Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
1/8 categoriesGrok 3 Mini
~49
Winner · 1/8 categoriesGemma 4 E2B· Grok 3 Mini
Pick Grok 3 Mini if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if coding is the priority or you want the cheaper token bill.
Grok 3 Mini is clearly ahead on the aggregate, 49 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 3 Mini's sharpest advantage is in knowledge, where it averages 59.8 against 54.1. The single biggest benchmark swing on the page is GPQA, 43.4% to 66.2%. Gemma 4 E2B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Grok 3 Mini is also the more expensive model on tokens at $0.30 input / $0.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E2B. That is roughly Infinityx on output cost alone.
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 E2B | Grok 3 Mini |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| CodingGemma 4 E2B wins | ||
| LiveCodeBench | 44% | 41.5% |
| Multimodal & Grounded | ||
| MMMU-Pro | 44.2% | — |
| Reasoning | ||
| BBH | 21.9% | — |
| MRCRv2 | 19.1% | — |
| KnowledgeGrok 3 Mini wins | ||
| GPQA | 43.4% | 66.2% |
| MMLU-Pro | 60% | 78.9% |
| SimpleQA | — | 21.7% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| AIME 2024 | — | 95.8% |
Grok 3 Mini is ahead overall, 49 to 39. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 66.2%.
Grok 3 Mini has the edge for knowledge tasks in this comparison, averaging 59.8 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemma 4 E2B has the edge for coding in this comparison, averaging 44 versus 41.5. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
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