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 nano
60
Verified leaderboard positions: GPT-5.4 #12 · GPT-5.4 nano unranked
GPT-5.4 makes more sense if agentic is the priority or you need the larger 1.05M context window, while GPT-5.4 nano is the cleaner fit if you want the cheaper token bill.
Agentic
+34.1 difference
Knowledge
+12.9 difference
Multimodal
+6.6 difference
GPT-5.4
GPT-5.4 nano
$2.5 / $15
$0.2 / $1.25
74 t/s
191 t/s
151.79s
3.64s
1.05M
400K
GPT-5.4 makes more sense if agentic is the priority or you need the larger 1.05M context window, while GPT-5.4 nano is the cleaner fit if you want the cheaper token bill.
GPT-5.4 and GPT-5.4 nano 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 is clearly ahead on the provisional aggregate, 89 to 60. 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 42.9. The single biggest benchmark swing on the page is OSWorld-Verified, 75% to 39%.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.20 input / $1.25 output per 1M tokens for GPT-5.4 nano. That is roughly 12.0x on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 400K for GPT-5.4 nano.
GPT-5.4 and GPT-5.4 nano 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 is ahead on BenchLM's provisional leaderboard 89 to 60.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 66.1 versus 53.2. Inside this category, HLE w/o tools 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 42.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 72.7 versus 66.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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