Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 8B
~50
Winner · 2/8 categoriesClaude 3 Opus
49
2/8 categories1-bit Bonsai 8B· Claude 3 Opus
Pick 1-bit Bonsai 8B if you want the stronger benchmark profile. Claude 3 Opus only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
1-bit Bonsai 8B finishes one point ahead overall, 50 to 49. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
1-bit Bonsai 8B's sharpest advantage is in instruction following, where it averages 79.8 against 77. The single biggest benchmark swing on the page is GPQA, 30% to 61%. Claude 3 Opus does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude 3 Opus gives you the larger context window at 200K, 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 | Claude 3 Opus |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 44% |
| BrowseComp | — | 56% |
| OSWorld-Verified | — | 47% |
| Coding | ||
| HumanEval | — | 84.9% |
| SWE-bench Verified | — | 10% |
| LiveCodeBench | — | 20% |
| SWE-bench Pro | — | 20% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 73% |
| OfficeQA Pro | — | 67% |
| ReasoningClaude 3 Opus wins | ||
| MuSR | 50% | 57% |
| BBH | — | 74% |
| LongBench v2 | — | 62% |
| MRCRv2 | — | 63% |
| KnowledgeClaude 3 Opus wins | ||
| GPQA | 30% | 61% |
| MMLU | — | 86.8% |
| SuperGPQA | — | 59% |
| MMLU-Pro | — | 62% |
| HLE | — | 1% |
| FrontierScience | — | 56% |
| SimpleQA | — | 59% |
| Instruction Following1-bit Bonsai 8B wins | ||
| IFEval | 79.8% | 77% |
| Multilingual | ||
| MGSM | — | 73% |
| MMLU-ProX | — | 68% |
| Mathematics1-bit Bonsai 8B wins | ||
| MATH-500 | 66% | 73% |
| AIME 2023 | — | 61% |
| AIME 2024 | — | 63% |
| AIME 2025 | — | 62% |
| HMMT Feb 2023 | — | 57% |
| HMMT Feb 2024 | — | 59% |
| HMMT Feb 2025 | — | 58% |
| BRUMO 2025 | — | 60% |
1-bit Bonsai 8B is ahead overall, 50 to 49. The biggest single separator in this matchup is GPQA, where the scores are 30% and 61%.
Claude 3 Opus has the edge for knowledge tasks in this comparison, averaging 46 versus 30. Inside this category, GPQA is the benchmark that creates the most daylight between them.
1-bit Bonsai 8B has the edge for math in this comparison, averaging 66 versus 64.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Claude 3 Opus has the edge for reasoning in this comparison, averaging 61 versus 50. Inside this category, MuSR is the benchmark that creates the most daylight between them.
1-bit Bonsai 8B has the edge for instruction following in this comparison, averaging 79.8 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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