Noometry

Model comparison

GLM-5.3-Flash vs GPT-4

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.1 on the Noometry Index.

Last verified . 22 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

GPT-4 OpenAI

29.1

Rank #316 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and GPT-4 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3-Flash leads 53.3 to 10.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 1.1% for GPT-4.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $30 / $60 for GPT-4.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 8K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashGPT-4
ProviderZ.ai (Zhipu)OpenAI
Noometry Index51.829.1
Released2026-08-202023-03-14
WeightsOpenProprietary
Context window1M8K
Max output131K8K
Input $ / M tokens$0.15$30
Output $ / M tokens$0.50$60
Results tracked4038

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), GPT-4: 31.6 (#283)

BenchmarkGLM-5.3-FlashGPT-4
LMArena Coding15081254
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
WeirdML—12.4%
BigCodeBench Instruct—46%
BigCodeBench Complete—57.2%
ALE-Bench303.55—
HumanEval+—79.3%

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), GPT-4: —

BenchmarkGLM-5.3-FlashGPT-4
APEX-Agents52.8%—
GDP.pdf14%—
METR Time Horizons—36.1%

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), GPT-4: 17.8 (#289)

BenchmarkGLM-5.3-FlashGPT-4
Chess Puzzles14%4%
LMArena Hard Prompts14911241
Mystery Game Puzzles8%12%
Epoch Capabilities Index151.88125.89
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
DTBench—62.7%
LMCA—17.1%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
BIG-Bench Hard—75.1%
ForecastBench—57.8
HellaSwag—95.3%
WinoGrande—87.5%

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), GPT-4: 10.8 (#309)

BenchmarkGLM-5.3-FlashGPT-4
OTIS Mock AIME 2024-202593.9%1.1%
LMArena Math15001269
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
ProofBench21%—
MATH Level 5—23%
GSM8K—92%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), GPT-4: 18.4 (#282)

BenchmarkGLM-5.3-FlashGPT-4
GPQA Diamond90.2%35.7%
LMArena Expert15131211
MMLU—86.4%
TriviaQA—84.8%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), GPT-4: —

BenchmarkGLM-5.3-FlashGPT-4
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), GPT-4: 40.6 (#215)

BenchmarkGLM-5.3-FlashGPT-4
LMArena Non-English14621246
LMArena Chinese15271242
LMArena French14961283
LMArena German14701251
LMArena Japanese14291209
LMArena Korean14461184
LMArena Russian14691251
LMArena Spanish14711261

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), GPT-4: 65.3 (#222)

BenchmarkGLM-5.3-FlashGPT-4
LMArena Instruction Following14781241

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), GPT-4: 37.7 (#212)

BenchmarkGLM-5.3-FlashGPT-4
LMArena Longer Query14821244

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), GPT-4: 34.9 (#268)

BenchmarkGLM-5.3-FlashGPT-4
LMArena Text14711263
LMArena Creative Writing14421244
LMArena Multi-Turn14671257
EQ-Bench Creative Writing—752

Frequently asked questions

Is GLM-5.3-Flash better than GPT-4?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.1 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or GPT-4?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; GPT-4 lists at $30 and $60.

Is GLM-5.3-Flash or GPT-4 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 8K.

How many benchmarks do GLM-5.3-Flash and GPT-4 share?

22 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and GPT-4 has 38.

Related comparisons

Go deeper