Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 8B
~50
Winner · 0/8 categorieso1-pro
45
2/8 categories1-bit Bonsai 8B· o1-pro
Pick 1-bit Bonsai 8B if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
1-bit Bonsai 8B is clearly ahead on the aggregate, 50 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for 1-bit Bonsai 8B. That is roughly Infinityx on output cost alone. o1-pro is the reasoning model in the pair, while 1-bit Bonsai 8B 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. o1-pro 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 | o1-pro |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 40% |
| BrowseComp | — | 50% |
| OSWorld-Verified | — | 32% |
| Coding | ||
| SWE-bench Pro | — | 23% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 48% |
| OfficeQA Pro | — | 49% |
| Reasoningo1-pro wins | ||
| MuSR | 50% | — |
| LongBench v2 | — | 54% |
| MRCRv2 | — | 59% |
| Knowledgeo1-pro wins | ||
| GPQA | 30% | 79% |
| FrontierScience | — | 63% |
| Instruction Following | ||
| IFEval | 79.8% | — |
| Multilingual | ||
| MMLU-ProX | — | 52% |
| Mathematics | ||
| MATH-500 | 66% | — |
| AIME 2024 | — | 86% |
1-bit Bonsai 8B is ahead overall, 50 to 45. The biggest single separator in this matchup is GPQA, where the scores are 30% and 79%.
o1-pro has the edge for knowledge tasks in this comparison, averaging 69.4 versus 30. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o1-pro has the edge for reasoning in this comparison, averaging 56.3 versus 50. 1-bit Bonsai 8B stays close enough that the answer can still flip depending on your workload.
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