Privacy-first uncensored API: 90 LLM, zero retention, TEE/E2EE
- Моделей
- 92
- Средняя цена
- ₽376/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (pay-as-you-go), DIEM (native token)
- Биллинг
- за токены
- API
- OpenAI-compatible
Отдельного /api/pricing нет — цены только в model_spec каждой модели · Публичный каталог /v1/models — только type=text; image/video/TTS — другие API · Extended pricing — разные тарифы при context > threshold
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 77.9568 ₽ · 1 CNY = 11.5136 ₽ · 16.07.2026
92 моделей
Текст и чат
оплата за токены · 92
▼
Текст и чат
оплата за токены · 92
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen 2.5 7B | e2ee qwen 2 5 7b p | ₽3.90/M | ₽10.13/M | ₽129 |
| gpt oss 20b | openai | ₽3.90/M | ₽14.81/M | ₽152 |
| qwen3.5 9b | qwen | ₽7.80/M | ₽11.69/M | ₽214 |
| gpt oss 120b | openai | ₽5.46/M | ₽23.39/M | ₽226 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽5.85/M | ₽23.39/M | ₽234 |
| mistral-small-3.2-24b-instruct | mistral small 3 2 24b instruct | ₽7.31/M | ₽19.49/M | ₽244 |
| GLM 4.7 Flash Heretic | olafangensan glm 4.7 flash heretic | ₽5.46/M | ₽31.18/M | ₽265 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽9.35/M | ₽15.59/M | ₽265 |
| deepseek v4 flash | deepseek | ₽10.76/M | ₽21.44/M | ₽322 |
| Google Gemma 4 31B Instruct | google gemma 4 31b it | ₽9.35/M | ₽28.06/M | ₽327 |
| mimo v2.5 | mimo v2.5 | ₽10.91/M | ₽21.83/M | ₽327 |
| Google Gemma 4 26B A4B Instruct | google gemma 4 26b a4b it | ₽10.13/M | ₽31.18/M | ₽359 |
| Gemma 4 31B Instruct | e2ee gemma 4 31b | ₽10.84/M | ₽33.52/M | ₽384 |
| glm 4.7 flash | z ai | ₽9.74/M | ₽38.98/M | ₽390 |
| Gemma 3 27B | e2ee gemma 3 27b p | ₽10.91/M | ₽38.98/M | ₽413 |
| Gemma 4 Uncensored | gemma 4 uncensored | ₽12.67/M | ₽38.98/M | ₽448 |
| Llama 3.2 3B | llama 3.2 3b | ₽11.69/M | ₽46.77/M | ₽468 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽11.69/M | ₽58.47/M | ₽526 |
| Nemotron Cascade 2 30B A3B | nvidia nemotron cascade 2 30b a3b | ₽10.91/M | ₽62.37/M | ₽530 |
| qwen3 30b a3b | qwen | ₽14.81/M | ₽53.79/M | ₽565 |
| GPT-4o Mini | gpt 4o mini | ₽14.62/M | ₽58.47/M | ₽585 |
| mistral small 2603 | mistral small 2603 | ₽14.62/M | ₽58.47/M | ₽585 |
| Gemma 4 26B A4B Uncensored | e2ee gemma 4 26b a4b uncensored p | ₽14.81/M | ₽68.60/M | ₽639 |
| Venice Uncensored 1.2 | venice uncensored 1 2 | ₽15.59/M | ₽70.16/M | ₽663 |
| deepseek v3.2 | deepseek | ₽25.73/M | ₽37.42/M | ₽702 |
| Qwen3 VL 30B A3B | e2ee qwen3 vl 30b a3b p | ₽19.49/M | ₽70.16/M | ₽741 |
| Qwen 3.6 35B A3B FP8 | e2ee qwen3 6 35b a3b | ₽14.19/M | ₽91.99/M | ₽744 |
| minimax m2.5 | minimax | ₽21.05/M | ₽74.06/M | ₽791 |
| Venice Uncensored 1.1 | e2ee venice uncensored 24b p | ₽19.49/M | ₽89.65/M | ₽838 |
| Mercury 2 | mercury 2 | ₽24.36/M | ₽73.08/M | ₽853 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| qwen3.5 35b a3b | qwen | ₽24.36/M | ₽97.45/M | ₽974 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽16.37/M | ₽148/M | ₽1 068 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽27.28/M | ₽117/M | ₽1 130 |
| minimax m2.7 | minimax | ₽29.23/M | ₽117/M | ₽1 169 |
| qwen3 next 80b | qwen3 next 80b | ₽27.28/M | ₽148/M | ₽1 286 |
| Qwen3.6 35B A3B Uncensored | e2ee qwen3 6 35b a3b uncensored p | ₽29.62/M | ₽147/M | ₽1 325 |
| glm 4.6 | z ai | ₽33.52/M | ₽136/M | ₽1 353 |
| Qwen 3.7 Plus | qwen 3.7 plus | ₽38.98/M | ₽156/M | ₽1 559 |
| Venice Role Play Uncensored | venice uncensored role play | ₽38.98/M | ₽156/M | ₽1 559 |
| qwen3.6 27b | qwen | ₽25.34/M | ₽253/M | ₽1 774 |
| Qwen 3.6 27B FP8 | e2ee qwen3 6 27b | ₽26.97/M | ₽270/M | ₽1 888 |
| glm 4.7 | z ai | ₽42.88/M | ₽207/M | ₽1 890 |
| Aion-3.0-Mini | AionLabs | ₽68.21/M | ₽136/M | ₽2 046 |
| qwen3 235b a22b | qwen | ₽35.08/M | ₽273/M | ₽2 066 |
| Llama 3.3 70B | llama 3.3 70b | ₽54.57/M | ₽218/M | ₽2 183 |
| Nemotron 3 Ultra | NVIDIA | ₽48.72/M | ₽244/M | ₽2 193 |
| Kimi K2.5 | kimi k2.5 | ₽43.66/M | ₽273/M | ₽2 237 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| qwen 3 6 plus | qwen 3 6 plus | ₽48.72/M | ₽292/M | ₽2 436 |
| kimi k2.6 | moonshotai | ₽58.47/M | ₽273/M | ₽2 534 |
| kimi k2.7 code | moonshotai | ₽58.47/M | ₽273/M | ₽2 534 |
| Gemini 3 Flash | gemini 3 flash | ₽54.57/M | ₽292/M | ₽2 553 |
| GLM-5 | glm 5 | ₽77.96/M | ₽249/M | ₽2 806 |
| Hermes 3 Llama 3.1 405b | hermes 3 llama 3.1 405b | ₽85.75/M | ₽234/M | ₽2 884 |
| qwen3.5 397b a17b | qwen | ₽58.47/M | ₽351/M | ₽2 923 |
| grok 4.20 | x ai | ₽111/M | ₽221/M | ₽3 317 |
| grok 4.20 multi agent | x ai | ₽111/M | ₽221/M | ₽3 317 |
| grok 4.3 | x ai | ₽111/M | ₽221/M | ₽3 317 |
| glm 5.1 | z ai | ₽85.75/M | ₽324/M | ₽3 333 |
| glm 5 turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| gpt 5.4 mini | openai | ₽73.08/M | ₽439/M | ₽3 654 |
| deepseek v4 pro | deepseek | ₽129/M | ₽257/M | ₽3 859 |
| glm 5.2 | z ai | ₽109/M | ₽343/M | ₽3 898 |
| glm 5v turbo | z ai | ₽117/M | ₽390/M | ₽4 288 |
| GPT-5.6 Luna | openai gpt 56 luna | ₽97.45/M | ₽585/M | ₽4 872 |
| GPT-5.6 Luna Pro | openai gpt 56 luna pro | ₽97.45/M | ₽585/M | ₽4 872 |
| gemini 3.5 flash | ₽121/M | ₽737/M | ₽6 100 | |
| grok 4.5 | x ai | ₽177/M | ₽530/M | ₽6 190 |
| Qwen 3.7 Max | Qwen 3.7 Max | ₽210/M | ₽628/M | ₽7 347 |
| Aion-3.0 | AionLabs | ₽292/M | ₽585/M | ₽8 770 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽195/M | ₽1 169/M | ₽9 745 |
| GPT-4o | gpt 4o | ₽244/M | ₽974/M | ₽9 745 |
| gpt 5.2 | openai | ₽171/M | ₽1 364/M | ₽10 236 |
| gpt 5.2 codex | openai | ₽171/M | ₽1 364/M | ₽10 236 |
| gpt 5.3 codex | openai | ₽171/M | ₽1 364/M | ₽10 236 |
| claude sonnet 5 | anthropic | ₽234/M | ₽1 169/M | ₽10 524 |
| GPT-5.6 Terra | openai gpt 56 terra | ₽244/M | ₽1 462/M | ₽12 181 |
| GPT-5.6 Terra Pro | openai gpt 56 terra pro | ₽244/M | ₽1 462/M | ₽12 181 |
| gpt 5.4 | openai | ₽244/M | ₽1 466/M | ₽12 208 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽281/M | ₽1 403/M | ₽12 629 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽292/M | ₽1 462/M | ₽13 155 |
| Claude Opus 4.5 | claude opus 4 5 | ₽468/M | ₽2 339/M | ₽21 048 |
| Claude Opus 4.6 | claude opus 4 6 | ₽468/M | ₽2 339/M | ₽21 048 |
| Claude Opus 4.7 | claude opus 4 7 | ₽468/M | ₽2 339/M | ₽21 048 |
| claude opus 4.8 | anthropic | ₽468/M | ₽2 339/M | ₽21 048 |
| gpt 5.5 | openai | ₽487/M | ₽2 923/M | ₽24 362 |
| GPT-5.6 Sol | openai gpt 56 sol | ₽487/M | ₽2 923/M | ₽24 362 |
| GPT-5.6 Sol Pro | openai gpt 56 sol pro | ₽487/M | ₽2 923/M | ₽24 362 |
| claude fable 5 | anthropic | ₽935/M | ₽4 677/M | ₽42 097 |
| gpt 5.4 pro | openai | ₽2 923/M | ₽17 540/M | ₽146 169 |
| gpt 5.5 pro | openai | ₽2 923/M | ₽17 540/M | ₽146 169 |
Текст и чат
оплата за токены · 92
▼
Текст и чат
оплата за токены · 92
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen 2.5 7B | e2ee qwen 2 5 7b p | ₽3.90/M | ₽10.13/M | ₽129 |
| gpt oss 20b | openai | ₽3.90/M | ₽14.81/M | ₽152 |
| qwen3.5 9b | qwen | ₽7.80/M | ₽11.69/M | ₽214 |
| gpt oss 120b | openai | ₽5.46/M | ₽23.39/M | ₽226 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽5.85/M | ₽23.39/M | ₽234 |
| mistral-small-3.2-24b-instruct | mistral small 3 2 24b instruct | ₽7.31/M | ₽19.49/M | ₽244 |
| GLM 4.7 Flash Heretic | olafangensan glm 4.7 flash heretic | ₽5.46/M | ₽31.18/M | ₽265 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽9.35/M | ₽15.59/M | ₽265 |
| deepseek v4 flash | deepseek | ₽10.76/M | ₽21.44/M | ₽322 |
| Google Gemma 4 31B Instruct | google gemma 4 31b it | ₽9.35/M | ₽28.06/M | ₽327 |
| mimo v2.5 | mimo v2.5 | ₽10.91/M | ₽21.83/M | ₽327 |
| Google Gemma 4 26B A4B Instruct | google gemma 4 26b a4b it | ₽10.13/M | ₽31.18/M | ₽359 |
| Gemma 4 31B Instruct | e2ee gemma 4 31b | ₽10.84/M | ₽33.52/M | ₽384 |
| glm 4.7 flash | z ai | ₽9.74/M | ₽38.98/M | ₽390 |
| Gemma 3 27B | e2ee gemma 3 27b p | ₽10.91/M | ₽38.98/M | ₽413 |
| Gemma 4 Uncensored | gemma 4 uncensored | ₽12.67/M | ₽38.98/M | ₽448 |
| Llama 3.2 3B | llama 3.2 3b | ₽11.69/M | ₽46.77/M | ₽468 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽11.69/M | ₽58.47/M | ₽526 |
| Nemotron Cascade 2 30B A3B | nvidia nemotron cascade 2 30b a3b | ₽10.91/M | ₽62.37/M | ₽530 |
| qwen3 30b a3b | qwen | ₽14.81/M | ₽53.79/M | ₽565 |
| GPT-4o Mini | gpt 4o mini | ₽14.62/M | ₽58.47/M | ₽585 |
| mistral small 2603 | mistral small 2603 | ₽14.62/M | ₽58.47/M | ₽585 |
| Gemma 4 26B A4B Uncensored | e2ee gemma 4 26b a4b uncensored p | ₽14.81/M | ₽68.60/M | ₽639 |
| Venice Uncensored 1.2 | venice uncensored 1 2 | ₽15.59/M | ₽70.16/M | ₽663 |
| deepseek v3.2 | deepseek | ₽25.73/M | ₽37.42/M | ₽702 |
| Qwen3 VL 30B A3B | e2ee qwen3 vl 30b a3b p | ₽19.49/M | ₽70.16/M | ₽741 |
| Qwen 3.6 35B A3B FP8 | e2ee qwen3 6 35b a3b | ₽14.19/M | ₽91.99/M | ₽744 |
| minimax m2.5 | minimax | ₽21.05/M | ₽74.06/M | ₽791 |
| Venice Uncensored 1.1 | e2ee venice uncensored 24b p | ₽19.49/M | ₽89.65/M | ₽838 |
| Mercury 2 | mercury 2 | ₽24.36/M | ₽73.08/M | ₽853 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| qwen3.5 35b a3b | qwen | ₽24.36/M | ₽97.45/M | ₽974 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽16.37/M | ₽148/M | ₽1 068 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽27.28/M | ₽117/M | ₽1 130 |
| minimax m2.7 | minimax | ₽29.23/M | ₽117/M | ₽1 169 |
| qwen3 next 80b | qwen3 next 80b | ₽27.28/M | ₽148/M | ₽1 286 |
| Qwen3.6 35B A3B Uncensored | e2ee qwen3 6 35b a3b uncensored p | ₽29.62/M | ₽147/M | ₽1 325 |
| glm 4.6 | z ai | ₽33.52/M | ₽136/M | ₽1 353 |
| Qwen 3.7 Plus | qwen 3.7 plus | ₽38.98/M | ₽156/M | ₽1 559 |
| Venice Role Play Uncensored | venice uncensored role play | ₽38.98/M | ₽156/M | ₽1 559 |
| qwen3.6 27b | qwen | ₽25.34/M | ₽253/M | ₽1 774 |
| Qwen 3.6 27B FP8 | e2ee qwen3 6 27b | ₽26.97/M | ₽270/M | ₽1 888 |
| glm 4.7 | z ai | ₽42.88/M | ₽207/M | ₽1 890 |
| Aion-3.0-Mini | AionLabs | ₽68.21/M | ₽136/M | ₽2 046 |
| qwen3 235b a22b | qwen | ₽35.08/M | ₽273/M | ₽2 066 |
| Llama 3.3 70B | llama 3.3 70b | ₽54.57/M | ₽218/M | ₽2 183 |
| Nemotron 3 Ultra | NVIDIA | ₽48.72/M | ₽244/M | ₽2 193 |
| Kimi K2.5 | kimi k2.5 | ₽43.66/M | ₽273/M | ₽2 237 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| qwen 3 6 plus | qwen 3 6 plus | ₽48.72/M | ₽292/M | ₽2 436 |
| kimi k2.6 | moonshotai | ₽58.47/M | ₽273/M | ₽2 534 |
| kimi k2.7 code | moonshotai | ₽58.47/M | ₽273/M | ₽2 534 |
| Gemini 3 Flash | gemini 3 flash | ₽54.57/M | ₽292/M | ₽2 553 |
| GLM-5 | glm 5 | ₽77.96/M | ₽249/M | ₽2 806 |
| Hermes 3 Llama 3.1 405b | hermes 3 llama 3.1 405b | ₽85.75/M | ₽234/M | ₽2 884 |
| qwen3.5 397b a17b | qwen | ₽58.47/M | ₽351/M | ₽2 923 |
| grok 4.20 | x ai | ₽111/M | ₽221/M | ₽3 317 |
| grok 4.20 multi agent | x ai | ₽111/M | ₽221/M | ₽3 317 |
| grok 4.3 | x ai | ₽111/M | ₽221/M | ₽3 317 |
| glm 5.1 | z ai | ₽85.75/M | ₽324/M | ₽3 333 |
| glm 5 turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| gpt 5.4 mini | openai | ₽73.08/M | ₽439/M | ₽3 654 |
| deepseek v4 pro | deepseek | ₽129/M | ₽257/M | ₽3 859 |
| glm 5.2 | z ai | ₽109/M | ₽343/M | ₽3 898 |
| glm 5v turbo | z ai | ₽117/M | ₽390/M | ₽4 288 |
| GPT-5.6 Luna | openai gpt 56 luna | ₽97.45/M | ₽585/M | ₽4 872 |
| GPT-5.6 Luna Pro | openai gpt 56 luna pro | ₽97.45/M | ₽585/M | ₽4 872 |
| gemini 3.5 flash | ₽121/M | ₽737/M | ₽6 100 | |
| grok 4.5 | x ai | ₽177/M | ₽530/M | ₽6 190 |
| Qwen 3.7 Max | Qwen 3.7 Max | ₽210/M | ₽628/M | ₽7 347 |
| Aion-3.0 | AionLabs | ₽292/M | ₽585/M | ₽8 770 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽195/M | ₽1 169/M | ₽9 745 |
| GPT-4o | gpt 4o | ₽244/M | ₽974/M | ₽9 745 |
| gpt 5.2 | openai | ₽171/M | ₽1 364/M | ₽10 236 |
| gpt 5.2 codex | openai | ₽171/M | ₽1 364/M | ₽10 236 |
| gpt 5.3 codex | openai | ₽171/M | ₽1 364/M | ₽10 236 |
| claude sonnet 5 | anthropic | ₽234/M | ₽1 169/M | ₽10 524 |
| GPT-5.6 Terra | openai gpt 56 terra | ₽244/M | ₽1 462/M | ₽12 181 |
| GPT-5.6 Terra Pro | openai gpt 56 terra pro | ₽244/M | ₽1 462/M | ₽12 181 |
| gpt 5.4 | openai | ₽244/M | ₽1 466/M | ₽12 208 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽281/M | ₽1 403/M | ₽12 629 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽292/M | ₽1 462/M | ₽13 155 |
| Claude Opus 4.5 | claude opus 4 5 | ₽468/M | ₽2 339/M | ₽21 048 |
| Claude Opus 4.6 | claude opus 4 6 | ₽468/M | ₽2 339/M | ₽21 048 |
| Claude Opus 4.7 | claude opus 4 7 | ₽468/M | ₽2 339/M | ₽21 048 |
| claude opus 4.8 | anthropic | ₽468/M | ₽2 339/M | ₽21 048 |
| gpt 5.5 | openai | ₽487/M | ₽2 923/M | ₽24 362 |
| GPT-5.6 Sol | openai gpt 56 sol | ₽487/M | ₽2 923/M | ₽24 362 |
| GPT-5.6 Sol Pro | openai gpt 56 sol pro | ₽487/M | ₽2 923/M | ₽24 362 |
| claude fable 5 | anthropic | ₽935/M | ₽4 677/M | ₽42 097 |
| gpt 5.4 pro | openai | ₽2 923/M | ₽17 540/M | ₽146 169 |
| gpt 5.5 pro | openai | ₽2 923/M | ₽17 540/M | ₽146 169 |
О провайдере
О сервисе
Venice позиционируется как permissionless, uncensored AI platform с zero data retention на private-моделях. Отличие от типичных агрегаторов — privacy architecture (TEE/E2EE) и отсутствие content filtering. Помимо LLM — image, video, music, embeddings и developer tools (web search/scrape $0.01/call). На AI-APISHKA — text-модели с USD/1M из model_spec.pricing.
Как сравнивать на AI-APISHKA
Flat $/1M как ZenMux/OpenRouter. Учитывайте privacy tier (private vs anonymized). Extended context — смотрите pricing.extended и conditions в pricing.lines. DIEM-цены дублируют USD 1:1 в API.
Частые вопросы
- Где цены Venice.ai?
- В GET /api/v1/models → model_spec.pricing (input/output/cache_input/cache_write USD/1M). Отдельного pricing API нет.
- Venice — censored или uncensored?
- Заявлен uncensored / permissionless доступ. Private-модели — zero data retention; anonymized — metadata stripped.
- Почему в каталоге только text-модели?
- Публичный /v1/models возвращает 90 LLM type=text. Image, video, TTS, music — через отдельные endpoints Venice API.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
Venice.ai предлагает 92 моделей AI API. Средняя цена — ₽376/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽3.90/M (Qwen 2.5 7B).
Сравните цены на Qwen 2.5 7B , gpt oss 20b , qwen3.5 9b , gpt oss 120b и Nvidia Nemotron 3 Nano 30B A3B у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.