Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.2 (Thinking) is clearly ahead on the aggregate, 70 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.2 (Thinking)'s sharpest advantage is in reasoning, where it averages 80.6 against 30.1. The single biggest benchmark swing on the page is HumanEval, 79 to 15.
DeepSeek V3.2 (Thinking) is the reasoning model in the pair, while Ministral 3 3B 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 (Thinking) if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
DeepSeek V3.2 (Thinking)
69.4
Ministral 3 3B
22.9
DeepSeek V3.2 (Thinking)
51.2
Ministral 3 3B
6.2
DeepSeek V3.2 (Thinking)
71
Ministral 3 3B
30.4
DeepSeek V3.2 (Thinking)
80.6
Ministral 3 3B
30.1
DeepSeek V3.2 (Thinking)
64.4
Ministral 3 3B
24.5
DeepSeek V3.2 (Thinking)
85
Ministral 3 3B
67
DeepSeek V3.2 (Thinking)
80.8
Ministral 3 3B
59.7
DeepSeek V3.2 (Thinking)
85.1
Ministral 3 3B
36
DeepSeek V3.2 (Thinking) is ahead overall, 70 to 27. The biggest single separator in this matchup is HumanEval, where the scores are 79 and 15.
DeepSeek V3.2 (Thinking) has the edge for knowledge tasks in this comparison, averaging 64.4 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for coding in this comparison, averaging 51.2 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for math in this comparison, averaging 85.1 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for reasoning in this comparison, averaging 80.6 versus 30.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for agentic tasks in this comparison, averaging 69.4 versus 22.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for multimodal and grounded tasks in this comparison, averaging 71 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for instruction following in this comparison, averaging 85 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for multilingual tasks in this comparison, averaging 80.8 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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