Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.1 (Reasoning) is clearly ahead on the aggregate, 41 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.1 (Reasoning)'s sharpest advantage is in agentic, where it averages 44.2 against 28.9. The single biggest benchmark swing on the page is LongBench v2, 57 to 38.
DeepSeek V3.1 (Reasoning) is the reasoning model in the pair, while Ministral 3 8B 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 (Reasoning) if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
DeepSeek V3.1 (Reasoning)
44.2
Ministral 3 8B
28.9
DeepSeek V3.1 (Reasoning)
19.9
Ministral 3 8B
14.2
DeepSeek V3.1 (Reasoning)
41.5
Ministral 3 8B
32.4
DeepSeek V3.1 (Reasoning)
45.8
Ministral 3 8B
36.1
DeepSeek V3.1 (Reasoning)
32.8
Ministral 3 8B
28
DeepSeek V3.1 (Reasoning)
70
Ministral 3 8B
69
DeepSeek V3.1 (Reasoning)
62.1
Ministral 3 8B
61.7
DeepSeek V3.1 (Reasoning)
46.1
Ministral 3 8B
43.3
DeepSeek V3.1 (Reasoning) is ahead overall, 41 to 32. The biggest single separator in this matchup is LongBench v2, where the scores are 57 and 38.
DeepSeek V3.1 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 32.8 versus 28. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for coding in this comparison, averaging 19.9 versus 14.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for math in this comparison, averaging 46.1 versus 43.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for reasoning in this comparison, averaging 45.8 versus 36.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for agentic tasks in this comparison, averaging 44.2 versus 28.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 41.5 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for instruction following in this comparison, averaging 70 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for multilingual tasks in this comparison, averaging 62.1 versus 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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