Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 8B
~50
Winner · 1/8 categoriesGemma 4 E4B
~47
1/8 categories1-bit Bonsai 8B· Gemma 4 E4B
Pick 1-bit Bonsai 8B if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if knowledge is the priority or you need the larger 128K context window.
1-bit Bonsai 8B has the cleaner overall profile here, landing at 50 versus 47. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
1-bit Bonsai 8B's sharpest advantage is in reasoning, where it averages 50 against 25.4. The single biggest benchmark swing on the page is GPQA, 30% to 58.6%. 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 E4B is the reasoning model in the pair, while 1-bit Bonsai 8B 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 E4B gives you the larger context window at 128K, compared with 64K for 1-bit Bonsai 8B.
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 8B | Gemma 4 E4B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| LiveCodeBench | — | 52% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 52.6% |
| Reasoning1-bit Bonsai 8B wins | ||
| MuSR | 50% | — |
| BBH | — | 33.1% |
| MRCRv2 | — | 25.4% |
| KnowledgeGemma 4 E4B wins | ||
| GPQA | 30% | 58.6% |
| MMLU-Pro | — | 69.4% |
| Instruction Following | ||
| IFEval | 79.8% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | 66% | — |
1-bit Bonsai 8B is ahead overall, 50 to 47. The biggest single separator in this matchup is GPQA, where the scores are 30% and 58.6%.
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 65.6 versus 30. Inside this category, GPQA is the benchmark that creates the most daylight between them.
1-bit Bonsai 8B has the edge for reasoning in this comparison, averaging 50 versus 25.4. Gemma 4 E4B stays close enough that the answer can still flip depending on your workload.
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