# Gemma 3n E4b IT vs GPT-4.1 mini

> Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 33.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-gpt-4-1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 5 categories and GPT-4.1 mini in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 3n E4b IT leads 32.5 to 23.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 48.6% for GPT-4.1 mini.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 36.7 | 33.5 |
| Rank | 203 | 232 |
| Context | 33K | 1.05M |
| Input $/M | $0.06 | $0.40 |
| Output $/M | $0.12 | $1.60 |
| Weights | Open | Proprietary |

## Coding

- Gemma 3n E4b IT: 36.4 (#193)
- GPT-4.1 mini: 30.4 (#286)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Coding | 1269 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |

## Agentic & Tool Use

- Gemma 3n E4b IT: —
- GPT-4.1 mini: 33.0 (#52)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |

## Reasoning

- Gemma 3n E4b IT: 19.2 (#239)
- GPT-4.1 mini: 10.9 (#335)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 48.6% |
| LMArena Hard Prompts | 1284 | 1349 |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LMCA | — | 21.1% |
| Epoch Capabilities Index | — | 135.01 |

## Math

- Gemma 3n E4b IT: 32.5 (#186)
- GPT-4.1 mini: 23.1 (#264)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Math | 1251 | 1343 |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| OTIS Mock AIME 2024-2025 | — | 44.7% |
| Omni-MATH | — | 49.1% |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |

## Knowledge

- Gemma 3n E4b IT: 33.6 (#193)
- GPT-4.1 mini: 34.7 (#183)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Expert | 1245 | 1338 |
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| GPQA (HELM) | — | 61.4% |

## Multimodal

- Gemma 3n E4b IT: —
- GPT-4.1 mini: 35.2 (#77)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |

## Multilingual

- Gemma 3n E4b IT: 43.5 (#179)
- GPT-4.1 mini: 45.9 (#161)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1285 | 1318 |
| LMArena Chinese | 1310 | 1329 |
| LMArena French | 1330 | 1357 |
| LMArena German | 1312 | 1349 |
| LMArena Japanese | 1274 | 1291 |
| LMArena Korean | 1259 | 1298 |
| LMArena Russian | 1288 | 1324 |
| LMArena Spanish | 1305 | 1319 |

## Instruction Following

- Gemma 3n E4b IT: 66.3 (#205)
- GPT-4.1 mini: 73.9 (#113)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1255 | 1332 |
| IFEval | — | 90.4% |

## Long Context

- Gemma 3n E4b IT: 38.8 (#185)
- GPT-4.1 mini: 31.8 (#270)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1277 | 1344 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- Gemma 3n E4b IT: 50.3 (#181)
- GPT-4.1 mini: 48.8 (#193)

| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1306 | 1341 |
| LMArena Creative Writing | 1287 | 1300 |
| LMArena Multi-Turn | 1276 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |

## FAQ

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

Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 33.5 on the Noometry Index.

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

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 mini lists at $0.40 and $1.60.

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

Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 30.4 in the Noometry coding category.

### Which has the bigger context window?

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

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

18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-4.1 mini has 47.