Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Sibling matchup inside the Gemma 4 family.
Gemma 4 31B
73
Winner · 4/8 categoriesGemma 4 E2B
~39
0/8 categoriesGemma 4 31B· Gemma 4 E2B
Gemma 4 31B makes more sense if reasoning is the priority or you need the larger 256K context window, while Gemma 4 E2B is the cleaner fit if its score, price, or context tradeoffs line up better with your workload.
Gemma 4 31B and Gemma 4 E2B 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 31B is clearly ahead on the aggregate, 73 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 31B's sharpest advantage is in reasoning, where it averages 66.4 against 19.1. The single biggest benchmark swing on the page is BBH, 74.4% to 21.9%.
Gemma 4 31B gives you the larger context window at 256K, compared with 128K for Gemma 4 E2B.
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 31B | Gemma 4 E2B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| CodingGemma 4 31B wins | ||
| LiveCodeBench | 80% | 44% |
| Multimodal & GroundedGemma 4 31B wins | ||
| MMMU-Pro | 76.9% | 44.2% |
| ReasoningGemma 4 31B wins | ||
| BBH | 74.4% | 21.9% |
| MRCRv2 | 66.4% | 19.1% |
| KnowledgeGemma 4 31B wins | ||
| GPQA | 84.3% | 43.4% |
| MMLU-Pro | 85.2% | 60% |
| HLE | 26.5% | — |
| HLE w/o tools | 19.5% | — |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
Gemma 4 31B and Gemma 4 E2B 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 31B is ahead overall 73 to 39.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemma 4 31B has the edge for coding in this comparison, averaging 80 versus 44. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Gemma 4 31B has the edge for reasoning in this comparison, averaging 66.4 versus 19.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
Gemma 4 31B has the edge for multimodal and grounded tasks in this comparison, averaging 76.9 versus 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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