Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
83
GPT-5.4 Pro
92
Pick GPT-5.4 Pro if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+34.1 difference
Reasoning
+30.4 difference
Knowledge
+43.4 difference
Multimodal
+14.5 difference
GPT-5.2
GPT-5.4 Pro
$1.75 / $14
$30 / $180
73 t/s
74 t/s
130.34s
151.79s
400K
1.05M
Pick GPT-5.4 Pro if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 92 to 83. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in agentic, where it averages 89.3 against 55.2. The single biggest benchmark swing on the page is ARC-AGI-2, 52.9% to 83.3%. GPT-5.2 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2. That is roughly 12.9x on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 400K for GPT-5.2.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 92 to 83. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 52.9% and 83.3%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 49. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 83.3 versus 52.9. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 55.2. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 79.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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