Model comparison
Gemma 7B vs GPT-4.1 mini
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.0 on the Noometry Index.
Last verified . 14 shared benchmarks.
GoogleSummary
- They share 14 benchmarks with published results for both. Gemma 7B scores higher in 2 categories and GPT-4.1 mini in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.1 mini leads 73.7 to 51.5.
- Gemma 7B has downloadable open weights; the other is API-only.
Side by side
| Gemma 7B | GPT-4.1 mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 30.0 | 33.6 |
| Released | 2024-02-21 | 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 | 27 | 47 |
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Category by category
Coding Too close to call
Gemma 7B: 30.5 (#294), GPT-4.1 mini: 30.6 (#293)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| LMArena Coding | 1048 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, GPT-4.1 mini: 33.3 (#55)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |
Reasoning Gemma 7B leads
Gemma 7B: 19.9 (#249), GPT-4.1 mini: 10.8 (#340)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1349 |
| Epoch Capabilities Index | 111.99 | 135.01 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LMCA | — | 21.1% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Gemma 7B leads
Gemma 7B: 31.2 (#228), GPT-4.1 mini: 24.1 (#270)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| LMArena Math | 1066 | 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% |
| GSM8K | 46.4% | — |
Knowledge GPT-4.1 mini leads
Gemma 7B: 27.3 (#252), GPT-4.1 mini: 34.7 (#194)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| LMArena Expert | 1001 | 1338 |
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| GPQA (HELM) | — | 61.4% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multimodal Not comparable
Gemma 7B: —, GPT-4.1 mini: 35.8 (#82)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |
Multilingual GPT-4.1 mini leads
Gemma 7B: 25.1 (#287), GPT-4.1 mini: 45.7 (#166)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 999 | 1318 |
| LMArena Chinese | 1035 | 1329 |
| LMArena French | 1025 | 1358 |
| LMArena Russian | 993 | 1324 |
| LMArena German | — | 1351 |
| LMArena Japanese | — | 1290 |
| LMArena Korean | — | 1298 |
| LMArena Spanish | — | 1319 |
Instruction Following GPT-4.1 mini leads
Gemma 7B: 51.5 (#295), GPT-4.1 mini: 73.7 (#118)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1017 | 1333 |
| IFEval | — | 90.4% |
Long Context Too close to call
Gemma 7B: 31.1 (#282), GPT-4.1 mini: 31.8 (#275)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1022 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference GPT-4.1 mini leads
Gemma 7B: 27.1 (#302), GPT-4.1 mini: 48.6 (#199)
| Benchmark | Gemma 7B | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1056 | 1340 |
| LMArena Creative Writing | 1024 | 1300 |
| LMArena Multi-Turn | 963 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |
Frequently asked questions
Is Gemma 7B better than GPT-4.1 mini?
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.0 on the Noometry Index.
Is Gemma 7B or GPT-4.1 mini better for coding?
They score almost the same on coding (30.5 vs 30.6); test both on your own repository before choosing.
How many benchmarks do Gemma 7B and GPT-4.1 mini share?
14 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and GPT-4.1 mini has 47.