Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 1.7B
~39
0/8 categoriesGrok Code Fast 1
56
Winner · 4/8 categories1-bit Bonsai 1.7B· Grok Code Fast 1
Pick Grok Code Fast 1 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 Code Fast 1 is clearly ahead on the aggregate, 56 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok Code Fast 1's sharpest advantage is in mathematics, where it averages 66.3 against 34.4. The single biggest benchmark swing on the page is GPQA, 20.7% to 63%.
Grok Code Fast 1 gives you the larger context window at 256K, 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 Code Fast 1 |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 59% |
| BrowseComp | — | 57% |
| OSWorld-Verified | — | 51% |
| Coding | ||
| HumanEval | — | 60% |
| SWE-bench Verified | — | 70.8% |
| LiveCodeBench | — | 80% |
| SWE-bench Pro | — | 42% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 40% |
| OfficeQA Pro | — | 63% |
| ReasoningGrok Code Fast 1 wins | ||
| MuSR | 45.1% | 59% |
| BBH | — | 75% |
| LongBench v2 | — | 64% |
| MRCRv2 | — | 66% |
| KnowledgeGrok Code Fast 1 wins | ||
| GPQA | 20.7% | 63% |
| MMLU | — | 64% |
| SuperGPQA | — | 61% |
| MMLU-Pro | — | 65% |
| HLE | — | 7% |
| FrontierScience | — | 57% |
| SimpleQA | — | 61% |
| Instruction FollowingGrok Code Fast 1 wins | ||
| IFEval | 63% | 79% |
| Multilingual | ||
| MGSM | — | 75% |
| MMLU-ProX | — | 73% |
| MathematicsGrok Code Fast 1 wins | ||
| MATH-500 | 34.4% | 73% |
| AIME 2023 | — | 64% |
| AIME 2024 | — | 66% |
| AIME 2025 | — | 65% |
| HMMT Feb 2023 | — | 60% |
| HMMT Feb 2024 | — | 62% |
| HMMT Feb 2025 | — | 61% |
| BRUMO 2025 | — | 63% |
Grok Code Fast 1 is ahead overall, 56 to 39. The biggest single separator in this matchup is GPQA, where the scores are 20.7% and 63%.
Grok Code Fast 1 has the edge for knowledge tasks in this comparison, averaging 49 versus 20.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Grok Code Fast 1 has the edge for math in this comparison, averaging 66.3 versus 34.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Grok Code Fast 1 has the edge for reasoning in this comparison, averaging 63.3 versus 45.1. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Grok Code Fast 1 has the edge for instruction following in this comparison, averaging 79 versus 63. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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