Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
o1 is clearly ahead on the aggregate, 51 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1's sharpest advantage is in knowledge, where it averages 83.8 against 31.7. The single biggest benchmark swing on the page is MMLU, 91.8 to 34.
o1 gives you the larger context window at 200K, compared with 128K for DeepSeek V3.1 (Reasoning).
Pick o1 if you want the stronger benchmark profile. DeepSeek V3.1 (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
o1
83.8
DeepSeek V3.1 (Reasoning)
31.7
o1
41
DeepSeek V3.1 (Reasoning)
18.7
o1
74.3
DeepSeek V3.1 (Reasoning)
36.6
o1
92.2
DeepSeek V3.1 (Reasoning)
70
o1 is ahead overall, 51 to 37. The biggest single separator in this matchup is MMLU, where the scores are 91.8 and 34.
o1 has the edge for knowledge tasks in this comparison, averaging 83.8 versus 31.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o1 has the edge for coding in this comparison, averaging 41 versus 18.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o1 has the edge for math in this comparison, averaging 74.3 versus 36.6. 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 70. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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