Noometry

Model comparison

GLM-4.5-Air vs GPT-4.5

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 37.2 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.5-Air scores higher in 4 categories and GPT-4.5 in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.5-Air leads 24.1 to 13.9.
  • GLM-4.5-Air has downloadable open weights; the other is API-only.

Side by side

GLM-4.5-AirGPT-4.5
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.937.2
Released2025-07-202025-02-27
WeightsOpenProprietary
Context window131K—
Max output98K—
Input $ / M tokens$0.20—
Output $ / M tokens$1.10—
Results tracked2742

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Category by category

Coding GPT-4.5 leads

GLM-4.5-Air: 33.3 (#259), GPT-4.5: 42.2 (#109)

BenchmarkGLM-4.5-AirGPT-4.5
LMArena Coding13971396
Aider Polyglot—44.9%
GSO2.9%—
WeirdML—39.4%
LiveBench Coding—75.2%

Agentic & Tool Use Not comparable

GLM-4.5-Air: —, GPT-4.5: 27.9 (#97)

BenchmarkGLM-4.5-AirGPT-4.5
Cybench—17.5%

Reasoning GLM-4.5-Air leads

GLM-4.5-Air: 24.1 (#166), GPT-4.5: 13.9 (#330)

BenchmarkGLM-4.5-AirGPT-4.5
LMArena Hard Prompts13791403
ForecastBench59.261.7
ARC-AGI-2—0.8%
SimpleBench—34.5%
Kagi LLM Benchmark43%—
ARC-AGI-1—10.3%
EnigmaEval—3.2%
LiveBench Reasoning—71.1%
LiveBench Data Analysis—64.3%
Epoch Capabilities Index—136.74
LiveBench—69%

Math GLM-4.5-Air leads

GLM-4.5-Air: 36.2 (#170), GPT-4.5: 32.6 (#211)

BenchmarkGLM-4.5-AirGPT-4.5
LMArena Math13961412
OTIS Mock AIME 2024-2025—37.8%
Omni-MATH39.1%—
LiveBench Math—69.3%
MATH Level 5—78.6%

Knowledge GLM-4.5-Air leads

GLM-4.5-Air: 35.0 (#191), GPT-4.5: 32.5 (#211)

BenchmarkGLM-4.5-AirGPT-4.5
Humanity's Last Exam8.1%5.4%
LMArena Expert13701394
GPQA Diamond—68.7%
MMLU-Pro76.2%—
Confabulations—13.6%
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multimodal Not comparable

GLM-4.5-Air: —, GPT-4.5: 37.6 (#71)

BenchmarkGLM-4.5-AirGPT-4.5
LMArena Vision—1195
VPCT—45%

Multilingual GPT-4.5 leads

GLM-4.5-Air: 49.1 (#135), GPT-4.5: 52.5 (#83)

BenchmarkGLM-4.5-AirGPT-4.5
LMArena Non-English13661413
LMArena Chinese14261421
LMArena French13991418
LMArena German13771457
LMArena Japanese13481416
LMArena Korean13081392
LMArena Russian13731419
LMArena Spanish1386—

Instruction Following GPT-4.5 leads

GLM-4.5-Air: 69.6 (#171), GPT-4.5: 72.6 (#134)

BenchmarkGLM-4.5-AirGPT-4.5
LMArena Instruction Following13541404
LiveBench Instruction Following—72.3%
IFEval81.2%—

Long Context GLM-4.5-Air leads

GLM-4.5-Air: 41.6 (#135), GPT-4.5: 40.4 (#155)

BenchmarkGLM-4.5-AirGPT-4.5
LMArena Longer Query13661406
Fiction.LiveBench—63.9%

Writing & Preference Too close to call

GLM-4.5-Air: 55.9 (#139), GPT-4.5: 56.9 (#134)

BenchmarkGLM-4.5-AirGPT-4.5
LMArena Text13841417
LMArena Creative Writing13431394
LMArena Multi-Turn13711444
Short-Story Creative Writing—75.6%
EQ-Bench Creative Writing—1258
WildBench78.9%—
LiveBench Language—61.5%

Frequently asked questions

Is GLM-4.5-Air better than GPT-4.5?

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 37.2 on the Noometry Index.

Is GLM-4.5-Air or GPT-4.5 better for coding?

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 33.3 in the Noometry coding category.

How many benchmarks do GLM-4.5-Air and GPT-4.5 share?

18 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and GPT-4.5 has 42.

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