Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 8B
~50
Winner · 2/8 categoriesQwen3 235B 2507
48
2/8 categories1-bit Bonsai 8B· Qwen3 235B 2507
Pick 1-bit Bonsai 8B if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you need the larger 128K context window.
1-bit Bonsai 8B has the cleaner overall profile here, landing at 50 versus 48. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
1-bit Bonsai 8B's sharpest advantage is in mathematics, where it averages 66 against 55.7. The single biggest benchmark swing on the page is GPQA, 30% to 77.5%. Qwen3 235B 2507 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Qwen3 235B 2507 gives you the larger context window at 128K, 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 | Qwen3 235B 2507 |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 33% |
| BrowseComp | — | 40% |
| OSWorld-Verified | — | 30% |
| Coding | ||
| HumanEval | — | 31% |
| SWE-bench Verified | — | 15% |
| LiveCodeBench | — | 51.8% |
| SWE-bench Pro | — | 19% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 38% |
| OfficeQA Pro | — | 46% |
| Reasoning1-bit Bonsai 8B wins | ||
| MuSR | 50% | 35% |
| BBH | — | 60% |
| LongBench v2 | — | 52% |
| MRCRv2 | — | 52% |
| KnowledgeQwen3 235B 2507 wins | ||
| GPQA | 30% | 77.5% |
| MMLU | — | 39% |
| SuperGPQA | — | 62.6% |
| MMLU-Pro | — | 83% |
| FrontierScience | — | 39% |
| SimpleQA | — | 54.3% |
| Instruction FollowingQwen3 235B 2507 wins | ||
| IFEval | 79.8% | 88.7% |
| Multilingual | ||
| MGSM | — | 63% |
| MMLU-ProX | — | 79.4% |
| Mathematics1-bit Bonsai 8B wins | ||
| MATH-500 | 66% | 57% |
| AIME 2023 | — | 39% |
| AIME 2024 | — | 41% |
| AIME 2025 | — | 70.3% |
| HMMT Feb 2023 | — | 35% |
| HMMT Feb 2024 | — | 37% |
| HMMT Feb 2025 | — | 36% |
| BRUMO 2025 | — | 38% |
1-bit Bonsai 8B is ahead overall, 50 to 48. The biggest single separator in this matchup is GPQA, where the scores are 30% and 77.5%.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 63.8 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 55.7. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
1-bit Bonsai 8B has the edge for reasoning in this comparison, averaging 50 versus 47.5. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for instruction following in this comparison, averaging 88.7 versus 79.8. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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