Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o1 finishes one point ahead overall, 26 to 25. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
o1's sharpest advantage is in knowledge, where it averages 75.7 against 69.6. The single biggest benchmark swing on the page is AIME 2024, 39.2% to 74.3%. DeepSeek V3 does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek V3. That is roughly 54.5x on output cost alone. o1 is the reasoning model in the pair, while DeepSeek V3 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 gives you the larger context window at 200K, compared with 128K for DeepSeek V3.
Pick o1 if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Benchmark data for this category is coming soon.
DeepSeek V3
42
o1
41
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
DeepSeek V3
69.6
o1
75.7
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
o1
74.3
o1 is ahead overall, 26 to 25. The biggest single separator in this matchup is AIME 2024, where the scores are 39.2% and 74.3%.
o1 has the edge for knowledge tasks in this comparison, averaging 75.7 versus 69.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V3 has the edge for coding in this comparison, averaging 42 versus 41. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek V3 has the edge for math in this comparison, averaging 90.2 versus 74.3. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
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