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 20. The single biggest benchmark swing on the page is HumanEval, 82.6 to 29.
GLM-4.5 gives you the larger context window at 128K, compared with 16K for Phi-4.
Pick Phi-4 if you want the stronger benchmark profile. GLM-4.5 only becomes the better choice if you need the larger 128K context window.
Phi-4
70.5
GLM-4.5
32.2
Phi-4
82.6
GLM-4.5
20
Phi-4
80.6
GLM-4.5
60
Phi-4 is ahead overall, 39 to 38. The biggest single separator in this matchup is HumanEval, where the scores are 82.6 and 29.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 70.5 versus 32.2. 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 20. 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 60. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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