Noometry

Model comparison

GLM-5.3-Flash vs o1

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 40.6 on the Noometry Index.

Last verified . 23 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

o1 OpenAI

40.6

Rank #140 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and o1 in 1 category; 10 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3-Flash leads 53.1 to 34.9.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 55.8% for GLM-5.3-Flash and 14.7% for o1.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $15 / $60 for o1.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 200K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-Flasho1
ProviderZ.ai (Zhipu)OpenAI
Noometry Index49.640.6
Released2026-08-202024-09-12
WeightsOpenProprietary
Context window1M200K
Max output131K100K
Input $ / M tokens$0.15$15
Output $ / M tokens$0.50$60
Results tracked3652

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), o1: 45.7 (#64)

BenchmarkGLM-5.3-Flasho1
LMArena Coding15061367
DeepSWE63.4%—
FrontierCode31.8%—
Aider Polyglot—61.7%
LMArena WebDev1614—
SciCode51.6%—
WeirdML—47.6%
LiveBench Coding—69.7%
CadEval—56%
ALE-Bench303.55—
HumanEval+—89%
MBPP+—80.2%

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.3 (#41), o1: 24.3 (#111)

BenchmarkGLM-5.3-Flasho1
APEX-Agents52.8%—
Cybench—10%
GDP.pdf14%—
METR Time Horizons—51.1%

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 31.7 (#69), o1: 27.5 (#103)

BenchmarkGLM-5.3-Flasho1
Chess Puzzles14%15%
LMArena Hard Prompts14901372
Epoch Capabilities Index151.9141.92
SimpleBench—41.7%
ARC-AGI-1—30.7%
CritPt15.4%—
EnigmaEval—5.7%
LiveBench Reasoning—91.6%
Mystery Game Puzzles8%—
DTBench—74.7%
LiveBench Data Analysis—65.5%
LMCA—22.3%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
LiveBench—75.7%

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), o1: 34.9 (#150)

BenchmarkGLM-5.3-Flasho1
FrontierMath (Tiers 1-3)55.8%14.7%
OTIS Mock AIME 2024-202593.9%73.3%
LMArena Math14991388
FrontierMath Tier 417.1%—
ProofBench21%—
LiveBench Math—80.3%
MATH Level 5—94.7%
FrontierMath (Feb 2025 set)—9.3%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), o1: 41.5 (#101)

BenchmarkGLM-5.3-Flasho1
GPQA Diamond90.2%76.8%
LMArena Expert15121362
Humanity's Last Exam—8%
SimpleQA Verified—41.1%
Confabulations—11.7%

Multimodal GLM-5.3-Flash leads

GLM-5.3-Flash: 42.6 (#25), o1: 33.6 (#87)

BenchmarkGLM-5.3-Flasho1
LMArena Vision13041168
GeoBench—80%
VPCT—37%
SpatialViz-Bench—41.4%

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), o1: 48.8 (#137)

BenchmarkGLM-5.3-Flasho1
LMArena Non-English14621359
LMArena Chinese15291394
LMArena French14951343
LMArena German14571337
LMArena Japanese14201346
LMArena Korean14431396
LMArena Russian14721356
LMArena Spanish14711345

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), o1: 75.0 (#82)

BenchmarkGLM-5.3-Flasho1
LMArena Instruction Following14801368
LiveBench Instruction Following—81.5%

Long Context o1 leads

GLM-5.3-Flash: 45.3 (#41), o1: 50.3 (#9)

BenchmarkGLM-5.3-Flasho1
LMArena Longer Query14791378
Fiction.LiveBench—83.3%

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), o1: 55.8 (#139)

BenchmarkGLM-5.3-Flasho1
LMArena Text14711366
LMArena Creative Writing14401347
LMArena Multi-Turn14711368
Short-Story Creative Writing—70.2%
LiveBench Language—65.4%

Frequently asked questions

Is GLM-5.3-Flash better than o1?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 40.6 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or o1?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; o1 lists at $15 and $60.

Is GLM-5.3-Flash or o1 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 45.7 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 200K.

How many benchmarks do GLM-5.3-Flash and o1 share?

23 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and o1 has 52.

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