Model comparison

GLM-5.3-Flash vs Grok 4.3

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 43.8 on the Noometry Index.

Last verified . 30 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Grok 4.3 xAI

43.8

Rank #86 Confirmed

Summary

  • They share 30 benchmarks with published results for both. GLM-5.3-Flash scores higher in 10 categories and Grok 4.3 in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 35.9.
  • 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-Flash and Grok 4.3 specifications
GLM-5.3-FlashGrok 4.3
ProviderZ.ai (Zhipu)xAI
Noometry Index51.843.8
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 tracked4040

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Grok 4.3: 41.6 (#121)

Coding benchmarks
BenchmarkGLM-5.3-FlashGrok 4.3
LMArena WebDev16091357
SciCode51.6%47.3%
LMArena Coding15081415
ALE-Bench303.55944.17
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
FrontierSWE18.1%—
WeirdML—49.9%

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.2 (#47), Grok 4.3: 27.7 (#99)

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

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Grok 4.3: 35.9 (#68)

Reasoning benchmarks
BenchmarkGLM-5.3-FlashGrok 4.3
CritPt15.4%8%
Chess Puzzles14%25%
LMArena Hard Prompts14911396
Epoch Capabilities Index151.88149.16
ARC-AGI-265.8%—
NYT Connections (extended)—55.2%
ARC-AGI-191%—
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: 53.3 (#47), Grok 4.3: 46.0 (#74)

Math benchmarks
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 Math15001388

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Grok 4.3: 52.5 (#62)

Knowledge benchmarks
BenchmarkGLM-5.3-FlashGrok 4.3
GPQA Diamond90.2%88.8%
LMArena Expert15131385
SimpleQA Verified—33.2%

Multimodal GLM-5.3-Flash leads

GLM-5.3-Flash: 42.8 (#27), Grok 4.3: 31.6 (#104)

Multimodal benchmarks
BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Vision12961229
Blueprint-Bench 2—0%

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Grok 4.3: 50.5 (#120)

Multilingual benchmarks
BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Non-English14621385
LMArena Chinese15271422
LMArena French14961412
LMArena German14701395
LMArena Japanese14291379
LMArena Korean14461356
LMArena Russian14691399
LMArena Spanish14711398

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Grok 4.3: 72.1 (#140)

Instruction Following benchmarks
BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Instruction Following14781366

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Grok 4.3: 42.5 (#123)

Long Context benchmarks
BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Longer Query14821393

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Grok 4.3: 58.5 (#118)

Writing & Preference benchmarks
BenchmarkGLM-5.3-FlashGrok 4.3
LMArena Text14711397
LMArena Creative Writing14421380
LMArena Multi-Turn14671406
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 51.8 to 43.8 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: 53.1 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-Flash and Grok 4.3 share?

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

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