Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeekMath V2 is clearly ahead on the aggregate, 71 to 51. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeekMath V2's sharpest advantage is in coding, where it averages 53.7 against 41. The single biggest benchmark swing on the page is MMLU, 80 to 91.8. o1 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
o1 gives you the larger context window at 200K, compared with 128K for DeepSeekMath V2.
Pick DeepSeekMath V2 if you want the stronger benchmark profile. o1 only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
DeepSeekMath V2
67.2
o1
83.8
DeepSeekMath V2
53.7
o1
41
DeepSeekMath V2
80.4
o1
74.3
DeepSeekMath V2
83
o1
92.2
DeepSeekMath V2 is ahead overall, 71 to 51. The biggest single separator in this matchup is MMLU, where the scores are 80 and 91.8.
o1 has the edge for knowledge tasks in this comparison, averaging 83.8 versus 67.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for coding in this comparison, averaging 53.7 versus 41. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for math in this comparison, averaging 80.4 versus 74.3. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o1 has the edge for instruction following in this comparison, averaging 92.2 versus 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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