Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Llama 3 70B is clearly ahead on the aggregate, 51 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 3 70B gives you the larger context window at 128K, compared with 16K for Phi-4.
Pick Llama 3 70B if you want the stronger benchmark profile. Phi-4 only becomes the better choice if coding is the priority.
Llama 3 70B
47.2
Phi-4
70.5
Llama 3 70B
26
Phi-4
82.6
Llama 3 70B
72
Phi-4
80.6
Llama 3 70B is ahead overall, 51 to 39. The biggest single separator in this matchup is HumanEval, where the scores are 50 and 82.6.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 70.5 versus 47.2. 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 26. 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 72. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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