Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Z-1 is clearly ahead on the aggregate, 47 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Z-1's sharpest advantage is in mathematics, where it averages 60.9 against 36. The single biggest benchmark swing on the page is HumanEval, 44 to 15.
Pick Z-1 if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Z-1
42.2
Ministral 3 3B
22.9
Z-1
26.7
Ministral 3 3B
6.2
Z-1
50.5
Ministral 3 3B
30.4
Z-1
54.8
Ministral 3 3B
30.1
Z-1
42.7
Ministral 3 3B
24.5
Z-1
80
Ministral 3 3B
67
Z-1
72.7
Ministral 3 3B
59.7
Z-1
60.9
Ministral 3 3B
36
Z-1 is ahead overall, 47 to 27. The biggest single separator in this matchup is HumanEval, where the scores are 44 and 15.
Z-1 has the edge for knowledge tasks in this comparison, averaging 42.7 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Z-1 has the edge for coding in this comparison, averaging 26.7 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Z-1 has the edge for math in this comparison, averaging 60.9 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Z-1 has the edge for reasoning in this comparison, averaging 54.8 versus 30.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Z-1 has the edge for agentic tasks in this comparison, averaging 42.2 versus 22.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Z-1 has the edge for multimodal and grounded tasks in this comparison, averaging 50.5 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Z-1 has the edge for instruction following in this comparison, averaging 80 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Z-1 has the edge for multilingual tasks in this comparison, averaging 72.7 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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