Noometry

Model comparison

Gemma 3n E4b IT vs GPT-4.1 nano

Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 27.7 on the Noometry Index.

Last verified . 15 shared benchmarks.

Gemma 3n E4b IT Google

36.7

Rank #203 Confirmed

GPT-4.1 nano OpenAI

27.7

Rank #322 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 7 categories and GPT-4.1 nano in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Gemma 3n E4b IT leads 38.8 to 23.7.
  • Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.10 / $0.40 for GPT-4.1 nano.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 33K.
  • Gemma 3n E4b IT has downloadable open weights; the other is API-only.

Side by side

Gemma 3n E4b ITGPT-4.1 nano
ProviderGoogleOpenAI
Noometry Index36.727.7
Released2025-05-202025-04-14
WeightsOpenProprietary
Context window33K1.05M
Max output33K33K
Input $ / M tokens$0.06$0.10
Output $ / M tokens$0.12$0.40
Results tracked1838

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Category by category

Coding Gemma 3n E4b IT leads

Gemma 3n E4b IT: 36.4 (#193), GPT-4.1 nano: 23.8 (#325)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
LMArena Coding12691306
Aider Polyglot—8.9%
SciCode—25.9%
WeirdML—19%

Agentic & Tool Use Not comparable

Gemma 3n E4b IT: —, GPT-4.1 nano: 26.3 (#98)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
Berkeley Function Calling Leaderboard—33%

Reasoning Gemma 3n E4b IT leads

Gemma 3n E4b IT: 19.2 (#239), GPT-4.1 nano: 8.6 (#344)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
Kagi LLM Benchmark31.5%33.3%
LMArena Hard Prompts12841286
ARC-AGI-2—0%
ARC-AGI-1—0%
CritPt—0%
DTBench—52.5%
LMCA—5.5%
Epoch Capabilities Index—129.62

Math Gemma 3n E4b IT leads

Gemma 3n E4b IT: 32.5 (#186), GPT-4.1 nano: 25.5 (#246)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
LMArena Math12511274
OTIS Mock AIME 2024-2025—28.9%
Omni-MATH—36.7%
MATH Level 5—70%
FrontierMath (Feb 2025 set)—1%

Knowledge Gemma 3n E4b IT leads

Gemma 3n E4b IT: 33.6 (#193), GPT-4.1 nano: 21.8 (#268)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
LMArena Expert12451272
GPQA Diamond—48.9%
SimpleQA Verified—6%
MMLU-Pro—55%
GPQA (HELM)—50.7%

Multimodal Not comparable

Gemma 3n E4b IT: —, GPT-4.1 nano: 28.6 (#108)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
LMArena Vision—1063

Multilingual Gemma 3n E4b IT leads

Gemma 3n E4b IT: 43.5 (#179), GPT-4.1 nano: 41.8 (#200)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
LMArena Non-English12851260
LMArena Chinese13101270
LMArena German13121288
LMArena Japanese12741199
LMArena Russian12881261
LMArena French1330—
LMArena Korean1259—
LMArena Spanish1305—

Instruction Following GPT-4.1 nano leads

Gemma 3n E4b IT: 66.3 (#205), GPT-4.1 nano: 68.0 (#188)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
LMArena Instruction Following12551267
IFEval—84.3%

Long Context Gemma 3n E4b IT leads

Gemma 3n E4b IT: 38.8 (#185), GPT-4.1 nano: 23.7 (#291)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
LMArena Longer Query12771283
Fiction.LiveBench—25%

Writing & Preference Gemma 3n E4b IT leads

Gemma 3n E4b IT: 50.3 (#181), GPT-4.1 nano: 40.7 (#238)

BenchmarkGemma 3n E4b ITGPT-4.1 nano
LMArena Text13061285
LMArena Creative Writing12871260
LMArena Multi-Turn12761277
EQ-Bench Creative Writing—946
WildBench—81.2%

Frequently asked questions

Is Gemma 3n E4b IT better than GPT-4.1 nano?

Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 27.7 on the Noometry Index.

Which is cheaper, Gemma 3n E4b IT or GPT-4.1 nano?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; GPT-4.1 nano lists at $0.10 and $0.40.

Is Gemma 3n E4b IT or GPT-4.1 nano better for coding?

Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 33K.

How many benchmarks do Gemma 3n E4b IT and GPT-4.1 nano share?

15 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-4.1 nano has 38.

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