1-bit Bonsai 1.7B vs Mistral Medium 3

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· Mistral Medium 3

Quick Verdict

Pick Mistral Medium 3 if you want the stronger benchmark profile. 1-bit Bonsai 1.7B only becomes the better choice if you want the cheaper token bill.

Mistral Medium 3 is clearly ahead on the aggregate, 52 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Mistral Medium 3's sharpest advantage is in mathematics, where it averages 91 against 34.4. The single biggest benchmark swing on the page is MATH-500, 34.4% to 91%.

Mistral Medium 3 is also the more expensive model on tokens at $0.40 input / $2.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for 1-bit Bonsai 1.7B. That is roughly Infinityx on output cost alone. Mistral Medium 3 gives you the larger context window at 128K, compared with 32K for 1-bit Bonsai 1.7B.

Operational tradeoffs

PriceFree*$0.40 / $2.00
SpeedN/A57 t/s
TTFTN/A1.20s
Context32K128K

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 1.7BMistral Medium 3
Agentic
Coming soon
Coding
HumanEval92.1%
LiveCodeBench30.3%
Multimodal & Grounded
Coming soon
Reasoning
MuSR45.1%
KnowledgeMistral Medium 3 wins
GPQA20.7%57.1%
MMLU-Pro77.2%
Instruction FollowingMistral Medium 3 wins
IFEval63%89.4%
Multilingual
Coming soon
MathematicsMistral Medium 3 wins
MATH-50034.4%91%
Frequently Asked Questions (4)

Which is better, 1-bit Bonsai 1.7B or Mistral Medium 3?

Mistral Medium 3 is ahead overall, 52 to 39. The biggest single separator in this matchup is MATH-500, where the scores are 34.4% and 91%.

Which is better for knowledge tasks, 1-bit Bonsai 1.7B or Mistral Medium 3?

Mistral Medium 3 has the edge for knowledge tasks in this comparison, averaging 70.1 versus 20.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for math, 1-bit Bonsai 1.7B or Mistral Medium 3?

Mistral Medium 3 has the edge for math in this comparison, averaging 91 versus 34.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.

Which is better for instruction following, 1-bit Bonsai 1.7B or Mistral Medium 3?

Mistral Medium 3 has the edge for instruction following in this comparison, averaging 89.4 versus 63. Inside this category, IFEval is the benchmark that creates the most daylight between them.

Last updated: March 31, 2026

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