Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Llama 4 Behemoth is clearly ahead on the aggregate, 44 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 4 Behemoth's sharpest advantage is in mathematics, where it averages 48.6 against 23.1. The single biggest benchmark swing on the page is MMLU, 48 to 87.5. 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 32K for Llama 4 Behemoth.
Pick Llama 4 Behemoth 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 4 Behemoth
40
GPT-4.1 mini
75.9
Llama 4 Behemoth
22.7
GPT-4.1 mini
23.6
Llama 4 Behemoth
48.6
GPT-4.1 mini
23.1
Llama 4 Behemoth
68
GPT-4.1 mini
88.5
Llama 4 Behemoth is ahead overall, 44 to 35. The biggest single separator in this matchup is MMLU, where the scores are 48 and 87.5.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 40. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for coding in this comparison, averaging 23.6 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 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 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.