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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.

發布日期
2026-02-11
參數規模
744.0B
上下文長度
203K
支援模態
text

能力雷達圖

45
general
45
coding
82
reasoning
59
science估算
70
agents
0
multimodal

Science 在缺少專門科學評測時使用推理能力代理估算。

排行榜排名

領域#排名分數來源
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

基準測試分數 (LLM Stats)

Agents

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

Code

SWE-Bench Verified77.8%自報

AA 評測指數

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 分類評分

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

定價

輸入價格$1 / 1M tokens
輸出價格$3.2 / 1M tokens
混合價格(3:1)$1.55 / 1M tokens

速度

Tokens/秒67.1 tokens/s
首Token延遲0.68s
首回答延遲46.97s

可用提供商

(LS 內部計價單位)
提供商輸入價格輸出價格
ZAI1.0M3.2M

外部連結