Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini has the cleaner overall profile here, landing at 43 versus 40. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-4o mini's sharpest advantage is in coding, where it averages 87.2 against 22. The single biggest benchmark swing on the page is HumanEval, 87.2 to 33.
Pick GPT-4o mini if you want the stronger benchmark profile. Nova Pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-4o mini
82
Nova Pro
35.3
GPT-4o mini
87.2
Nova Pro
22
GPT-4o mini
87
Nova Pro
61
GPT-4o mini is ahead overall, 43 to 40. The biggest single separator in this matchup is HumanEval, where the scores are 87.2 and 33.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 35.3. 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 22. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for multilingual tasks in this comparison, averaging 87 versus 61. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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