Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Llama 3.1 405B is clearly ahead on the aggregate, 65 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Pick Llama 3.1 405B if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if coding is the priority.
Llama 3.1 405B
58.7
GPT-4o mini
82
Llama 3.1 405B
48.3
GPT-4o mini
87.2
Llama 3.1 405B
84
GPT-4o mini
87
Llama 3.1 405B is ahead overall, 65 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 62 and 87.2.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 58.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 87.2 versus 48.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for multilingual tasks in this comparison, averaging 87 versus 84. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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