Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 1.7B
~39
0/8 categoriesGranite-4.0-1B
~40
Winner · 2/8 categories1-bit Bonsai 1.7B· Granite-4.0-1B
Pick Granite-4.0-1B 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.
Granite-4.0-1B finishes one point ahead overall, 40 to 39. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Granite-4.0-1B's sharpest advantage is in instruction following, where it averages 78.5 against 63. The single biggest benchmark swing on the page is IFEval, 63% to 78.5%.
Granite-4.0-1B 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 | Granite-4.0-1B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| HumanEval | — | 73% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| MuSR | 45.1% | — |
| BBH | — | 59.7% |
| KnowledgeGranite-4.0-1B wins | ||
| GPQA | 20.7% | 29.7% |
| MMLU | — | 59.7% |
| MMLU-Pro | — | 32.9% |
| Instruction FollowingGranite-4.0-1B wins | ||
| IFEval | 63% | 78.5% |
| Multilingual | ||
| MGSM | — | 27.5% |
| Mathematics | ||
| MATH-500 | 34.4% | — |
Granite-4.0-1B is ahead overall, 40 to 39. The biggest single separator in this matchup is IFEval, where the scores are 63% and 78.5%.
Granite-4.0-1B has the edge for knowledge tasks in this comparison, averaging 31.7 versus 20.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Granite-4.0-1B has the edge for instruction following in this comparison, averaging 78.5 versus 63. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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