Privacy-first uncensored API: 90 LLM, zero retention, TEE/E2EE
- Моделей
- 102
- Средняя цена
- ₽368/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 · ₽
102 моделей
Текст и чат
оплата за токены · 102
▼
Текст и чат
оплата за токены · 102
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen 2.5 7B | e2ee qwen 2 5 7b p | ₽4.28/M | ₽11.13/M | ₽141 |
| gpt oss 20b | openai | ₽4.28/M | ₽16.26/M | ₽167 |
| qwen3.5 9b | qwen | ₽8.56/M | ₽12.84/M | ₽235 |
| gpt oss 120b | openai | ₽5.99/M | ₽25.68/M | ₽248 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽6.42/M | ₽25.68/M | ₽257 |
| mistral-small-3.2-24b-instruct | mistral small 3 2 24b instruct | ₽8.03/M | ₽21.40/M | ₽268 |
| glm 4.7 flash | z ai | ₽5.14/M | ₽34.24/M | ₽274 |
| GLM 4.7 Flash Heretic | olafangensan glm 4.7 flash heretic | ₽5.99/M | ₽34.24/M | ₽291 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽10.27/M | ₽17.12/M | ₽291 |
| deepseek v4 flash | deepseek | ₽11.81/M | ₽23.54/M | ₽354 |
| Google Gemma 4 31B Instruct | google gemma 4 31b it | ₽10.27/M | ₽30.82/M | ₽360 |
| Google Gemma 4 26B A4B Instruct | google gemma 4 26b a4b it | ₽11.13/M | ₽34.24/M | ₽394 |
| Gemma 3 27B | e2ee gemma 3 27b p | ₽11.98/M | ₽42.80/M | ₽454 |
| glm 5.3 flash | z ai | ₽12.84/M | ₽42.80/M | ₽471 |
| Gemma 4 Uncensored | gemma 4 uncensored | ₽13.91/M | ₽42.80/M | ₽492 |
| Llama 3.2 3B | llama 3.2 3b | ₽12.84/M | ₽51.36/M | ₽514 |
| Qwen3 235B A22B Instruct | alibaba | ₽12.84/M | ₽64.20/M | ₽578 |
| qwen3.6 35b a3b | qwen | ₽8.56/M | ₽85.60/M | ₽599 |
| GPT-4o Mini | gpt 4o mini | ₽16.05/M | ₽64.20/M | ₽642 |
| mistral small 2603 | mistral small 2603 | ₽16.05/M | ₽64.20/M | ₽642 |
| Gemma 4 26B A4B Uncensored | e2ee gemma 4 26b a4b uncensored p | ₽16.26/M | ₽75.33/M | ₽702 |
| Venice Uncensored 1.2 | venice uncensored 1 2 | ₽17.12/M | ₽77.04/M | ₽728 |
| deepseek v3.2 | deepseek | ₽28.25/M | ₽41.09/M | ₽770 |
| Qwen3 VL 30B A3B | e2ee qwen3 vl 30b a3b p | ₽21.40/M | ₽77.04/M | ₽813 |
| Qwen 3.6 35B A3B FP8 | e2ee qwen3 6 35b a3b | ₽15.58/M | ₽101/M | ₽817 |
| minimax m2.5 | minimax | ₽23.11/M | ₽81.32/M | ₽869 |
| Mercury 2 | mercury 2 | ₽26.75/M | ₽80.25/M | ₽936 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| qwen3.5 35b a3b | qwen | ₽26.75/M | ₽107/M | ₽1 070 |
| gpt 5.6 luna | openai | ₽22.83/M | ₽137/M | ₽1 141 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.98/M | ₽163/M | ₽1 173 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽29.96/M | ₽128/M | ₽1 241 |
| minimax m2.7 | minimax | ₽32.10/M | ₽128/M | ₽1 284 |
| qwen3 next 80b | qwen3 next 80b | ₽29.96/M | ₽163/M | ₽1 412 |
| Qwen3.6 35B A3B Uncensored | e2ee qwen3 6 35b a3b uncensored p | ₽32.53/M | ₽161/M | ₽1 455 |
| glm 4.6 | z ai | ₽36.81/M | ₽150/M | ₽1 485 |
| mimo v2.5 | mimo v2.5 | ₽34.24/M | ₽171/M | ₽1 541 |
| Qwen 3.7 Plus | Qwen 3.7 Plus | ₽42.80/M | ₽171/M | ₽1 712 |
| Venice Role Play Uncensored | venice uncensored role play | ₽42.80/M | ₽171/M | ₽1 712 |
| qwen3.6 27b | qwen | ₽27.82/M | ₽278/M | ₽1 947 |
| gemini 3.5 flash lite | ₽32.10/M | ₽268/M | ₽1 980 | |
| glm 4.7 | z ai | ₽47.08/M | ₽227/M | ₽2 076 |
| Qwen 3.8 27B | qwen 3 8 27b | ₽38.52/M | ₽274/M | ₽2 140 |
| Aion-3.0-Mini | AionLabs | ₽74.90/M | ₽150/M | ₽2 247 |
| qwen3 235b a22b | qwen | ₽38.52/M | ₽300/M | ₽2 268 |
| Llama 3.3 70B | llama 3.3 70b | ₽59.92/M | ₽240/M | ₽2 397 |
| Nemotron 3 Ultra | nvidia | ₽53.50/M | ₽268/M | ₽2 408 |
| seed 2 1 turbo | seed 2 1 turbo | ₽53.50/M | ₽268/M | ₽2 408 |
| Kimi K2.5 | kimi k2.5 | ₽47.94/M | ₽300/M | ₽2 457 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| qwen 3 6 plus | qwen 3 6 plus | ₽53.50/M | ₽321/M | ₽2 675 |
| kimi k2.6 | moonshotai | ₽64.20/M | ₽300/M | ₽2 782 |
| kimi k2.7 code | moonshotai | ₽64.20/M | ₽300/M | ₽2 782 |
| Gemini 3 Flash | gemini 3 flash | ₽59.92/M | ₽321/M | ₽2 803 |
| GLM-5 | glm 5 | ₽85.60/M | ₽274/M | ₽3 082 |
| hermes 3 llama 3.1 405b | hermes 3 llama 3.1 405b | ₽94.16/M | ₽257/M | ₽3 167 |
| qwen3.5 397b a17b | qwen | ₽64.20/M | ₽385/M | ₽3 210 |
| gemini 3.6 flash | ₽80.25/M | ₽401/M | ₽3 611 | |
| gemini 3.7 flash | ₽80.25/M | ₽401/M | ₽3 611 | |
| grok 4.20 | x ai | ₽122/M | ₽242/M | ₽3 642 |
| grok 4.20 multi agent | x ai | ₽122/M | ₽242/M | ₽3 642 |
| grok 4.3 | x ai | ₽122/M | ₽242/M | ₽3 642 |
| glm 5.1 | z ai | ₽94.16/M | ₽355/M | ₽3 659 |
| glm 5 turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| gpt 5.4 mini | openai | ₽80.25/M | ₽482/M | ₽4 013 |
| deepseek v4 pro | deepseek | ₽141/M | ₽283/M | ₽4 238 |
| glm 5.2 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| Inkling | inkling | ₽107/M | ₽433/M | ₽4 307 |
| glm 5v turbo | z ai | ₽128/M | ₽428/M | ₽4 708 |
| glm 5.3 | z ai | ₽150/M | ₽471/M | ₽5 350 |
| gpt 5.6 luna pro | openai | ₽107/M | ₽642/M | ₽5 350 |
| gemini 3.5 flash | ₽133/M | ₽809/M | ₽6 698 | |
| grok 4.5 | x ai | ₽194/M | ₽582/M | ₽6 797 |
| grok 4.6 | grok 4.6 | ₽194/M | ₽582/M | ₽6 797 |
| Qwen 3.8 2.4T | qwen 3 8 2 4t a95b | ₽214/M | ₽642/M | ₽7 490 |
| Qwen 3.8 Max | Qwen 3.8 Max | ₽214/M | ₽642/M | ₽7 490 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| qwen 3.7 max | qwen 3.7 max | ₽231/M | ₽689/M | ₽8 068 |
| Aion-3.0 | AionLabs | ₽321/M | ₽642/M | ₽9 630 |
| gemini 3.1 pro | ₽214/M | ₽1 284/M | ₽10 700 | |
| GPT-4o | gpt 4o | ₽268/M | ₽1 070/M | ₽10 700 |
| gpt 5.2 | openai | ₽187/M | ₽1 498/M | ₽11 239 |
| gpt 5.2 codex | openai | ₽187/M | ₽1 498/M | ₽11 239 |
| gpt 5.3 codex | openai | ₽187/M | ₽1 498/M | ₽11 239 |
| gpt 5.6 terra | openai | ₽268/M | ₽1 605/M | ₽13 375 |
| gpt 5.6 terra pro | openai | ₽268/M | ₽1 605/M | ₽13 375 |
| gpt 5.4 | openai | ₽268/M | ₽1 609/M | ₽13 405 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽308/M | ₽1 541/M | ₽13 867 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽321/M | ₽1 605/M | ₽14 445 |
| kimi k3 | moonshotai | ₽321/M | ₽1 605/M | ₽14 445 |
| Kimi K3 Fast | kimi k3 fast api | ₽385/M | ₽1 926/M | ₽17 334 |
| Claude Opus 4.5 | claude opus 4 5 | ₽514/M | ₽2 568/M | ₽23 112 |
| Claude Opus 4.6 | claude opus 4 6 | ₽514/M | ₽2 568/M | ₽23 112 |
| Claude Opus 4.7 | claude opus 4 7 | ₽514/M | ₽2 568/M | ₽23 112 |
| claude opus 4.8 | anthropic | ₽514/M | ₽2 568/M | ₽23 112 |
| claude opus 5 | anthropic | ₽514/M | ₽2 568/M | ₽23 112 |
| gpt 5.5 | openai | ₽535/M | ₽3 210/M | ₽26 750 |
| gpt 5.6 sol | openai | ₽535/M | ₽3 210/M | ₽26 750 |
| gpt 5.6 sol pro | openai | ₽535/M | ₽3 210/M | ₽26 750 |
| claude fable 5 | anthropic | ₽1 027/M | ₽5 136/M | ₽46 224 |
| gpt 5.4 pro | openai | ₽3 210/M | ₽19 260/M | ₽160 501 |
| gpt 5.5 pro | openai | ₽3 210/M | ₽19 260/M | ₽160 501 |
Текст и чат
оплата за токены · 102
▼
Текст и чат
оплата за токены · 102
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen 2.5 7B | e2ee qwen 2 5 7b p | ₽4.28/M | ₽11.13/M | ₽141 |
| gpt oss 20b | openai | ₽4.28/M | ₽16.26/M | ₽167 |
| qwen3.5 9b | qwen | ₽8.56/M | ₽12.84/M | ₽235 |
| gpt oss 120b | openai | ₽5.99/M | ₽25.68/M | ₽248 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽6.42/M | ₽25.68/M | ₽257 |
| mistral-small-3.2-24b-instruct | mistral small 3 2 24b instruct | ₽8.03/M | ₽21.40/M | ₽268 |
| glm 4.7 flash | z ai | ₽5.14/M | ₽34.24/M | ₽274 |
| GLM 4.7 Flash Heretic | olafangensan glm 4.7 flash heretic | ₽5.99/M | ₽34.24/M | ₽291 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽10.27/M | ₽17.12/M | ₽291 |
| deepseek v4 flash | deepseek | ₽11.81/M | ₽23.54/M | ₽354 |
| Google Gemma 4 31B Instruct | google gemma 4 31b it | ₽10.27/M | ₽30.82/M | ₽360 |
| Google Gemma 4 26B A4B Instruct | google gemma 4 26b a4b it | ₽11.13/M | ₽34.24/M | ₽394 |
| Gemma 3 27B | e2ee gemma 3 27b p | ₽11.98/M | ₽42.80/M | ₽454 |
| glm 5.3 flash | z ai | ₽12.84/M | ₽42.80/M | ₽471 |
| Gemma 4 Uncensored | gemma 4 uncensored | ₽13.91/M | ₽42.80/M | ₽492 |
| Llama 3.2 3B | llama 3.2 3b | ₽12.84/M | ₽51.36/M | ₽514 |
| Qwen3 235B A22B Instruct | alibaba | ₽12.84/M | ₽64.20/M | ₽578 |
| qwen3.6 35b a3b | qwen | ₽8.56/M | ₽85.60/M | ₽599 |
| GPT-4o Mini | gpt 4o mini | ₽16.05/M | ₽64.20/M | ₽642 |
| mistral small 2603 | mistral small 2603 | ₽16.05/M | ₽64.20/M | ₽642 |
| Gemma 4 26B A4B Uncensored | e2ee gemma 4 26b a4b uncensored p | ₽16.26/M | ₽75.33/M | ₽702 |
| Venice Uncensored 1.2 | venice uncensored 1 2 | ₽17.12/M | ₽77.04/M | ₽728 |
| deepseek v3.2 | deepseek | ₽28.25/M | ₽41.09/M | ₽770 |
| Qwen3 VL 30B A3B | e2ee qwen3 vl 30b a3b p | ₽21.40/M | ₽77.04/M | ₽813 |
| Qwen 3.6 35B A3B FP8 | e2ee qwen3 6 35b a3b | ₽15.58/M | ₽101/M | ₽817 |
| minimax m2.5 | minimax | ₽23.11/M | ₽81.32/M | ₽869 |
| Mercury 2 | mercury 2 | ₽26.75/M | ₽80.25/M | ₽936 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| qwen3.5 35b a3b | qwen | ₽26.75/M | ₽107/M | ₽1 070 |
| gpt 5.6 luna | openai | ₽22.83/M | ₽137/M | ₽1 141 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.98/M | ₽163/M | ₽1 173 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽29.96/M | ₽128/M | ₽1 241 |
| minimax m2.7 | minimax | ₽32.10/M | ₽128/M | ₽1 284 |
| qwen3 next 80b | qwen3 next 80b | ₽29.96/M | ₽163/M | ₽1 412 |
| Qwen3.6 35B A3B Uncensored | e2ee qwen3 6 35b a3b uncensored p | ₽32.53/M | ₽161/M | ₽1 455 |
| glm 4.6 | z ai | ₽36.81/M | ₽150/M | ₽1 485 |
| mimo v2.5 | mimo v2.5 | ₽34.24/M | ₽171/M | ₽1 541 |
| Qwen 3.7 Plus | Qwen 3.7 Plus | ₽42.80/M | ₽171/M | ₽1 712 |
| Venice Role Play Uncensored | venice uncensored role play | ₽42.80/M | ₽171/M | ₽1 712 |
| qwen3.6 27b | qwen | ₽27.82/M | ₽278/M | ₽1 947 |
| gemini 3.5 flash lite | ₽32.10/M | ₽268/M | ₽1 980 | |
| glm 4.7 | z ai | ₽47.08/M | ₽227/M | ₽2 076 |
| Qwen 3.8 27B | qwen 3 8 27b | ₽38.52/M | ₽274/M | ₽2 140 |
| Aion-3.0-Mini | AionLabs | ₽74.90/M | ₽150/M | ₽2 247 |
| qwen3 235b a22b | qwen | ₽38.52/M | ₽300/M | ₽2 268 |
| Llama 3.3 70B | llama 3.3 70b | ₽59.92/M | ₽240/M | ₽2 397 |
| Nemotron 3 Ultra | nvidia | ₽53.50/M | ₽268/M | ₽2 408 |
| seed 2 1 turbo | seed 2 1 turbo | ₽53.50/M | ₽268/M | ₽2 408 |
| Kimi K2.5 | kimi k2.5 | ₽47.94/M | ₽300/M | ₽2 457 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| qwen 3 6 plus | qwen 3 6 plus | ₽53.50/M | ₽321/M | ₽2 675 |
| kimi k2.6 | moonshotai | ₽64.20/M | ₽300/M | ₽2 782 |
| kimi k2.7 code | moonshotai | ₽64.20/M | ₽300/M | ₽2 782 |
| Gemini 3 Flash | gemini 3 flash | ₽59.92/M | ₽321/M | ₽2 803 |
| GLM-5 | glm 5 | ₽85.60/M | ₽274/M | ₽3 082 |
| hermes 3 llama 3.1 405b | hermes 3 llama 3.1 405b | ₽94.16/M | ₽257/M | ₽3 167 |
| qwen3.5 397b a17b | qwen | ₽64.20/M | ₽385/M | ₽3 210 |
| gemini 3.6 flash | ₽80.25/M | ₽401/M | ₽3 611 | |
| gemini 3.7 flash | ₽80.25/M | ₽401/M | ₽3 611 | |
| grok 4.20 | x ai | ₽122/M | ₽242/M | ₽3 642 |
| grok 4.20 multi agent | x ai | ₽122/M | ₽242/M | ₽3 642 |
| grok 4.3 | x ai | ₽122/M | ₽242/M | ₽3 642 |
| glm 5.1 | z ai | ₽94.16/M | ₽355/M | ₽3 659 |
| glm 5 turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| gpt 5.4 mini | openai | ₽80.25/M | ₽482/M | ₽4 013 |
| deepseek v4 pro | deepseek | ₽141/M | ₽283/M | ₽4 238 |
| glm 5.2 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| Inkling | inkling | ₽107/M | ₽433/M | ₽4 307 |
| glm 5v turbo | z ai | ₽128/M | ₽428/M | ₽4 708 |
| glm 5.3 | z ai | ₽150/M | ₽471/M | ₽5 350 |
| gpt 5.6 luna pro | openai | ₽107/M | ₽642/M | ₽5 350 |
| gemini 3.5 flash | ₽133/M | ₽809/M | ₽6 698 | |
| grok 4.5 | x ai | ₽194/M | ₽582/M | ₽6 797 |
| grok 4.6 | grok 4.6 | ₽194/M | ₽582/M | ₽6 797 |
| Qwen 3.8 2.4T | qwen 3 8 2 4t a95b | ₽214/M | ₽642/M | ₽7 490 |
| Qwen 3.8 Max | Qwen 3.8 Max | ₽214/M | ₽642/M | ₽7 490 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| qwen 3.7 max | qwen 3.7 max | ₽231/M | ₽689/M | ₽8 068 |
| Aion-3.0 | AionLabs | ₽321/M | ₽642/M | ₽9 630 |
| gemini 3.1 pro | ₽214/M | ₽1 284/M | ₽10 700 | |
| GPT-4o | gpt 4o | ₽268/M | ₽1 070/M | ₽10 700 |
| gpt 5.2 | openai | ₽187/M | ₽1 498/M | ₽11 239 |
| gpt 5.2 codex | openai | ₽187/M | ₽1 498/M | ₽11 239 |
| gpt 5.3 codex | openai | ₽187/M | ₽1 498/M | ₽11 239 |
| gpt 5.6 terra | openai | ₽268/M | ₽1 605/M | ₽13 375 |
| gpt 5.6 terra pro | openai | ₽268/M | ₽1 605/M | ₽13 375 |
| gpt 5.4 | openai | ₽268/M | ₽1 609/M | ₽13 405 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽308/M | ₽1 541/M | ₽13 867 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽321/M | ₽1 605/M | ₽14 445 |
| kimi k3 | moonshotai | ₽321/M | ₽1 605/M | ₽14 445 |
| Kimi K3 Fast | kimi k3 fast api | ₽385/M | ₽1 926/M | ₽17 334 |
| Claude Opus 4.5 | claude opus 4 5 | ₽514/M | ₽2 568/M | ₽23 112 |
| Claude Opus 4.6 | claude opus 4 6 | ₽514/M | ₽2 568/M | ₽23 112 |
| Claude Opus 4.7 | claude opus 4 7 | ₽514/M | ₽2 568/M | ₽23 112 |
| claude opus 4.8 | anthropic | ₽514/M | ₽2 568/M | ₽23 112 |
| claude opus 5 | anthropic | ₽514/M | ₽2 568/M | ₽23 112 |
| gpt 5.5 | openai | ₽535/M | ₽3 210/M | ₽26 750 |
| gpt 5.6 sol | openai | ₽535/M | ₽3 210/M | ₽26 750 |
| gpt 5.6 sol pro | openai | ₽535/M | ₽3 210/M | ₽26 750 |
| claude fable 5 | anthropic | ₽1 027/M | ₽5 136/M | ₽46 224 |
| gpt 5.4 pro | openai | ₽3 210/M | ₽19 260/M | ₽160 501 |
| gpt 5.5 pro | openai | ₽3 210/M | ₽19 260/M | ₽160 501 |
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 102 моделей AI API. Средняя цена — ₽368/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽4.28/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 30.08.2026.