Noometry

Model comparison

Gemma 2B vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.6 on the Noometry Index.

Last verified . 12 shared benchmarks.

Gemma 2B Google

29.6

Rank #307 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Gemma 2B scores higher in 0 categories and GLM-5.3-Flash in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5.3-Flash leads 65.3 to 24.0.

Side by side

Gemma 2BGLM-5.3-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index29.651.8
Released2024-02-212026-08-20
WeightsOpenOpen
Context window—1M
Max output—131K
Input $ / M tokens—$0.15
Output $ / M tokens—$0.50
Results tracked2340

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Category by category

Coding GLM-5.3-Flash leads

Gemma 2B: 29.4 (#305), GLM-5.3-Flash: 53.1 (#31)

BenchmarkGemma 2BGLM-5.3-Flash
LMArena Coding10101508
DeepSWE—63.4%
FrontierCode—31.8%
CursorBench—36.8%
LMArena WebDev—1609
FrontierSWE—18.1%
SciCode—51.6%
ALE-Bench—303.55
HumanEval+20.7%—
MBPP+34.1%—

Agentic & Tool Use Not comparable

Gemma 2B: —, GLM-5.3-Flash: 34.2 (#47)

BenchmarkGemma 2BGLM-5.3-Flash
APEX-Agents—52.8%
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

Gemma 2B: 18.8 (#275), GLM-5.3-Flash: 48.0 (#42)

BenchmarkGemma 2BGLM-5.3-Flash
LMArena Hard Prompts9891491
Epoch Capabilities Index94.2151.88
ARC-AGI-2—65.8%
ARC-AGI-1—91%
CritPt—15.4%
Chess Puzzles—14%
Mystery Game Puzzles—8%
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15
BIG-Bench Hard35.2%—
HellaSwag71.4%—
PIQA77.3%—
WinoGrande65.4%—

Math GLM-5.3-Flash leads

Gemma 2B: 30.0 (#239), GLM-5.3-Flash: 53.3 (#47)

BenchmarkGemma 2BGLM-5.3-Flash
LMArena Math10091500
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—93.9%
ProofBench—21%
GSM8K17.7%—

Knowledge Not comparable

Gemma 2B: —, GLM-5.3-Flash: 58.4 (#36)

BenchmarkGemma 2BGLM-5.3-Flash
GPQA Diamond—90.2%
LMArena Expert—1513
ARC (AI2) Challenge42.1%—
BoolQ69.4%—
MMLU42.3%—
TriviaQA53.2%—

Multimodal Not comparable

Gemma 2B: —, GLM-5.3-Flash: 42.8 (#27)

BenchmarkGemma 2BGLM-5.3-Flash
LMArena Vision—1296

Multilingual GLM-5.3-Flash leads

Gemma 2B: 23.0 (#294), GLM-5.3-Flash: 56.0 (#25)

BenchmarkGemma 2BGLM-5.3-Flash
LMArena Non-English9581462
LMArena Chinese9861527
LMArena Russian9371469
LMArena French—1496
LMArena German—1470
LMArena Japanese—1429
LMArena Korean—1446
LMArena Spanish—1471

Instruction Following GLM-5.3-Flash leads

Gemma 2B: 48.5 (#302), GLM-5.3-Flash: 77.5 (#20)

BenchmarkGemma 2BGLM-5.3-Flash
LMArena Instruction Following9701478

Long Context GLM-5.3-Flash leads

Gemma 2B: 29.9 (#291), GLM-5.3-Flash: 45.4 (#39)

BenchmarkGemma 2BGLM-5.3-Flash
LMArena Longer Query9811482

Writing & Preference GLM-5.3-Flash leads

Gemma 2B: 24.0 (#308), GLM-5.3-Flash: 65.3 (#50)

BenchmarkGemma 2BGLM-5.3-Flash
LMArena Text10021471
LMArena Creative Writing9871442
LMArena Multi-Turn9451467

Frequently asked questions

Is Gemma 2B better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.6 on the Noometry Index.

Is Gemma 2B or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 29.4 in the Noometry coding category.

How many benchmarks do Gemma 2B and GLM-5.3-Flash share?

12 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and GLM-5.3-Flash has 40.

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