Noometry

Model comparison

GLM-5.3-Flash vs Granite 4.1 8b

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 37.4 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Granite 4.1 8b IBM

37.4

Rank #205 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Granite 4.1 8b in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-5.3-Flash leads 53.1 to 30.1.

Side by side

GLM-5.3-FlashGranite 4.1 8b
ProviderZ.ai (Zhipu)IBM
Noometry Index51.837.4
Released2026-08-20—
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked4013

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Granite 4.1 8b: 30.1 (#297)

BenchmarkGLM-5.3-FlashGranite 4.1 8b
LMArena WebDev16091192
LMArena Coding15081312
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
FrontierSWE18.1%—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Granite 4.1 8b: —

BenchmarkGLM-5.3-FlashGranite 4.1 8b
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Granite 4.1 8b: 25.7 (#143)

BenchmarkGLM-5.3-FlashGranite 4.1 8b
LMArena Hard Prompts14911293
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 4.1 8b: 36.4 (#166)

BenchmarkGLM-5.3-FlashGranite 4.1 8b
LMArena Math15001312
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Granite 4.1 8b: 36.1 (#174)

BenchmarkGLM-5.3-FlashGranite 4.1 8b
LMArena Expert15131309
GPQA Diamond90.2%—

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Granite 4.1 8b: —

BenchmarkGLM-5.3-FlashGranite 4.1 8b
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Granite 4.1 8b: 41.7 (#204)

BenchmarkGLM-5.3-FlashGranite 4.1 8b
LMArena Non-English14621261
LMArena Chinese15271337
LMArena Russian14691240
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 4.1 8b: 66.9 (#203)

BenchmarkGLM-5.3-FlashGranite 4.1 8b
LMArena Instruction Following14781269

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Granite 4.1 8b: 38.7 (#193)

BenchmarkGLM-5.3-FlashGranite 4.1 8b
LMArena Longer Query14821275

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Granite 4.1 8b: 48.1 (#204)

BenchmarkGLM-5.3-FlashGranite 4.1 8b
LMArena Text14711290
LMArena Creative Writing14421251
LMArena Multi-Turn14671268

Frequently asked questions

Is GLM-5.3-Flash better than Granite 4.1 8b?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 37.4 on the Noometry Index.

Is GLM-5.3-Flash or Granite 4.1 8b better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 30.1 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and Granite 4.1 8b share?

13 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Granite 4.1 8b has 13.

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