Noometry

Model comparison

GLM-4.6 vs GPT-4.5

GLM-4.6 is the stronger model overall, scoring 40.9 to 36.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

40.9

Rank #132 Confirmed

GPT-4.5 OpenAI

36.9

Rank #200 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and GPT-4.5 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.6 leads 23.1 to 14.1.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6GPT-4.5
ProviderZ.ai (Zhipu)OpenAI
Noometry Index40.936.9
Released2025-09-302025-02-27
WeightsOpenProprietary
Context window205K—
Max output131K—
Input $ / M tokens$0.60—
Output $ / M tokens$2.20—
Results tracked2942

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Category by category

Coding GPT-4.5 leads

GLM-4.6: 39.9 (#137), GPT-4.5: 41.8 (#102)

BenchmarkGLM-4.6GPT-4.5
LMArena Coding14491397
SWE-bench Verified (bash only)55.4%—
Aider Polyglot—44.9%
LMArena WebDev1339—
SciCode38.4%—
WeirdML—39.4%
LiveBench Coding—75.2%
ALE-Bench340.82—

Agentic & Tool Use GLM-4.6 leads

GLM-4.6: 32.1 (#60), GPT-4.5: 27.6 (#92)

BenchmarkGLM-4.6GPT-4.5
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—
Cybench—17.5%

Reasoning GLM-4.6 leads

GLM-4.6: 23.1 (#168), GPT-4.5: 14.1 (#320)

BenchmarkGLM-4.6GPT-4.5
LMArena Hard Prompts14401404
ARC-AGI-2—0.8%
SimpleBench—34.5%
Kagi LLM Benchmark47.4%—
ARC-AGI-1—10.3%
CritPt1.1%—
EnigmaEval—3.2%
LiveBench Reasoning—71.1%
LiveBench Data Analysis—64.3%
Epoch Capabilities Index—136.74
ForecastBench—61.7
LiveBench—69%

Math GLM-4.6 leads

GLM-4.6: 36.4 (#115), GPT-4.5: 31.0 (#200)

BenchmarkGLM-4.6GPT-4.5
LMArena Math14311412
OTIS Mock AIME 2024-2025—37.8%
LiveBench Math—69.3%
MATH Level 5—78.6%
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 39.6 (#118), GPT-4.5: 32.4 (#205)

BenchmarkGLM-4.6GPT-4.5
LMArena Expert14321394
GPQA Diamond—68.7%
Humanity's Last Exam—5.4%
Confabulations—13.6%
Vectara Hallucination Rate9.5%—

Multimodal Not comparable

GLM-4.6: —, GPT-4.5: 37.0 (#68)

BenchmarkGLM-4.6GPT-4.5
LMArena Vision—1195
VPCT—45%

Multilingual Too close to call

GLM-4.6: 53.6 (#62), GPT-4.5: 52.7 (#78)

BenchmarkGLM-4.6GPT-4.5
LMArena Non-English14261413
LMArena Chinese15001421
LMArena French14591417
LMArena German14471457
LMArena Japanese13941416
LMArena Korean14011392
LMArena Russian14181419
LMArena Spanish1436—

Instruction Following GLM-4.6 leads

GLM-4.6: 74.5 (#93), GPT-4.5: 72.8 (#129)

BenchmarkGLM-4.6GPT-4.5
LMArena Instruction Following14101404
LiveBench Instruction Following—72.3%

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#91), GPT-4.5: 40.4 (#150)

BenchmarkGLM-4.6GPT-4.5
LMArena Longer Query14231406
Fiction.LiveBench—63.9%

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.3 (#86), GPT-4.5: 57.1 (#129)

BenchmarkGLM-4.6GPT-4.5
LMArena Text14401417
LMArena Creative Writing14111394
EQ-Bench Creative Writing14111258
LMArena Multi-Turn14271444
Short-Story Creative Writing—75.6%
LiveBench Language—61.5%

Frequently asked questions

Is GLM-4.6 better than GPT-4.5?

GLM-4.6 is the stronger model overall, scoring 40.9 to 36.9 on the Noometry Index.

Is GLM-4.6 or GPT-4.5 better for coding?

GPT-4.5 scores higher on coding benchmarks: 41.8 versus 39.9 in the Noometry coding category.

How many benchmarks do GLM-4.6 and GPT-4.5 share?

17 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GPT-4.5 has 42.

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