Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeekMath V2 is clearly ahead on the aggregate, 71 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeekMath V2's sharpest advantage is in multilingual, where it averages 87 against 80.6. The single biggest benchmark swing on the page is GPQA, 79 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.
DeepSeekMath V2 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. DeepSeekMath V2 gives you the larger context window at 128K, compared with 16K for Phi-4.
Pick DeepSeekMath V2 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.
DeepSeekMath V2
67.2
Phi-4
70.5
DeepSeekMath V2
53.7
Phi-4
82.6
DeepSeekMath V2
87
Phi-4
80.6
DeepSeekMath V2 is ahead overall, 71 to 39. The biggest single separator in this matchup is GPQA, where the scores are 79 and 56.1.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 70.5 versus 67.2. 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 53.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for multilingual tasks in this comparison, averaging 87 versus 80.6. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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