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GLM-4.5 (Reasoning)

Z AIGLMOpen WeightMIT · Commercial OK

描述

GLM-4.5 is an Agentic, Reasoning, and Coding (ARC) foundation model designed for intelligent agents, featuring 355 billion total parameters with 32 billion active parameters using MoE architecture. Trained on 23T tokens through multi-stage training, it is a hybrid reasoning model that provides two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses. The model unifies agentic, reasoning, and coding capabilities with 128K context length support. It achieves exceptional performance with a score of 63.2 across 12 industry-standard benchmarks, placing 3rd among all proprietary and open-source models. Released under MIT open-source license allowing commercial use and secondary development.

发布日期
2025-07-28
参数规模
355.0B
上下文长度
131K
支持模态
text

能力雷达图

41
general
44
coding
81
reasoning
50
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58
55.0
LS
代码能力榜125
54.0
AA
通用能力榜187
52.0
AA
数学推理76
82.0
AA
科学能力141
55.0
AA

基准测试分数 (LLM Stats)

Agents

BFCL-v377.8%自报
Terminal-Bench37.5%自报
BrowseComp26.4%自报

Biology

GPQA79.1%自报
SciCode41.7%自报

Code

LiveCodeBench72.9%自报
SWE-Bench Verified64.2%自报

Communication

TAU-bench Retail79.7%自报
TAU-bench Airline60.4%自报

Finance

MMLU-Pro84.6%自报

General

AA-Index67.7%自报

Math

MATH-50098.2%自报
AIME 202491.0%自报
Humanity's Last Exam14.4%自报

AA 评测指数

Math Index
73.7
Intelligence Index
26.4
Coding Index
26.3
Math 500
1.0
Aime
0.9
Mmlu Pro
0.8
Gpqa
0.8
Livecodebench
0.7
Aime 25
0.7
Lcr
0.5
Ifbench
0.4
Tau2
0.4
Scicode
0.3
Terminalbench Hard
0.2
Hle
0.1

LLM Stats 分类评分

Structured Output
80
Finance
80
General
80
Healthcare
80
Language
80
Legal
80
Tool Calling
70
Communication
70
Math
70
Biology
60
Chemistry
60
Frontend Development
60
Physics
60
Reasoning
60
Agents
50
Code
50
Search
30
Vision
10

定价

输入价格$0.6 / 1M tokens
输出价格$2.2 / 1M tokens
混合价格(3:1)$1 / 1M tokens

速度

Tokens/秒42.4 tokens/s
首Token延迟1.03s
首回答延迟48.20s

可用提供商

(LS 内部计价单位)

暂无提供商数据

外部链接