Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 4B
~44
Winner · 1/8 categoriesClaude 3 Haiku
42
3/8 categories1-bit Bonsai 4B· Claude 3 Haiku
Pick 1-bit Bonsai 4B if you want the stronger benchmark profile. Claude 3 Haiku only becomes the better choice if reasoning is the priority or you need the larger 200K context window.
1-bit Bonsai 4B has the cleaner overall profile here, landing at 44 versus 42. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
1-bit Bonsai 4B's sharpest advantage is in mathematics, where it averages 65.8 against 59.8. The single biggest benchmark swing on the page is GPQA, 28.7% to 56%. Claude 3 Haiku does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Claude 3 Haiku gives you the larger context window at 200K, 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 | Claude 3 Haiku |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 40% |
| BrowseComp | — | 53% |
| OSWorld-Verified | — | 42% |
| Coding | ||
| HumanEval | — | 73% |
| SWE-bench Verified | — | 17% |
| LiveCodeBench | — | 20% |
| SWE-bench Pro | — | 19% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 70% |
| OfficeQA Pro | — | 67% |
| ReasoningClaude 3 Haiku wins | ||
| MuSR | 41.4% | 52% |
| BBH | — | 74% |
| LongBench v2 | — | 63% |
| MRCRv2 | — | 63% |
| KnowledgeClaude 3 Haiku wins | ||
| GPQA | 28.7% | 56% |
| MMLU | — | 75.2% |
| SuperGPQA | — | 54% |
| MMLU-Pro | — | 63% |
| HLE | — | 2% |
| FrontierScience | — | 50% |
| SimpleQA | — | 54% |
| Instruction FollowingClaude 3 Haiku wins | ||
| IFEval | 69.6% | 76% |
| Multilingual | ||
| MGSM | — | 73% |
| MMLU-ProX | — | 70% |
| Mathematics1-bit Bonsai 4B wins | ||
| MATH-500 | 65.8% | 71% |
| AIME 2023 | — | 56% |
| AIME 2024 | — | 58% |
| AIME 2025 | — | 57% |
| HMMT Feb 2023 | — | 52% |
| HMMT Feb 2024 | — | 54% |
| HMMT Feb 2025 | — | 53% |
| BRUMO 2025 | — | 55% |
1-bit Bonsai 4B is ahead overall, 44 to 42. The biggest single separator in this matchup is GPQA, where the scores are 28.7% and 56%.
Claude 3 Haiku has the edge for knowledge tasks in this comparison, averaging 43.5 versus 28.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
1-bit Bonsai 4B has the edge for math in this comparison, averaging 65.8 versus 59.8. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Claude 3 Haiku has the edge for reasoning in this comparison, averaging 60.1 versus 41.4. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Claude 3 Haiku has the edge for instruction following in this comparison, averaging 76 versus 69.6. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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