Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
78
GPT-5.4 mini
68
Pick GPT-5.2 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Agentic
+10.4 difference
Knowledge
+35.0 difference
Multimodal
+3.7 difference
GPT-5.2
GPT-5.4 mini
$1.75 / $14
$0.75 / $4.5
73 t/s
201 t/s
130.34s
3.85s
400K
400K
Pick GPT-5.2 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if agentic is the priority or you want the cheaper token bill.
GPT-5.2 is clearly ahead on the provisional aggregate, 78 to 68. 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 57.4. The single biggest benchmark swing on the page is OSWorld-Verified, 47.3% to 72.1%. GPT-5.4 mini does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.75 input / $4.50 output per 1M tokens for GPT-5.4 mini. That is roughly 3.1x on output cost alone.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 78 to 68. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 47.3% and 72.1%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 57.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 55.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.3 versus 76.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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