Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5 (medium) is clearly ahead on the aggregate, 82 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 (medium)'s sharpest advantage is in multilingual, where it averages 90 against 87. The single biggest benchmark swing on the page is MMLU, 91 to 82. GPT-4o mini does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5 (medium) is the reasoning model in the pair, while GPT-4o mini 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.
Pick GPT-5 (medium) if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5 (medium)
76.7
GPT-4o mini
82
GPT-5 (medium)
70
GPT-4o mini
87.2
GPT-5 (medium)
90
GPT-4o mini
87
GPT-5 (medium) is ahead overall, 82 to 43. The biggest single separator in this matchup is MMLU, where the scores are 91 and 82.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 76.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 87.2 versus 70. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for multilingual tasks in this comparison, averaging 90 versus 87. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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