Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini is clearly ahead on the aggregate, 43 to 31. 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 71.2.
GPT-4o mini is also the more expensive model on tokens at $0.15 input / $0.60 output per 1M tokens, versus $0.05 input / $0.40 output per 1M tokens for GPT-5 nano. GPT-5 nano 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. GPT-5 nano gives you the larger context window at 400K, compared with 128K for GPT-4o mini.
Pick GPT-4o mini if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if you want the cheaper token bill or you need the larger 400K context window.
GPT-4o mini
82
GPT-5 nano
71.2
GPT-4o mini is ahead overall, 43 to 31.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 71.2. GPT-5 nano stays close enough that the answer can still flip depending on your workload.
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