Model comparison

Gemma 7B vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 30.0 on the Noometry Index.

Last verified . 14 shared benchmarks.

Gemma 7B Google

30.0

Rank #299 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Gemma 7B scores higher in 0 categories and GLM-5.3-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5.3-Flash leads 65.3 to 27.1.

Side by side

Gemma 7B and GLM-5.3-Flash specifications
Gemma 7BGLM-5.3-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index30.051.8
Released2024-02-212026-08-20
WeightsOpenOpen
Context window—1M
Max output—131K
Input $ / M tokens—$0.15
Output $ / M tokens—$0.50
Results tracked2740

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Category by category

Coding GLM-5.3-Flash leads

Gemma 7B: 30.5 (#294), GLM-5.3-Flash: 53.1 (#31)

Coding benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
LMArena Coding10481508
DeepSWE—63.4%
FrontierCode—31.8%
CursorBench—36.8%
LMArena WebDev—1609
FrontierSWE—18.1%
SciCode—51.6%
ALE-Bench—303.55
HumanEval+28.7%—
MBPP+43.4%—

Agentic & Tool Use Not comparable

Gemma 7B: —, GLM-5.3-Flash: 34.2 (#47)

Agentic & Tool Use benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
APEX-Agents—52.8%
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

Gemma 7B: 19.9 (#249), GLM-5.3-Flash: 48.0 (#42)

Reasoning benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
LMArena Hard Prompts10421491
Epoch Capabilities Index111.99151.88
ARC-AGI-2—65.8%
ARC-AGI-1—91%
CritPt—15.4%
Chess Puzzles—14%
Mystery Game Puzzles—8%
Surface Evolver Bench—52.5%
Adversarial NLI48.7%—
Bench to the Future 3—0.15
BIG-Bench Hard55.1%—
HellaSwag82.2%—
PIQA81.2%—
WinoGrande79%—

Math GLM-5.3-Flash leads

Gemma 7B: 31.2 (#228), GLM-5.3-Flash: 53.3 (#47)

Math benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
LMArena Math10661500
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—93.9%
ProofBench—21%
GSM8K46.4%—

Knowledge GLM-5.3-Flash leads

Gemma 7B: 27.3 (#252), GLM-5.3-Flash: 58.4 (#36)

Knowledge benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
LMArena Expert10011513
GPQA Diamond—90.2%
ARC (AI2) Challenge78.3%—
BoolQ83.2%—
MMLU66.1%—
OpenBookQA78.6%—
TriviaQA72.3%—

Multimodal Not comparable

Gemma 7B: —, GLM-5.3-Flash: 42.8 (#27)

Multimodal benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
LMArena Vision—1296

Multilingual GLM-5.3-Flash leads

Gemma 7B: 25.1 (#287), GLM-5.3-Flash: 56.0 (#25)

Multilingual benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
LMArena Non-English9991462
LMArena Chinese10351527
LMArena French10251496
LMArena Russian9931469
LMArena German—1470
LMArena Japanese—1429
LMArena Korean—1446
LMArena Spanish—1471

Instruction Following GLM-5.3-Flash leads

Gemma 7B: 51.5 (#295), GLM-5.3-Flash: 77.5 (#20)

Instruction Following benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
LMArena Instruction Following10171478

Long Context GLM-5.3-Flash leads

Gemma 7B: 31.1 (#282), GLM-5.3-Flash: 45.4 (#39)

Long Context benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
LMArena Longer Query10221482

Writing & Preference GLM-5.3-Flash leads

Gemma 7B: 27.1 (#302), GLM-5.3-Flash: 65.3 (#50)

Writing & Preference benchmarks
BenchmarkGemma 7BGLM-5.3-Flash
LMArena Text10561471
LMArena Creative Writing10241442
LMArena Multi-Turn9631467

Frequently asked questions

Is Gemma 7B better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 30.0 on the Noometry Index.

Is Gemma 7B or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 30.5 in the Noometry coding category.

How many benchmarks do Gemma 7B and GLM-5.3-Flash share?

14 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and GLM-5.3-Flash has 40.

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