Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
o1-pro
29
o3-mini
56
Pick o3-mini if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority.
Knowledge
+1.8 difference
o1-pro
o3-mini
$150 / $600
$1.1 / $4.4
N/A
160 t/s
N/A
7.12s
200K
200K
Pick o3-mini if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority.
o3-mini is clearly ahead on the provisional aggregate, 56 to 29. 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 $1.10 input / $4.40 output per 1M tokens for o3-mini. That is roughly 136.4x on output cost alone.
o3-mini is ahead on BenchLM's provisional leaderboard, 56 to 29. The biggest single separator in this matchup is GPQA, where the scores are 79% and 77.2%.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 77.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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