Noometry

Model comparison

GLM-4.5 vs GPT-4.5

GLM-4.5 is the stronger model overall, scoring 42.0 to 37.2 on the Noometry Index.

Last verified . 22 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GLM-4.5 scores higher in 6 categories and GPT-4.5 in 2 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 13.9.
  • The biggest single-benchmark swing is Fiction.LiveBench: 58.3% for GLM-4.5 and 63.9% for GPT-4.5.
  • GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

GLM-4.5GPT-4.5
ProviderZ.ai (Zhipu)OpenAI
Noometry Index42.037.2
Released2025-07-272025-02-27
WeightsOpenProprietary
Context window131K—
Max output98K—
Input $ / M tokens$0.60—
Output $ / M tokens$2.20—
Results tracked2742

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Category by category

Coding Too close to call

GLM-4.5: 41.4 (#125), GPT-4.5: 42.2 (#109)

BenchmarkGLM-4.5GPT-4.5
WeirdML40.6%39.4%
LMArena Coding14341396
SWE-bench Verified (bash only)54.2%—
Aider Polyglot—44.9%
LiveBench Coding—75.2%
ALE-Bench344.82—
AlgoTune1.52—

Agentic & Tool Use Not comparable

GLM-4.5: —, GPT-4.5: 27.9 (#97)

BenchmarkGLM-4.5GPT-4.5
Cybench—17.5%

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), GPT-4.5: 13.9 (#330)

BenchmarkGLM-4.5GPT-4.5
LMArena Hard Prompts14291403
ARC-AGI-2—0.8%
SimpleBench—34.5%
Kagi LLM Benchmark57.9%—
ARC-AGI-1—10.3%
EnigmaEval—3.2%
LiveBench Reasoning—71.1%
LiveBench Data Analysis—64.3%
Epoch Capabilities Index—136.74
ForecastBench—61.7
LiveBench—69%

Math GLM-4.5 leads

GLM-4.5: 39.0 (#116), GPT-4.5: 32.6 (#211)

BenchmarkGLM-4.5GPT-4.5
LMArena Math14271412
OTIS Mock AIME 2024-2025—37.8%
LiveBench Math—69.3%
MATH Level 5—78.6%

Knowledge GLM-4.5 leads

GLM-4.5: 35.9 (#179), GPT-4.5: 32.5 (#211)

BenchmarkGLM-4.5GPT-4.5
Humanity's Last Exam8.3%5.4%
Confabulations11.3%13.6%
LMArena Expert14331394
GPQA Diamond—68.7%

Multimodal Not comparable

GLM-4.5: —, GPT-4.5: 37.6 (#71)

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

Multilingual Too close to call

GLM-4.5: 52.8 (#77), GPT-4.5: 52.5 (#83)

BenchmarkGLM-4.5GPT-4.5
LMArena Non-English14171413
LMArena Chinese14651421
LMArena French14181418
LMArena German14071457
LMArena Japanese14151416
LMArena Korean13801392
LMArena Russian14141419
LMArena Spanish1454—

Instruction Following GLM-4.5 leads

GLM-4.5: 74.1 (#104), GPT-4.5: 72.6 (#134)

BenchmarkGLM-4.5GPT-4.5
LMArena Instruction Following14041404
LiveBench Instruction Following—72.3%

Long Context GPT-4.5 leads

GLM-4.5: 38.2 (#201), GPT-4.5: 40.4 (#155)

BenchmarkGLM-4.5GPT-4.5
Fiction.LiveBench58.3%63.9%
LMArena Longer Query14121406

Writing & Preference Too close to call

GLM-4.5: 57.5 (#127), GPT-4.5: 56.9 (#134)

BenchmarkGLM-4.5GPT-4.5
LMArena Text14301417
LMArena Creative Writing13951394
Short-Story Creative Writing73.4%75.6%
EQ-Bench Creative Writing13431258
LMArena Multi-Turn14151444
LiveBench Language—61.5%

Frequently asked questions

Is GLM-4.5 better than GPT-4.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 37.2 on the Noometry Index.

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

They score almost the same on coding (41.4 vs 42.2); test both on your own repository before choosing.

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

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

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