Model comparison

GLM-5.3 vs Grok 4 Fast

GLM-5.3 is the stronger model overall, scoring 54.8 to 39.4 on the Noometry Index.

Last verified . 21 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Grok 4 Fast xAI

39.4

Rank #167 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GLM-5.3 scores higher in 8 categories and Grok 4 Fast in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-5.3 leads 59.5 to 32.5.
  • The biggest single-benchmark swing is WeirdML: 75.4% for GLM-5.3 and 42.9% for Grok 4 Fast.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3 and Grok 4 Fast specifications
GLM-5.3Grok 4 Fast
ProviderZ.ai (Zhipu)xAI
Noometry Index54.839.4
Released2026-08-142025-09-19
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked4230

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.5 (#14), Grok 4 Fast: 32.5 (#271)

Coding benchmarks
BenchmarkGLM-5.3Grok 4 Fast
LMArena WebDev16221159
WeirdML75.4%42.9%
LMArena Coding14961429
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
FrontierSWE30.2%—
SciCode59%—
ALE-Bench1,317—

Agentic & Tool Use GLM-5.3 leads

GLM-5.3: 36.4 (#38), Grok 4 Fast: 29.5 (#86)

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Grok 4 Fast
APEX-Agents56.6%—
τ²-bench Banking—15.7%
Cybench—30%
LMArena Search—1171
Vending-Bench 28,164—

Reasoning GLM-5.3 leads

GLM-5.3: 46.1 (#46), Grok 4 Fast: 22.2 (#201)

Reasoning benchmarks
BenchmarkGLM-5.3Grok 4 Fast
LMArena Hard Prompts14891412
DTBench87.7%82.7%
Epoch Capabilities Index155.61144.2
ARC-AGI-2—5.3%
Kagi LLM Benchmark—66.1%
NYT Connections (extended)74.2%—
ARC-AGI-1—48.5%
CritPt19.1%—
Chess Puzzles21%—
Mystery Game Puzzles33%—
LMCA55.5%—
Bench to the Future 30.15—
ForecastBench—60.5

Math GLM-5.3 leads

GLM-5.3: 62.3 (#33), Grok 4 Fast: 38.9 (#123)

Math benchmarks
BenchmarkGLM-5.3Grok 4 Fast
LMArena Math14891419
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—

Knowledge GLM-5.3 leads

GLM-5.3: 58.3 (#37), Grok 4 Fast: 32.0 (#214)

Knowledge benchmarks
BenchmarkGLM-5.3Grok 4 Fast
LMArena Expert15161411
GPQA Diamond90.9%—
SimpleQA Verified41%—
Vectara Hallucination Rate—19.7%

Multilingual GLM-5.3 leads

GLM-5.3: 55.7 (#28), Grok 4 Fast: 51.3 (#111)

Multilingual benchmarks
BenchmarkGLM-5.3Grok 4 Fast
LMArena Non-English14571396
LMArena Chinese15281457
LMArena French14991431
LMArena German14991383
LMArena Japanese14531352
LMArena Korean14721357
LMArena Russian14631389
LMArena Spanish14601415

Instruction Following GLM-5.3 leads

GLM-5.3: 77.5 (#23), Grok 4 Fast: 73.2 (#121)

Instruction Following benchmarks
BenchmarkGLM-5.3Grok 4 Fast
LMArena Instruction Following14771387

Long Context Grok 4 Fast leads

GLM-5.3: 45.4 (#41), Grok 4 Fast: 63.2 (#3)

Long Context benchmarks
BenchmarkGLM-5.3Grok 4 Fast
LMArena Longer Query14821415
Fiction.LiveBench—94.4%

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.7 (#6), Grok 4 Fast: 60.0 (#102)

Writing & Preference benchmarks
BenchmarkGLM-5.3Grok 4 Fast
LMArena Text14711407
LMArena Creative Writing14571387
LMArena Multi-Turn14721414
EQ-Bench Creative Writing2075—

Frequently asked questions

Is GLM-5.3 better than Grok 4 Fast?

GLM-5.3 is the stronger model overall, scoring 54.8 to 39.4 on the Noometry Index.

Is GLM-5.3 or Grok 4 Fast better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 32.5 in the Noometry coding category.

How many benchmarks do GLM-5.3 and Grok 4 Fast share?

21 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Grok 4 Fast has 30.

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