V-API
Сайт ↗V-API (gpt.ge) — 611 моделей OneAPI, Claude-группы и per-call image
- Моделей
- 419
- Средняя цена
- ₽509/M
- Регион
- Зарубежный · сайт на китайский
- Оплата
- USD (доллары), Pay-as-you-go
- Биллинг
- за токены
- API
- OpenAI-compatible
Ratio pricing — см. блок «Как считаются цены» · GET /v1/models требует API-ключ (401) · Много per-call моделей — $/1M summary может быть N/A; смотрите per_image/per_call
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
419 моделей
Текст и чат
оплата за токены · 203
▼
Текст и чат
оплата за токены · 203
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| GLM 4 Flash | glm 4 flash | ₽0.78/M | ₽0.78/M | ₽19 |
| glm 4.5 flash | glm 4.5 flash | ₽0.78/M | ₽0.78/M | ₽19 |
| text embedding 3 small | openai | ₽3.12/M | ₽3.12/M | ₽78 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽3.90/M | ₽15.59/M | ₽156 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽195 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽253 |
| Qwen Turbo | qwen turbo | ₽9.35/M | ₽18.71/M | ₽281 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| Qwen3 VL Flash | qwen3 vl flash | ₽4.68/M | ₽46.77/M | ₽327 |
| Qwen3 4B | qwen3 4b | ₽9.35/M | ₽37.42/M | ₽374 |
| Text Embedding V1 | text embedding 004 | ₽15.59/M | ₽15.59/M | ₽390 |
| Qwen3.5 Flash | qwen3.5 flash | ₽6.24/M | ₽62.37/M | ₽437 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽17.54/M | ₽17.54/M | ₽439 |
| Gemini Flash-Lite Latest | gemini flash lite latest nothinking | ₽11.69/M | ₽46.77/M | ₽468 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| gemini 3.1 flash lite | ₽9.74/M | ₽58.47/M | ₽487 | |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽7.80/M | ₽77.96/M | ₽546 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽18.71/M | ₽37.42/M | ₽561 |
| qwen3 8b | qwen | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3 vl 8b instruct | qwen | ₽15.59/M | ₽62.37/M | ₽624 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽11.69/M | ₽97.45/M | ₽721 |
| Qwen Mt Turbo | qwen mt turbo | ₽21.83/M | ₽60.81/M | ₽741 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| gpt 5.4 nano high | gpt 5.4 nano high | ₽15.59/M | ₽97.45/M | ₽799 |
| gpt 5.4 nano low | gpt 5.4 nano low | ₽15.59/M | ₽97.45/M | ₽799 |
| gpt 5.4 nano medium | gpt 5.4 nano medium | ₽15.59/M | ₽97.45/M | ₽799 |
| gpt 5.4 nano xhigh | gpt 5.4 nano xhigh | ₽15.59/M | ₽97.45/M | ₽799 |
| Qwen Plus | qwen plus | ₽24.95/M | ₽62.37/M | ₽811 |
| doubao embedding text | doubao embedding text | ₽27.28/M | ₽68.21/M | ₽887 |
| qwen3 30b a3b | qwen | ₽23.39/M | ₽93.55/M | ₽935 |
| qwen3 30b a3b instruct 2507 | qwen | ₽23.39/M | ₽93.55/M | ₽935 |
| qwen3 vl 30b a3b instruct | qwen | ₽23.39/M | ₽93.55/M | ₽935 |
| Gemini 3 Flash | gemini 3 flash | ₽19.49/M | ₽117/M | ₽974 |
| glm 4.5 air | z ai | ₽31.18/M | ₽77.96/M | ₽1 013 |
| gte rerank | gte rerank | ₽43.66/M | ₽43.66/M | ₽1 091 |
| Qwen Long | qwen long | ₽27.28/M | ₽109/M | ₽1 091 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽31.18/M | ₽93.55/M | ₽1 091 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽31.18/M | ₽93.55/M | ₽1 091 |
| qwen3 rerank | qwen3 rerank | ₽27.28/M | ₽109/M | ₽1 091 |
| qwen3.5 27b | qwen | ₽18.71/M | ₽150/M | ₽1 123 |
| gpt 5 mini high | gpt 5 mini high | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 5 mini low | gpt 5 mini low | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 5 mini medium | gpt 5 mini medium | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 5 mini minimal | gpt 5 mini minimal | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽27.28/M | ₽136/M | ₽1 228 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 14b | qwen | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 coder flash | qwen | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3.5 plus | qwen3.5 plus | ₽24.95/M | ₽150/M | ₽1 247 |
| qwq plus | qwq plus | ₽49.89/M | ₽49.89/M | ₽1 247 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽43.66/M | ₽109/M | ₽1 419 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽43.66/M | ₽109/M | ₽1 419 |
| gemini 3.1 flash lite image | ₽29.23/M | ₽175/M | ₽1 462 | |
| Google Nano Banana Lite | ₽29.23/M | ₽175/M | ₽1 462 | |
| gpt 5.4 mini | openai | ₽29.23/M | ₽175/M | ₽1 462 |
| qwen vl plus | qwen vl plus | ₽46.77/M | ₽117/M | ₽1 520 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽49.89/M | ₽125/M | ₽1 622 |
| qwen3.5 397b a17b | qwen | ₽37.42/M | ₽225/M | ₽1 871 |
| gpt 5.6 luna | openai | ₽38.98/M | ₽234/M | ₽1 949 |
| Qwen Mt Plus | qwen mt plus | ₽56.13/M | ₽168/M | ₽1 965 |
| gemini 2.5 flash image | ₽35.08/M | ₽292/M | ₽2 163 | |
| ge 2.5 flash | ge 2.5 flash | ₽35.08/M | ₽292/M | ₽2 163 |
| Gemini Flash Latest | gemini flash latest | ₽35.08/M | ₽292/M | ₽2 163 |
| qwen math turbo | qwen math turbo | ₽62.37/M | ₽187/M | ₽2 183 |
| Qwen2.5 32B Instruct | Qwen | ₽62.37/M | ₽187/M | ₽2 183 |
| Qwen3 VL Plus | qwen3 vl plus | ₽31.18/M | ₽312/M | ₽2 183 |
| gpt 5 mini:flex | openai | ₽38.98/M | ₽312/M | ₽2 339 |
| claude sonnet 5 | anthropic | ₽54.57/M | ₽273/M | ₽2 456 |
| qwen3 235b a22b | qwen | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen3 32b | qwen | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen3 vl 32b instruct | qwen | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen3.7 plus | qwen | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen tts | qwen tts | ₽49.89/M | ₽312/M | ₽2 557 |
| glm 4.5v | z ai | ₽77.96/M | ₽234/M | ₽2 728 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽48.72/M | ₽390/M | ₽2 923 |
| gemini 3.1 flash image | ₽58.47/M | ₽351/M | ₽2 923 | |
| gemini 3.1 flash image 0.5k | gemini 3.1 flash image 0.5k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image 2k | gemini 3.1 flash image 2k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image 4k | gemini 3.1 flash image 4k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image preview 0.5k | gemini 3.1 flash image preview 0.5k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image preview 2k | gemini 3.1 flash image preview 2k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image preview 4k | gemini 3.1 flash image preview 4k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.5 flash | ₽58.47/M | ₽351/M | ₽2 923 | |
| gpt 5.4 mini high | gpt 5.4 mini high | ₽58.47/M | ₽351/M | ₽2 923 |
| gpt 5.4 mini low | gpt 5.4 mini low | ₽58.47/M | ₽351/M | ₽2 923 |
| gpt 5.4 mini medium | gpt 5.4 mini medium | ₽58.47/M | ₽351/M | ₽2 923 |
| gpt 5.4 mini xhigh | gpt 5.4 mini xhigh | ₽58.47/M | ₽351/M | ₽2 923 |
| nano banana 2 0.5k | nano banana 2 0.5k | ₽58.47/M | ₽351/M | ₽2 923 |
| nano banana 2 2k | nano banana 2 2k | ₽58.47/M | ₽351/M | ₽2 923 |
| nano banana 2 4k | nano banana 2 4k | ₽58.47/M | ₽351/M | ₽2 923 |
| Sonar | perplexity | ₽117/M | ₽117/M | ₽2 923 |
| Qwen Max | qwen max | ₽74.84/M | ₽299/M | ₽2 994 |
| qwen vl max | qwen vl max | ₽93.55/M | ₽234/M | ₽3 040 |
| glm 4.5 | z ai | ₽77.96/M | ₽312/M | ₽3 118 |
| gpt 3.5 turbo | openai | ₽117/M | ₽156/M | ₽3 118 |
| qwen coder plus | qwen coder plus | ₽109/M | ₽218/M | ₽3 274 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| o4 mini high | openai | ₽85.75/M | ₽343/M | ₽3 430 |
| o4 mini low | o4 mini low | ₽85.75/M | ₽343/M | ₽3 430 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽81.85/M | ₽409/M | ₽3 683 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽81.85/M | ₽409/M | ₽3 683 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽43.66/M | ₽582/M | ₽3 783 |
| Gemini 3 Pro | gemini 3 pro | ₽77.96/M | ₽468/M | ₽3 898 |
| gemini 3 pro preview low | gemini 3 pro preview low | ₽77.96/M | ₽468/M | ₽3 898 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽77.96/M | ₽468/M | ₽3 898 |
| gemini 3.1 pro preview high | gemini 3.1 pro preview high | ₽77.96/M | ₽468/M | ₽3 898 |
| gemini 3.1 pro preview low | gemini 3.1 pro preview low | ₽77.96/M | ₽468/M | ₽3 898 |
| Qwen3 Max | qwen3 max | ₽99.78/M | ₽399/M | ₽3 991 |
| qwen math plus | qwen math plus | ₽125/M | ₽374/M | ₽4 366 |
| gpt 5.4 | openai | ₽97.45/M | ₽585/M | ₽4 872 |
| GPT 5.4 High | gpt 5.4 high | ₽97.45/M | ₽585/M | ₽4 872 |
| GPT 5.4 Low | gpt 5.4 low | ₽97.45/M | ₽585/M | ₽4 872 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽97.45/M | ₽585/M | ₽4 872 |
| gpt 5.6 terra | openai | ₽97.45/M | ₽585/M | ₽4 872 |
| qwen3 coder plus | qwen | ₽125/M | ₽499/M | ₽4 989 |
| qwen vl ocr | qwen vl ocr | ₽156/M | ₽390/M | ₽5 067 |
| sonar reasoning | sonar reasoning | ₽117/M | ₽585/M | ₽5 262 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽213/M | ₽213/M | ₽5 321 |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 high | gpt 5 high | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 low | gpt 5 low | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 medium | gpt 5 medium | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 minimal | gpt 5 minimal | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5:flex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| claude opus 4 7 xhigh | claude opus 4 7 xhigh | ₽136/M | ₽682/M | ₽6 139 |
| claude opus 4 8 xhigh | claude opus 4 8 xhigh | ₽136/M | ₽682/M | ₽6 139 |
| Claude Opus 4.5 | claude opus 4 5 | ₽136/M | ₽682/M | ₽6 139 |
| Claude Opus 4.6 | claude opus 4 6 | ₽136/M | ₽682/M | ₽6 139 |
| Claude Opus 4.7 | claude opus 4 7 | ₽136/M | ₽682/M | ₽6 139 |
| claude opus 4.8 | anthropic | ₽136/M | ₽682/M | ₽6 139 |
| gpt 3.5 turbo 16k | openai | ₽234/M | ₽312/M | ₽6 237 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| O3 | o3 | ₽156/M | ₽624/M | ₽6 237 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽187/M | ₽561/M | ₽6 548 |
| qwen3.7 max | qwen | ₽187/M | ₽561/M | ₽6 548 |
| ge 2.5 pro | ge 2.5 pro | ₽117/M | ₽935/M | ₽7 016 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽58.47/M | ₽1 169/M | ₽7 016 |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| sonar deep research | perplexity | ₽195/M | ₽780/M | ₽7 796 |
| sonar reasoning pro | perplexity | ₽195/M | ₽780/M | ₽7 796 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| glm 5 turbo | z ai | ₽195/M | ₽858/M | ₽8 185 |
| glm 5v turbo | z ai | ₽195/M | ₽858/M | ₽8 185 |
| Gemini Pro | gemini pro | ₽146/M | ₽1 169/M | ₽8 770 |
| gpt 5.4 medium | gpt 5.4 medium | ₽195/M | ₽1 169/M | ₽9 745 |
| gpt 5.5 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| gpt 5.6 sol | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| doubao seedance 1 5 pro 251215_false | doubao seedance 1 5 pro 251215_false | ₽405/M | ₽405/M | ₽10 134 |
| kimi k2.7 code | moonshotai | ₽253/M | ₽1 052/M | ₽10 329 |
| gemini 3 pro image | ₽234/M | ₽1 403/M | ₽11 694 | |
| gemini 3 pro image 2k | gemini 3 pro image 2k | ₽234/M | ₽1 403/M | ₽11 694 |
| gemini 3 pro image 4k | gemini 3 pro image 4k | ₽234/M | ₽1 403/M | ₽11 694 |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽234/M | ₽1 403/M | ₽11 694 |
| gemini 3 pro image preview 4k | gemini 3 pro image preview 4k | ₽234/M | ₽1 403/M | ₽11 694 |
| Moonshot V1 8K | moonshot v1 8k | ₽468/M | ₽468/M | ₽11 694 |
| nano banana pro 2k | nano banana pro 2k | ₽234/M | ₽1 403/M | ₽11 694 |
| nano banana pro 4k | nano banana pro 4k | ₽234/M | ₽1 403/M | ₽11 694 |
| sonar pro | perplexity | ₽273/M | ₽1 364/M | ₽12 278 |
| DeepSeek R1 | deepseek r1 | ₽312/M | ₽1 247/M | ₽12 473 |
| doubao seedance 1 0 lite i2v 250428 | doubao seedance 1 0 lite i2v 250428 | ₽507/M | ₽507/M | ₽12 668 |
| doubao seedance 1 0 lite t2v 250428 | doubao seedance 1 0 lite t2v 250428 | ₽507/M | ₽507/M | ₽12 668 |
| claude opus 4 7 minimal | claude opus 4 7 minimal | ₽312/M | ₽1 559/M | ₽14 032 |
| gpt 5.2 chat | openai | ₽273/M | ₽2 183/M | ₽16 371 |
| qwen2.5 vl 72b instruct | qwen | ₽499/M | ₽1 497/M | ₽17 462 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽146/M | ₽2 923/M | ₽17 540 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽760/M | ₽760/M | ₽19 002 |
| Moonshot V1 32K | moonshot v1 32k | ₽780/M | ₽780/M | ₽19 489 |
| doubao seedance 1 5 pro 251215_true | doubao seedance 1 5 pro 251215_true | ₽811/M | ₽811/M | ₽20 269 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽811/M | ₽811/M | ₽20 269 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽507/M | ₽2 105/M | ₽20 659 |
| claude fable 5 | anthropic | ₽624/M | ₽3 118/M | ₽28 064 |
| tts 1 | openai | ₽1 169/M | ₽1 169/M | ₽29 234 |
| glm 5 code | glm 5 code | ₽2 339/M | ₽2 339/M | ₽58 468 |
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽2 339/M | ₽2 339/M | ₽58 468 |
| tts 1 hd | openai | ₽2 339/M | ₽2 339/M | ₽58 468 |
| gpt image 1.5 | openai | ₽1 871/M | ₽7 484/M | ₽74 839 |
| Moonshot V1 128K | moonshot v1 128k | ₽3 118/M | ₽3 118/M | ₽77 957 |
| gpt image 1 | openai | ₽2 183/M | ₽8 731/M | ₽87 312 |
| whisper 1 | openai | ₽4 677/M | ₽4 677/M | ₽93 548 |
| Qwen3 TTS Flash | alibaba | ₽4 366/M | ₽4 366/M | ₽109 140 |
| Flux 2 Dev | black forest labs | ₽4 677/M | ₽4 677/M | ₽116 935 |
| Flux 2 Pro | black forest labs | ₽4 677/M | ₽4 677/M | ₽116 935 |
| FLUX.2 [flex] | black forest labs | ₽4 677/M | ₽4 677/M | ₽116 935 |
| FLUX.2 [max] | black forest labs | ₽4 677/M | ₽4 677/M | ₽116 935 |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v1 5_image2image | kling image_kling v1 5_image2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v1 5_text2image | kling image_kling v1 5_text2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v1_image2image | kling image_kling v1_image2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v1_text2image | kling image_kling v1_text2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v2_text2image | kling image_kling v2_text2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling virtual_try_on | kling virtual_try_on | ₽4 677/M | ₽4 677/M | ₽116 935 |
| minimax m2.1 | minimax | ₽4 677/M | ₽4 677/M | ₽116 935 |
| minimax m2.5 | minimax | ₽4 677/M | ₽4 677/M | ₽116 935 |
| minimax m2.7 | minimax | ₽4 677/M | ₽4 677/M | ₽116 935 |
| gpt 5 pro | openai | ₽2 339/M | ₽18 710/M | ₽140 322 |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate exp 05 20 | ₽7 016/M | ₽7 016/M | ₽175 403 |
Изображения
за изображение · 19
▼
Изображения
за изображение · 19
| Модель | Maker | Цена |
|---|---|---|
| gi image moderation | gi image moderation | ₽0.02/изобр. |
| Flux | flux | ₽1.17/изобр. |
| Flux Schnell | Flux Schnell | ₽1.17/изобр. |
| gpt image 2 c | gpt image 2 c | ₽3.12/изобр. |
| Flux Dev | Flux Dev | ₽4.37/изобр. |
| Flux pro | flux pro | ₽5.85/изобр. |
| Flux 1 Schnell | black forest labs | ₽9.35/изобр. |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽9.35/изобр. |
| gpt image 2 | gpt image 2 | ₽9.35/изобр. |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽10.13/изобр. |
| flux pro max | flux pro max | ₽10.52/изобр. |
| jimeng_seedream46_cvtob | jimeng_seedream46_cvtob | ₽11.15/изобр. |
| flux kontext pro | flux kontext pro | ₽12.47/изобр. |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽12.67/изобр. |
| Qwen Image | alibaba | ₽12.67/изобр. |
| doubao seedream 3 0 t2i 250415 | doubao seedream 3 0 t2i 250415 | ₽13.12/изобр. |
| Qwen Image Edit | alibaba | ₽15.20/изобр. |
| Flux pro 1.1 ultra | flux pro 1 1 ultra | ₽18.71/изобр. |
| Flux Kontext Max | flux kontext max | ₽24.95/изобр. |
За запрос
фиксированная цена за вызов · 185
▼
За запрос
фиксированная цена за вызов · 185
| Модель | Maker | Цена |
|---|---|---|
| gi semantic moderation | gi semantic moderation | ₽0.0078/вызов |
| moark text moderation | moark text moderation | ₽0.02/вызов |
| bce embedding base_v1 | bce embedding base_v1 | ₽0.08/вызов |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.08/вызов |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽0.08/вызов |
| Bge Large Zh V1.5 | BAAI | ₽0.12/вызов |
| Bge M3 | baai | ₽0.16/вызов |
| Grok 3 | grok 3 | ₽0.62/вызов |
| mj_fast_upload | mj_fast_upload | ₽0.62/вызов |
| mj_turbo_upload | mj_turbo_upload | ₽0.62/вызов |
| DeepSeek R1 Distill Qwen 1.5B | DeepSeek R1 Distill Qwen 1.5B | ₽0.78/вызов |
| deepseek r1 distill qwen 7b | deepseek r1 distill qwen 7b | ₽0.78/вызов |
| Fin R1 | Fin R1 | ₽0.78/вызов |
| gi ocr | gi ocr | ₽0.78/вызов |
| HealthGPT L14 | HealthGPT L14 | ₽0.78/вызов |
| Kolors | Kolors | ₽0.78/вызов |
| mj_relax_upload | mj_relax_upload | ₽0.78/вызов |
| SenseVoiceSmall | SenseVoiceSmall | ₽0.78/вызов |
| suno act stems | suno act stems | ₽0.78/вызов |
| suno act tags | suno act tags | ₽0.78/вызов |
| suno actions | suno actions | ₽0.78/вызов |
| suno_concat | suno_concat | ₽0.78/вызов |
| suno_lyrics | suno_lyrics | ₽0.78/вызов |
| suno_upload | suno_upload | ₽0.78/вызов |
| whisper base | whisper base | ₽0.78/вызов |
| whisper large | whisper large | ₽0.94/вызов |
| Whisper Large V3 Turbo | openai | ₽0.94/вызов |
| deepseek r1 distill qwen 14b | deepseek r1 distill qwen 14b | ₽1.17/вызов |
| internvl3 38b | internvl3 38b | ₽1.17/вызов |
| stable-diffusion-xl-base-1.0 | stabilityai | ₽1.17/вызов |
| ChatTTS | ChatTTS | ₽1.25/вызов |
| CosyVoice2 | CosyVoice2 | ₽1.25/вызов |
| fish speech 1.2 sft | fish speech 1.2 sft | ₽1.25/вызов |
| FunAudioLLM CosyVoice 300M | FunAudioLLM CosyVoice 300M | ₽1.25/вызов |
| MegaTTS3 | MegaTTS3 | ₽1.25/вызов |
| Step Audio TTS 3B | Step Audio TTS 3B | ₽1.25/вызов |
| gi pdf parse | gi pdf parse | ₽1.40/вызов |
| gpt oss 120b | openai | ₽1.40/вызов |
| deepseek coder 33b instruct | deepseek coder 33b instruct | ₽1.56/вызов |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽1.56/вызов |
| deepseek v4 flash | deepseek | ₽1.56/вызов |
| DeepSeek-OCR 2 | deepseek | ₽1.56/вызов |
| Hunyuan3D 2 | Hunyuan3D 2 | ₽1.56/вызов |
| mj_relax_describe | mj_relax_describe | ₽1.56/вызов |
| mj_relax_upscale | mj_relax_upscale | ₽1.56/вызов |
| qwen 2.5 72b instruct | qwen | ₽1.56/вызов |
| Qwen2.5 VL 32B Instruct | Qwen | ₽1.56/вызов |
| qwen3.5 122b a10b | qwen | ₽1.56/вызов |
| qwen3.5 35b a3b | qwen | ₽1.56/вызов |
| qwen3.6 35b a3b | qwen | ₽1.56/вызов |
| stable diffusion 3 medium | stable diffusion 3 medium | ₽1.56/вызов |
| suno act midi | suno act midi | ₽1.56/вызов |
| DeepSeek V3 | deepseek search | ₽1.95/вызов |
| deepseek v3.2 | deepseek | ₽1.95/вызов |
| ERNIE 4.5 Turbo | ernie 4.5 turbo | ₽1.95/вызов |
| ERNIE X1 Turbo | ernie x1 turbo | ₽1.95/вызов |
| Grok 4 | grok 4 | ₽1.95/вызов |
| grok 4.1 | grok 4.1 | ₽1.95/вызов |
| grok 4.2 | grok 4.2 | ₽1.95/вызов |
| InternVL2.5 26B | InternVL2.5 26B | ₽1.95/вызов |
| stable diffusion 3.5 large turbo | stable diffusion 3.5 large turbo | ₽1.95/вызов |
| InternVL2.5 78B | InternVL2.5 78B | ₽2.34/вызов |
| InternVL3 78B | InternVL3 78B | ₽2.34/вызов |
| DeepSeek-V3.1 | deepseek v3 1 | ₽3.12/вызов |
| glm 4.6 | z ai | ₽3.12/вызов |
| glm 4.7 | z ai | ₽3.12/вызов |
| GLM-5 | glm 5 | ₽3.12/вызов |
| Hi3DGen | Hi3DGen | ₽3.12/вызов |
| mj_relax_blend | mj_relax_blend | ₽3.12/вызов |
| mj_relax_edits | mj_relax_edits | ₽3.12/вызов |
| mj_relax_high_variation | mj_relax_high_variation | ₽3.12/вызов |
| mj_relax_imagine | mj_relax_imagine | ₽3.12/вызов |
| mj_relax_low_variation | mj_relax_low_variation | ₽3.12/вызов |
| mj_relax_modal | mj_relax_modal | ₽3.12/вызов |
| mj_relax_pan | mj_relax_pan | ₽3.12/вызов |
| mj_relax_reroll | mj_relax_reroll | ₽3.12/вызов |
| mj_relax_shorten | mj_relax_shorten | ₽3.12/вызов |
| mj_relax_variation | mj_relax_variation | ₽3.12/вызов |
| mj_relax_zoom | mj_relax_zoom | ₽3.12/вызов |
| qwen3 235b a22b c | qwen3 235b a22b c | ₽3.12/вызов |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽3.12/вызов |
| Step1X 3D | Step1X 3D | ₽3.12/вызов |
| mj_fast_describe | mj_fast_describe | ₽3.51/вызов |
| mj_fast_upscale | mj_fast_upscale | ₽3.51/вызов |
| pic colorization | pic colorization | ₽3.90/вызов |
| pic idphoto | pic idphoto | ₽3.90/вызов |
| pic ocr | pic ocr | ₽3.90/вызов |
| pic segmentation | pic segmentation | ₽3.90/вызов |
| pic watermark | pic watermark | ₽3.90/вызов |
| swap_face | swap_face | ₽3.90/вызов |
| mj_turbo_describe | mj_turbo_describe | ₽4.68/вызов |
| mj_turbo_upscale | mj_turbo_upscale | ₽4.68/вызов |
| deepseek v4 pro | deepseek | ₽6.24/вызов |
| glm 5.1 | z ai | ₽6.24/вызов |
| glm 5.2 | z ai | ₽6.24/вызов |
| grok 3 deepersearch | grok 3 deepersearch | ₽6.24/вызов |
| grok 3 deepsearch | grok 3 deepsearch | ₽6.24/вызов |
| grok 3 reasoner | grok 3 reasoner | ₽6.24/вызов |
| Kimi K2.5 | kimi k2.5 | ₽6.24/вызов |
| kimi k2.6 | moonshotai | ₽6.24/вызов |
| mj_fast_pan | mj_fast_pan | ₽6.24/вызов |
| O3 Mini | o3 mini | ₽6.24/вызов |
| qwen3.6 plus | qwen | ₽6.24/вызов |
| Wan 2.2 Flash | alibaba | ₽7.09/вызов |
| mj_fast_blend | mj_fast_blend | ₽7.80/вызов |
| mj_fast_edits | mj_fast_edits | ₽7.80/вызов |
| mj_fast_high_variation | mj_fast_high_variation | ₽7.80/вызов |
| mj_fast_imagine | mj_fast_imagine | ₽7.80/вызов |
| mj_fast_low_variation | mj_fast_low_variation | ₽7.80/вызов |
| mj_fast_modal | mj_fast_modal | ₽7.80/вызов |
| mj_fast_reroll | mj_fast_reroll | ₽7.80/вызов |
| mj_fast_shorten | mj_fast_shorten | ₽7.80/вызов |
| mj_fast_variation | mj_fast_variation | ₽7.80/вызов |
| mj_fast_zoom | mj_fast_zoom | ₽7.80/вызов |
| O1 Mini | o1 mini | ₽7.80/вызов |
| pic watermark_auto | pic watermark_auto | ₽7.80/вызов |
| Wan 2.2 Plus | alibaba | ₽10.13/вызов |
| jimeng_t2i_v40 | jimeng_t2i_v40 | ₽11.15/вызов |
| viduq3 turbo_540p | viduq3 turbo_540p | ₽11.15/вызов |
| viduq3_540p | viduq3_540p | ₽11.15/вызов |
| pic background | pic background | ₽11.69/вызов |
| pic scale | pic scale | ₽11.69/вызов |
| o3 mini high | openai | ₽12.47/вызов |
| jimeng_i2v_first_tail_v30 | jimeng_i2v_first_tail_v30 | ₽14.19/вызов |
| jimeng_i2v_first_v30 | jimeng_i2v_first_v30 | ₽14.19/вызов |
| jimeng_i2v_recamera_v30 | jimeng_i2v_recamera_v30 | ₽14.19/вызов |
| jimeng_t2v_v30 | jimeng_t2v_v30 | ₽14.19/вызов |
| viduq3 pro_540p | viduq3 pro_540p | ₽14.29/вызов |
| doubao seededit 3 0 i2i 250628 | doubao seededit 3 0 i2i 250628 | ₽15.20/вызов |
| mj_turbo_blend | mj_turbo_blend | ₽15.59/вызов |
| mj_turbo_edits | mj_turbo_edits | ₽15.59/вызов |
| mj_turbo_high_variation | mj_turbo_high_variation | ₽15.59/вызов |
| mj_turbo_imagine | mj_turbo_imagine | ₽15.59/вызов |
| mj_turbo_low_variation | mj_turbo_low_variation | ₽15.59/вызов |
| mj_turbo_modal | mj_turbo_modal | ₽15.59/вызов |
| mj_turbo_pan | mj_turbo_pan | ₽15.59/вызов |
| mj_turbo_reroll | mj_turbo_reroll | ₽15.59/вызов |
| mj_turbo_shorten | mj_turbo_shorten | ₽15.59/вызов |
| mj_turbo_variation | mj_turbo_variation | ₽15.59/вызов |
| mj_turbo_zoom | mj_turbo_zoom | ₽15.59/вызов |
| viduq3 pro fast_720p | viduq3 pro fast_720p | ₽19.00/вызов |
| viduq3 turbo_720p | viduq3 turbo_720p | ₽19.00/вызов |
| viduq3_720p | viduq3_720p | ₽19.00/вызов |
| Qwen3.6 Max | Qwen3.6 Max | ₽19.49/вызов |
| viduq3 turbo_1080p | viduq3 turbo_1080p | ₽20.78/вызов |
| direct generate pptx | direct generate pptx | ₽23.39/вызов |
| ppt chat | ppt chat | ₽23.39/вызов |
| viduq3 pro fast_1080p | viduq3 pro fast_1080p | ₽23.82/вызов |
| viduq3_1080p | viduq3_1080p | ₽23.82/вызов |
| wan2.7 i2v_720P | wan2.7 i2v_720P | ₽30.40/вызов |
| wan2.7 r2v_720P | wan2.7 r2v_720P | ₽30.40/вызов |
| wan2.7 t2v_720P | wan2.7 t2v_720P | ₽30.40/вызов |
| wan2.7 videoedit_720P | wan2.7 videoedit_720P | ₽30.40/вызов |
| viduq3 pro_720p | viduq3 pro_720p | ₽31.67/вызов |
| jimeng_i2v_first_tail_v30_1080 | jimeng_i2v_first_tail_v30_1080 | ₽31.92/вызов |
| jimeng_i2v_first_v30_1080 | jimeng_i2v_first_v30_1080 | ₽31.92/вызов |
| jimeng_t2v_v30_1080p | jimeng_t2v_v30_1080p | ₽31.92/вызов |
| suno_music | suno_music | ₽35.08/вызов |
| viduq3 mix_720p | viduq3 mix_720p | ₽38.00/вызов |
| viduq3 pro_1080p | viduq3 pro_1080p | ₽38.00/вызов |
| O1 | o1 | ₽38.98/вызов |
| happyhorse 1.0 i2v_720P | happyhorse 1.0 i2v_720P | ₽45.60/вызов |
| happyhorse 1.0 r2v_720P | happyhorse 1.0 r2v_720P | ₽45.60/вызов |
| happyhorse 1.0 t2v_720P | happyhorse 1.0 t2v_720P | ₽45.60/вызов |
| happyhorse 1.0 video edit_720P | happyhorse 1.0 video edit_720P | ₽45.60/вызов |
| happyhorse 1.1 i2v_720P | happyhorse 1.1 i2v_720P | ₽45.60/вызов |
| happyhorse 1.1 r2v_720P | happyhorse 1.1 r2v_720P | ₽45.60/вызов |
| happyhorse 1.1 t2v_720P | happyhorse 1.1 t2v_720P | ₽45.60/вызов |
| viduq3 mix_1080p | viduq3 mix_1080p | ₽46.11/вызов |
| jimeng_ti2v_v30_pro | jimeng_ti2v_v30_pro | ₽50.67/вызов |
| wan2.7 i2v_1080P | wan2.7 i2v_1080P | ₽50.67/вызов |
| wan2.7 r2v_1080P | wan2.7 r2v_1080P | ₽50.67/вызов |
| wan2.7 t2v_1080P | wan2.7 t2v_1080P | ₽50.67/вызов |
| wan2.7 videoedit_1080P | wan2.7 videoedit_1080P | ₽50.67/вызов |
| o1 pro | openai | ₽54.57/вызов |
| happyhorse 1.0 i2v_1080P | happyhorse 1.0 i2v_1080P | ₽60.81/вызов |
| happyhorse 1.0 r2v_1080P | happyhorse 1.0 r2v_1080P | ₽60.81/вызов |
| happyhorse 1.0 t2v_1080P | happyhorse 1.0 t2v_1080P | ₽60.81/вызов |
| happyhorse 1.0 video edit_1080P | happyhorse 1.0 video edit_1080P | ₽60.81/вызов |
| happyhorse 1.1 i2v_1080P | happyhorse 1.1 i2v_1080P | ₽60.81/вызов |
| happyhorse 1.1 r2v_1080P | happyhorse 1.1 r2v_1080P | ₽60.81/вызов |
| happyhorse 1.1 t2v_1080P | happyhorse 1.1 t2v_1080P | ₽60.81/вызов |
| mj_fast_video | mj_fast_video | ₽62.37/вызов |
| mj_relax_video | mj_relax_video | ₽62.37/вызов |
| mj_turbo_video | mj_turbo_video | ₽125/вызов |
Без публичной цены
нет данных в открытых источниках · 12
▼
Без публичной цены
нет данных в открытых источниках · 12
| Модель | Maker | Примечание |
|---|---|---|
| mj_fast_custom_zoom | mj_fast_custom_zoom | — |
| mj_fast_inpaint | mj_fast_inpaint | — |
| mj_fast_pic_reader | mj_fast_pic_reader | — |
| mj_fast_prompt_analyzer | mj_fast_prompt_analyzer | — |
| mj_relax_custom_zoom | mj_relax_custom_zoom | — |
| mj_relax_inpaint | mj_relax_inpaint | — |
| mj_relax_pic_reader | mj_relax_pic_reader | — |
| mj_relax_prompt_analyzer | mj_relax_prompt_analyzer | — |
| mj_turbo_custom_zoom | mj_turbo_custom_zoom | — |
| mj_turbo_inpaint | mj_turbo_inpaint | — |
| mj_turbo_pic_reader | mj_turbo_pic_reader | — |
| mj_turbo_prompt_analyzer | mj_turbo_prompt_analyzer | — |
Текст и чат
оплата за токены · 203
▼
Текст и чат
оплата за токены · 203
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| GLM 4 Flash | glm 4 flash | ₽0.78/M | ₽0.78/M | ₽19 |
| glm 4.5 flash | glm 4.5 flash | ₽0.78/M | ₽0.78/M | ₽19 |
| text embedding 3 small | openai | ₽3.12/M | ₽3.12/M | ₽78 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽3.90/M | ₽15.59/M | ₽156 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽195 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽253 |
| Qwen Turbo | qwen turbo | ₽9.35/M | ₽18.71/M | ₽281 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| Qwen3 VL Flash | qwen3 vl flash | ₽4.68/M | ₽46.77/M | ₽327 |
| Qwen3 4B | qwen3 4b | ₽9.35/M | ₽37.42/M | ₽374 |
| Text Embedding V1 | text embedding 004 | ₽15.59/M | ₽15.59/M | ₽390 |
| Qwen3.5 Flash | qwen3.5 flash | ₽6.24/M | ₽62.37/M | ₽437 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽17.54/M | ₽17.54/M | ₽439 |
| Gemini Flash-Lite Latest | gemini flash lite latest nothinking | ₽11.69/M | ₽46.77/M | ₽468 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| gemini 3.1 flash lite | ₽9.74/M | ₽58.47/M | ₽487 | |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽7.80/M | ₽77.96/M | ₽546 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽18.71/M | ₽37.42/M | ₽561 |
| qwen3 8b | qwen | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3 vl 8b instruct | qwen | ₽15.59/M | ₽62.37/M | ₽624 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽11.69/M | ₽97.45/M | ₽721 |
| Qwen Mt Turbo | qwen mt turbo | ₽21.83/M | ₽60.81/M | ₽741 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| gpt 5.4 nano high | gpt 5.4 nano high | ₽15.59/M | ₽97.45/M | ₽799 |
| gpt 5.4 nano low | gpt 5.4 nano low | ₽15.59/M | ₽97.45/M | ₽799 |
| gpt 5.4 nano medium | gpt 5.4 nano medium | ₽15.59/M | ₽97.45/M | ₽799 |
| gpt 5.4 nano xhigh | gpt 5.4 nano xhigh | ₽15.59/M | ₽97.45/M | ₽799 |
| Qwen Plus | qwen plus | ₽24.95/M | ₽62.37/M | ₽811 |
| doubao embedding text | doubao embedding text | ₽27.28/M | ₽68.21/M | ₽887 |
| qwen3 30b a3b | qwen | ₽23.39/M | ₽93.55/M | ₽935 |
| qwen3 30b a3b instruct 2507 | qwen | ₽23.39/M | ₽93.55/M | ₽935 |
| qwen3 vl 30b a3b instruct | qwen | ₽23.39/M | ₽93.55/M | ₽935 |
| Gemini 3 Flash | gemini 3 flash | ₽19.49/M | ₽117/M | ₽974 |
| glm 4.5 air | z ai | ₽31.18/M | ₽77.96/M | ₽1 013 |
| gte rerank | gte rerank | ₽43.66/M | ₽43.66/M | ₽1 091 |
| Qwen Long | qwen long | ₽27.28/M | ₽109/M | ₽1 091 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽31.18/M | ₽93.55/M | ₽1 091 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽31.18/M | ₽93.55/M | ₽1 091 |
| qwen3 rerank | qwen3 rerank | ₽27.28/M | ₽109/M | ₽1 091 |
| qwen3.5 27b | qwen | ₽18.71/M | ₽150/M | ₽1 123 |
| gpt 5 mini high | gpt 5 mini high | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 5 mini low | gpt 5 mini low | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 5 mini medium | gpt 5 mini medium | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 5 mini minimal | gpt 5 mini minimal | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽27.28/M | ₽136/M | ₽1 228 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 14b | qwen | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 coder flash | qwen | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3.5 plus | qwen3.5 plus | ₽24.95/M | ₽150/M | ₽1 247 |
| qwq plus | qwq plus | ₽49.89/M | ₽49.89/M | ₽1 247 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽43.66/M | ₽109/M | ₽1 419 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽43.66/M | ₽109/M | ₽1 419 |
| gemini 3.1 flash lite image | ₽29.23/M | ₽175/M | ₽1 462 | |
| Google Nano Banana Lite | ₽29.23/M | ₽175/M | ₽1 462 | |
| gpt 5.4 mini | openai | ₽29.23/M | ₽175/M | ₽1 462 |
| qwen vl plus | qwen vl plus | ₽46.77/M | ₽117/M | ₽1 520 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽49.89/M | ₽125/M | ₽1 622 |
| qwen3.5 397b a17b | qwen | ₽37.42/M | ₽225/M | ₽1 871 |
| gpt 5.6 luna | openai | ₽38.98/M | ₽234/M | ₽1 949 |
| Qwen Mt Plus | qwen mt plus | ₽56.13/M | ₽168/M | ₽1 965 |
| gemini 2.5 flash image | ₽35.08/M | ₽292/M | ₽2 163 | |
| ge 2.5 flash | ge 2.5 flash | ₽35.08/M | ₽292/M | ₽2 163 |
| Gemini Flash Latest | gemini flash latest | ₽35.08/M | ₽292/M | ₽2 163 |
| qwen math turbo | qwen math turbo | ₽62.37/M | ₽187/M | ₽2 183 |
| Qwen2.5 32B Instruct | Qwen | ₽62.37/M | ₽187/M | ₽2 183 |
| Qwen3 VL Plus | qwen3 vl plus | ₽31.18/M | ₽312/M | ₽2 183 |
| gpt 5 mini:flex | openai | ₽38.98/M | ₽312/M | ₽2 339 |
| claude sonnet 5 | anthropic | ₽54.57/M | ₽273/M | ₽2 456 |
| qwen3 235b a22b | qwen | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen3 32b | qwen | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen3 vl 32b instruct | qwen | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen3.7 plus | qwen | ₽62.37/M | ₽249/M | ₽2 495 |
| qwen tts | qwen tts | ₽49.89/M | ₽312/M | ₽2 557 |
| glm 4.5v | z ai | ₽77.96/M | ₽234/M | ₽2 728 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽48.72/M | ₽390/M | ₽2 923 |
| gemini 3.1 flash image | ₽58.47/M | ₽351/M | ₽2 923 | |
| gemini 3.1 flash image 0.5k | gemini 3.1 flash image 0.5k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image 2k | gemini 3.1 flash image 2k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image 4k | gemini 3.1 flash image 4k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image preview 0.5k | gemini 3.1 flash image preview 0.5k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image preview 2k | gemini 3.1 flash image preview 2k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.1 flash image preview 4k | gemini 3.1 flash image preview 4k | ₽58.47/M | ₽351/M | ₽2 923 |
| gemini 3.5 flash | ₽58.47/M | ₽351/M | ₽2 923 | |
| gpt 5.4 mini high | gpt 5.4 mini high | ₽58.47/M | ₽351/M | ₽2 923 |
| gpt 5.4 mini low | gpt 5.4 mini low | ₽58.47/M | ₽351/M | ₽2 923 |
| gpt 5.4 mini medium | gpt 5.4 mini medium | ₽58.47/M | ₽351/M | ₽2 923 |
| gpt 5.4 mini xhigh | gpt 5.4 mini xhigh | ₽58.47/M | ₽351/M | ₽2 923 |
| nano banana 2 0.5k | nano banana 2 0.5k | ₽58.47/M | ₽351/M | ₽2 923 |
| nano banana 2 2k | nano banana 2 2k | ₽58.47/M | ₽351/M | ₽2 923 |
| nano banana 2 4k | nano banana 2 4k | ₽58.47/M | ₽351/M | ₽2 923 |
| Sonar | perplexity | ₽117/M | ₽117/M | ₽2 923 |
| Qwen Max | qwen max | ₽74.84/M | ₽299/M | ₽2 994 |
| qwen vl max | qwen vl max | ₽93.55/M | ₽234/M | ₽3 040 |
| glm 4.5 | z ai | ₽77.96/M | ₽312/M | ₽3 118 |
| gpt 3.5 turbo | openai | ₽117/M | ₽156/M | ₽3 118 |
| qwen coder plus | qwen coder plus | ₽109/M | ₽218/M | ₽3 274 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| o4 mini high | openai | ₽85.75/M | ₽343/M | ₽3 430 |
| o4 mini low | o4 mini low | ₽85.75/M | ₽343/M | ₽3 430 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽81.85/M | ₽409/M | ₽3 683 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽81.85/M | ₽409/M | ₽3 683 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽43.66/M | ₽582/M | ₽3 783 |
| Gemini 3 Pro | gemini 3 pro | ₽77.96/M | ₽468/M | ₽3 898 |
| gemini 3 pro preview low | gemini 3 pro preview low | ₽77.96/M | ₽468/M | ₽3 898 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽77.96/M | ₽468/M | ₽3 898 |
| gemini 3.1 pro preview high | gemini 3.1 pro preview high | ₽77.96/M | ₽468/M | ₽3 898 |
| gemini 3.1 pro preview low | gemini 3.1 pro preview low | ₽77.96/M | ₽468/M | ₽3 898 |
| Qwen3 Max | qwen3 max | ₽99.78/M | ₽399/M | ₽3 991 |
| qwen math plus | qwen math plus | ₽125/M | ₽374/M | ₽4 366 |
| gpt 5.4 | openai | ₽97.45/M | ₽585/M | ₽4 872 |
| GPT 5.4 High | gpt 5.4 high | ₽97.45/M | ₽585/M | ₽4 872 |
| GPT 5.4 Low | gpt 5.4 low | ₽97.45/M | ₽585/M | ₽4 872 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽97.45/M | ₽585/M | ₽4 872 |
| gpt 5.6 terra | openai | ₽97.45/M | ₽585/M | ₽4 872 |
| qwen3 coder plus | qwen | ₽125/M | ₽499/M | ₽4 989 |
| qwen vl ocr | qwen vl ocr | ₽156/M | ₽390/M | ₽5 067 |
| sonar reasoning | sonar reasoning | ₽117/M | ₽585/M | ₽5 262 |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽213/M | ₽213/M | ₽5 321 |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 high | gpt 5 high | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 low | gpt 5 low | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 medium | gpt 5 medium | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 minimal | gpt 5 minimal | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5:flex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| claude opus 4 7 xhigh | claude opus 4 7 xhigh | ₽136/M | ₽682/M | ₽6 139 |
| claude opus 4 8 xhigh | claude opus 4 8 xhigh | ₽136/M | ₽682/M | ₽6 139 |
| Claude Opus 4.5 | claude opus 4 5 | ₽136/M | ₽682/M | ₽6 139 |
| Claude Opus 4.6 | claude opus 4 6 | ₽136/M | ₽682/M | ₽6 139 |
| Claude Opus 4.7 | claude opus 4 7 | ₽136/M | ₽682/M | ₽6 139 |
| claude opus 4.8 | anthropic | ₽136/M | ₽682/M | ₽6 139 |
| gpt 3.5 turbo 16k | openai | ₽234/M | ₽312/M | ₽6 237 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| O3 | o3 | ₽156/M | ₽624/M | ₽6 237 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽187/M | ₽561/M | ₽6 548 |
| qwen3.7 max | qwen | ₽187/M | ₽561/M | ₽6 548 |
| ge 2.5 pro | ge 2.5 pro | ₽117/M | ₽935/M | ₽7 016 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽58.47/M | ₽1 169/M | ₽7 016 |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| sonar deep research | perplexity | ₽195/M | ₽780/M | ₽7 796 |
| sonar reasoning pro | perplexity | ₽195/M | ₽780/M | ₽7 796 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| glm 5 turbo | z ai | ₽195/M | ₽858/M | ₽8 185 |
| glm 5v turbo | z ai | ₽195/M | ₽858/M | ₽8 185 |
| Gemini Pro | gemini pro | ₽146/M | ₽1 169/M | ₽8 770 |
| gpt 5.4 medium | gpt 5.4 medium | ₽195/M | ₽1 169/M | ₽9 745 |
| gpt 5.5 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| gpt 5.6 sol | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| doubao seedance 1 5 pro 251215_false | doubao seedance 1 5 pro 251215_false | ₽405/M | ₽405/M | ₽10 134 |
| kimi k2.7 code | moonshotai | ₽253/M | ₽1 052/M | ₽10 329 |
| gemini 3 pro image | ₽234/M | ₽1 403/M | ₽11 694 | |
| gemini 3 pro image 2k | gemini 3 pro image 2k | ₽234/M | ₽1 403/M | ₽11 694 |
| gemini 3 pro image 4k | gemini 3 pro image 4k | ₽234/M | ₽1 403/M | ₽11 694 |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽234/M | ₽1 403/M | ₽11 694 |
| gemini 3 pro image preview 4k | gemini 3 pro image preview 4k | ₽234/M | ₽1 403/M | ₽11 694 |
| Moonshot V1 8K | moonshot v1 8k | ₽468/M | ₽468/M | ₽11 694 |
| nano banana pro 2k | nano banana pro 2k | ₽234/M | ₽1 403/M | ₽11 694 |
| nano banana pro 4k | nano banana pro 4k | ₽234/M | ₽1 403/M | ₽11 694 |
| sonar pro | perplexity | ₽273/M | ₽1 364/M | ₽12 278 |
| DeepSeek R1 | deepseek r1 | ₽312/M | ₽1 247/M | ₽12 473 |
| doubao seedance 1 0 lite i2v 250428 | doubao seedance 1 0 lite i2v 250428 | ₽507/M | ₽507/M | ₽12 668 |
| doubao seedance 1 0 lite t2v 250428 | doubao seedance 1 0 lite t2v 250428 | ₽507/M | ₽507/M | ₽12 668 |
| claude opus 4 7 minimal | claude opus 4 7 minimal | ₽312/M | ₽1 559/M | ₽14 032 |
| gpt 5.2 chat | openai | ₽273/M | ₽2 183/M | ₽16 371 |
| qwen2.5 vl 72b instruct | qwen | ₽499/M | ₽1 497/M | ₽17 462 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽146/M | ₽2 923/M | ₽17 540 |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽760/M | ₽760/M | ₽19 002 |
| Moonshot V1 32K | moonshot v1 32k | ₽780/M | ₽780/M | ₽19 489 |
| doubao seedance 1 5 pro 251215_true | doubao seedance 1 5 pro 251215_true | ₽811/M | ₽811/M | ₽20 269 |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽811/M | ₽811/M | ₽20 269 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽507/M | ₽2 105/M | ₽20 659 |
| claude fable 5 | anthropic | ₽624/M | ₽3 118/M | ₽28 064 |
| tts 1 | openai | ₽1 169/M | ₽1 169/M | ₽29 234 |
| glm 5 code | glm 5 code | ₽2 339/M | ₽2 339/M | ₽58 468 |
| Imagen 4.0 Fast Generate 001 | imagen 4.0 fast generate 001 | ₽2 339/M | ₽2 339/M | ₽58 468 |
| tts 1 hd | openai | ₽2 339/M | ₽2 339/M | ₽58 468 |
| gpt image 1.5 | openai | ₽1 871/M | ₽7 484/M | ₽74 839 |
| Moonshot V1 128K | moonshot v1 128k | ₽3 118/M | ₽3 118/M | ₽77 957 |
| gpt image 1 | openai | ₽2 183/M | ₽8 731/M | ₽87 312 |
| whisper 1 | openai | ₽4 677/M | ₽4 677/M | ₽93 548 |
| Qwen3 TTS Flash | alibaba | ₽4 366/M | ₽4 366/M | ₽109 140 |
| Flux 2 Dev | black forest labs | ₽4 677/M | ₽4 677/M | ₽116 935 |
| Flux 2 Pro | black forest labs | ₽4 677/M | ₽4 677/M | ₽116 935 |
| FLUX.2 [flex] | black forest labs | ₽4 677/M | ₽4 677/M | ₽116 935 |
| FLUX.2 [max] | black forest labs | ₽4 677/M | ₽4 677/M | ₽116 935 |
| Imagen 4.0 Generate 001 | imagen 4.0 generate 001 | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v1 5_image2image | kling image_kling v1 5_image2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v1 5_text2image | kling image_kling v1 5_text2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v1_image2image | kling image_kling v1_image2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v1_text2image | kling image_kling v1_text2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling image_kling v2_text2image | kling image_kling v2_text2image | ₽4 677/M | ₽4 677/M | ₽116 935 |
| kling virtual_try_on | kling virtual_try_on | ₽4 677/M | ₽4 677/M | ₽116 935 |
| minimax m2.1 | minimax | ₽4 677/M | ₽4 677/M | ₽116 935 |
| minimax m2.5 | minimax | ₽4 677/M | ₽4 677/M | ₽116 935 |
| minimax m2.7 | minimax | ₽4 677/M | ₽4 677/M | ₽116 935 |
| gpt 5 pro | openai | ₽2 339/M | ₽18 710/M | ₽140 322 |
| Imagen 4.0 Ultra Generate 001 | imagen 4.0 ultra generate exp 05 20 | ₽7 016/M | ₽7 016/M | ₽175 403 |
Изображения
за изображение · 19
▼
Изображения
за изображение · 19
| Модель | Maker | Цена |
|---|---|---|
| gi image moderation | gi image moderation | ₽0.02/изобр. |
| Flux | flux | ₽1.17/изобр. |
| Flux Schnell | Flux Schnell | ₽1.17/изобр. |
| gpt image 2 c | gpt image 2 c | ₽3.12/изобр. |
| Flux Dev | Flux Dev | ₽4.37/изобр. |
| Flux pro | flux pro | ₽5.85/изобр. |
| Flux 1 Schnell | black forest labs | ₽9.35/изобр. |
| Flux 1.1 Pro | FLUX 1.1 pro | ₽9.35/изобр. |
| gpt image 2 | gpt image 2 | ₽9.35/изобр. |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽10.13/изобр. |
| flux pro max | flux pro max | ₽10.52/изобр. |
| jimeng_seedream46_cvtob | jimeng_seedream46_cvtob | ₽11.15/изобр. |
| flux kontext pro | flux kontext pro | ₽12.47/изобр. |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽12.67/изобр. |
| Qwen Image | alibaba | ₽12.67/изобр. |
| doubao seedream 3 0 t2i 250415 | doubao seedream 3 0 t2i 250415 | ₽13.12/изобр. |
| Qwen Image Edit | alibaba | ₽15.20/изобр. |
| Flux pro 1.1 ultra | flux pro 1 1 ultra | ₽18.71/изобр. |
| Flux Kontext Max | flux kontext max | ₽24.95/изобр. |
За запрос
фиксированная цена за вызов · 185
▼
За запрос
фиксированная цена за вызов · 185
| Модель | Maker | Цена |
|---|---|---|
| gi semantic moderation | gi semantic moderation | ₽0.0078/вызов |
| moark text moderation | moark text moderation | ₽0.02/вызов |
| bce embedding base_v1 | bce embedding base_v1 | ₽0.08/вызов |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.08/вызов |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽0.08/вызов |
| Bge Large Zh V1.5 | BAAI | ₽0.12/вызов |
| Bge M3 | baai | ₽0.16/вызов |
| Grok 3 | grok 3 | ₽0.62/вызов |
| mj_fast_upload | mj_fast_upload | ₽0.62/вызов |
| mj_turbo_upload | mj_turbo_upload | ₽0.62/вызов |
| DeepSeek R1 Distill Qwen 1.5B | DeepSeek R1 Distill Qwen 1.5B | ₽0.78/вызов |
| deepseek r1 distill qwen 7b | deepseek r1 distill qwen 7b | ₽0.78/вызов |
| Fin R1 | Fin R1 | ₽0.78/вызов |
| gi ocr | gi ocr | ₽0.78/вызов |
| HealthGPT L14 | HealthGPT L14 | ₽0.78/вызов |
| Kolors | Kolors | ₽0.78/вызов |
| mj_relax_upload | mj_relax_upload | ₽0.78/вызов |
| SenseVoiceSmall | SenseVoiceSmall | ₽0.78/вызов |
| suno act stems | suno act stems | ₽0.78/вызов |
| suno act tags | suno act tags | ₽0.78/вызов |
| suno actions | suno actions | ₽0.78/вызов |
| suno_concat | suno_concat | ₽0.78/вызов |
| suno_lyrics | suno_lyrics | ₽0.78/вызов |
| suno_upload | suno_upload | ₽0.78/вызов |
| whisper base | whisper base | ₽0.78/вызов |
| whisper large | whisper large | ₽0.94/вызов |
| Whisper Large V3 Turbo | openai | ₽0.94/вызов |
| deepseek r1 distill qwen 14b | deepseek r1 distill qwen 14b | ₽1.17/вызов |
| internvl3 38b | internvl3 38b | ₽1.17/вызов |
| stable-diffusion-xl-base-1.0 | stabilityai | ₽1.17/вызов |
| ChatTTS | ChatTTS | ₽1.25/вызов |
| CosyVoice2 | CosyVoice2 | ₽1.25/вызов |
| fish speech 1.2 sft | fish speech 1.2 sft | ₽1.25/вызов |
| FunAudioLLM CosyVoice 300M | FunAudioLLM CosyVoice 300M | ₽1.25/вызов |
| MegaTTS3 | MegaTTS3 | ₽1.25/вызов |
| Step Audio TTS 3B | Step Audio TTS 3B | ₽1.25/вызов |
| gi pdf parse | gi pdf parse | ₽1.40/вызов |
| gpt oss 120b | openai | ₽1.40/вызов |
| deepseek coder 33b instruct | deepseek coder 33b instruct | ₽1.56/вызов |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽1.56/вызов |
| deepseek v4 flash | deepseek | ₽1.56/вызов |
| DeepSeek-OCR 2 | deepseek | ₽1.56/вызов |
| Hunyuan3D 2 | Hunyuan3D 2 | ₽1.56/вызов |
| mj_relax_describe | mj_relax_describe | ₽1.56/вызов |
| mj_relax_upscale | mj_relax_upscale | ₽1.56/вызов |
| qwen 2.5 72b instruct | qwen | ₽1.56/вызов |
| Qwen2.5 VL 32B Instruct | Qwen | ₽1.56/вызов |
| qwen3.5 122b a10b | qwen | ₽1.56/вызов |
| qwen3.5 35b a3b | qwen | ₽1.56/вызов |
| qwen3.6 35b a3b | qwen | ₽1.56/вызов |
| stable diffusion 3 medium | stable diffusion 3 medium | ₽1.56/вызов |
| suno act midi | suno act midi | ₽1.56/вызов |
| DeepSeek V3 | deepseek search | ₽1.95/вызов |
| deepseek v3.2 | deepseek | ₽1.95/вызов |
| ERNIE 4.5 Turbo | ernie 4.5 turbo | ₽1.95/вызов |
| ERNIE X1 Turbo | ernie x1 turbo | ₽1.95/вызов |
| Grok 4 | grok 4 | ₽1.95/вызов |
| grok 4.1 | grok 4.1 | ₽1.95/вызов |
| grok 4.2 | grok 4.2 | ₽1.95/вызов |
| InternVL2.5 26B | InternVL2.5 26B | ₽1.95/вызов |
| stable diffusion 3.5 large turbo | stable diffusion 3.5 large turbo | ₽1.95/вызов |
| InternVL2.5 78B | InternVL2.5 78B | ₽2.34/вызов |
| InternVL3 78B | InternVL3 78B | ₽2.34/вызов |
| DeepSeek-V3.1 | deepseek v3 1 | ₽3.12/вызов |
| glm 4.6 | z ai | ₽3.12/вызов |
| glm 4.7 | z ai | ₽3.12/вызов |
| GLM-5 | glm 5 | ₽3.12/вызов |
| Hi3DGen | Hi3DGen | ₽3.12/вызов |
| mj_relax_blend | mj_relax_blend | ₽3.12/вызов |
| mj_relax_edits | mj_relax_edits | ₽3.12/вызов |
| mj_relax_high_variation | mj_relax_high_variation | ₽3.12/вызов |
| mj_relax_imagine | mj_relax_imagine | ₽3.12/вызов |
| mj_relax_low_variation | mj_relax_low_variation | ₽3.12/вызов |
| mj_relax_modal | mj_relax_modal | ₽3.12/вызов |
| mj_relax_pan | mj_relax_pan | ₽3.12/вызов |
| mj_relax_reroll | mj_relax_reroll | ₽3.12/вызов |
| mj_relax_shorten | mj_relax_shorten | ₽3.12/вызов |
| mj_relax_variation | mj_relax_variation | ₽3.12/вызов |
| mj_relax_zoom | mj_relax_zoom | ₽3.12/вызов |
| qwen3 235b a22b c | qwen3 235b a22b c | ₽3.12/вызов |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽3.12/вызов |
| Step1X 3D | Step1X 3D | ₽3.12/вызов |
| mj_fast_describe | mj_fast_describe | ₽3.51/вызов |
| mj_fast_upscale | mj_fast_upscale | ₽3.51/вызов |
| pic colorization | pic colorization | ₽3.90/вызов |
| pic idphoto | pic idphoto | ₽3.90/вызов |
| pic ocr | pic ocr | ₽3.90/вызов |
| pic segmentation | pic segmentation | ₽3.90/вызов |
| pic watermark | pic watermark | ₽3.90/вызов |
| swap_face | swap_face | ₽3.90/вызов |
| mj_turbo_describe | mj_turbo_describe | ₽4.68/вызов |
| mj_turbo_upscale | mj_turbo_upscale | ₽4.68/вызов |
| deepseek v4 pro | deepseek | ₽6.24/вызов |
| glm 5.1 | z ai | ₽6.24/вызов |
| glm 5.2 | z ai | ₽6.24/вызов |
| grok 3 deepersearch | grok 3 deepersearch | ₽6.24/вызов |
| grok 3 deepsearch | grok 3 deepsearch | ₽6.24/вызов |
| grok 3 reasoner | grok 3 reasoner | ₽6.24/вызов |
| Kimi K2.5 | kimi k2.5 | ₽6.24/вызов |
| kimi k2.6 | moonshotai | ₽6.24/вызов |
| mj_fast_pan | mj_fast_pan | ₽6.24/вызов |
| O3 Mini | o3 mini | ₽6.24/вызов |
| qwen3.6 plus | qwen | ₽6.24/вызов |
| Wan 2.2 Flash | alibaba | ₽7.09/вызов |
| mj_fast_blend | mj_fast_blend | ₽7.80/вызов |
| mj_fast_edits | mj_fast_edits | ₽7.80/вызов |
| mj_fast_high_variation | mj_fast_high_variation | ₽7.80/вызов |
| mj_fast_imagine | mj_fast_imagine | ₽7.80/вызов |
| mj_fast_low_variation | mj_fast_low_variation | ₽7.80/вызов |
| mj_fast_modal | mj_fast_modal | ₽7.80/вызов |
| mj_fast_reroll | mj_fast_reroll | ₽7.80/вызов |
| mj_fast_shorten | mj_fast_shorten | ₽7.80/вызов |
| mj_fast_variation | mj_fast_variation | ₽7.80/вызов |
| mj_fast_zoom | mj_fast_zoom | ₽7.80/вызов |
| O1 Mini | o1 mini | ₽7.80/вызов |
| pic watermark_auto | pic watermark_auto | ₽7.80/вызов |
| Wan 2.2 Plus | alibaba | ₽10.13/вызов |
| jimeng_t2i_v40 | jimeng_t2i_v40 | ₽11.15/вызов |
| viduq3 turbo_540p | viduq3 turbo_540p | ₽11.15/вызов |
| viduq3_540p | viduq3_540p | ₽11.15/вызов |
| pic background | pic background | ₽11.69/вызов |
| pic scale | pic scale | ₽11.69/вызов |
| o3 mini high | openai | ₽12.47/вызов |
| jimeng_i2v_first_tail_v30 | jimeng_i2v_first_tail_v30 | ₽14.19/вызов |
| jimeng_i2v_first_v30 | jimeng_i2v_first_v30 | ₽14.19/вызов |
| jimeng_i2v_recamera_v30 | jimeng_i2v_recamera_v30 | ₽14.19/вызов |
| jimeng_t2v_v30 | jimeng_t2v_v30 | ₽14.19/вызов |
| viduq3 pro_540p | viduq3 pro_540p | ₽14.29/вызов |
| doubao seededit 3 0 i2i 250628 | doubao seededit 3 0 i2i 250628 | ₽15.20/вызов |
| mj_turbo_blend | mj_turbo_blend | ₽15.59/вызов |
| mj_turbo_edits | mj_turbo_edits | ₽15.59/вызов |
| mj_turbo_high_variation | mj_turbo_high_variation | ₽15.59/вызов |
| mj_turbo_imagine | mj_turbo_imagine | ₽15.59/вызов |
| mj_turbo_low_variation | mj_turbo_low_variation | ₽15.59/вызов |
| mj_turbo_modal | mj_turbo_modal | ₽15.59/вызов |
| mj_turbo_pan | mj_turbo_pan | ₽15.59/вызов |
| mj_turbo_reroll | mj_turbo_reroll | ₽15.59/вызов |
| mj_turbo_shorten | mj_turbo_shorten | ₽15.59/вызов |
| mj_turbo_variation | mj_turbo_variation | ₽15.59/вызов |
| mj_turbo_zoom | mj_turbo_zoom | ₽15.59/вызов |
| viduq3 pro fast_720p | viduq3 pro fast_720p | ₽19.00/вызов |
| viduq3 turbo_720p | viduq3 turbo_720p | ₽19.00/вызов |
| viduq3_720p | viduq3_720p | ₽19.00/вызов |
| Qwen3.6 Max | Qwen3.6 Max | ₽19.49/вызов |
| viduq3 turbo_1080p | viduq3 turbo_1080p | ₽20.78/вызов |
| direct generate pptx | direct generate pptx | ₽23.39/вызов |
| ppt chat | ppt chat | ₽23.39/вызов |
| viduq3 pro fast_1080p | viduq3 pro fast_1080p | ₽23.82/вызов |
| viduq3_1080p | viduq3_1080p | ₽23.82/вызов |
| wan2.7 i2v_720P | wan2.7 i2v_720P | ₽30.40/вызов |
| wan2.7 r2v_720P | wan2.7 r2v_720P | ₽30.40/вызов |
| wan2.7 t2v_720P | wan2.7 t2v_720P | ₽30.40/вызов |
| wan2.7 videoedit_720P | wan2.7 videoedit_720P | ₽30.40/вызов |
| viduq3 pro_720p | viduq3 pro_720p | ₽31.67/вызов |
| jimeng_i2v_first_tail_v30_1080 | jimeng_i2v_first_tail_v30_1080 | ₽31.92/вызов |
| jimeng_i2v_first_v30_1080 | jimeng_i2v_first_v30_1080 | ₽31.92/вызов |
| jimeng_t2v_v30_1080p | jimeng_t2v_v30_1080p | ₽31.92/вызов |
| suno_music | suno_music | ₽35.08/вызов |
| viduq3 mix_720p | viduq3 mix_720p | ₽38.00/вызов |
| viduq3 pro_1080p | viduq3 pro_1080p | ₽38.00/вызов |
| O1 | o1 | ₽38.98/вызов |
| happyhorse 1.0 i2v_720P | happyhorse 1.0 i2v_720P | ₽45.60/вызов |
| happyhorse 1.0 r2v_720P | happyhorse 1.0 r2v_720P | ₽45.60/вызов |
| happyhorse 1.0 t2v_720P | happyhorse 1.0 t2v_720P | ₽45.60/вызов |
| happyhorse 1.0 video edit_720P | happyhorse 1.0 video edit_720P | ₽45.60/вызов |
| happyhorse 1.1 i2v_720P | happyhorse 1.1 i2v_720P | ₽45.60/вызов |
| happyhorse 1.1 r2v_720P | happyhorse 1.1 r2v_720P | ₽45.60/вызов |
| happyhorse 1.1 t2v_720P | happyhorse 1.1 t2v_720P | ₽45.60/вызов |
| viduq3 mix_1080p | viduq3 mix_1080p | ₽46.11/вызов |
| jimeng_ti2v_v30_pro | jimeng_ti2v_v30_pro | ₽50.67/вызов |
| wan2.7 i2v_1080P | wan2.7 i2v_1080P | ₽50.67/вызов |
| wan2.7 r2v_1080P | wan2.7 r2v_1080P | ₽50.67/вызов |
| wan2.7 t2v_1080P | wan2.7 t2v_1080P | ₽50.67/вызов |
| wan2.7 videoedit_1080P | wan2.7 videoedit_1080P | ₽50.67/вызов |
| o1 pro | openai | ₽54.57/вызов |
| happyhorse 1.0 i2v_1080P | happyhorse 1.0 i2v_1080P | ₽60.81/вызов |
| happyhorse 1.0 r2v_1080P | happyhorse 1.0 r2v_1080P | ₽60.81/вызов |
| happyhorse 1.0 t2v_1080P | happyhorse 1.0 t2v_1080P | ₽60.81/вызов |
| happyhorse 1.0 video edit_1080P | happyhorse 1.0 video edit_1080P | ₽60.81/вызов |
| happyhorse 1.1 i2v_1080P | happyhorse 1.1 i2v_1080P | ₽60.81/вызов |
| happyhorse 1.1 r2v_1080P | happyhorse 1.1 r2v_1080P | ₽60.81/вызов |
| happyhorse 1.1 t2v_1080P | happyhorse 1.1 t2v_1080P | ₽60.81/вызов |
| mj_fast_video | mj_fast_video | ₽62.37/вызов |
| mj_relax_video | mj_relax_video | ₽62.37/вызов |
| mj_turbo_video | mj_turbo_video | ₽125/вызов |
Без публичной цены
нет данных в открытых источниках · 12
▼
Без публичной цены
нет данных в открытых источниках · 12
| Модель | Maker | Примечание |
|---|---|---|
| mj_fast_custom_zoom | mj_fast_custom_zoom | — |
| mj_fast_inpaint | mj_fast_inpaint | — |
| mj_fast_pic_reader | mj_fast_pic_reader | — |
| mj_fast_prompt_analyzer | mj_fast_prompt_analyzer | — |
| mj_relax_custom_zoom | mj_relax_custom_zoom | — |
| mj_relax_inpaint | mj_relax_inpaint | — |
| mj_relax_pic_reader | mj_relax_pic_reader | — |
| mj_relax_prompt_analyzer | mj_relax_prompt_analyzer | — |
| mj_turbo_custom_zoom | mj_turbo_custom_zoom | — |
| mj_turbo_inpaint | mj_turbo_inpaint | — |
| mj_turbo_pic_reader | mj_turbo_pic_reader | — |
| mj_turbo_prompt_analyzer | mj_turbo_prompt_analyzer | — |
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. V-API — list-format; Claude-модели часто в нескольких enable_groups с разным group_ratio. Per-call (quota_type=1) — фикс USD за вызов.
О провайдере
О сервисе
V-API (gpt.ge) — китайский агрегатор из ресёрча 2026-06, позиционируется как широкий OneAPI-шлюз. Отличительная черта — большой per-call сегмент (image/video) и детальная маршрутизация Claude-семейства. На AI-APISHKA token-модели пересчитаны в $/1M; per-call — в $/call или $/image.
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. vs API易: V-API шире (611 vs 346), больше per-call. vs o3.fan: list vs map format, свои ratio.
Частые вопросы
- V-API и gpt.ge — это одно и то же?
- Да — V-API, бренд из ресёрча; сайт gpt.ge, API api.gpt.ge, pricing на GET /api/pricing.
- Почему у V-API много моделей без $/1M в summary?
- 273 модели с quota_type=1 (per-call): image, video, audio — фиксированная цена за вызов, не за токены.
- V-API — Claude-only агрегатор?
- Нет, но сильный акцент на Claude-группах (claude_cc, claude_kiro, claude_max). Также DeepSeek, Codex, image/video.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
V-API предлагает 419 моделей AI API. Средняя цена — ₽509/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.78/M (GLM 4 Flash).
Сравните цены на gi semantic moderation , gi image moderation , moark text moderation , bce embedding base_v1 и Qwen3 Embedding 8B у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.