Noometry

Model comparison

GLM-5.3-Flash vs GPT-5.4 nano

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 41.9 on the Noometry Index.

Last verified . 29 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

GPT-5.4 nano OpenAI

41.9

Rank #111 Confirmed

Summary

  • They share 29 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and GPT-5.4 nano in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 41.8.
  • The biggest single-benchmark swing is Chess Puzzles: 14% for GLM-5.3-Flash and 30% for GPT-5.4 nano.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.20 / $1.25 for GPT-5.4 nano.
  • 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-5.4 nano
ProviderZ.ai (Zhipu)OpenAI
Noometry Index49.641.9
Released2026-08-202026-03-17
WeightsOpenProprietary
Context window1M400K
Max output131K128K
Input $ / M tokens$0.15$0.20
Output $ / M tokens$0.50$1.25
Results tracked3640

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), GPT-5.4 nano: 43.1 (#82)

BenchmarkGLM-5.3-FlashGPT-5.4 nano
SciCode51.6%46.9%
LMArena Coding15061404
ALE-Bench303.551,005
DeepSWE63.4%—
FrontierCode31.8%—
LMArena WebDev1614—
WeirdML—49.2%

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.3 (#41), GPT-5.4 nano: —

BenchmarkGLM-5.3-FlashGPT-5.4 nano
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 31.7 (#69), GPT-5.4 nano: 23.8 (#159)

BenchmarkGLM-5.3-FlashGPT-5.4 nano
CritPt15.4%9.3%
Chess Puzzles14%30%
LMArena Hard Prompts14901380
Mystery Game Puzzles8%9%
Epoch Capabilities Index151.9145.78
ARC-AGI-2—5.7%
Kagi LLM Benchmark—39.7%
ARC-AGI-1—51.5%
DTBench—80.3%
LMCA—36.9%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
ForecastBench—57.3

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), GPT-5.4 nano: 40.7 (#76)

BenchmarkGLM-5.3-FlashGPT-5.4 nano
FrontierMath (Tiers 1-3)55.8%44.9%
FrontierMath Tier 417.1%12.2%
OTIS Mock AIME 2024-202593.9%87.8%
ProofBench21%5%
LMArena Math14991406
FrontierMath (Feb 2025 set)—25.9%
FrontierMath Tier 4 (v1)—6.3%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), GPT-5.4 nano: 41.8 (#94)

BenchmarkGLM-5.3-FlashGPT-5.4 nano
GPQA Diamond90.2%78.5%
LMArena Expert15121397
SimpleQA Verified—11.7%
Vectara Hallucination Rate—3.1%

Multimodal GLM-5.3-Flash leads

GLM-5.3-Flash: 42.6 (#25), GPT-5.4 nano: 36.0 (#73)

BenchmarkGLM-5.3-FlashGPT-5.4 nano
LMArena Vision13041196

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), GPT-5.4 nano: 48.8 (#136)

BenchmarkGLM-5.3-FlashGPT-5.4 nano
LMArena Non-English14621359
LMArena Chinese15291391
LMArena French14951396
LMArena German14571368
LMArena Japanese14201342
LMArena Korean14431321
LMArena Russian14721363
LMArena Spanish14711368

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), GPT-5.4 nano: 72.1 (#139)

BenchmarkGLM-5.3-FlashGPT-5.4 nano
LMArena Instruction Following14801362

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.3 (#41), GPT-5.4 nano: 41.6 (#131)

BenchmarkGLM-5.3-FlashGPT-5.4 nano
LMArena Longer Query14791365

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), GPT-5.4 nano: 55.9 (#137)

BenchmarkGLM-5.3-FlashGPT-5.4 nano
LMArena Text14711372
LMArena Creative Writing14401313
LMArena Multi-Turn14711382

Frequently asked questions

Is GLM-5.3-Flash better than GPT-5.4 nano?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 41.9 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or GPT-5.4 nano?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; GPT-5.4 nano lists at $0.20 and $1.25.

Is GLM-5.3-Flash or GPT-5.4 nano better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 43.1 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-5.4 nano share?

29 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and GPT-5.4 nano has 40.

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