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 mini
71
GPT-5.4 nano
60
GPT-5.4 mini makes more sense if agentic is the priority, while GPT-5.4 nano is the cleaner fit if you want the cheaper token bill.
Agentic
+22.7 difference
Knowledge
+4.2 difference
Multimodal
+10.5 difference
GPT-5.4 mini
GPT-5.4 nano
$0.75 / $4.5
$0.2 / $1.25
201 t/s
191 t/s
3.85s
3.64s
400K
400K
GPT-5.4 mini makes more sense if agentic is the priority, while GPT-5.4 nano is the cleaner fit if you want the cheaper token bill.
GPT-5.4 mini 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 mini is clearly ahead on the provisional aggregate, 71 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini's sharpest advantage is in agentic, where it averages 65.6 against 42.9. The single biggest benchmark swing on the page is OSWorld-Verified, 72.1% to 39%.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.20 input / $1.25 output per 1M tokens for GPT-5.4 nano. That is roughly 3.6x on output cost alone.
GPT-5.4 mini 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 mini is ahead on BenchLM's provisional leaderboard 71 to 60.
GPT-5.4 mini has the edge for knowledge tasks in this comparison, averaging 57.4 versus 53.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 42.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for multimodal and grounded tasks in this comparison, averaging 76.6 versus 66.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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