Noometry

Model comparison

GLM-5.3-Flash vs GPT-4 Turbo

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 30.5 on the Noometry Index.

Last verified . 23 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

GPT-4 Turbo OpenAI

30.5

Rank #292 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and GPT-4 Turbo in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3-Flash leads 53.3 to 9.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 6.7% for GPT-4 Turbo.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 128K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashGPT-4 Turbo
ProviderZ.ai (Zhipu)OpenAI
Noometry Index51.830.5
Released2026-08-202023-11-06
WeightsOpenProprietary
Context window1M128K
Max output131K4K
Input $ / M tokens$0.15$10
Output $ / M tokens$0.50$30
Results tracked4036

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), GPT-4 Turbo: 33.8 (#249)

BenchmarkGLM-5.3-FlashGPT-4 Turbo
LMArena Coding15081268
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
WeirdML—18%
BigCodeBench Instruct—48.2%
BigCodeBench Complete—58.2%
ALE-Bench303.55—
HumanEval+—86.6%
MBPP+—73.3%

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), GPT-4 Turbo: —

BenchmarkGLM-5.3-FlashGPT-4 Turbo
APEX-Agents52.8%—
GDP.pdf14%—
METR Time Horizons—36.7%

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), GPT-4 Turbo: 15.3 (#317)

BenchmarkGLM-5.3-FlashGPT-4 Turbo
Chess Puzzles14%6%
LMArena Hard Prompts14911251
Epoch Capabilities Index151.88127.25
ARC-AGI-265.8%—
SimpleBench—25.1%
ARC-AGI-191%—
CritPt15.4%—
Mystery Game Puzzles8%—
DTBench—61.6%
LMCA—9.8%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
ForecastBench—59.4

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), GPT-4 Turbo: 9.0 (#322)

BenchmarkGLM-5.3-FlashGPT-4 Turbo
FrontierMath (Tiers 1-3)55.8%0.7%
OTIS Mock AIME 2024-202593.9%6.7%
LMArena Math15001272
FrontierMath Tier 417.1%—
ProofBench21%—
MATH Level 5—46.7%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), GPT-4 Turbo: 24.3 (#268)

BenchmarkGLM-5.3-FlashGPT-4 Turbo
GPQA Diamond90.2%46.6%
LMArena Expert15131223
Confabulations—28.4%
MMLU—81.3%

Multimodal GLM-5.3-Flash leads

GLM-5.3-Flash: 42.8 (#27), GPT-4 Turbo: 30.6 (#110)

BenchmarkGLM-5.3-FlashGPT-4 Turbo
LMArena Vision12961090

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), GPT-4 Turbo: 40.5 (#216)

BenchmarkGLM-5.3-FlashGPT-4 Turbo
LMArena Non-English14621245
LMArena Chinese15271242
LMArena French14961276
LMArena German14701259
LMArena Japanese14291194
LMArena Korean14461187
LMArena Russian14691259
LMArena Spanish14711260

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), GPT-4 Turbo: 65.8 (#216)

BenchmarkGLM-5.3-FlashGPT-4 Turbo
LMArena Instruction Following14781249

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), GPT-4 Turbo: 38.0 (#206)

BenchmarkGLM-5.3-FlashGPT-4 Turbo
LMArena Longer Query14821254

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), GPT-4 Turbo: 47.7 (#206)

BenchmarkGLM-5.3-FlashGPT-4 Turbo
LMArena Text14711272
LMArena Creative Writing14421269
LMArena Multi-Turn14671267

Frequently asked questions

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

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 30.5 on the Noometry Index.

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

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; GPT-4 Turbo lists at $10 and $30.

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

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 128K.

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

23 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and GPT-4 Turbo has 36.

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