Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
79
GPT-5.4
89
Verified leaderboard positions: GPT-5.2 unranked · GPT-5.4 #16
Pick GPT-5.4 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
+21.8 difference
Coding
+7.0 difference
Knowledge
+26.3 difference
Multimodal
+7.6 difference
GPT-5.2
GPT-5.4
$1.75 / $14
$2.5 / $15
73 t/s
74 t/s
130.34s
151.79s
400K
1.05M
Pick GPT-5.4 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 is clearly ahead on the provisional aggregate, 89 to 79. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in agentic, where it averages 77 against 55.2. The single biggest benchmark swing on the page is OSWorld-Verified, 47.3% to 75%. 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 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2. GPT-5.4 gives you the larger context window at 1.05M, compared with 400K for GPT-5.2.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 89 to 79. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 47.3% and 75%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 66.1. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for coding in this comparison, averaging 64.7 versus 57.7. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 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 72.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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