Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3 Pro Deep Think is clearly ahead on the aggregate, 85 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro Deep Think's sharpest advantage is in knowledge, where it averages 82.8 against 70.5. The single biggest benchmark swing on the page is GPQA, 97 to 56.1. Phi-4 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Gemini 3 Pro Deep Think 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. Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 16K for Phi-4.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Phi-4 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3 Pro Deep Think
82.8
Phi-4
70.5
Gemini 3 Pro Deep Think
69
Phi-4
82.6
Gemini 3 Pro Deep Think
92
Phi-4
80.6
Gemini 3 Pro Deep Think is ahead overall, 85 to 39. The biggest single separator in this matchup is GPQA, where the scores are 97 and 56.1.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 82.8 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 69. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multilingual tasks in this comparison, averaging 92 versus 80.6. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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