Noometry

Model comparison

GLM-5.3 vs Grok 4.3

GLM-5.3 is the stronger model overall, scoring 54.8 to 43.8 on the Noometry Index.

Last verified . 34 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Grok 4.3 xAI

43.8

Rank #86 Confirmed

Summary

  • They share 34 benchmarks with published results for both. GLM-5.3 scores higher in 9 categories and Grok 4.3 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-5.3 leads 59.5 to 41.6.
  • The biggest single-benchmark swing is ProofBench: 49% for GLM-5.3 and 11% for Grok 4.3.
  • Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3Grok 4.3
ProviderZ.ai (Zhipu)xAI
Noometry Index54.843.8
Released2026-08-142026-04-17
WeightsOpenProprietary
Context window1M1M
Max output131K30K
Input $ / M tokens$1.40$1.25
Output $ / M tokens$4.40$2.50
Results tracked4240

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.5 (#14), Grok 4.3: 41.6 (#121)

BenchmarkGLM-5.3Grok 4.3
LMArena WebDev16221357
SciCode59%47.3%
WeirdML75.4%49.9%
LMArena Coding14961415
ALE-Bench1,317944.17
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
FrontierSWE30.2%—

Agentic & Tool Use GLM-5.3 leads

GLM-5.3: 36.4 (#38), Grok 4.3: 27.7 (#99)

BenchmarkGLM-5.3Grok 4.3
Vending-Bench 28,16435.26
APEX-Agents56.6%—
GDP.pdf—8%
LMArena Search—1165

Reasoning GLM-5.3 leads

GLM-5.3: 46.1 (#46), Grok 4.3: 35.9 (#68)

BenchmarkGLM-5.3Grok 4.3
NYT Connections (extended)74.2%55.2%
CritPt19.1%8%
Chess Puzzles21%25%
LMArena Hard Prompts14891396
DTBench87.7%90.7%
LMCA55.5%38.3%
Epoch Capabilities Index155.61149.16
Mystery Game Puzzles33%—
Bench to the Future 30.15—
ForecastBench—60.3

Math GLM-5.3 leads

GLM-5.3: 62.3 (#33), Grok 4.3: 46.0 (#74)

BenchmarkGLM-5.3Grok 4.3
FrontierMath (Tiers 1-3)68.8%42.8%
FrontierMath Tier 429.3%14.6%
OTIS Mock AIME 2024-202591.1%93.3%
ProofBench49%11%
LMArena Math14891388

Knowledge GLM-5.3 leads

GLM-5.3: 58.3 (#37), Grok 4.3: 52.5 (#62)

BenchmarkGLM-5.3Grok 4.3
GPQA Diamond90.9%88.8%
SimpleQA Verified41%33.2%
LMArena Expert15161385

Multimodal Not comparable

GLM-5.3: —, Grok 4.3: 31.6 (#104)

BenchmarkGLM-5.3Grok 4.3
LMArena Vision—1229
Blueprint-Bench 2—0%

Multilingual GLM-5.3 leads

GLM-5.3: 55.7 (#28), Grok 4.3: 50.5 (#120)

BenchmarkGLM-5.3Grok 4.3
LMArena Non-English14571385
LMArena Chinese15281422
LMArena French14991412
LMArena German14991395
LMArena Japanese14531379
LMArena Korean14721356
LMArena Russian14631399
LMArena Spanish14601398

Instruction Following GLM-5.3 leads

GLM-5.3: 77.5 (#23), Grok 4.3: 72.1 (#140)

BenchmarkGLM-5.3Grok 4.3
LMArena Instruction Following14771366

Long Context GLM-5.3 leads

GLM-5.3: 45.4 (#41), Grok 4.3: 42.5 (#123)

BenchmarkGLM-5.3Grok 4.3
LMArena Longer Query14821393

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.7 (#6), Grok 4.3: 58.5 (#118)

BenchmarkGLM-5.3Grok 4.3
LMArena Text14711397
LMArena Creative Writing14571380
LMArena Multi-Turn14721406
EQ-Bench Creative Writing2075—
EQ-Bench 4—1075

Frequently asked questions

Is GLM-5.3 better than Grok 4.3?

GLM-5.3 is the stronger model overall, scoring 54.8 to 43.8 on the Noometry Index.

Which is cheaper, GLM-5.3 or Grok 4.3?

Grok 4.3 is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

Is GLM-5.3 or Grok 4.3 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 41.6 in the Noometry coding category.

Which has the bigger context window?

Both accept 1M tokens.

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

34 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Grok 4.3 has 40.

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