Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Llama 3.1 405B is clearly ahead on the aggregate, 65 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 3.1 405B's sharpest advantage is in mathematics, where it averages 70.6 against 23.1. The single biggest benchmark swing on the page is AIME 2024, 72 to 23.1. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for Llama 3.1 405B.
Pick Llama 3.1 405B if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Llama 3.1 405B
58.7
GPT-4.1 mini
75.9
Llama 3.1 405B
48.3
GPT-4.1 mini
23.6
Llama 3.1 405B
70.6
GPT-4.1 mini
23.1
Llama 3.1 405B
86
GPT-4.1 mini
88.5
Llama 3.1 405B is ahead overall, 65 to 35. The biggest single separator in this matchup is AIME 2024, where the scores are 72 and 23.1.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 58.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for coding in this comparison, averaging 48.3 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for math in this comparison, averaging 70.6 versus 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 86. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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