Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Llama 4 Behemoth is clearly ahead on the aggregate, 44 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 4 Behemoth gives you the larger context window at 32K, compared with 16K for Phi-4.
Pick Llama 4 Behemoth if you want the stronger benchmark profile. Phi-4 only becomes the better choice if coding is the priority.
Llama 4 Behemoth
40
Phi-4
70.5
Llama 4 Behemoth
22.7
Phi-4
82.6
Llama 4 Behemoth
66
Phi-4
80.6
Llama 4 Behemoth is ahead overall, 44 to 39. The biggest single separator in this matchup is HumanEval, where the scores are 40 and 82.6.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 70.5 versus 40. 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 22.7. 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 66. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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