1-bit Bonsai 1.7B vs Granite-4.0-350M

Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.

Agentic
Coding
Multimodal & Grounded
Reasoning
Knowledge
Instruction Following
Multilingual
Mathematics

1-bit Bonsai 1.7B· Granite-4.0-350M

Quick Verdict

Pick 1-bit Bonsai 1.7B if you want the stronger benchmark profile. Granite-4.0-350M only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.

1-bit Bonsai 1.7B is clearly ahead on the aggregate, 39 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

1-bit Bonsai 1.7B's sharpest advantage is in knowledge, where it averages 20.7 against 18.5. The single biggest benchmark swing on the page is GPQA, 20.7% to 26.1%.

Operational tradeoffs

ProviderPrism MLIBM
PriceFree*Free*
SpeedN/AN/A
TTFTN/AN/A
Context32K32K

Decision framing

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.

Benchmark1-bit Bonsai 1.7BGranite-4.0-350M
Agentic
Coming soon
Coding
HumanEval38%
Multimodal & Grounded
Coming soon
Reasoning
MuSR45.1%
BBH33.3%
Knowledge1-bit Bonsai 1.7B wins
GPQA20.7%26.1%
MMLU36.2%
MMLU-Pro14.4%
Instruction Following1-bit Bonsai 1.7B wins
IFEval63%61.6%
Multilingual
MGSM16.2%
Mathematics
MATH-50034.4%
Frequently Asked Questions (3)

Which is better, 1-bit Bonsai 1.7B or Granite-4.0-350M?

1-bit Bonsai 1.7B is ahead overall, 39 to 27. The biggest single separator in this matchup is GPQA, where the scores are 20.7% and 26.1%.

Which is better for knowledge tasks, 1-bit Bonsai 1.7B or Granite-4.0-350M?

1-bit Bonsai 1.7B has the edge for knowledge tasks in this comparison, averaging 20.7 versus 18.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for instruction following, 1-bit Bonsai 1.7B or Granite-4.0-350M?

1-bit Bonsai 1.7B has the edge for instruction following in this comparison, averaging 63 versus 61.6. Inside this category, IFEval is the benchmark that creates the most daylight between them.

Last updated: March 31, 2026

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