Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 1.7B
~39
0/8 categoriesGemini 1.0 Pro
41
Winner · 4/8 categories1-bit Bonsai 1.7B· Gemini 1.0 Pro
Pick Gemini 1.0 Pro if you want the stronger benchmark profile. 1-bit Bonsai 1.7B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemini 1.0 Pro has the cleaner overall profile here, landing at 41 versus 39. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemini 1.0 Pro's sharpest advantage is in mathematics, where it averages 64.6 against 34.4. The single biggest benchmark swing on the page is GPQA, 20.7% to 62%.
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 1.7B | Gemini 1.0 Pro |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 36% |
| BrowseComp | — | 51% |
| OSWorld-Verified | — | 36% |
| Coding | ||
| HumanEval | — | 54% |
| SWE-bench Verified | — | 5% |
| LiveCodeBench | — | 16% |
| SWE-bench Pro | — | 12% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 73% |
| OfficeQA Pro | — | 62% |
| ReasoningGemini 1.0 Pro wins | ||
| MuSR | 45.1% | 58% |
| BBH | — | 73% |
| LongBench v2 | — | 51% |
| MRCRv2 | — | 54% |
| KnowledgeGemini 1.0 Pro wins | ||
| GPQA | 20.7% | 62% |
| MMLU | — | 62% |
| SuperGPQA | — | 60% |
| MMLU-Pro | — | 54% |
| HLE | — | 1% |
| FrontierScience | — | 54% |
| SimpleQA | — | 60% |
| Instruction FollowingGemini 1.0 Pro wins | ||
| IFEval | 63% | 77% |
| Multilingual | ||
| MGSM | — | 72% |
| MMLU-ProX | — | 64% |
| MathematicsGemini 1.0 Pro wins | ||
| MATH-500 | 34.4% | 72% |
| AIME 2023 | — | 62% |
| AIME 2024 | — | 64% |
| AIME 2025 | — | 63% |
| HMMT Feb 2023 | — | 58% |
| HMMT Feb 2024 | — | 60% |
| HMMT Feb 2025 | — | 59% |
| BRUMO 2025 | — | 61% |
Gemini 1.0 Pro is ahead overall, 41 to 39. The biggest single separator in this matchup is GPQA, where the scores are 20.7% and 62%.
Gemini 1.0 Pro has the edge for knowledge tasks in this comparison, averaging 44.3 versus 20.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for math in this comparison, averaging 64.6 versus 34.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for reasoning in this comparison, averaging 53.9 versus 45.1. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for instruction following in this comparison, averaging 77 versus 63. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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