Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5.4 Pro is clearly ahead on the aggregate, 94 to 64. 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 49. The single biggest benchmark swing on the page is LiveCodeBench, 86 to 38.
GPT-5.4 Pro is the reasoning model in the pair, while Mistral Large 2 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 Mistral Large 2.
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Mistral Large 2 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 Pro
88.8
Mistral Large 2
58.7
GPT-5.4 Pro
89
Mistral Large 2
49
GPT-5.4 Pro
98
Mistral Large 2
68.9
GPT-5.4 Pro
96.7
Mistral Large 2
70.7
GPT-5.4 Pro
97
Mistral Large 2
83
GPT-5.4 Pro
97
Mistral Large 2
81
GPT-5.4 Pro is ahead overall, 94 to 64. The biggest single separator in this matchup is LiveCodeBench, where the scores are 86 and 38.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 88.8 versus 58.7. 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 49. 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 68.9. 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 70.7. 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 83. 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 81. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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