Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Sibling matchup inside the Gemma 4 family.
Gemma 4 E2B
~39
0/8 categoriesGemma 4 E4B
~47
Winner · 4/8 categoriesGemma 4 E2B· Gemma 4 E4B
Gemma 4 E2B makes more sense if you want this variant’s specific profile, while Gemma 4 E4B is the cleaner fit if knowledge is the priority.
Gemma 4 E2B and Gemma 4 E4B sit in the same Gemma 4 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
Gemma 4 E4B is clearly ahead on the aggregate, 47 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 E4B's sharpest advantage is in knowledge, where it averages 65.6 against 54.1. The single biggest benchmark swing on the page is GPQA, 43.4% to 58.6%.
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 | Gemma 4 E4B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| CodingGemma 4 E4B wins | ||
| LiveCodeBench | 44% | 52% |
| Multimodal & GroundedGemma 4 E4B wins | ||
| MMMU-Pro | 44.2% | 52.6% |
| ReasoningGemma 4 E4B wins | ||
| BBH | 21.9% | 33.1% |
| MRCRv2 | 19.1% | 25.4% |
| KnowledgeGemma 4 E4B wins | ||
| GPQA | 43.4% | 58.6% |
| MMLU-Pro | 60% | 69.4% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
Gemma 4 E2B and Gemma 4 E4B are sibling variants in the Gemma 4 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. Gemma 4 E4B is ahead overall 47 to 39.
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 65.6 versus 54.1. 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 44. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Gemma 4 E4B has the edge for reasoning in this comparison, averaging 25.4 versus 19.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
Gemma 4 E4B has the edge for multimodal and grounded tasks in this comparison, averaging 52.6 versus 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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