Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Moonshot v1 is clearly ahead on the aggregate, 47 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Moonshot v1's sharpest advantage is in multimodal & grounded, where it averages 52.6 against 32.4. The single biggest benchmark swing on the page is MMLU, 53 to 28.
Pick Moonshot v1 if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Moonshot v1
42.2
Ministral 3 8B
28.9
Moonshot v1
26.4
Ministral 3 8B
14.2
Moonshot v1
52.6
Ministral 3 8B
32.4
Moonshot v1
55.5
Ministral 3 8B
36.1
Moonshot v1
42.3
Ministral 3 8B
28
Moonshot v1
77
Ministral 3 8B
69
Moonshot v1
69.8
Ministral 3 8B
61.7
Moonshot v1
61
Ministral 3 8B
43.3
Moonshot v1 is ahead overall, 47 to 32. The biggest single separator in this matchup is MMLU, where the scores are 53 and 28.
Moonshot v1 has the edge for knowledge tasks in this comparison, averaging 42.3 versus 28. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for coding in this comparison, averaging 26.4 versus 14.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for math in this comparison, averaging 61 versus 43.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for reasoning in this comparison, averaging 55.5 versus 36.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for agentic tasks in this comparison, averaging 42.2 versus 28.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for multimodal and grounded tasks in this comparison, averaging 52.6 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for instruction following in this comparison, averaging 77 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for multilingual tasks in this comparison, averaging 69.8 versus 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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