Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Llama 4 Behemoth finishes one point ahead overall, 44 to 43. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Llama 4 Behemoth's sharpest advantage is in mathematics, where it averages 48.6 against 26.4. The single biggest benchmark swing on the page is MMLU, 48 to 90.2. 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 32K for Llama 4 Behemoth.
Pick Llama 4 Behemoth 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 4 Behemoth
40
GPT-4.1
78.3
Llama 4 Behemoth
22.7
GPT-4.1
54.6
Llama 4 Behemoth
48.6
GPT-4.1
26.4
Llama 4 Behemoth
68
GPT-4.1
87.4
Llama 4 Behemoth is ahead overall, 44 to 43. The biggest single separator in this matchup is MMLU, where the scores are 48 and 90.2.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 40. 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 22.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Llama 4 Behemoth has the edge for math in this comparison, averaging 48.6 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 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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