Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 1.7B
~39
Winner · 0/8 categoriesMistral 7B v0.3
~29
1/8 categories1-bit Bonsai 1.7B· Mistral 7B v0.3
Pick 1-bit Bonsai 1.7B if you want the stronger benchmark profile. Mistral 7B v0.3 only becomes the better choice if knowledge is the priority.
1-bit Bonsai 1.7B is clearly ahead on the aggregate, 39 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 1.7B | Mistral 7B v0.3 |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| HumanEval | — | 30.5% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| MuSR | 45.1% | — |
| KnowledgeMistral 7B v0.3 wins | ||
| GPQA | 20.7% | — |
| MMLU | — | 60.1% |
| FrontierScience | — | 34% |
| SimpleQA | — | 28% |
| Instruction Following | ||
| IFEval | 63% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | 34.4% | — |
1-bit Bonsai 1.7B is ahead overall, 39 to 29.
Mistral 7B v0.3 has the edge for knowledge tasks in this comparison, averaging 31.5 versus 20.7. 1-bit Bonsai 1.7B stays close enough that the answer can still flip depending on your workload.
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