跳转到主要内容

GLM-4.5-Air

Z AIGLM开源权重MIT · 商用许可

描述

GLM-4.5-Air is a more compact variant of GLM-4.5 designed for efficient Agentic, Reasoning, and Coding (ARC) applications. It features 106 billion total parameters with 12 billion active parameters using MoE architecture. Like GLM-4.5, it is a hybrid reasoning model providing thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses. Despite its compact design, GLM-4.5-Air delivers competitive performance with a score of 59.8 across 12 industry-standard benchmarks, ranking 6th overall while maintaining superior efficiency. It supports 128K context length and is released under MIT open-source license allowing commercial use.

发布日期
2025-07-28
参数规模
106.0B
上下文长度
131K
支持模态
text

能力雷达图

35
general
60
coding
79
reasoning
45
science
70
agents
0
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜86
42.0
LS
代码能力榜203
54.0
AA
通用能力榜291
45.0
AA
科学能力292
46.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BFCL-v376.4%自报
Terminal-Bench30.0%自报
BrowseCompOpenAI (2025)21.3%自报

Biology

GPQANYU + Cohere + Anthropic (2023)75.0%自报
SciCode37.3%自报

Code

LiveCodeBench70.7%自报
SWE-Bench Verified57.6%自报

Communication

TAU-bench Retail77.9%自报
TAU-bench Airline60.8%自报

Finance

MMLU-Pro81.4%自报

General

AA-Index64.8%自报

Math

MATH-50098.1%自报
AIME 202489.4%自报
Humanity's Last Exam10.6%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
80.7
Intelligence Index(Artificial Analysis)
16.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
1.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Aime 25(MAA (Mathematical Association of America))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.7
Aime(MAA (Mathematical Association of America))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.5
Lcr(Artificial Analysis)
0.5
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.1

LLM Stats 分类评分

(LLM Stats (zeroeval))
Legal
80
Structured Output
80
Language
80
Finance
80
Healthcare
80
Communication
70
Tool Calling
70
Math
60
Physics
60
Reasoning
60
Frontend Development
60
General
60
Biology
60
Chemistry
60
Code
50
Agents
40
Search
20
Vision
10

定价

输入价格$0.17 / 1M tokens
输出价格$0.98 / 1M tokens
混合价格(3:1)$0.372 / 1M tokens
缓存读取价格$0.03 / 1M tokens
缓存写入价格免费

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

9 个供应商

最便宜: ZenMux最贵: OrcaRouter
供应商输入输出
1ZenMux最便宜
$0.11
$0.56
2302.AI
$0.1143
$0.286
3OpenRouter
$0.13
$0.85
4Kilo Gateway
$0.13
$0.85
5LLM Gateway
$0.13
$0.85
6Z AI主要
$0.17
$0.98
7Z.AI
$0.2
$1.1
8Zhipu AI
$0.2
$1.1
9OrcaRouter
$0.2
$1.1

比较该模型在不同 API 供应商之间的定价。

外部链接