Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4.1 is clearly ahead on the aggregate, 43 to 37. 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 knowledge, where it averages 78.3 against 31.3. The single biggest benchmark swing on the page is MMLU, 90.2 to 36. MiniMax M1 80k does hit back in mathematics, 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 80K for MiniMax M1 80k.
Pick GPT-4.1 if you want the stronger benchmark profile. MiniMax M1 80k only becomes the better choice if mathematics is the priority.
GPT-4.1
78.3
MiniMax M1 80k
31.3
GPT-4.1
54.6
MiniMax M1 80k
18
GPT-4.1
26.4
MiniMax M1 80k
37.8
GPT-4.1
87.4
MiniMax M1 80k
68
GPT-4.1 is ahead overall, 43 to 37. The biggest single separator in this matchup is MMLU, where the scores are 90.2 and 36.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 31.3. 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 18. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
MiniMax M1 80k has the edge for math in this comparison, averaging 37.8 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 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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