Noometry

Model comparison

GLM-4.7-Flash vs GPT-4.5

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 37.2 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.7-Flash scores higher in 4 categories and GPT-4.5 in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 47.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 37.8% for GPT-4.5.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-FlashGPT-4.5
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.837.2
Released2026-01-192025-02-27
WeightsOpenProprietary
Context window200K—
Max output131K—
Input $ / M tokens$0.06—
Output $ / M tokens$0.40—
Results tracked2142

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Category by category

Coding GPT-4.5 leads

GLM-4.7-Flash: 40.6 (#135), GPT-4.5: 42.2 (#109)

BenchmarkGLM-4.7-FlashGPT-4.5
LMArena Coding13831396
Aider Polyglot—44.9%
WeirdML—39.4%
LiveBench Coding—75.2%

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, GPT-4.5: 27.9 (#97)

BenchmarkGLM-4.7-FlashGPT-4.5
Cybench—17.5%

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.9 (#229), GPT-4.5: 13.9 (#330)

BenchmarkGLM-4.7-FlashGPT-4.5
LMArena Hard Prompts13561403
ARC-AGI-2—0.8%
SimpleBench—34.5%
ARC-AGI-1—10.3%
Chess Puzzles0%—
EnigmaEval—3.2%
LiveBench Reasoning—71.1%
LiveBench Data Analysis—64.3%
Epoch Capabilities Index—136.74
ForecastBench—61.7
LiveBench—69%

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 36.1 (#173), GPT-4.5: 32.6 (#211)

BenchmarkGLM-4.7-FlashGPT-4.5
OTIS Mock AIME 2024-202558.3%37.8%
LMArena Math13551412
LiveBench Math—69.3%
MATH Level 5—78.6%

Knowledge GLM-4.7-Flash leads

GLM-4.7-Flash: 35.5 (#184), GPT-4.5: 32.5 (#211)

BenchmarkGLM-4.7-FlashGPT-4.5
GPQA Diamond60.5%68.7%
LMArena Expert13571394
Humanity's Last Exam—5.4%
Confabulations—13.6%
Vectara Hallucination Rate9.3%—

Multimodal Not comparable

GLM-4.7-Flash: —, GPT-4.5: 37.6 (#71)

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

Multilingual GPT-4.5 leads

GLM-4.7-Flash: 46.5 (#158), GPT-4.5: 52.5 (#83)

BenchmarkGLM-4.7-FlashGPT-4.5
LMArena Non-English13301413
LMArena Chinese14031421
LMArena French13321418
LMArena German13371457
LMArena Korean12831392
LMArena Russian13321419
LMArena Japanese—1416
LMArena Spanish1350—

Instruction Following GPT-4.5 leads

GLM-4.7-Flash: 70.1 (#167), GPT-4.5: 72.6 (#134)

BenchmarkGLM-4.7-FlashGPT-4.5
LMArena Instruction Following13271404
LiveBench Instruction Following—72.3%

Long Context Too close to call

GLM-4.7-Flash: 40.9 (#148), GPT-4.5: 40.4 (#155)

BenchmarkGLM-4.7-FlashGPT-4.5
LMArena Longer Query13451406
Fiction.LiveBench—63.9%

Writing & Preference GPT-4.5 leads

GLM-4.7-Flash: 47.4 (#210), GPT-4.5: 56.9 (#134)

BenchmarkGLM-4.7-FlashGPT-4.5
LMArena Text13511417
LMArena Creative Writing12971394
EQ-Bench Creative Writing11251258
LMArena Multi-Turn13421444
Short-Story Creative Writing—75.6%
LiveBench Language—61.5%

Frequently asked questions

Is GLM-4.7-Flash better than GPT-4.5?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 37.2 on the Noometry Index.

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

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 40.6 in the Noometry coding category.

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

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

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