Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Sibling matchup inside the GPT-5.4 family.
GPT-5.4 Pro and GPT-5.4 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 finishes one point ahead overall, 94 to 93. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-5.4 Pro's sharpest advantage is in coding, where it averages 89 against 87.7. The single biggest benchmark swing on the page is HLE, 50 to 48.
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 Pro makes more sense if coding is the priority, while GPT-5.4 is the cleaner fit if you want the cheaper token bill.
GPT-5.4 Pro
88.8
GPT-5.4
88
GPT-5.4 Pro
89
GPT-5.4
87.7
GPT-5.4 Pro
98
GPT-5.4
98
GPT-5.4 Pro
96.7
GPT-5.4
96
GPT-5.4 Pro
97
GPT-5.4
96
GPT-5.4 Pro
97
GPT-5.4
96
GPT-5.4 Pro and GPT-5.4 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 overall 94 to 93.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 88.8 versus 88. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for coding in this comparison, averaging 89 versus 87.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.4 Pro and GPT-5.4 are effectively tied for math here, both landing at 98 on average.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 96.7 versus 96. Inside this category, MuSR is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for instruction following in this comparison, averaging 97 versus 96. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multilingual tasks in this comparison, averaging 97 versus 96. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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