | ₽2 514/M | ₽2 514/M | ₽62 854 |
| glm 4.7 | z ai | ₽2 514/M | ₽2 514/M | ₽62 854 |
| iquest coder v1 40b instruct | iquest coder v1 40b instruct | ₽2 514/M | ₽2 514/M | ₽62 854 |
| iquest coder v1 40b loop instruct | iquest coder v1 40b loop instruct | ₽2 514/M | ₽2 514/M | ₽62 854 |
| mineru2.5 pro 2604 1.2b | mineru2.5 pro 2604 1.2b | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3 asr | qwen3 asr | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3.5 122b a10b | qwen | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3.5 27b | qwen | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3.5 35b a3b | qwen | ₽2 514/M | ₽2 514/M | ₽62 854 |
| qwen3.5 397b a17b | qwen | ₽2 514/M | ₽2 514/M | ₽62 854 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽2 514/M | ₽2 514/M | ₽62 854 |
| Claude Opus 4.5 | claude opus 4 5 | ₽1 467/M | ₽7 333/M | ₽65 997 |
| Claude Opus 4.6 | claude opus 4 6 | ₽1 467/M | ₽7 333/M | ₽65 997 |
| Claude Opus 4.7 | claude opus 4 7 | ₽1 467/M | ₽7 333/M | ₽65 997 |
| claude opus 4.8 | anthropic | ₽1 467/M | ₽7 333/M | ₽65 997 |
| o3 pro | openai | ₽1 676/M | ₽6 704/M | ₽67 045 |
| gpt 5 pro | openai | ₽1 257/M | ₽10 057/M | ₽75 425 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2 011/M | ₽8 045/M | ₽80 454 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽2 011/M | ₽8 045/M | ₽80 454 |
| GPT Realtime 2.1 | gpt realtime 2.1 | ₽1 676/M | ₽10 057/M | ₽83 806 |
| Pro · deepseek-ai · DeepSeek-R1 | Pro | ₽2 514/M | ₽10 057/M | ₽100 567 |
| gpt 5.2 pro | openai | ₽1 760/M | ₽14 079/M | ₽105 595 |
| gemini 3 pro image preview ghacks | gemini 3 pro image preview ghacks | ₽335/M | ₽20 113/M | ₽107 271 |
| gemini 3 pro image preview t | gemini 3 pro image preview t | ₽335/M | ₽20 113/M | ₽107 271 |
| claude fable 5 | anthropic | ₽2 933/M | ₽14 666/M | ₽131 994 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽5 866/M | ₽5 866/M | ₽146 660 |
| GPT 4 32K | gpt 4 32k | ₽5 028/M | ₽10 057/M | ₽150 850 |
| gpt 5.4 pro | openai | ₽2 514/M | ₽20 113/M | ₽150 850 |
| Qwen-Omni Turbo | alibaba | ₽5 028/M | ₽10 057/M | ₽150 850 |
| codeqwen1.5 7b chat | codeqwen1.5 7b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| gpt 35 turbo | gpt 35 turbo | ₽6 285/M | ₽6 285/M | ₽157 136 |
| GPT Realtime Translate | gpt realtime translate | ₽6 285/M | ₽6 285/M | ₽157 136 |
| gpt realtime whisper | gpt realtime whisper | ₽6 285/M | ₽6 285/M | ₽157 136 |
| gui plus | gui plus | ₽6 285/M | ₽6 285/M | ₽157 136 |
| moonshot v1 auto | moonshot v1 auto | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qvq max | qvq max | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qvq plus | qvq plus | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 1.8b chat | qwen 1.8b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 1.8b longcontext chat | qwen 1.8b longcontext chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 14b chat | qwen 14b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 72b chat | qwen 72b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen 7b chat | qwen 7b chat | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen deep search planning | qwen deep search planning | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Flash Character | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Image Edit Max | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Image Edit Plus | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Image Max | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen Image Plus | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen max 1201 | qwen max 1201 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen tts | qwen tts | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen-MT Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen-MT Lite | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 asr flash realtime | qwen3 asr flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 coder flash | qwen | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 livetranslate flash | qwen3 livetranslate flash | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 livetranslate flash realtime | qwen3 livetranslate flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 omni flash realtime | qwen3 omni flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 s2s flash realtime 2025 09 22 | qwen3 s2s flash realtime 2025 09 22 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 tts flash realtime | qwen3 tts flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 tts instruct flash realtime | qwen3 tts instruct flash realtime | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 tts vc realtime 2025 11 27 | qwen3 tts vc realtime 2025 11 27 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| qwen3 tts vd realtime 2025 12 16 | qwen3 tts vd realtime 2025 12 16 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen3-Omni Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen3-TTS Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Qwen3-VL Flash | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| siliconflow · deepseek-r1-0528 | siliconflow | ₽6 285/M | ₽6 285/M | ₽157 136 |
| siliconflow · deepseek-v3-0324 | siliconflow | ₽6 285/M | ₽6 285/M | ₽157 136 |
| siliconflow · deepseek-v3.1-terminus | siliconflow | ₽6 285/M | ₽6 285/M | ₽157 136 |
| siliconflow · deepseek-v3.2 | siliconflow | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Sora | sora | ₽6 285/M | ₽6 285/M | ₽157 136 |
| sora 2 panopticon | sora 2 panopticon | ₽6 285/M | ₽6 285/M | ₽157 136 |
| tongyi xiaomi analysis flash | tongyi xiaomi analysis flash | ₽6 285/M | ₽6 285/M | ₽157 136 |
| tongyi xiaomi analysis pro | tongyi xiaomi analysis pro | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Veo 2.0 Generate 001 | veo 2.0 generate 001 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Whisper | openai | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Z-Image Turbo | alibaba | ₽6 285/M | ₽6 285/M | ₽157 136 |
| gpt 4.5 preview | gpt 4.5 preview | ₽6 285/M | ₽12 571/M | ₽188 563 |
| gpt 4v | gpt 4v | ₽6 285/M | ₽12 571/M | ₽188 563 |
| Claude Opus 4 | claude opus 4 | ₽4 400/M | ₽21 999/M | ₽197 991 |
| deepseek r1 distill llama 70b | deepseek | ₽6 285/M | ₽25 142/M | ₽251 417 |
| deepseek r1 distill llama 8b | deepseek r1 distill llama 8b | ₽6 285/M | ₽25 142/M | ₽251 417 |
| gemini robotics er 1.5 preview | gemini robotics er 1.5 preview | ₽6 285/M | ₽25 142/M | ₽251 417 |
| Omni Moderation | omni moderation latest | ₽21 999/M | ₽21 999/M | ₽549 976 |
| gpt audio mini | openai | ₽31 427/M | ₽31 427/M | ₽785 679 |
| text embedding 3 large 1 | text embedding 3 large 1 | ₽31 427/M | ₽31 427/M | ₽785 679 |
| text embedding 3 small 1 | text embedding 3 small 1 | ₽31 427/M | ₽31 427/M | ₽785 679 |
| text embedding ada 002 2 | text embedding ada 002 2 | ₽31 427/M | ₽31 427/M | ₽785 679 |
| gpt 4o 64k output alpha | gpt 4o 64k output alpha | ₽21 999/M | ₽87 996/M | ₽879 961 |
| grok 2 | grok 2 | ₽15 085/M | ₽452 551/M | ₽2 564 457 |
Изображения
за изображение · 16
▼
Изображения
за изображение · 16
| Модель | Maker | Цена |
|---|---|---|
| DALL E 3 | DALL E 3 | ₽0.0034/изобр. |
| Flux | flux | ₽0.84/изобр. |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽3.35/изобр. |
| flux.1 kontext pro | flux.1 kontext pro | ₽3.35/изобр. |
| gemini 2.0 flash exp image | gemini 2.0 flash exp image | ₽3.35/изобр. |
| gemini 2.0 flash preview image generation | gemini 2.0 flash preview image generation | ₽3.35/изобр. |
| gemini 2.5 flash image | ₽3.35/изобр. | |
| Dall E 2 | dall e 2 | ₽4.69/изобр. |
| gpt 4o image | gpt 4o image | ₽5.03/изобр. |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate 001 | ₽5.03/изобр. |
| gpt image 2 vip c | gpt image 2 vip c | ₽10.06/изобр. |
| gemini 3.1 flash image preview c | gemini 3.1 flash image preview c | ₽12.65/изобр. |
| grok 2 image | grok 2 image | ₽17.60/изобр. |
| grok 2 image 1212 | grok 2 image 1212 | ₽17.60/изобр. |
| gemini 3 pro image preview c | gemini 3 pro image preview c | ₽20.11/изобр. |
| doubao seedream 3 0 t2i 250415 | doubao seedream 3 0 t2i 250415 | ₽21.71/изобр. |
За запрос
фиксированная цена за вызов · 42
▼
За запрос
фиксированная цена за вызов · 42
| Модель | Maker | Цена |
|---|---|---|
| Fileupload | fileupload | ₽0.08/вызов |
| stable diffusion | stable diffusion | ₽0.08/вызов |
| stable diffusion 3 2b | stable diffusion 3 2b | ₽0.17/вызов |
| llama 3.2 1b:free | meta llama | ₽0.42/вызов |
| sd3.5 medium | sd3.5 medium | ₽0.42/вызов |
| llama 3.2 90b vision | llama 3.2 90b vision | ₽1.68/вызов |
| mj_describe | mj_describe | ₽4.19/вызов |
| mj_upscale | mj_upscale | ₽4.19/вызов |
| gpt 4 gizmo * | gpt 4 gizmo * | ₽5.03/вызов |
| GPT-4o | gpt 4o | ₽5.03/вызов |
| grok 3 deepsearch | grok 3 deepsearch | ₽8.38/вызов |
| grok 3 reasoner | grok 3 reasoner | ₽8.38/вызов |
| luma video | luma video | ₽8.38/вызов |
| mj_blend | mj_blend | ₽8.38/вызов |
| mj_high_variation | mj_high_variation | ₽8.38/вызов |
| mj_imagine | mj_imagine | ₽8.38/вызов |
| mj_low_variation | mj_low_variation | ₽8.38/вызов |
| mj_modal | mj_modal | ₽8.38/вызов |
| mj_pan | mj_pan | ₽8.38/вызов |
| mj_reroll | mj_reroll | ₽8.38/вызов |
| mj_shorten | mj_shorten | ₽8.38/вызов |
| mj_variation | mj_variation | ₽8.38/вызов |
| mj_zoom | mj_zoom | ₽8.38/вызов |
| sd3.5 large | sd3.5 large | ₽8.38/вызов |
| sd3.5 large turbo | sd3.5 large turbo | ₽8.38/вызов |
| Sora 2 | Sora 2 | ₽8.38/вызов |
| o3 mini high | openai | ₽12.57/вызов |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽16.76/вызов |
| Sora 2 Pro | sora 2 pro | ₽25.14/вызов |
| Suno | suno | ₽25.14/вызов |
| Suno v3.5 | Suno v3.5 | ₽25.14/вызов |
| mj chat | mj chat | ₽41.90/вызов |
| O1 | o1 | ₽41.90/вызов |
| pika text to video | pika text to video | ₽50.28/вызов |
| o1 pro | openai | ₽101/вызов |
| advanced voice | advanced voice | ₽168/вызов |
| luma vip video | luma vip video | ₽201/вызов |
| luma pro video | luma pro video | ₽268/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽838/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽838/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽838/вызов |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽838/вызов |
Без публичной цены
нет данных в открытых источниках · 2
▼
Без публичной цены
нет данных в открытых источниках · 2
| Модель | Maker | Примечание |
|---|---|---|
| mj_custom_zoom | mj_custom_zoom | — |
| mj_inpaint | mj_inpaint | — |
О провайдере
Как сравнивать на AI-APISHKA
Сравнивайте с ggwk1 и QuickRouter. Если у модели в кабинете нет группы free, ориентируйтесь на default, а не на цифру «почти ноль» у нас.
Частые вопросы
- Какой адрес API?
- https://zen-ai.top/v1. Документация: https://zen-ai-doc.apifox.cn/
- Почему GPT-4o у вас почти бесплатный?
- Потому что у модели есть группа free. Мы берём самую низкую доступную ставку. Обычный ключ, скорее всего, на default или vip — там цена другая.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
ZEN-AI предлагает 424 моделей AI API. Средняя цена — ₽3 627/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.0017/M (text embedding 3 small).
Сравните цены на DALL E 3 , text embedding 3 small , Fileupload , stable diffusion и stable diffusion 3 2b у других провайдеров или в каталоге агрегаторов . Данные обновлены 14.08.2026.