Model comparison

GLM-5.3-Flash vs Granite 4.2 3b

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 39.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Granite 4.2 3b IBM

39.4

Rank #169 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GLM-5.3-Flash scores higher in 7 categories and Granite 4.2 3b in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 36.3.

Side by side

GLM-5.3-Flash and Granite 4.2 3b specifications
GLM-5.3-FlashGranite 4.2 3b
ProviderZ.ai (Zhipu)IBM
Noometry Index51.839.4
Released2026-08-20—
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked4011

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Granite 4.2 3b: 40.0 (#151)

Coding benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
LMArena Coding15081361
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Granite 4.2 3b: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Granite 4.2 3b: 26.0 (#138)

Reasoning benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
LMArena Hard Prompts14911306
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.88—

Math Not comparable

GLM-5.3-Flash: 53.3 (#47), Granite 4.2 3b: —

Math benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
LMArena Math1500—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Granite 4.2 3b: 36.3 (#171)

Knowledge benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
LMArena Expert15131315
GPQA Diamond90.2%—

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Granite 4.2 3b: —

Multimodal benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Granite 4.2 3b: 42.1 (#198)

Multilingual benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
LMArena Non-English14621268
LMArena Chinese15271269
LMArena Russian14691249
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—
LMArena Spanish1471—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Granite 4.2 3b: 67.1 (#200)

Instruction Following benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
LMArena Instruction Following14781273

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Granite 4.2 3b: 39.2 (#185)

Long Context benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
LMArena Longer Query14821291

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Granite 4.2 3b: 47.2 (#212)

Writing & Preference benchmarks
BenchmarkGLM-5.3-FlashGranite 4.2 3b
LMArena Text14711293
LMArena Creative Writing14421205
LMArena Multi-Turn14671290

Frequently asked questions

Is GLM-5.3-Flash better than Granite 4.2 3b?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 39.4 on the Noometry Index.

Is GLM-5.3-Flash or Granite 4.2 3b better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 40.0 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and Granite 4.2 3b share?

11 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Granite 4.2 3b has 11.

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