Model comparison

GLM-4.5-Air vs o1-mini

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 34.0 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

o1-mini OpenAI

34.0

Rank #235 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.5-Air scores higher in 7 categories and o1-mini in 1 category; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.5-Air leads 24.1 to 8.8.
  • GLM-4.5-Air has downloadable open weights; the other is API-only.

Side by side

GLM-4.5-Air and o1-mini specifications
GLM-4.5-Airo1-mini
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.934.0
Released2025-07-202024-09-12
WeightsOpenProprietary
Context window131K—
Max output98K—
Input $ / M tokens$0.20—
Output $ / M tokens$1.10—
Results tracked2739

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Category by category

Coding o1-mini leads

GLM-4.5-Air: 33.3 (#259), o1-mini: 35.5 (#224)

Coding benchmarks
BenchmarkGLM-4.5-Airo1-mini
LMArena Coding13971362
Aider Polyglot—32.9%
GSO2.9%—
WeirdML—36.3%
LiveBench Coding—48%
HumanEval+—89%
MBPP+—78.8%

Agentic & Tool Use Not comparable

GLM-4.5-Air: —, o1-mini: 24.6 (#118)

Agentic & Tool Use benchmarks
BenchmarkGLM-4.5-Airo1-mini
Cybench—10%

Reasoning GLM-4.5-Air leads

GLM-4.5-Air: 24.1 (#166), o1-mini: 8.8 (#346)

Reasoning benchmarks
BenchmarkGLM-4.5-Airo1-mini
LMArena Hard Prompts13791333
ARC-AGI-2—0.8%
SimpleBench—18.1%
Kagi LLM Benchmark43%—
ARC-AGI-1—14%
LiveBench Reasoning—72.3%
LiveBench Data Analysis—57.9%
Epoch Capabilities Index—135.82
ForecastBench59.2—
LiveBench—57.8%

Math Too close to call

GLM-4.5-Air: 36.2 (#170), o1-mini: 35.4 (#186)

Math benchmarks
BenchmarkGLM-4.5-Airo1-mini
LMArena Math13961358
OTIS Mock AIME 2024-2025—46.9%
Omni-MATH39.1%—
LiveBench Math—62%
MATH Level 5—89.2%
FrontierMath (Feb 2025 set)—1.7%

Knowledge Too close to call

GLM-4.5-Air: 35.0 (#191), o1-mini: 34.9 (#192)

Knowledge benchmarks
BenchmarkGLM-4.5-Airo1-mini
LMArena Expert13701316
GPQA Diamond—62.4%
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Confabulations—18.6%
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multilingual GLM-4.5-Air leads

GLM-4.5-Air: 49.1 (#135), o1-mini: 43.6 (#182)

Multilingual benchmarks
BenchmarkGLM-4.5-Airo1-mini
LMArena Non-English13661289
LMArena Chinese14261314
LMArena French13991293
LMArena German13771278
LMArena Japanese13481245
LMArena Korean13081223
LMArena Russian13731283
LMArena Spanish13861303

Instruction Following GLM-4.5-Air leads

GLM-4.5-Air: 69.6 (#171), o1-mini: 66.7 (#206)

Instruction Following benchmarks
BenchmarkGLM-4.5-Airo1-mini
LMArena Instruction Following13541304
LiveBench Instruction Following—65.4%
IFEval81.2%—

Long Context GLM-4.5-Air leads

GLM-4.5-Air: 41.6 (#135), o1-mini: 40.1 (#161)

Long Context benchmarks
BenchmarkGLM-4.5-Airo1-mini
LMArena Longer Query13661320

Writing & Preference GLM-4.5-Air leads

GLM-4.5-Air: 55.9 (#139), o1-mini: 48.4 (#202)

Writing & Preference benchmarks
BenchmarkGLM-4.5-Airo1-mini
LMArena Text13841317
LMArena Creative Writing13431244
LMArena Multi-Turn13711314
Short-Story Creative Writing—64.9%
WildBench78.9%—
LiveBench Language—40.9%

Frequently asked questions

Is GLM-4.5-Air better than o1-mini?

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 34.0 on the Noometry Index.

Is GLM-4.5-Air or o1-mini better for coding?

o1-mini scores higher on coding benchmarks: 35.5 versus 33.3 in the Noometry coding category.

How many benchmarks do GLM-4.5-Air and o1-mini share?

17 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and o1-mini has 39.

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