Venice AI

65 个模型
名称 输入模态 输出模态 上下文 输出限制 能力 知识截止
GLM 5.1 text text 200,000 24,000 🧠 🔧 📋 -
GLM 5 text text 198,000 32,000 🧠 🔧 📋 -
GLM 4.7 Flash text text 128,000 16,384 🧠 🔧 📋 -
GLM 4.7 text text 198,000 16,384 🧠 🔧 📋 2025-04
GLM 4.6 text text 198,000 16,384 🧠 🔧 📋 -
GLM 5V Turbo text, image text 200,000 32,768 🧠 🔧 📋 -
GLM 5 Turbo text text 200,000 32,768 🧠 🔧 📋 -
Venice Role Play Uncensored text, image text 128,000 4,096 🔧 📋 -
Venice Uncensored 1.2 text, image text 128,000 8,192 🔧 📋 -
Qwen3 VL 235B text, image text 256,000 16,384 🔧 📋 -
Qwen 3 Next 80b text text 256,000 16,384 🔧 📋 2025-07
Qwen 3 Coder 480B Turbo text text 256,000 65,536 🔧 📋 -
Qwen 3.6 27B text, image, video text 256,000 65,536 🧠 🔧 📋 -
Qwen 3.5 9B text, image text 256,000 32,768 🧠 🔧 📋 -
Qwen 3.5 397B text, image, video text 128,000 32,768 🧠 🔧 📋 -
Qwen 3.5 35B A3B text, image, video text 256,000 65,536 🧠 🔧 📋 -
Qwen 3 235B A22B Thinking 2507 text text 128,000 16,384 🧠 🔧 📋 2025-07
Qwen 3 235B A22B Instruct 2507 text text 128,000 16,384 🔧 📋 2025-07
Qwen 3.6 Plus Uncensored text, image, video text 1,000,000 65,536 🧠 🔧 📋 -
OpenAI GPT OSS 120B text text 128,000 16,384 🧠 🔧 2025-07
GPT-5.5 Pro text, image text 1,000,000 128,000 🧠 🔧 📋 -
GPT-5.5 text, image text 1,000,000 131,072 🧠 🔧 📋 -
GPT-5.4 Pro text, image text 1,000,000 128,000 🧠 🔧 📋 -
GPT-5.4 Mini text, image text 400,000 128,000 🧠 🔧 📋 -
GPT-5.4 text, image text 1,000,000 131,072 🧠 🔧 📋 -
GPT-5.3 Codex text, image text 400,000 128,000 🧠 🔧 📋 -
GPT-5.2 Codex text, image text 256,000 65,536 🧠 🔧 📋 2025-08
GPT-5.2 text text 256,000 65,536 🧠 🔧 📋 2025-08-31
GPT-4o Mini text, image text 128,000 16,384 🔧 📋 -
GPT-4o text, image text 128,000 16,384 🔧 📋 -
GLM 4.7 Flash Heretic text text 200,000 24,000 🧠 🔧 📋 -
Nemotron Cascade 2 30B A3B text text 256,000 32,768 🧠 🔧 📋 -
NVIDIA Nemotron 3 Nano 30B text text 128,000 16,384 🔧 📋 -
Mistral Small 3.2 24B Instruct text text 256,000 16,384 🔧 📋 -
Mistral Small 4 text, image text 256,000 65,536 🧠 🔧 📋 -
MiniMax M2.7 text text 198,000 32,768 🧠 🔧 -
MiniMax M2.5 text text 198,000 32,768 🧠 🔧 -
Mercury 2 text text 128,000 50,000 🧠 🔧 📋 -
Llama 3.3 70B text text 128,000 4,096 🔧 2023-12
Llama 3.2 3B text text 128,000 4,096 🔧 2023-12
Kimi K2.6 text, image text 256,000 65,536 🧠 🔧 📋 -
Kimi K2.5 text, image text 256,000 65,536 🧠 🔧 📋 2024-04
Hermes 3 Llama 3.1 405b text text 128,000 16,384 2024-04
Grok 4.1 Fast text, image text 1,000,000 30,000 🧠 🔧 📋 2025-07
Grok 4.3 text, image text 1,000,000 32,000 🧠 🔧 📋 -
Grok 4.20 Multi-Agent text, image text 2,000,000 128,000 🧠 📋 -
Grok 4.20 text, image text 2,000,000 128,000 🧠 🔧 📋 -
Google Gemma 4 31B Instruct text, image, video text 256,000 8,192 🧠 🔧 📋 -
Google Gemma 4 26B A4B Instruct text, image, video text 256,000 8,192 🧠 🔧 📋 -
Google Gemma 3 27B Instruct text, image text 198,000 16,384 🔧 📋 2025-07
Gemma 4 Uncensored text, image text 256,000 8,192 🔧 📋 -
Gemini 3 Flash Preview text, image, audio, video, pdf text 256,000 65,536 🧠 🔧 📋 2025-01
Gemini 3.1 Pro Preview text, image, audio, video text 1,000,000 32,768 🧠 🔧 📋 -
DeepSeek V4 Pro text text 1,000,000 32,768 🧠 🔧 📋 -
DeepSeek V4 Flash text text 1,000,000 32,768 🧠 🔧 📋 -
DeepSeek V3.2 text text 160,000 32,768 🧠 🔧 📋 2025-10
Claude Sonnet 4.6 text, image text 1,000,000 64,000 🧠 🔧 📋 2025-08-31
Claude Sonnet 4.5 text, image text 198,000 64,000 🧠 🔧 📋 -
Claude Opus 4.7 Fast text, image text 1,000,000 128,000 🧠 🔧 📋 -
Claude Opus 4.7 text, image text 1,000,000 128,000 🧠 🔧 📋 -
Claude Opus 4.6 Fast text, image text 1,000,000 128,000 🧠 🔧 📋 2025-05-31
Claude Opus 4.6 text, image text 1,000,000 128,000 🧠 🔧 📋 2025-05-31
Claude Opus 4.5 text, image text 198,000 32,768 🧠 🔧 📋 -
Trinity Large Thinking text text 256,000 65,536 🧠 🔧 📋 -
Aion 2.0 text text 128,000 32,768 🧠 -