Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 4B
~44
Winner · 0/8 categoriesMistral 7B v0.3
~29
1/8 categories1-bit Bonsai 4B· Mistral 7B v0.3
Pick 1-bit Bonsai 4B if you want the stronger benchmark profile. Mistral 7B v0.3 only becomes the better choice if knowledge is the priority.
1-bit Bonsai 4B is clearly ahead on the aggregate, 44 to 29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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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 | Mistral 7B v0.3 |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| HumanEval | — | 30.5% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| MuSR | 41.4% | — |
| KnowledgeMistral 7B v0.3 wins | ||
| GPQA | 28.7% | — |
| MMLU | — | 60.1% |
| FrontierScience | — | 34% |
| SimpleQA | — | 28% |
| Instruction Following | ||
| IFEval | 69.6% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | 65.8% | — |
1-bit Bonsai 4B is ahead overall, 44 to 29.
Mistral 7B v0.3 has the edge for knowledge tasks in this comparison, averaging 31.5 versus 28.7. 1-bit Bonsai 4B stays close enough that the answer can still flip depending on your workload.
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