Noometry

Model comparison

GLM-5.3-Flash vs Granite 4.0 H Small

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 36.5 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Granite 4.0 H Small IBM

36.5

Rank #214 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Granite 4.0 H Small in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 32.0.

Side by side

GLM-5.3-FlashGranite 4.0 H Small
ProviderZ.ai (Zhipu)IBM
Noometry Index51.836.5
Released2026-08-20—
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked4019

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Granite 4.0 H Small: 36.4 (#209)

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
LMArena Coding15081249
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 4.0 H Small: —

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Granite 4.0 H Small: 24.4 (#163)

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
LMArena Hard Prompts14911240
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 GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Granite 4.0 H Small: 31.4 (#223)

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
LMArena Math15001247
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
Omni-MATH—29.6%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Granite 4.0 H Small: 32.0 (#215)

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
LMArena Expert15131251
GPQA Diamond90.2%—
MMLU-Pro—56.9%
Vectara Hallucination Rate—5.2%
GPQA (HELM)—38.3%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Granite 4.0 H Small: —

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Granite 4.0 H Small: 38.6 (#228)

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
LMArena Non-English14621216
LMArena Chinese15271249
LMArena Russian14691201
LMArena Spanish14711258
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Granite 4.0 H Small: 68.7 (#183)

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
LMArena Instruction Following14781222
IFEval—89%

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Granite 4.0 H Small: 37.7 (#213)

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
LMArena Longer Query14821242

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Granite 4.0 H Small: 43.8 (#227)

BenchmarkGLM-5.3-FlashGranite 4.0 H Small
LMArena Text14711241
LMArena Creative Writing14421211
LMArena Multi-Turn14671242
WildBench—73.9%

Frequently asked questions

Is GLM-5.3-Flash better than Granite 4.0 H Small?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 36.5 on the Noometry Index.

Is GLM-5.3-Flash or Granite 4.0 H Small better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 36.4 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and Granite 4.0 H Small share?

13 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Granite 4.0 H Small has 19.

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