Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Phi-4 is clearly ahead on the aggregate, 39 to 23. 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 knowledge, where it averages 70.5 against 65.2. The single biggest benchmark swing on the page is GPQA, 56.1 to 50.3.
GPT-4.1 nano is also the more expensive model on tokens at $0.10 input / $0.40 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 nano 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 nano only becomes the better choice if you need the larger 1M context window.
Phi-4
70.5
GPT-4.1 nano
65.2
Phi-4 is ahead overall, 39 to 23. The biggest single separator in this matchup is GPQA, where the scores are 56.1 and 50.3.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 70.5 versus 65.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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