Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Phi-4 finishes one point ahead overall, 39 to 38. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Phi-4's sharpest advantage is in coding, where it averages 82.6 against 18.7. The single biggest benchmark swing on the page is HumanEval, 82.6 to 31.
Qwen3 235B 2507 gives you the larger context window at 128K, compared with 16K for Phi-4.
Pick Phi-4 if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if you need the larger 128K context window.
Phi-4
70.5
Qwen3 235B 2507
33.2
Phi-4
82.6
Qwen3 235B 2507
18.7
Phi-4
80.6
Qwen3 235B 2507
63
Phi-4 is ahead overall, 39 to 38. The biggest single separator in this matchup is HumanEval, where the scores are 82.6 and 31.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 70.5 versus 33.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Phi-4 has the edge for coding in this comparison, averaging 82.6 versus 18.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Phi-4 has the edge for multilingual tasks in this comparison, averaging 80.6 versus 63. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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