Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5.4 Pro is clearly ahead on the aggregate, 94 to 90. 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 coding, where it averages 89 against 82. The single biggest benchmark swing on the page is HLE, 50 to 38.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $15.00 input / $75.00 output per 1M tokens for Claude Opus 4.6. That is roughly 2.4x on output cost alone. GPT-5.4 Pro is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for Claude Opus 4.6.
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Claude Opus 4.6 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 Pro
88.8
Claude Opus 4.6
85.7
GPT-5.4 Pro
89
Claude Opus 4.6
82
GPT-5.4 Pro
98
Claude Opus 4.6
97.3
GPT-5.4 Pro
96.7
Claude Opus 4.6
94
GPT-5.4 Pro
97
Claude Opus 4.6
95
GPT-5.4 Pro
97
Claude Opus 4.6
96
GPT-5.4 Pro is ahead overall, 94 to 90. The biggest single separator in this matchup is HLE, where the scores are 50 and 38.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 88.8 versus 85.7. 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 82. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for math in this comparison, averaging 98 versus 97.3. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 96.7 versus 94. Inside this category, BBH 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 95. 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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