Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Llama 4 Maverick is clearly ahead on the aggregate, 42 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 4 Maverick's sharpest advantage is in mathematics, where it averages 46.8 against 9.8. The single biggest benchmark swing on the page is AIME 2024, 48 to 9.8. GPT-4.1 nano does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 nano is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Maverick. That is roughly Infinityx on output cost alone.
Pick Llama 4 Maverick if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority.
Llama 4 Maverick
38.7
GPT-4.1 nano
65.2
Llama 4 Maverick
46.8
GPT-4.1 nano
9.8
Llama 4 Maverick
68
GPT-4.1 nano
83.2
Llama 4 Maverick is ahead overall, 42 to 23. The biggest single separator in this matchup is AIME 2024, where the scores are 48 and 9.8.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 65.2 versus 38.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Llama 4 Maverick has the edge for math in this comparison, averaging 46.8 versus 9.8. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 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.