Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 1.7B
~39
0/8 categoriesGrok 3 [Beta]
46
Winner · 4/8 categories1-bit Bonsai 1.7B· Grok 3 [Beta]
Pick Grok 3 [Beta] 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.
Grok 3 [Beta] is clearly ahead on the aggregate, 46 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 3 [Beta]'s sharpest advantage is in knowledge, where it averages 44.9 against 20.7. The single biggest benchmark swing on the page is GPQA, 20.7% to 75.4%.
Grok 3 [Beta] gives you the larger context window at 128K, compared with 32K for 1-bit Bonsai 1.7B.
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 | Grok 3 [Beta] |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 32% |
| BrowseComp | — | 41% |
| OSWorld-Verified | — | 36% |
| Coding | ||
| HumanEval | — | 34% |
| SWE-bench Verified | — | 19% |
| LiveCodeBench | — | 57% |
| SWE-bench Pro | — | 21% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 40% |
| OfficeQA Pro | — | 47% |
| ReasoningGrok 3 [Beta] wins | ||
| MuSR | 45.1% | 38% |
| BBH | — | 62% |
| LongBench v2 | — | 53% |
| MRCRv2 | — | 52% |
| KnowledgeGrok 3 [Beta] wins | ||
| GPQA | 20.7% | 75.4% |
| MMLU | — | 42% |
| SuperGPQA | — | 39% |
| MMLU-Pro | — | 79.9% |
| HLE | — | 3% |
| FrontierScience | — | 40% |
| SimpleQA | — | 43.6% |
| Instruction FollowingGrok 3 [Beta] wins | ||
| IFEval | 63% | 67% |
| Multilingual | ||
| MGSM | — | 60% |
| MMLU-ProX | — | 58% |
| MathematicsGrok 3 [Beta] wins | ||
| MATH-500 | 34.4% | 59% |
| AIME 2023 | — | 42% |
| AIME 2024 | — | 52.2% |
| AIME 2025 | — | 43% |
| HMMT Feb 2023 | — | 38% |
| HMMT Feb 2024 | — | 40% |
| HMMT Feb 2025 | — | 39% |
| BRUMO 2025 | — | 41% |
Grok 3 [Beta] is ahead overall, 46 to 39. The biggest single separator in this matchup is GPQA, where the scores are 20.7% and 75.4%.
Grok 3 [Beta] has the edge for knowledge tasks in this comparison, averaging 44.9 versus 20.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Grok 3 [Beta] has the edge for math in this comparison, averaging 46.3 versus 34.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Grok 3 [Beta] has the edge for reasoning in this comparison, averaging 48.7 versus 45.1. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Grok 3 [Beta] has the edge for instruction following in this comparison, averaging 67 versus 63. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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