Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Sibling matchup inside the GPT-5.4 family.
GPT-5.4
88
GPT-5.4 Pro
92
Verified leaderboard positions: GPT-5.4 #13 · GPT-5.4 Pro unranked
GPT-5.4 makes more sense if knowledge is the priority or you want the cheaper token bill, while GPT-5.4 Pro is the cleaner fit if multimodal & grounded is the priority.
Agentic
+12.3 difference
Knowledge
+17.1 difference
Multimodal
+25.4 difference
GPT-5.4
GPT-5.4 Pro
$2.5 / $15
$30 / $180
74 t/s
74 t/s
151.79s
151.79s
1.05M
1.05M
GPT-5.4 makes more sense if knowledge is the priority or you want the cheaper token bill, while GPT-5.4 Pro is the cleaner fit if multimodal & grounded is the priority.
GPT-5.4 and GPT-5.4 Pro sit in the same GPT-5.4 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 92 to 88. 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 multimodal & grounded, where it averages 94 against 68.6. The single biggest benchmark swing on the page is MMMU-Pro, 81.2% to 94%. GPT-5.4 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 $2.50 input / $15.00 output per 1M tokens for GPT-5.4. That is roughly 12.0x on output cost alone.
GPT-5.4 and GPT-5.4 Pro are sibling variants in the GPT-5.4 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard 92 to 88.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 66.1 versus 49. Inside this category, HLE 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 77. 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 68.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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