Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek Coder 2.0 is clearly ahead on the aggregate, 73 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 $0.27 input / $1.10 output per 1M tokens for DeepSeek Coder 2.0. That is roughly 545.5x on output cost alone. o1-pro is the reasoning model in the pair, while DeepSeek Coder 2.0 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 Coder 2.0.
Pick DeepSeek Coder 2.0 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 Coder 2.0
66.3
o1-pro
79
DeepSeek Coder 2.0
80.1
o1-pro
86
DeepSeek Coder 2.0 is ahead overall, 73 to 33. The biggest single separator in this matchup is AIME 2024, where the scores are 83 and 86.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 66.3. DeepSeek Coder 2.0 stays close enough that the answer can still flip depending on your workload.
o1-pro has the edge for math in this comparison, averaging 86 versus 80.1. 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.