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 · 3/8 categoriesGemma 4 E4B
~47
1/8 categoriesGemma 4 31B· Gemma 4 E4B
Gemma 4 31B makes more sense if reasoning is the priority or you need the larger 256K context window, while Gemma 4 E4B is the cleaner fit if knowledge is the priority.
Gemma 4 31B 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 31B is clearly ahead on the aggregate, 73 to 47. 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 25.4. The single biggest benchmark swing on the page is BBH, 74.4% to 33.1%. Gemma 4 E4B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Gemma 4 31B gives you the larger context window at 256K, 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 31B | Gemma 4 E4B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| CodingGemma 4 31B wins | ||
| LiveCodeBench | 80% | 52% |
| Multimodal & GroundedGemma 4 31B wins | ||
| MMMU-Pro | 76.9% | 52.6% |
| ReasoningGemma 4 31B wins | ||
| BBH | 74.4% | 33.1% |
| MRCRv2 | 66.4% | 25.4% |
| KnowledgeGemma 4 E4B wins | ||
| GPQA | 84.3% | 58.6% |
| MMLU-Pro | 85.2% | 69.4% |
| 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 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 31B is ahead overall 73 to 47.
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 65.6 versus 61.3. 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 52. 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 25.4. 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 52.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.