Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Sibling matchup inside the GPT-4.1 family.
GPT-4.1 and GPT-4.1 mini sit in the same GPT-4.1 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
GPT-4.1 is clearly ahead on the aggregate, 43 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1's sharpest advantage is in coding, where it averages 54.6 against 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 54.6 to 23.6. GPT-4.1 mini does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 5.0x on output cost alone.
GPT-4.1 makes more sense if coding is the priority, while GPT-4.1 mini is the cleaner fit if instruction following is the priority or you want the cheaper token bill.
GPT-4.1
78.3
GPT-4.1 mini
75.9
GPT-4.1
54.6
GPT-4.1 mini
23.6
GPT-4.1
26.4
GPT-4.1 mini
23.1
GPT-4.1
87.4
GPT-4.1 mini
88.5
GPT-4.1 and GPT-4.1 mini are sibling variants in the GPT-4.1 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. GPT-4.1 is ahead overall 43 to 35.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 75.9. 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 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for math in this comparison, averaging 26.4 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 87.4. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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