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 60. 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 coding, where it averages 43.2 against 35. The single biggest benchmark swing on the page is HumanEval, 76 to 62. Ministral 3 14B (Reasoning) does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while DeepSeek V3.2 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 V3.2 if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if multimodal & grounded is the priority or you want the stronger reasoning-first profile.
DeepSeek V3.2
58.8
Ministral 3 14B (Reasoning)
58.5
DeepSeek V3.2
43.2
Ministral 3 14B (Reasoning)
35
DeepSeek V3.2
66
Ministral 3 14B (Reasoning)
71.5
DeepSeek V3.2
75.3
Ministral 3 14B (Reasoning)
69.2
DeepSeek V3.2
60
Ministral 3 14B (Reasoning)
52.1
DeepSeek V3.2
85
Ministral 3 14B (Reasoning)
81
DeepSeek V3.2
82.1
Ministral 3 14B (Reasoning)
77.8
DeepSeek V3.2
82.1
Ministral 3 14B (Reasoning)
75.2
DeepSeek V3.2 is ahead overall, 64 to 60. The biggest single separator in this matchup is HumanEval, where the scores are 76 and 62.
DeepSeek V3.2 has the edge for knowledge tasks in this comparison, averaging 60 versus 52.1. 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 35. 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 75.2. 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 69.2. 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 58.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 71.5 versus 66. 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 81. 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 77.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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