Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek-R1 is clearly ahead on the aggregate, 43 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.55 input / $2.19 output per 1M tokens for DeepSeek-R1. That is roughly 274.0x on output cost alone. o1-pro gives you the larger context window at 200K, compared with 128K for DeepSeek-R1.
Pick DeepSeek-R1 if you want the stronger benchmark profile. o1-pro only becomes the better choice if mathematics is the priority or you need the larger 200K context window.
DeepSeek-R1
38.8
o1-pro
79
DeepSeek-R1
45.6
o1-pro
86
DeepSeek-R1 is ahead overall, 43 to 33. The biggest single separator in this matchup is AIME 2024, where the scores are 46 and 86.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 38.8. 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 45.6. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.