Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
81
o1-pro
29
Pick GPT-5.2 if you want the stronger benchmark profile. o1-pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Knowledge
+13.4 difference
GPT-5.2
o1-pro
$1.75 / $14
$150 / $600
73 t/s
N/A
130.34s
N/A
400K
200K
Pick GPT-5.2 if you want the stronger benchmark profile. o1-pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 is clearly ahead on the provisional aggregate, 81 to 29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 79. The single biggest benchmark swing on the page is GPQA, 92.4% to 79%.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2. That is roughly 42.9x on output cost alone. GPT-5.2 gives you the larger context window at 400K, compared with 200K for o1-pro.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 81 to 29. The biggest single separator in this matchup is GPQA, where the scores are 92.4% and 79%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 79. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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