Model comparison
Gemma 3n E4b IT vs GPT-4.1 mini
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.6 on the Noometry Index.
Last verified . 18 shared benchmarks.
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; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 3n E4b IT leads 35.1 to 24.1.
- 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 has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | GPT-4.1 mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.3 | 33.6 |
| Released | — | 2025-04-14 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $1.60 |
| Results tracked | 18 | 47 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), GPT-4.1 mini: 30.6 (#293)
| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Coding | 1268 | 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 Not comparable
Gemma 3n E4b IT: —, GPT-4.1 mini: 33.3 (#55)
| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |
Reasoning Gemma 3n E4b IT leads
Gemma 3n E4b IT: 19.9 (#247), GPT-4.1 mini: 10.8 (#340)
| 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 leads
Gemma 3n E4b IT: 35.1 (#188), GPT-4.1 mini: 24.1 (#270)
| 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 Too close to call
Gemma 3n E4b IT: 34.2 (#198), GPT-4.1 mini: 34.7 (#194)
| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Expert | 1246 | 1338 |
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| GPQA (HELM) | — | 61.4% |
Multimodal Not comparable
Gemma 3n E4b IT: —, GPT-4.1 mini: 35.8 (#82)
| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |
Multilingual GPT-4.1 mini leads
Gemma 3n E4b IT: 43.4 (#183), GPT-4.1 mini: 45.7 (#166)
| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1285 | 1318 |
| LMArena Chinese | 1309 | 1329 |
| LMArena French | 1330 | 1358 |
| LMArena German | 1311 | 1351 |
| LMArena Japanese | 1272 | 1290 |
| LMArena Korean | 1259 | 1298 |
| LMArena Russian | 1288 | 1324 |
| LMArena Spanish | 1305 | 1319 |
Instruction Following GPT-4.1 mini leads
Gemma 3n E4b IT: 66.1 (#210), GPT-4.1 mini: 73.7 (#118)
| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1255 | 1333 |
| IFEval | — | 90.4% |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.7 (#191), GPT-4.1 mini: 31.8 (#275)
| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1276 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), GPT-4.1 mini: 48.6 (#199)
| Benchmark | Gemma 3n E4b IT | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1306 | 1340 |
| LMArena Creative Writing | 1287 | 1300 |
| LMArena Multi-Turn | 1276 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |
Frequently asked questions
Is Gemma 3n E4b IT better than GPT-4.1 mini?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.6 on the Noometry Index.
Is Gemma 3n E4b IT or GPT-4.1 mini better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 30.6 in the Noometry coding category.
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.