Noometry

Model comparison

GLM-4.5 vs GPT-4

GLM-4.5 is the stronger model overall, scoring 42.0 to 29.1 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

GPT-4 OpenAI

29.1

Rank #316 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-4.5 scores higher in 8 categories and GPT-4 in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5 leads 39.0 to 10.8.
  • The biggest single-benchmark swing is WeirdML: 40.6% for GLM-4.5 and 12.4% for GPT-4.
  • GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $30 / $60 for GPT-4.
  • GLM-4.5 accepts more context: 131K tokens versus 8K.
  • GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

GLM-4.5GPT-4
ProviderZ.ai (Zhipu)OpenAI
Noometry Index42.029.1
Released2025-07-272023-03-14
WeightsOpenProprietary
Context window131K8K
Max output98K8K
Input $ / M tokens$0.60$30
Output $ / M tokens$2.20$60
Results tracked2738

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), GPT-4: 31.6 (#283)

BenchmarkGLM-4.5GPT-4
WeirdML40.6%12.4%
LMArena Coding14341254
SWE-bench Verified (bash only)54.2%—
BigCodeBench Instruct—46%
BigCodeBench Complete—57.2%
ALE-Bench344.82—
AlgoTune1.52—
HumanEval+—79.3%

Agentic & Tool Use Not comparable

GLM-4.5: —, GPT-4: —

BenchmarkGLM-4.5GPT-4
METR Time Horizons—36.1%

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), GPT-4: 17.8 (#289)

BenchmarkGLM-4.5GPT-4
LMArena Hard Prompts14291241
Kagi LLM Benchmark57.9%—
Chess Puzzles—4%
Mystery Game Puzzles—12%
DTBench—62.7%
LMCA—17.1%
BIG-Bench Hard—75.1%
Epoch Capabilities Index—125.89
ForecastBench—57.8
HellaSwag—95.3%
WinoGrande—87.5%

Math GLM-4.5 leads

GLM-4.5: 39.0 (#116), GPT-4: 10.8 (#309)

BenchmarkGLM-4.5GPT-4
LMArena Math14271269
OTIS Mock AIME 2024-2025—1.1%
MATH Level 5—23%
GSM8K—92%

Knowledge GLM-4.5 leads

GLM-4.5: 35.9 (#179), GPT-4: 18.4 (#282)

BenchmarkGLM-4.5GPT-4
LMArena Expert14331211
GPQA Diamond—35.7%
Humanity's Last Exam8.3%—
Confabulations11.3%—
MMLU—86.4%
TriviaQA—84.8%

Multilingual GLM-4.5 leads

GLM-4.5: 52.8 (#77), GPT-4: 40.6 (#215)

BenchmarkGLM-4.5GPT-4
LMArena Non-English14171246
LMArena Chinese14651242
LMArena French14181283
LMArena German14071251
LMArena Japanese14151209
LMArena Korean13801184
LMArena Russian14141251
LMArena Spanish14541261

Instruction Following GLM-4.5 leads

GLM-4.5: 74.1 (#104), GPT-4: 65.3 (#222)

BenchmarkGLM-4.5GPT-4
LMArena Instruction Following14041241

Long Context Too close to call

GLM-4.5: 38.2 (#201), GPT-4: 37.7 (#212)

BenchmarkGLM-4.5GPT-4
LMArena Longer Query14121244
Fiction.LiveBench58.3%—

Writing & Preference GLM-4.5 leads

GLM-4.5: 57.5 (#127), GPT-4: 34.9 (#268)

BenchmarkGLM-4.5GPT-4
LMArena Text14301263
LMArena Creative Writing13951244
EQ-Bench Creative Writing1343752
LMArena Multi-Turn14151257
Short-Story Creative Writing73.4%—

Frequently asked questions

Is GLM-4.5 better than GPT-4?

GLM-4.5 is the stronger model overall, scoring 42.0 to 29.1 on the Noometry Index.

Which is cheaper, GLM-4.5 or GPT-4?

GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GPT-4 lists at $30 and $60.

Is GLM-4.5 or GPT-4 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

GLM-4.5 does, with 131K tokens against 8K.

How many benchmarks do GLM-4.5 and GPT-4 share?

19 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GPT-4 has 38.

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