Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Z-1 is clearly ahead on the aggregate, 47 to 36. 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 multimodal & grounded, where it averages 50.5 against 33.4. The single biggest benchmark swing on the page is MMLU, 52 to 30.
Ministral 3 8B (Reasoning) is the reasoning model in the pair, while Z-1 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick Z-1 if you want the stronger benchmark profile. Ministral 3 8B (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
Z-1
42.2
Ministral 3 8B (Reasoning)
38.5
Z-1
26.7
Ministral 3 8B (Reasoning)
15.2
Z-1
50.5
Ministral 3 8B (Reasoning)
33.4
Z-1
54.8
Ministral 3 8B (Reasoning)
42.1
Z-1
42.7
Ministral 3 8B (Reasoning)
30
Z-1
80
Ministral 3 8B (Reasoning)
70
Z-1
72.7
Ministral 3 8B (Reasoning)
61.7
Z-1
60.9
Ministral 3 8B (Reasoning)
47.8
Z-1 is ahead overall, 47 to 36. The biggest single separator in this matchup is MMLU, where the scores are 52 and 30.
Z-1 has the edge for knowledge tasks in this comparison, averaging 42.7 versus 30. 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 15.2. 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 47.8. 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 42.1. 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 38.5. Inside this category, BrowseComp 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 33.4. 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 70. 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 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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