GLM-5 (Reasoning)
Z AIGLMOpen WeightMIT · Commercial OK
描述
GLM-5 is Zhipu AI's flagship foundation model designed for complex system engineering and long-range Agent tasks, shifting focus from coding to engineering. It features 744B total parameters (40B activated) in a Mixture of Experts architecture, trained on 28.5T tokens. GLM-5 integrates DeepSeek Sparse Attention for higher token efficiency while preserving long-context quality. It supports 200K context length and 128K max output tokens, with capabilities including thinking modes, real-time streaming, function calling, context caching, and structured output. GLM-5 approaches Claude Opus 4.5 in code-logic density and systems-engineering capability.
发布日期
2026-02-11
参数规模
744.0B
上下文长度
203K
支持模态
text
能力雷达图
45
general
45
coding
82
reasoning
59
science估算
70
agents
0
multimodal
Science 在缺少专门科学评测时使用推理能力代理估算。
排行榜排名
基准测试分数 (LLM Stats)
Agents
t2-bench
89.7%自报
BrowseComp
75.9%自报
MCP Atlas
67.8%自报
Terminal-Bench 2.0
56.2%自报
Code
SWE-Bench Verified
77.8%自报
AA 评测指数
Intelligence Index49.8
Coding Index44.2
Tau21.0
Gpqa0.8
Ifbench0.7
Lcr0.6
Scicode0.5
Terminalbench Hard0.4
Hle0.3
LLM Stats 分类评分
Frontend Development80
Search80
Tool Calling70
Agents70
Code70
Reasoning70
定价
输入价格$1 / 1M tokens
输出价格$3.2 / 1M tokens
混合价格(3:1)$1.55 / 1M tokens
速度
Tokens/秒67.1 tokens/s
首Token延迟0.68s
首回答延迟46.97s
可用提供商
(LS 内部计价单位)| 提供商 | 输入价格 | 输出价格 |
|---|---|---|
| ZAI | 1.0M | 3.2M |