Noometry

Model comparison

GLM-5.3-Flash vs GPT-5 Pro

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 46.2 on the Noometry Index.

Last verified . 3 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

GPT-5 Pro OpenAI

46.2

Rank #58 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GLM-5.3-Flash scores higher in 3 categories and GPT-5 Pro in 1 category; 4 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-5.3-Flash leads 53.7 to 43.4.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 400K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashGPT-5 Pro
ProviderZ.ai (Zhipu)OpenAI
Noometry Index49.646.2
Released2026-08-202025-10-06
WeightsOpenProprietary
Context window1M400K
Max output131K272K
Input $ / M tokens$0.15$15
Output $ / M tokens$0.50$120
Results tracked3612

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), GPT-5 Pro: 43.4 (#77)

BenchmarkGLM-5.3-FlashGPT-5 Pro
DeepSWE63.4%—
FrontierCode31.8%—
LMArena WebDev1614—
SciCode51.6%—
WeirdML—60.4%
LMArena Coding1506—
ALE-Bench303.55—
AlgoTune—1.31

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.3 (#41), GPT-5 Pro: —

BenchmarkGLM-5.3-FlashGPT-5 Pro
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GPT-5 Pro leads

GLM-5.3-Flash: 31.7 (#69), GPT-5 Pro: 39.2 (#52)

BenchmarkGLM-5.3-FlashGPT-5 Pro
Epoch Capabilities Index151.9150.26
ARC-AGI-2—18.3%
SimpleBench—61.6%
Kagi LLM Benchmark—76.8%
ARC-AGI-1—70.2%
CritPt15.4%—
Chess Puzzles14%—
EnigmaEval—18.8%
LMArena Hard Prompts1490—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), GPT-5 Pro: 48.0 (#53)

BenchmarkGLM-5.3-FlashGPT-5 Pro
FrontierMath (Tiers 1-3)55.8%55.8%
FrontierMath Tier 417.1%19.5%
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
LMArena Math1499—
FrontierMath Tier 4 (v1)—14.6%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), GPT-5 Pro: 56.2 (#39)

BenchmarkGLM-5.3-FlashGPT-5 Pro
GPQA Diamond90.2%—
Humanity's Last Exam—31.6%
LMArena Expert1512—

Multimodal Not comparable

GLM-5.3-Flash: 42.6 (#25), GPT-5 Pro: —

BenchmarkGLM-5.3-FlashGPT-5 Pro
LMArena Vision1304—

Multilingual Not comparable

GLM-5.3-Flash: 56.2 (#24), GPT-5 Pro: —

BenchmarkGLM-5.3-FlashGPT-5 Pro
LMArena Non-English1462—
LMArena Chinese1529—
LMArena French1495—
LMArena German1457—
LMArena Japanese1420—
LMArena Korean1443—
LMArena Russian1472—
LMArena Spanish1471—

Instruction Following Not comparable

GLM-5.3-Flash: 77.8 (#17), GPT-5 Pro: —

BenchmarkGLM-5.3-FlashGPT-5 Pro
LMArena Instruction Following1480—

Long Context Not comparable

GLM-5.3-Flash: 45.3 (#41), GPT-5 Pro: —

BenchmarkGLM-5.3-FlashGPT-5 Pro
LMArena Longer Query1479—

Writing & Preference Not comparable

GLM-5.3-Flash: 65.4 (#49), GPT-5 Pro: —

BenchmarkGLM-5.3-FlashGPT-5 Pro
LMArena Text1471—
LMArena Creative Writing1440—
LMArena Multi-Turn1471—

Frequently asked questions

Is GLM-5.3-Flash better than GPT-5 Pro?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 46.2 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or GPT-5 Pro?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; GPT-5 Pro lists at $15 and $120.

Is GLM-5.3-Flash or GPT-5 Pro better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 43.4 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 400K.

How many benchmarks do GLM-5.3-Flash and GPT-5 Pro share?

3 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and GPT-5 Pro has 12.

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