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GLM-4.5-Air

Z AIGLMOpen WeightMIT · Commercial OK

Description

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.

Release Date
2025-07-28
Parameters
106.0B
Context Length
131K
Modalities
text

Capability Radar

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

Rankings

Domain#RankScoreSource
Agentic Capability86
42.0
LS
Code Ranking203
54.0
AA
General Ranking291
45.0
AA
Science292
46.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

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

Code

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

Communication

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

Finance

MMLU-Pro81.4%SR

General

AA-Index64.8%SR

Math

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

AA Evaluation Indices

(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 Category Scores

(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

Pricing

Input Price$0.17 / 1M tokens
Output Price$0.98 / 1M tokens
Blended Price (3:1)$0.372 / 1M tokens
Cache Read Price$0.03 / 1M tokens
Cache Write PriceFree

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

9 providers

Cheapest: ZenMuxMost Expensive: OrcaRouter
ProviderInputOutput
1ZenMuxCheapest
$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 AIPRIMARY
$0.17
$0.98
7Z.AI
$0.2
$1.1
8Zhipu AI
$0.2
$1.1
9OrcaRouter
$0.2
$1.1

Compare pricing across different API providers for this model.

External Sources