Synthetic

33 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 196,608 65,536 🧠 🔧 📋 -
GLM-5 text text 196,608 65,536 🧠 🔧 📋 -
GLM-4.7-Flash text text 196,608 65,536 🧠 🔧 📋 -
GLM 4.7 text text 200,000 64,000 🧠 🔧 2025-04
GLM 4.6 text text 200,000 64,000 🧠 🔧 2025-04
Qwen3.5-97B-A17B text, image text 262,144 65,536 🧠 🔧 📋 -
Qwen 3 Coder 480B text text 256,000 32,000 🔧 2025-04
Qwen3 235B A22B Thinking 2507 text text 256,000 32,000 🧠 🔧 2025-04
Qwen 3 235B Instruct text text 256,000 32,000 🔧 2025-04
Qwen2.5-Coder-32B-Instruct text text 32,768 32,768 2024-10
GPT OSS 120B text text 128,000 32,768 🧠 🔧 -
Nemotron 3 Super 120B text text 262,144 65,536 🧠 🔧 📋 2024-04
Kimi K2.5 (NVFP4) text, image text 262,144 65,536 🧠 🔧 2025-01
Kimi K2.6 text, image text 262,144 65,536 🧠 🔧 📋 2025-01
Kimi K2.5 text, image text 262,144 65,536 🧠 🔧 2025-01
Kimi K2 Thinking text text 262,144 262,144 🧠 🔧 2025-11
Kimi K2 0905 text text 262,144 32,768 🔧 2024-10
MiniMax-M2.5 text text 191,488 65,536 🧠 🔧 📋 -
MiniMax-M2.1 text text 204,800 131,072 🧠 🔧 -
MiniMax-M2 text text 196,608 131,000 🧠 🔧 -
Llama-4-Scout-17B-16E-Instruct text, image text 328,000 4,096 🔧 2024-08
Llama-4-Maverick-17B-128E-Instruct-FP8 text, image text 524,000 4,096 🔧 2024-08
Llama-3.3-70B-Instruct text text 128,000 32,768 🧠 🔧 2023-12
Llama-3.1-8B-Instruct text text 128,000 32,768 🧠 🔧 2023-12
Llama-3.1-70B-Instruct text text 128,000 32,768 🧠 🔧 2023-12
Llama-3.1-405B-Instruct text text 128,000 32,768 🧠 🔧 2023-12
DeepSeek V3.2 text text 162,816 8,000 🧠 🔧 📋 -
DeepSeek V3.1 Terminus text text 128,000 128,000 🧠 🔧 -
DeepSeek V3.1 text text 128,000 128,000 🧠 🔧 -
DeepSeek V3 (0324) text text 128,000 128,000 🔧 -
DeepSeek V3 text text 128,000 128,000 🧠 🔧 2024-07
DeepSeek R1 (0528) text text 128,000 128,000 🧠 🔧 -
DeepSeek R1 text text 128,000 128,000 🧠 🔧 2025-01