Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Llama 3 70B is clearly ahead on the aggregate, 51 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 3 70B's sharpest advantage is in mathematics, where it averages 58.8 against 26.4. The single biggest benchmark swing on the page is SWE-bench Verified, 9 to 54.6. GPT-4.1 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 gives you the larger context window at 1M, compared with 128K for Llama 3 70B.
Pick Llama 3 70B if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Llama 3 70B
47.2
GPT-4.1
78.3
Llama 3 70B
26
GPT-4.1
54.6
Llama 3 70B
58.8
GPT-4.1
26.4
Llama 3 70B
77
GPT-4.1
87.4
Llama 3 70B is ahead overall, 51 to 43. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 9 and 54.6.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 47.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 26. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for math in this comparison, averaging 58.8 versus 26.4. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for instruction following in this comparison, averaging 87.4 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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