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 31. 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 multimodal & grounded, where it averages 39.5 against 30.4. The single biggest benchmark swing on the page is MMMU-Pro, 35 to 25. Ministral 3 3B (Reasoning) does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Ministral 3 3B (Reasoning) is the reasoning model in the pair, while DeepSeek V3.1 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 DeepSeek V3.1 if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if agentic is the priority or you want the stronger reasoning-first profile.
DeepSeek V3.1
32.9
Ministral 3 3B (Reasoning)
34
DeepSeek V3.1
14.8
Ministral 3 3B (Reasoning)
7.2
DeepSeek V3.1
39.5
Ministral 3 3B (Reasoning)
30.4
DeepSeek V3.1
40.7
Ministral 3 3B (Reasoning)
35.3
DeepSeek V3.1
30.5
Ministral 3 3B (Reasoning)
25.2
DeepSeek V3.1
67
Ministral 3 3B (Reasoning)
68
DeepSeek V3.1
60.8
Ministral 3 3B (Reasoning)
59.7
DeepSeek V3.1
44.2
Ministral 3 3B (Reasoning)
40.9
DeepSeek V3.1 is ahead overall, 35 to 31. The biggest single separator in this matchup is MMMU-Pro, where the scores are 35 and 25.
DeepSeek V3.1 has the edge for knowledge tasks in this comparison, averaging 30.5 versus 25.2. 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 7.2. 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 40.9. 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 35.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Ministral 3 3B (Reasoning) has the edge for agentic tasks in this comparison, averaging 34 versus 32.9. Inside this category, Terminal-Bench 2.0 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.
Ministral 3 3B (Reasoning) has the edge for instruction following in this comparison, averaging 68 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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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