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 31. 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 coding, where it averages 19.9 against 7.2. The single biggest benchmark swing on the page is LongBench v2, 57 to 37.
Pick DeepSeek V3.1 (Reasoning) if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
DeepSeek V3.1 (Reasoning)
44.2
Ministral 3 3B (Reasoning)
34
DeepSeek V3.1 (Reasoning)
19.9
Ministral 3 3B (Reasoning)
7.2
DeepSeek V3.1 (Reasoning)
41.5
Ministral 3 3B (Reasoning)
30.4
DeepSeek V3.1 (Reasoning)
45.8
Ministral 3 3B (Reasoning)
35.3
DeepSeek V3.1 (Reasoning)
32.8
Ministral 3 3B (Reasoning)
25.2
DeepSeek V3.1 (Reasoning)
70
Ministral 3 3B (Reasoning)
68
DeepSeek V3.1 (Reasoning)
62.1
Ministral 3 3B (Reasoning)
59.7
DeepSeek V3.1 (Reasoning)
46.1
Ministral 3 3B (Reasoning)
40.9
DeepSeek V3.1 (Reasoning) is ahead overall, 41 to 31. The biggest single separator in this matchup is LongBench v2, where the scores are 57 and 37.
DeepSeek V3.1 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 32.8 versus 25.2. Inside this category, MMLU 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 7.2. 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 40.9. 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 35.3. 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 34. Inside this category, BrowseComp 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 30.4. 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 68. 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 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.