Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 4B
~44
0/8 categoriesGemma 4 31B
73
Winner · 2/8 categories1-bit Bonsai 4B· Gemma 4 31B
Pick Gemma 4 31B if you want the stronger benchmark profile. 1-bit Bonsai 4B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemma 4 31B is clearly ahead on the aggregate, 73 to 44. 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 knowledge, where it averages 61.3 against 28.7. The single biggest benchmark swing on the page is GPQA, 28.7% to 84.3%.
Gemma 4 31B is the reasoning model in the pair, while 1-bit Bonsai 4B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemma 4 31B gives you the larger context window at 256K, compared with 32K for 1-bit Bonsai 4B.
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 | 1-bit Bonsai 4B | Gemma 4 31B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| LiveCodeBench | — | 80% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 76.9% |
| ReasoningGemma 4 31B wins | ||
| MuSR | 41.4% | — |
| BBH | — | 74.4% |
| MRCRv2 | — | 66.4% |
| KnowledgeGemma 4 31B wins | ||
| GPQA | 28.7% | 84.3% |
| MMLU-Pro | — | 85.2% |
| HLE | — | 26.5% |
| HLE w/o tools | — | 19.5% |
| Instruction Following | ||
| IFEval | 69.6% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | 65.8% | — |
Gemma 4 31B is ahead overall, 73 to 44. The biggest single separator in this matchup is GPQA, where the scores are 28.7% and 84.3%.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 versus 28.7. Inside this category, GPQA 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 41.4. 1-bit Bonsai 4B stays close enough that the answer can still flip depending on your workload.
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