Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Phi-4 is clearly ahead on the aggregate, 39 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Phi-4's sharpest advantage is in coding, where it averages 82.6 against 23.6. The single biggest benchmark swing on the page is GPQA, 56.1 to 64.2. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini is also the more expensive model on tokens at $0.40 input / $1.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Phi-4. That is roughly Infinityx on output cost alone. GPT-4.1 mini gives you the larger context window at 1M, compared with 16K for Phi-4.
Pick Phi-4 if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Phi-4
70.5
GPT-4.1 mini
75.9
Phi-4
82.6
GPT-4.1 mini
23.6
Phi-4 is ahead overall, 39 to 35. The biggest single separator in this matchup is GPQA, where the scores are 56.1 and 64.2.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 70.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Phi-4 has the edge for coding in this comparison, averaging 82.6 versus 23.6. GPT-4.1 mini stays close enough that the answer can still flip depending on your workload.
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