Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
79
o1
57
Pick GPT-5.2 if you want the stronger benchmark profile. o1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Knowledge
+16.7 difference
GPT-5.2
o1
$1.75 / $14
$15 / $60
73 t/s
98 t/s
130.34s
32.29s
400K
200K
Pick GPT-5.2 if you want the stronger benchmark profile. o1 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, 79 to 57. 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 75.7. The single biggest benchmark swing on the page is GPQA, 92.4% to 75.7%.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2. That is roughly 4.3x on output cost alone. GPT-5.2 gives you the larger context window at 400K, compared with 200K for o1.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 79 to 57. The biggest single separator in this matchup is GPQA, where the scores are 92.4% and 75.7%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 75.7. Inside this category, AA-HLE is the benchmark that creates the most daylight between them.
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