Model comparison

GLM-5.3-Flash vs Grok-2 (Dec 2024)

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 33.7 on the Noometry Index.

Last verified . 20 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Grok-2 (Dec 2024) in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3-Flash leads 53.3 to 20.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 11.5% for Grok-2 (Dec 2024).
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-Flash and Grok-2 (Dec 2024) specifications
GLM-5.3-FlashGrok-2 (Dec 2024)
ProviderZ.ai (Zhipu)xAI
Noometry Index51.833.7
Released2026-08-202024-08-13
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked4034

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Grok-2 (Dec 2024): 33.3 (#258)

Coding benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
LMArena Coding15081287
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
WeirdML—22.2%
LiveBench Coding—46.4%
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Grok-2 (Dec 2024): —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Grok-2 (Dec 2024): 16.9 (#299)

Reasoning benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
LMArena Hard Prompts14911272
Epoch Capabilities Index151.88130.48
ARC-AGI-265.8%—
SimpleBench—22.7%
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
LiveBench Reasoning—54.8%
Mystery Game Puzzles8%—
DTBench—65.2%
LiveBench Data Analysis—54.5%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
LiveBench—54.3%

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Grok-2 (Dec 2024): 20.8 (#284)

Math benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
OTIS Mock AIME 2024-202593.9%11.5%
LMArena Math15001283
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
ProofBench21%—
LiveBench Math—54.9%
MATH Level 5—63.5%
FrontierMath (Feb 2025 set)—0.7%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Grok-2 (Dec 2024): 29.8 (#233)

Knowledge benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
GPQA Diamond90.2%53.8%
LMArena Expert15131254
Confabulations—20.1%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Grok-2 (Dec 2024): —

Multimodal benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Grok-2 (Dec 2024): 43.1 (#188)

Multilingual benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
LMArena Non-English14621282
LMArena Chinese15271289
LMArena French14961318
LMArena German14701287
LMArena Japanese14291244
LMArena Korean14461237
LMArena Russian14691286
LMArena Spanish14711281

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Grok-2 (Dec 2024): 66.9 (#202)

Instruction Following benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
LMArena Instruction Following14781270
LiveBench Instruction Following—69.6%

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Grok-2 (Dec 2024): 38.8 (#190)

Long Context benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
LMArena Longer Query14821276

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Grok-2 (Dec 2024): 48.6 (#198)

Writing & Preference benchmarks
BenchmarkGLM-5.3-FlashGrok-2 (Dec 2024)
LMArena Text14711305
LMArena Creative Writing14421284
LMArena Multi-Turn14671290
Short-Story Creative Writing—63.6%
LiveBench Language—45.6%

Frequently asked questions

Is GLM-5.3-Flash better than Grok-2 (Dec 2024)?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 33.7 on the Noometry Index.

Is GLM-5.3-Flash or Grok-2 (Dec 2024) better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 33.3 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and Grok-2 (Dec 2024) share?

20 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Grok-2 (Dec 2024) has 34.

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