Model comparison

GLM-5.3 vs Granite 4.2 30b

GLM-5.3 is the stronger model overall, scoring 54.8 to 41.8 on the Noometry Index.

Last verified . 11 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Granite 4.2 30b IBM

41.8

Rank #130 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GLM-5.3 scores higher in 7 categories and Granite 4.2 30b in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5.3 leads 75.7 to 53.8.

Side by side

GLM-5.3 and Granite 4.2 30b specifications
GLM-5.3Granite 4.2 30b
ProviderZ.ai (Zhipu)IBM
Noometry Index54.841.8
Released2026-08-14—
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked4211

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.5 (#14), Granite 4.2 30b: 41.0 (#126)

Coding benchmarks
BenchmarkGLM-5.3Granite 4.2 30b
LMArena Coding14961396
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
LMArena WebDev1622—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.4 (#38), Granite 4.2 30b: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Granite 4.2 30b
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning GLM-5.3 leads

GLM-5.3: 46.1 (#46), Granite 4.2 30b: 27.8 (#112)

Reasoning benchmarks
BenchmarkGLM-5.3Granite 4.2 30b
LMArena Hard Prompts14891374
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.61—

Math Not comparable

GLM-5.3: 62.3 (#33), Granite 4.2 30b: —

Math benchmarks
BenchmarkGLM-5.3Granite 4.2 30b
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—
LMArena Math1489—

Knowledge GLM-5.3 leads

GLM-5.3: 58.3 (#37), Granite 4.2 30b: 39.1 (#138)

Knowledge benchmarks
BenchmarkGLM-5.3Granite 4.2 30b
LMArena Expert15161406
GPQA Diamond90.9%—
SimpleQA Verified41%—

Multilingual GLM-5.3 leads

GLM-5.3: 55.7 (#28), Granite 4.2 30b: 47.3 (#151)

Multilingual benchmarks
BenchmarkGLM-5.3Granite 4.2 30b
LMArena Non-English14571340
LMArena Chinese15281414
LMArena Russian14631343
LMArena French1499—
LMArena German1499—
LMArena Japanese1453—
LMArena Korean1472—
LMArena Spanish1460—

Instruction Following GLM-5.3 leads

GLM-5.3: 77.5 (#23), Granite 4.2 30b: 71.2 (#155)

Instruction Following benchmarks
BenchmarkGLM-5.3Granite 4.2 30b
LMArena Instruction Following14771347

Long Context GLM-5.3 leads

GLM-5.3: 45.4 (#41), Granite 4.2 30b: 41.4 (#140)

Long Context benchmarks
BenchmarkGLM-5.3Granite 4.2 30b
LMArena Longer Query14821359

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.7 (#6), Granite 4.2 30b: 53.8 (#156)

Writing & Preference benchmarks
BenchmarkGLM-5.3Granite 4.2 30b
LMArena Text14711361
LMArena Creative Writing14571288
LMArena Multi-Turn14721339
EQ-Bench Creative Writing2075—

Frequently asked questions

Is GLM-5.3 better than Granite 4.2 30b?

GLM-5.3 is the stronger model overall, scoring 54.8 to 41.8 on the Noometry Index.

Is GLM-5.3 or Granite 4.2 30b better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 41.0 in the Noometry coding category.

How many benchmarks do GLM-5.3 and Granite 4.2 30b share?

11 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Granite 4.2 30b has 11.

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