Noometry

Model comparison

GLM-4.7 vs GPT-4.5

GLM-4.7 is the stronger model overall, scoring 42.0 to 37.2 on the Noometry Index.

Last verified . 21 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GLM-4.7 scores higher in 8 categories and GPT-4.5 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 32.5.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 83.3% for GLM-4.7 and 37.8% for GPT-4.5.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

GLM-4.7GPT-4.5
ProviderZ.ai (Zhipu)OpenAI
Noometry Index42.037.2
Released2025-12-222025-02-27
WeightsOpenProprietary
Context window205K—
Max output131K—
Input $ / M tokens$0.60—
Output $ / M tokens$2.20—
Results tracked3642

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Category by category

Coding GLM-4.7 leads

GLM-4.7: 44.0 (#79), GPT-4.5: 42.2 (#109)

BenchmarkGLM-4.7GPT-4.5
LMArena Coding14541396
Aider Polyglot—44.9%
LMArena WebDev1435—
SciCode45.1%—
WeirdML—39.4%
LiveBench Coding—75.2%
ALE-Bench399.48—

Agentic & Tool Use GPT-4.5 leads

GLM-4.7: 26.5 (#103), GPT-4.5: 27.9 (#97)

BenchmarkGLM-4.7GPT-4.5
Terminal-Bench33.4%—
Cybench—17.5%
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 24.3 (#164), GPT-4.5: 13.9 (#330)

BenchmarkGLM-4.7GPT-4.5
SimpleBench47.7%34.5%
LMArena Hard Prompts14431403
Epoch Capabilities Index143.51136.74
ARC-AGI-2—0.8%
ARC-AGI-1—10.3%
CritPt1.7%—
Chess Puzzles6%—
EnigmaEval—3.2%
LiveBench Reasoning—71.1%
LiveBench Data Analysis—64.3%
ForecastBench—61.7
LiveBench—69%

Math GLM-4.7 leads

GLM-4.7: 38.6 (#135), GPT-4.5: 32.6 (#211)

BenchmarkGLM-4.7GPT-4.5
OTIS Mock AIME 2024-202583.3%37.8%
LMArena Math14231412
ProofBench6%—
LiveBench Math—69.3%
MATH Level 5—78.6%
FrontierMath (Feb 2025 set)2.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge GLM-4.7 leads

GLM-4.7: 47.0 (#80), GPT-4.5: 32.5 (#211)

BenchmarkGLM-4.7GPT-4.5
GPQA Diamond83.3%68.7%
LMArena Expert14241394
Humanity's Last Exam—5.4%
SimpleQA Verified32.2%—
Confabulations—13.6%
Vectara Hallucination Rate11.7%—

Multimodal Not comparable

GLM-4.7: —, GPT-4.5: 37.6 (#71)

BenchmarkGLM-4.7GPT-4.5
LMArena Vision—1195
VPCT—45%

Multilingual Too close to call

GLM-4.7: 52.8 (#79), GPT-4.5: 52.5 (#83)

BenchmarkGLM-4.7GPT-4.5
LMArena Non-English14171413
LMArena Chinese14951421
LMArena French14321418
LMArena German14241457
LMArena Japanese14391416
LMArena Korean13991392
LMArena Russian14231419
LMArena Spanish1434—

Instruction Following GLM-4.7 leads

GLM-4.7: 74.4 (#95), GPT-4.5: 72.6 (#134)

BenchmarkGLM-4.7GPT-4.5
LMArena Instruction Following14111404
LiveBench Instruction Following—72.3%

Long Context GLM-4.7 leads

GLM-4.7: 42.8 (#116), GPT-4.5: 40.4 (#155)

BenchmarkGLM-4.7GPT-4.5
LMArena Longer Query14321406
Fiction.LiveBench—63.9%
CL-bench15.9%—
CL-bench Life10.9%—

Writing & Preference GLM-4.7 leads

GLM-4.7: 60.9 (#93), GPT-4.5: 56.9 (#134)

BenchmarkGLM-4.7GPT-4.5
LMArena Text14351417
LMArena Creative Writing14011394
EQ-Bench Creative Writing14131258
LMArena Multi-Turn14461444
Short-Story Creative Writing—75.6%
LiveBench Language—61.5%

Frequently asked questions

Is GLM-4.7 better than GPT-4.5?

GLM-4.7 is the stronger model overall, scoring 42.0 to 37.2 on the Noometry Index.

Is GLM-4.7 or GPT-4.5 better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 42.2 in the Noometry coding category.

How many benchmarks do GLM-4.7 and GPT-4.5 share?

21 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and GPT-4.5 has 42.

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