Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E4B
~47
2/8 categoriesGPT-4.1 mini
57
Winner · 2/8 categoriesGemma 4 E4B· GPT-4.1 mini
Pick GPT-4.1 mini if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-4.1 mini is clearly ahead on the aggregate, 57 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1 mini's sharpest advantage is in reasoning, where it averages 80.9 against 25.4. The single biggest benchmark swing on the page is MRCRv2, 25.4% to 82%. Gemma 4 E4B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini is also the more expensive model on tokens at $0.40 input / $1.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E4B. That is roughly Infinityx on output cost alone. Gemma 4 E4B is the reasoning model in the pair, while GPT-4.1 mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for Gemma 4 E4B.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | Gemma 4 E4B | GPT-4.1 mini |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 54% |
| BrowseComp | — | 71% |
| OSWorld-Verified | — | 49% |
| CodingGemma 4 E4B wins | ||
| LiveCodeBench | 52% | — |
| SWE-bench Verified | — | 23.6% |
| SWE-bench Pro | — | 30% |
| Multimodal & GroundedGPT-4.1 mini wins | ||
| MMMU-Pro | 52.6% | — |
| OfficeQA Pro | — | 74% |
| ReasoningGPT-4.1 mini wins | ||
| BBH | 33.1% | — |
| MRCRv2 | 25.4% | 82% |
| LongBench v2 | — | 80% |
| KnowledgeGemma 4 E4B wins | ||
| GPQA | 58.6% | 64.2% |
| MMLU-Pro | 69.4% | — |
| MMLU | — | 87.5% |
| Instruction Following | ||
| IFEval | — | 88.5% |
| Multilingual | ||
| MMLU-ProX | — | 72% |
| Mathematics | ||
| AIME 2024 | — | 23.1% |
GPT-4.1 mini is ahead overall, 57 to 47. The biggest single separator in this matchup is MRCRv2, where the scores are 25.4% and 82%.
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 65.6 versus 64.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemma 4 E4B has the edge for coding in this comparison, averaging 52 versus 27.6. GPT-4.1 mini stays close enough that the answer can still flip depending on your workload.
GPT-4.1 mini has the edge for reasoning in this comparison, averaging 80.9 versus 25.4. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for multimodal and grounded tasks in this comparison, averaging 74 versus 52.6. Gemma 4 E4B stays close enough that the answer can still flip depending on your workload.
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