Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.1 is clearly ahead on the aggregate, 35 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.1's sharpest advantage is in reasoning, where it averages 40.7 against 30.1. The single biggest benchmark swing on the page is LongBench v2, 46 to 32.
Pick DeepSeek V3.1 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.
DeepSeek V3.1
32.9
Ministral 3 3B
22.9
DeepSeek V3.1
14.8
Ministral 3 3B
6.2
DeepSeek V3.1
39.5
Ministral 3 3B
30.4
DeepSeek V3.1
40.7
Ministral 3 3B
30.1
DeepSeek V3.1
30.5
Ministral 3 3B
24.5
DeepSeek V3.1
67
Ministral 3 3B
67
DeepSeek V3.1
60.8
Ministral 3 3B
59.7
DeepSeek V3.1
44.2
Ministral 3 3B
36
DeepSeek V3.1 is ahead overall, 35 to 27. The biggest single separator in this matchup is LongBench v2, where the scores are 46 and 32.
DeepSeek V3.1 has the edge for knowledge tasks in this comparison, averaging 30.5 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek V3.1 has the edge for coding in this comparison, averaging 14.8 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek V3.1 has the edge for math in this comparison, averaging 44.2 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek V3.1 has the edge for reasoning in this comparison, averaging 40.7 versus 30.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeek V3.1 has the edge for agentic tasks in this comparison, averaging 32.9 versus 22.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
DeepSeek V3.1 has the edge for multimodal and grounded tasks in this comparison, averaging 39.5 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
DeepSeek V3.1 and Ministral 3 3B are effectively tied for instruction following here, both landing at 67 on average.
DeepSeek V3.1 has the edge for multilingual tasks in this comparison, averaging 60.8 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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