Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5.4 Pro is clearly ahead on the aggregate, 94 to 66. 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 48.3. The single biggest benchmark swing on the page is LiveCodeBench, 86 to 35.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.5. That is roughly 150.0x on output cost alone. GPT-5.4 Pro is the reasoning model in the pair, while MiniMax M2.5 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 128K for MiniMax M2.5.
Pick GPT-5.4 Pro if you want the stronger benchmark profile. MiniMax M2.5 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
MiniMax M2.5
61
GPT-5.4 Pro
89
MiniMax M2.5
48.3
GPT-5.4 Pro
98
MiniMax M2.5
73.1
GPT-5.4 Pro
96.7
MiniMax M2.5
73.7
GPT-5.4 Pro
97
MiniMax M2.5
85
GPT-5.4 Pro
97
MiniMax M2.5
84
GPT-5.4 Pro is ahead overall, 94 to 66. The biggest single separator in this matchup is LiveCodeBench, where the scores are 86 and 35.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 88.8 versus 61. 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 48.3. 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 73.1. Inside this category, HMMT Feb 2023 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 73.7. Inside this category, SimpleQA 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 85. 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 84. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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