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GLM 4.5 Air

z-ai/GLM-4.5-Air
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GLM 4.5 Air

z-ai/GLM-4.5-Air
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GLM-4.5-Air is a 106B total / 12B active parameter model designed to unify frontier reasoning, coding, and agentic capabilities. On the SWE-bench Verified benchmark, it delivers the best performance at its scale with a competitive performance-to-cost ratio.

Added Apr 15, 2025

Model weights

Context Window

128.0K

Max Output

98.3K

Avg output tokens (7d)

197 tokens

14%

Input Price (Auto)

$0.12/1M

Output Price (Auto)

$0.80/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

11.1

Better than 43% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

46.5%

Better than 50% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

46.7%

Better than 42% of models compared

Reasoning

HLE

Humanity's Last Exam

7.0%

Better than 42% of models compared

IFBench

Instruction-following benchmark

37.6%

Better than 32% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

20.5%

Better than 60% of models compared

LiveCodeBench

Contamination-free coding benchmark

68.4%

Better than 76% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

80.7%

Better than 77% of models compared

AIME

American Invitational Mathematics Examination

67.3%

Better than 77% of models compared

Math-500

Diverse mathematical problem solving benchmark

96.5%

Better than 84% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

81.5%

Better than 75% of models compared

AA-Omniscience Accuracy

Proportion of correctly answered questions

16.3%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

92.9%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

73.3%

Better than 54% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

46.7%

Better than 42% of models compared

Last updated Oct 2, 2026

Artificial Analysis

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