Privacy-first uncensored API: 90 LLM, zero retention, TEE/E2EE
- Моделей
- 119
- Средняя цена
- ₽379/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 = 83.76 ₽ · 1 CNY = 12.4991 ₽ · 16.10.2026
119 моделей
Текст и чат
оплата за токены · 119
▼
Текст и чат
оплата за токены · 119
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen 2.5 7B | Qwen | ₽4.19/M | ₽10.89/M | ₽138 |
| qwen3.5 9b | Qwen | ₽8.38/M | ₽12.56/M | ₽230 |
| gpt oss 120b | OpenAI | ₽5.86/M | ₽25.13/M | ₽243 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽6.28/M | ₽25.13/M | ₽251 |
| mistral small 3.2 24b instruct | Mistral | ₽7.85/M | ₽20.94/M | ₽262 |
| glm 4.7 flash | Z.ai | ₽5.03/M | ₽33.50/M | ₽268 |
| GLM 4.7 Flash Heretic | olafangensan glm 4.7 flash heretic | ₽5.86/M | ₽33.50/M | ₽285 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽10.05/M | ₽16.75/M | ₽285 |
| deepseek v4 flash | DeepSeek | ₽10.89/M | ₽21.78/M | ₽327 |
| Google Gemma 4 31B Instruct | google gemma 4 31b it | ₽10.05/M | ₽30.15/M | ₽352 |
| Google Gemma 4 26B A4B Instruct | google gemma 4 26b a4b it | ₽10.89/M | ₽33.50/M | ₽385 |
| MiMo-V2.6-Flash | Xiaomi | ₽14.66/M | ₽29.32/M | ₽440 |
| Qwen 3.8 Flash | Qwen | ₽11.73/M | ₽41.04/M | ₽440 |
| glm 5.3 flash | Z.ai | ₽12.56/M | ₽41.88/M | ₽461 |
| gpt 6 luna | OpenAI | ₽10.47/M | ₽52.35/M | ₽471 |
| Gemma 4 Uncensored | gemma 4 uncensored | ₽13.61/M | ₽41.88/M | ₽482 |
| Llama 3.2 3B | Meta | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽12.56/M | ₽62.82/M | ₽565 |
| qwen3.6 35b a3b | Qwen | ₽8.38/M | ₽83.76/M | ₽586 |
| gpt 4o mini | OpenAI | ₽15.71/M | ₽62.82/M | ₽628 |
| Qwen3.5-35B-A3B | Qwen | ₽12.56/M | ₽83.76/M | ₽670 |
| Gemma 4 26B A4B Uncensored | e2ee gemma 4 26b a4b uncensored p | ₽15.91/M | ₽73.71/M | ₽687 |
| Venice Uncensored 1.2 | venice uncensored 1 2 | ₽16.75/M | ₽75.38/M | ₽712 |
| deepseek v3.2 | DeepSeek | ₽27.64/M | ₽40.20/M | ₽754 |
| Qwen3 VL 30B A3B | e2ee qwen3 vl 30b a3b p | ₽20.94/M | ₽75.38/M | ₽796 |
| Qwen 3.6 35B A3B FP8 | Qwen | ₽15.24/M | ₽98.84/M | ₽799 |
| Mercury 2.5 | mercury 2.5 | ₽20.94/M | ₽78.53/M | ₽811 |
| MiniMax M2.5 | MiniMax | ₽22.62/M | ₽79.57/M | ₽850 |
| mercury 2 | mercury 2 | ₽26.18/M | ₽78.53/M | ₽916 |
| deepseek v4.1 flash | DeepSeek | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m3 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| gpt 5.6 luna | OpenAI | ₽20.94/M | ₽126/M | ₽1 047 |
| gpt 5.6 luna pro | OpenAI | ₽20.94/M | ₽126/M | ₽1 047 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.59/M | ₽159/M | ₽1 148 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽29.32/M | ₽126/M | ₽1 215 |
| minimax m2.7 | MiniMax | ₽31.41/M | ₽126/M | ₽1 256 |
| qwen3 next 80b | qwen3 next 80b | ₽29.32/M | ₽159/M | ₽1 382 |
| GLM 4.6 | Z.ai | ₽36.02/M | ₽147/M | ₽1 453 |
| MiMo-V2.5 | Xiaomi | ₽33.50/M | ₽168/M | ₽1 508 |
| Qwen 3.7 Plus | Qwen | ₽41.88/M | ₽168/M | ₽1 675 |
| Venice Role Play Uncensored | venice uncensored role play | ₽41.88/M | ₽168/M | ₽1 675 |
| claude haiku 5 5 | Anthropic | ₽41.88/M | ₽209/M | ₽1 885 |
| qwen3.6 27b | Qwen | ₽27.22/M | ₽272/M | ₽1 906 |
| gemini 3.5 flash lite | ₽31.41/M | ₽262/M | ₽1 937 | |
| glm 4.7 | Z.ai | ₽46.07/M | ₽222/M | ₽2 031 |
| Qwen 3.8 27B | Qwen | ₽37.69/M | ₽268/M | ₽2 094 |
| Aion 3.5 Mini | AionLabs | ₽73.29/M | ₽147/M | ₽2 199 |
| Aion-3.0-Mini | AionLabs | ₽73.29/M | ₽147/M | ₽2 199 |
| qwen3 235b a22b | Qwen | ₽37.69/M | ₽293/M | ₽2 220 |
| Qwen 3.8 27B | Qwen | ₽39.37/M | ₽296/M | ₽2 266 |
| Llama 3.3 70B | Meta | ₽58.63/M | ₽235/M | ₽2 345 |
| Nemotron 3 Ultra | NVIDIA | ₽52.35/M | ₽262/M | ₽2 356 |
| seed 2.1 turbo | seed 2.1 turbo | ₽52.35/M | ₽262/M | ₽2 356 |
| Kimi K2.5 | MoonshotAI | ₽46.91/M | ₽293/M | ₽2 404 |
| Grok Build 0.1 | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| qwen 3 6 plus | Qwen | ₽52.35/M | ₽314/M | ₽2 618 |
| kimi k2.6 | MoonshotAI | ₽62.82/M | ₽293/M | ₽2 722 |
| kimi k2.7 code | MoonshotAI | ₽62.82/M | ₽293/M | ₽2 722 |
| gemini 3 flash | ₽58.63/M | ₽314/M | ₽2 743 | |
| glm 5 | Z.ai | ₽83.76/M | ₽268/M | ₽3 015 |
| hermes 3 llama 3.1 405b | hermes 3 llama 3.1 405b | ₽92.14/M | ₽251/M | ₽3 099 |
| qwen3.5 397b a17b | Qwen | ₽62.82/M | ₽377/M | ₽3 141 |
| gemini 3.6 flash | ₽78.53/M | ₽393/M | ₽3 534 | |
| gemini 3.7 flash | ₽78.53/M | ₽393/M | ₽3 534 | |
| gemini 3.8 flash | ₽78.53/M | ₽393/M | ₽3 534 | |
| grok 4.20 | xAI | ₽119/M | ₽237/M | ₽3 564 |
| Grok 4.20 Multi-Agent | xAI | ₽119/M | ₽237/M | ₽3 564 |
| grok 4.3 | xAI | ₽119/M | ₽237/M | ₽3 564 |
| glm 5 turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| gpt 5.4 mini | OpenAI | ₽78.53/M | ₽471/M | ₽3 926 |
| deepseek v4 pro | DeepSeek | ₽138/M | ₽276/M | ₽4 147 |
| glm 5.2 | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| Inkling | inkling | ₽105/M | ₽424/M | ₽4 214 |
| glm 5.1 | Z.ai | ₽129/M | ₽405/M | ₽4 607 |
| GLM 5V Turbo | Z.ai | ₽126/M | ₽419/M | ₽4 607 |
| glm 5.3 | Z.ai | ₽147/M | ₽461/M | ₽5 235 |
| gemini 3.5 flash | ₽130/M | ₽792/M | ₽6 554 | |
| grok 4.5 | xAI | ₽190/M | ₽570/M | ₽6 651 |
| grok 4.6 | xAI | ₽190/M | ₽570/M | ₽6 651 |
| grok 4.7 | xAI | ₽190/M | ₽570/M | ₽6 651 |
| Abliterated Large V2 | abliteration abliterated model large v2 | ₽251/M | ₽419/M | ₽7 120 |
| Qwen 3.8 2.4T | Qwen | ₽209/M | ₽628/M | ₽7 329 |
| qwen3.8 max | Qwen | ₽209/M | ₽628/M | ₽7 329 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Qwen 3.7 Max | Qwen | ₽226/M | ₽674/M | ₽7 894 |
| Aion 3.5 | AionLabs | ₽314/M | ₽628/M | ₽9 423 |
| Aion-3.0 | AionLabs | ₽314/M | ₽628/M | ₽9 423 |
| Gemini 4 Argon | ₽209/M | ₽1 047/M | ₽9 423 | |
| gpt 6 sol | OpenAI | ₽209/M | ₽1 047/M | ₽9 423 |
| gpt 6.1 sol | OpenAI | ₽209/M | ₽1 047/M | ₽9 423 |
| Gemini 3.1 Pro | ₽209/M | ₽1 256/M | ₽10 470 | |
| gpt 4o | OpenAI | ₽262/M | ₽1 047/M | ₽10 470 |
| gpt 5.6 terra | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| gpt 5.6 terra pro | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| gpt 5.2 | OpenAI | ₽183/M | ₽1 466/M | ₽10 998 |
| gpt 5.3 codex | OpenAI | ₽183/M | ₽1 466/M | ₽10 998 |
| claude sonnet 4.5 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| gpt 5.4 | OpenAI | ₽262/M | ₽1 575/M | ₽13 117 |
| kimi k3 | MoonshotAI | ₽314/M | ₽1 571/M | ₽14 135 |
| claude opus 5.5 | Anthropic | ₽335/M | ₽1 675/M | ₽15 077 |
| Kimi K3 Fast | kimi k3 fast api | ₽377/M | ₽1 885/M | ₽16 961 |
| claude opus 4.5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.6 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.7 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.8 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| gpt 5.6 sol | OpenAI | ₽419/M | ₽2 094/M | ₽18 846 |
| gpt 5.6 sol pro | OpenAI | ₽419/M | ₽2 094/M | ₽18 846 |
| Muse Wonder | Meta | ₽419/M | ₽2 094/M | ₽18 846 |
| gpt 5.5 | OpenAI | ₽524/M | ₽3 141/M | ₽26 175 |
| claude fable 5 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| claude fable 5.1 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| gpt 6 astra | OpenAI | ₽838/M | ₽4 188/M | ₽37 692 |
| gpt 6 astra pro | OpenAI | ₽1 047/M | ₽5 235/M | ₽47 115 |
| GPT-6.1 Sol Ultrafast | OpenAI | ₽1 256/M | ₽6 282/M | ₽56 538 |
| gpt 5.4 pro | OpenAI | ₽3 141/M | ₽18 846/M | ₽157 050 |
| gpt 5.5 pro | OpenAI | ₽3 141/M | ₽18 846/M | ₽157 050 |
Текст и чат
оплата за токены · 119
▼
Текст и чат
оплата за токены · 119
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen 2.5 7B | Qwen | ₽4.19/M | ₽10.89/M | ₽138 |
| qwen3.5 9b | Qwen | ₽8.38/M | ₽12.56/M | ₽230 |
| gpt oss 120b | OpenAI | ₽5.86/M | ₽25.13/M | ₽243 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽6.28/M | ₽25.13/M | ₽251 |
| mistral small 3.2 24b instruct | Mistral | ₽7.85/M | ₽20.94/M | ₽262 |
| glm 4.7 flash | Z.ai | ₽5.03/M | ₽33.50/M | ₽268 |
| GLM 4.7 Flash Heretic | olafangensan glm 4.7 flash heretic | ₽5.86/M | ₽33.50/M | ₽285 |
| Google Gemma 3 27B It | google gemma 3 27b it | ₽10.05/M | ₽16.75/M | ₽285 |
| deepseek v4 flash | DeepSeek | ₽10.89/M | ₽21.78/M | ₽327 |
| Google Gemma 4 31B Instruct | google gemma 4 31b it | ₽10.05/M | ₽30.15/M | ₽352 |
| Google Gemma 4 26B A4B Instruct | google gemma 4 26b a4b it | ₽10.89/M | ₽33.50/M | ₽385 |
| MiMo-V2.6-Flash | Xiaomi | ₽14.66/M | ₽29.32/M | ₽440 |
| Qwen 3.8 Flash | Qwen | ₽11.73/M | ₽41.04/M | ₽440 |
| glm 5.3 flash | Z.ai | ₽12.56/M | ₽41.88/M | ₽461 |
| gpt 6 luna | OpenAI | ₽10.47/M | ₽52.35/M | ₽471 |
| Gemma 4 Uncensored | gemma 4 uncensored | ₽13.61/M | ₽41.88/M | ₽482 |
| Llama 3.2 3B | Meta | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽12.56/M | ₽62.82/M | ₽565 |
| qwen3.6 35b a3b | Qwen | ₽8.38/M | ₽83.76/M | ₽586 |
| gpt 4o mini | OpenAI | ₽15.71/M | ₽62.82/M | ₽628 |
| Qwen3.5-35B-A3B | Qwen | ₽12.56/M | ₽83.76/M | ₽670 |
| Gemma 4 26B A4B Uncensored | e2ee gemma 4 26b a4b uncensored p | ₽15.91/M | ₽73.71/M | ₽687 |
| Venice Uncensored 1.2 | venice uncensored 1 2 | ₽16.75/M | ₽75.38/M | ₽712 |
| deepseek v3.2 | DeepSeek | ₽27.64/M | ₽40.20/M | ₽754 |
| Qwen3 VL 30B A3B | e2ee qwen3 vl 30b a3b p | ₽20.94/M | ₽75.38/M | ₽796 |
| Qwen 3.6 35B A3B FP8 | Qwen | ₽15.24/M | ₽98.84/M | ₽799 |
| Mercury 2.5 | mercury 2.5 | ₽20.94/M | ₽78.53/M | ₽811 |
| MiniMax M2.5 | MiniMax | ₽22.62/M | ₽79.57/M | ₽850 |
| mercury 2 | mercury 2 | ₽26.18/M | ₽78.53/M | ₽916 |
| deepseek v4.1 flash | DeepSeek | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m3 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| gpt 5.6 luna | OpenAI | ₽20.94/M | ₽126/M | ₽1 047 |
| gpt 5.6 luna pro | OpenAI | ₽20.94/M | ₽126/M | ₽1 047 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.59/M | ₽159/M | ₽1 148 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽29.32/M | ₽126/M | ₽1 215 |
| minimax m2.7 | MiniMax | ₽31.41/M | ₽126/M | ₽1 256 |
| qwen3 next 80b | qwen3 next 80b | ₽29.32/M | ₽159/M | ₽1 382 |
| GLM 4.6 | Z.ai | ₽36.02/M | ₽147/M | ₽1 453 |
| MiMo-V2.5 | Xiaomi | ₽33.50/M | ₽168/M | ₽1 508 |
| Qwen 3.7 Plus | Qwen | ₽41.88/M | ₽168/M | ₽1 675 |
| Venice Role Play Uncensored | venice uncensored role play | ₽41.88/M | ₽168/M | ₽1 675 |
| claude haiku 5 5 | Anthropic | ₽41.88/M | ₽209/M | ₽1 885 |
| qwen3.6 27b | Qwen | ₽27.22/M | ₽272/M | ₽1 906 |
| gemini 3.5 flash lite | ₽31.41/M | ₽262/M | ₽1 937 | |
| glm 4.7 | Z.ai | ₽46.07/M | ₽222/M | ₽2 031 |
| Qwen 3.8 27B | Qwen | ₽37.69/M | ₽268/M | ₽2 094 |
| Aion 3.5 Mini | AionLabs | ₽73.29/M | ₽147/M | ₽2 199 |
| Aion-3.0-Mini | AionLabs | ₽73.29/M | ₽147/M | ₽2 199 |
| qwen3 235b a22b | Qwen | ₽37.69/M | ₽293/M | ₽2 220 |
| Qwen 3.8 27B | Qwen | ₽39.37/M | ₽296/M | ₽2 266 |
| Llama 3.3 70B | Meta | ₽58.63/M | ₽235/M | ₽2 345 |
| Nemotron 3 Ultra | NVIDIA | ₽52.35/M | ₽262/M | ₽2 356 |
| seed 2.1 turbo | seed 2.1 turbo | ₽52.35/M | ₽262/M | ₽2 356 |
| Kimi K2.5 | MoonshotAI | ₽46.91/M | ₽293/M | ₽2 404 |
| Grok Build 0.1 | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| qwen 3 6 plus | Qwen | ₽52.35/M | ₽314/M | ₽2 618 |
| kimi k2.6 | MoonshotAI | ₽62.82/M | ₽293/M | ₽2 722 |
| kimi k2.7 code | MoonshotAI | ₽62.82/M | ₽293/M | ₽2 722 |
| gemini 3 flash | ₽58.63/M | ₽314/M | ₽2 743 | |
| glm 5 | Z.ai | ₽83.76/M | ₽268/M | ₽3 015 |
| hermes 3 llama 3.1 405b | hermes 3 llama 3.1 405b | ₽92.14/M | ₽251/M | ₽3 099 |
| qwen3.5 397b a17b | Qwen | ₽62.82/M | ₽377/M | ₽3 141 |
| gemini 3.6 flash | ₽78.53/M | ₽393/M | ₽3 534 | |
| gemini 3.7 flash | ₽78.53/M | ₽393/M | ₽3 534 | |
| gemini 3.8 flash | ₽78.53/M | ₽393/M | ₽3 534 | |
| grok 4.20 | xAI | ₽119/M | ₽237/M | ₽3 564 |
| Grok 4.20 Multi-Agent | xAI | ₽119/M | ₽237/M | ₽3 564 |
| grok 4.3 | xAI | ₽119/M | ₽237/M | ₽3 564 |
| glm 5 turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| gpt 5.4 mini | OpenAI | ₽78.53/M | ₽471/M | ₽3 926 |
| deepseek v4 pro | DeepSeek | ₽138/M | ₽276/M | ₽4 147 |
| glm 5.2 | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| Inkling | inkling | ₽105/M | ₽424/M | ₽4 214 |
| glm 5.1 | Z.ai | ₽129/M | ₽405/M | ₽4 607 |
| GLM 5V Turbo | Z.ai | ₽126/M | ₽419/M | ₽4 607 |
| glm 5.3 | Z.ai | ₽147/M | ₽461/M | ₽5 235 |
| gemini 3.5 flash | ₽130/M | ₽792/M | ₽6 554 | |
| grok 4.5 | xAI | ₽190/M | ₽570/M | ₽6 651 |
| grok 4.6 | xAI | ₽190/M | ₽570/M | ₽6 651 |
| grok 4.7 | xAI | ₽190/M | ₽570/M | ₽6 651 |
| Abliterated Large V2 | abliteration abliterated model large v2 | ₽251/M | ₽419/M | ₽7 120 |
| Qwen 3.8 2.4T | Qwen | ₽209/M | ₽628/M | ₽7 329 |
| qwen3.8 max | Qwen | ₽209/M | ₽628/M | ₽7 329 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Qwen 3.7 Max | Qwen | ₽226/M | ₽674/M | ₽7 894 |
| Aion 3.5 | AionLabs | ₽314/M | ₽628/M | ₽9 423 |
| Aion-3.0 | AionLabs | ₽314/M | ₽628/M | ₽9 423 |
| Gemini 4 Argon | ₽209/M | ₽1 047/M | ₽9 423 | |
| gpt 6 sol | OpenAI | ₽209/M | ₽1 047/M | ₽9 423 |
| gpt 6.1 sol | OpenAI | ₽209/M | ₽1 047/M | ₽9 423 |
| Gemini 3.1 Pro | ₽209/M | ₽1 256/M | ₽10 470 | |
| gpt 4o | OpenAI | ₽262/M | ₽1 047/M | ₽10 470 |
| gpt 5.6 terra | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| gpt 5.6 terra pro | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| gpt 5.2 | OpenAI | ₽183/M | ₽1 466/M | ₽10 998 |
| gpt 5.3 codex | OpenAI | ₽183/M | ₽1 466/M | ₽10 998 |
| claude sonnet 4.5 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| gpt 5.4 | OpenAI | ₽262/M | ₽1 575/M | ₽13 117 |
| kimi k3 | MoonshotAI | ₽314/M | ₽1 571/M | ₽14 135 |
| claude opus 5.5 | Anthropic | ₽335/M | ₽1 675/M | ₽15 077 |
| Kimi K3 Fast | kimi k3 fast api | ₽377/M | ₽1 885/M | ₽16 961 |
| claude opus 4.5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.6 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.7 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.8 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| gpt 5.6 sol | OpenAI | ₽419/M | ₽2 094/M | ₽18 846 |
| gpt 5.6 sol pro | OpenAI | ₽419/M | ₽2 094/M | ₽18 846 |
| Muse Wonder | Meta | ₽419/M | ₽2 094/M | ₽18 846 |
| gpt 5.5 | OpenAI | ₽524/M | ₽3 141/M | ₽26 175 |
| claude fable 5 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| claude fable 5.1 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| gpt 6 astra | OpenAI | ₽838/M | ₽4 188/M | ₽37 692 |
| gpt 6 astra pro | OpenAI | ₽1 047/M | ₽5 235/M | ₽47 115 |
| GPT-6.1 Sol Ultrafast | OpenAI | ₽1 256/M | ₽6 282/M | ₽56 538 |
| gpt 5.4 pro | OpenAI | ₽3 141/M | ₽18 846/M | ₽157 050 |
| gpt 5.5 pro | OpenAI | ₽3 141/M | ₽18 846/M | ₽157 050 |
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 119 моделей AI API. Средняя цена — ₽379/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽4.19/M (Qwen 2.5 7B).
Сравните цены на Qwen 2.5 7B , qwen3.5 9b , gpt oss 120b , Nemotron 3 Nano 30B A3B и mistral small 3.2 24b instruct у других провайдеров или в каталоге агрегаторов . Данные обновлены 15.10.2026.