Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E4B
~47
1/8 categorieso1
64
Winner · 3/8 categoriesGemma 4 E4B· o1
Pick o1 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.
o1 is clearly ahead on the aggregate, 64 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1's sharpest advantage is in reasoning, where it averages 78.1 against 25.4. The single biggest benchmark swing on the page is MRCRv2, 25.4% to 77%. Gemma 4 E4B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 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. o1 gives you the larger context window at 200K, 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 | o1 |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 66% |
| BrowseComp | — | 72% |
| OSWorld-Verified | — | 60% |
| CodingGemma 4 E4B wins | ||
| LiveCodeBench | 52% | — |
| SWE-bench Verified | — | 41% |
| SWE-bench Pro | — | 50% |
| Multimodal & Groundedo1 wins | ||
| MMMU-Pro | 52.6% | 68% |
| OfficeQA Pro | — | 74% |
| Reasoningo1 wins | ||
| BBH | 33.1% | — |
| MRCRv2 | 25.4% | 77% |
| LongBench v2 | — | 79% |
| Knowledgeo1 wins | ||
| GPQA | 58.6% | 75.7% |
| MMLU-Pro | 69.4% | — |
| MMLU | — | 91.8% |
| FrontierScience | — | 65% |
| Instruction Following | ||
| IFEval | — | 92.2% |
| Multilingual | ||
| MMLU-ProX | — | 77% |
| Mathematics | ||
| AIME 2024 | — | 74.3% |
o1 is ahead overall, 64 to 47. The biggest single separator in this matchup is MRCRv2, where the scores are 25.4% and 77%.
o1 has the edge for knowledge tasks in this comparison, averaging 69.3 versus 65.6. 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 46.6. o1 stays close enough that the answer can still flip depending on your workload.
o1 has the edge for reasoning in this comparison, averaging 78.1 versus 25.4. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
o1 has the edge for multimodal and grounded tasks in this comparison, averaging 70.7 versus 52.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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