Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek V3.2 is clearly ahead on the aggregate, 72 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro 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. o1-pro gives you the larger context window at 200K, compared with 128K for DeepSeek V3.2.
Pick DeepSeek V3.2 if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
DeepSeek V3.2
68.5
o1-pro
79
DeepSeek V3.2
82.8
o1-pro
86
DeepSeek V3.2 is ahead overall, 72 to 33. The biggest single separator in this matchup is GPQA, where the scores are 83 and 79.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 68.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o1-pro has the edge for math in this comparison, averaging 86 versus 82.8. DeepSeek V3.2 stays close enough that the answer can still flip depending on your workload.
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