Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.2 is clearly ahead on the aggregate, 64 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.2's sharpest advantage is in reasoning, where it averages 75.3 against 36.1. The single biggest benchmark swing on the page is MMLU, 84 to 28.
Pick DeepSeek V3.2 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.
DeepSeek V3.2
58.8
Ministral 3 8B
28.9
DeepSeek V3.2
43.2
Ministral 3 8B
14.2
DeepSeek V3.2
66
Ministral 3 8B
32.4
DeepSeek V3.2
75.3
Ministral 3 8B
36.1
DeepSeek V3.2
60
Ministral 3 8B
28
DeepSeek V3.2
85
Ministral 3 8B
69
DeepSeek V3.2
82.1
Ministral 3 8B
61.7
DeepSeek V3.2
82.1
Ministral 3 8B
43.3
DeepSeek V3.2 is ahead overall, 64 to 32. The biggest single separator in this matchup is MMLU, where the scores are 84 and 28.
DeepSeek V3.2 has the edge for knowledge tasks in this comparison, averaging 60 versus 28. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for coding in this comparison, averaging 43.2 versus 14.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for math in this comparison, averaging 82.1 versus 43.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for reasoning in this comparison, averaging 75.3 versus 36.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for agentic tasks in this comparison, averaging 58.8 versus 28.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for multimodal and grounded tasks in this comparison, averaging 66 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for instruction following in this comparison, averaging 85 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for multilingual tasks in this comparison, averaging 82.1 versus 61.7. 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.