Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini is clearly ahead on the aggregate, 43 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4o mini's sharpest advantage is in knowledge, where it averages 82 against 65.2. The single biggest benchmark swing on the page is MMLU, 82 to 80.1.
GPT-4o mini is also the more expensive model on tokens at $0.15 input / $0.60 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. GPT-4.1 nano gives you the larger context window at 1M, compared with 128K for GPT-4o mini.
Pick GPT-4o mini if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
GPT-4o mini
82
GPT-4.1 nano
65.2
GPT-4o mini is ahead overall, 43 to 23. The biggest single separator in this matchup is MMLU, where the scores are 82 and 80.1.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 65.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
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