Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Phi-4 is clearly ahead on the aggregate, 39 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 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. o1-pro is the reasoning model in the pair, while Phi-4 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. o1-pro gives you the larger context window at 200K, compared with 16K for Phi-4.
Pick Phi-4 if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
Phi-4
70.5
o1-pro
79
Phi-4 is ahead overall, 39 to 33. The biggest single separator in this matchup is GPQA, where the scores are 56.1 and 79.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 70.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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