Noometry

Model comparison

Gemma 7B vs GPT-4.1 nano

Gemma 7B is the stronger model overall, scoring 29.5 to 27.7 on the Noometry Index.

Last verified . 13 shared benchmarks.

Gemma 7B Google

29.5

Rank #295 Confirmed

GPT-4.1 nano OpenAI

27.7

Rank #322 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Gemma 7B scores higher in 5 categories and GPT-4.1 nano in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where GPT-4.1 nano leads 41.8 to 25.3.
  • Gemma 7B has downloadable open weights; the other is API-only.

Side by side

Gemma 7BGPT-4.1 nano
ProviderGoogleOpenAI
Noometry Index29.527.7
Released2024-02-212025-04-14
WeightsOpenProprietary
Context window—1.05M
Max output—33K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked2738

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Category by category

Coding Gemma 7B leads

Gemma 7B: 29.9 (#290), GPT-4.1 nano: 23.8 (#325)

BenchmarkGemma 7BGPT-4.1 nano
LMArena Coding10481306
Aider Polyglot—8.9%
SciCode—25.9%
WeirdML—19%
HumanEval+28.7%—
MBPP+43.4%—

Agentic & Tool Use Not comparable

Gemma 7B: —, GPT-4.1 nano: 26.3 (#98)

BenchmarkGemma 7BGPT-4.1 nano
Berkeley Function Calling Leaderboard—33%

Reasoning Gemma 7B leads

Gemma 7B: 19.0 (#247), GPT-4.1 nano: 8.6 (#344)

BenchmarkGemma 7BGPT-4.1 nano
LMArena Hard Prompts10421286
Epoch Capabilities Index111.74129.62
ARC-AGI-2—0%
Kagi LLM Benchmark—33.3%
ARC-AGI-1—0%
CritPt—0%
DTBench—52.5%
LMCA—5.5%
Adversarial NLI48.7%—
BIG-Bench Hard55.1%—
HellaSwag82.2%—
PIQA81.2%—
WinoGrande79%—

Math Gemma 7B leads

Gemma 7B: 28.7 (#225), GPT-4.1 nano: 25.5 (#246)

BenchmarkGemma 7BGPT-4.1 nano
LMArena Math10661274
OTIS Mock AIME 2024-2025—28.9%
Omni-MATH—36.7%
MATH Level 5—70%
FrontierMath (Feb 2025 set)—1%
GSM8K46.4%—

Knowledge Gemma 7B leads

Gemma 7B: 26.8 (#248), GPT-4.1 nano: 21.8 (#268)

BenchmarkGemma 7BGPT-4.1 nano
LMArena Expert10021272
GPQA Diamond—48.9%
SimpleQA Verified—6%
MMLU-Pro—55%
GPQA (HELM)—50.7%
ARC (AI2) Challenge78.3%—
BoolQ83.2%—
MMLU66.1%—
OpenBookQA78.6%—
TriviaQA72.3%—

Multimodal Not comparable

Gemma 7B: —, GPT-4.1 nano: 28.6 (#108)

BenchmarkGemma 7BGPT-4.1 nano
LMArena Vision—1063

Multilingual GPT-4.1 nano leads

Gemma 7B: 25.3 (#282), GPT-4.1 nano: 41.8 (#200)

BenchmarkGemma 7BGPT-4.1 nano
LMArena Non-English9991260
LMArena Chinese10351270
LMArena Russian9931261
LMArena French1024—
LMArena German—1288
LMArena Japanese—1199

Instruction Following GPT-4.1 nano leads

Gemma 7B: 51.7 (#290), GPT-4.1 nano: 68.0 (#188)

BenchmarkGemma 7BGPT-4.1 nano
LMArena Instruction Following10171267
IFEval—84.3%

Long Context Gemma 7B leads

Gemma 7B: 31.1 (#277), GPT-4.1 nano: 23.7 (#291)

BenchmarkGemma 7BGPT-4.1 nano
LMArena Longer Query10221283
Fiction.LiveBench—25%

Writing & Preference GPT-4.1 nano leads

Gemma 7B: 27.2 (#297), GPT-4.1 nano: 40.7 (#238)

BenchmarkGemma 7BGPT-4.1 nano
LMArena Text10561285
LMArena Creative Writing10241260
LMArena Multi-Turn9631277
EQ-Bench Creative Writing—946
WildBench—81.2%

Frequently asked questions

Is Gemma 7B better than GPT-4.1 nano?

Gemma 7B is the stronger model overall, scoring 29.5 to 27.7 on the Noometry Index.

Is Gemma 7B or GPT-4.1 nano better for coding?

Gemma 7B scores higher on coding benchmarks: 29.9 versus 23.8 in the Noometry coding category.

How many benchmarks do Gemma 7B and GPT-4.1 nano share?

13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and GPT-4.1 nano has 38.

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