Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 4B
~44
0/8 categoriesGemma 4 26B A4B
64
Winner · 2/8 categories1-bit Bonsai 4B· Gemma 4 26B A4B
Pick Gemma 4 26B A4B 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 26B A4B is clearly ahead on the aggregate, 64 to 44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 26B A4B's sharpest advantage is in knowledge, where it averages 56.1 against 28.7. The single biggest benchmark swing on the page is GPQA, 28.7% to 82.3%.
Gemma 4 26B A4B 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 26B A4B 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 26B A4B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| LiveCodeBench | — | 77.1% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 73.8% |
| ReasoningGemma 4 26B A4B wins | ||
| MuSR | 41.4% | — |
| BBH | — | 64.8% |
| MRCRv2 | — | 44.1% |
| KnowledgeGemma 4 26B A4B wins | ||
| GPQA | 28.7% | 82.3% |
| MMLU-Pro | — | 82.6% |
| HLE | — | 17.2% |
| HLE w/o tools | — | 8.7% |
| Instruction Following | ||
| IFEval | 69.6% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | 65.8% | — |
Gemma 4 26B A4B is ahead overall, 64 to 44. The biggest single separator in this matchup is GPQA, where the scores are 28.7% and 82.3%.
Gemma 4 26B A4B has the edge for knowledge tasks in this comparison, averaging 56.1 versus 28.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemma 4 26B A4B has the edge for reasoning in this comparison, averaging 44.1 versus 41.4. 1-bit Bonsai 4B stays close enough that the answer can still flip depending on your workload.
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