Noometry

Model comparison

GLM-5.3-Flash vs Grok 4.3

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 43.6 on the Noometry Index.

Last verified . 30 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Grok 4.3 xAI

43.6

Rank #80 Confirmed

Summary

  • They share 30 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and Grok 4.3 in 1 category; 10 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-5.3-Flash leads 53.7 to 41.3.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 55.8% for GLM-5.3-Flash and 42.8% for Grok 4.3.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashGrok 4.3
ProviderZ.ai (Zhipu)xAI
Noometry Index49.643.6
Released2026-08-202026-04-17
WeightsOpenProprietary
Context window1M1M
Max output131K30K
Input $ / M tokens$0.15$1.25
Output $ / M tokens$0.50$2.50
Results tracked3640

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), Grok 4.3: 41.3 (#117)

BenchmarkGLM-5.3-FlashGrok 4.3
LMArena WebDev16141357
SciCode51.6%47.3%
LMArena Coding15061415
ALE-Bench303.55944.17
DeepSWE63.4%—
FrontierCode31.8%—
WeirdML—49.9%

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.3 (#41), Grok 4.3: 27.6 (#93)

BenchmarkGLM-5.3-FlashGrok 4.3
GDP.pdf14%8%
APEX-Agents52.8%—
LMArena Search—1165
Vending-Bench 2—35.26

Reasoning Grok 4.3 leads

GLM-5.3-Flash: 31.7 (#69), Grok 4.3: 34.9 (#60)

BenchmarkGLM-5.3-FlashGrok 4.3
CritPt15.4%8%
Chess Puzzles14%25%
LMArena Hard Prompts14901397
Epoch Capabilities Index151.9149.13
NYT Connections (extended)—55.2%
Mystery Game Puzzles8%—
DTBench—90.7%
LMCA—38.3%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
ForecastBench—60.3

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), Grok 4.3: 45.8 (#60)

BenchmarkGLM-5.3-FlashGrok 4.3
FrontierMath (Tiers 1-3)55.8%42.8%
FrontierMath Tier 417.1%14.6%
OTIS Mock AIME 2024-202593.9%93.3%
ProofBench21%11%
LMArena Math14991388

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), Grok 4.3: 52.5 (#57)

BenchmarkGLM-5.3-FlashGrok 4.3
GPQA Diamond90.2%88.8%
LMArena Expert15121385
SimpleQA Verified—33.2%

Multimodal GLM-5.3-Flash leads

GLM-5.3-Flash: 42.6 (#25), Grok 4.3: 31.6 (#96)

BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Vision13041231
Blueprint-Bench 2—0%

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), Grok 4.3: 50.7 (#114)

BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Non-English14621385
LMArena Chinese15291423
LMArena French14951412
LMArena German14571395
LMArena Japanese14201379
LMArena Korean14431357
LMArena Russian14721399
LMArena Spanish14711402

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), Grok 4.3: 72.3 (#135)

BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Instruction Following14801366

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.3 (#41), Grok 4.3: 42.5 (#118)

BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Longer Query14791393

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), Grok 4.3: 58.6 (#112)

BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Text14711397
LMArena Creative Writing14401380
LMArena Multi-Turn14711406
EQ-Bench 4—1075

Frequently asked questions

Is GLM-5.3-Flash better than Grok 4.3?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 43.6 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Grok 4.3?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.

Is GLM-5.3-Flash or Grok 4.3 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 41.3 in the Noometry coding category.

Which has the bigger context window?

Both accept 1M tokens.

How many benchmarks do GLM-5.3-Flash and Grok 4.3 share?

30 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Grok 4.3 has 40.

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