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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

领域#排名分数来源
智能体与工具14
71.0
LS
代码能力榜34
76.0
AA
通用能力榜19
87.0
AA
科学能力34
75.0
AA

基准测试分数 (LLM Stats)

Agents

t2-bench89.7%自报
BrowseComp75.9%自报
MCP Atlas67.8%自报
Terminal-Bench 2.056.2%自报

Code

SWE-Bench Verified77.8%自报

AA 评测指数

Intelligence Index
49.8
Coding Index
44.2
Tau2
1.0
Gpqa
0.8
Ifbench
0.7
Lcr
0.6
Scicode
0.5
Terminalbench Hard
0.4
Hle
0.3

LLM Stats 分类评分

Frontend Development
80
Search
80
Tool Calling
70
Agents
70
Code
70
Reasoning
70

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
ZAI1.0M3.2M

外部链接