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
89
GPT-5.4 Pro
91
Verified leaderboard positions: GPT-5.4 #16 · 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
+21.3 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 has the cleaner provisional overall profile here, landing at 91 versus 89. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.4 Pro's sharpest advantage is in multimodal & grounded, where it averages 94 against 72.7. 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 91 to 89.
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 72.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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