Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4.1 mini finishes one point ahead overall, 35 to 34. 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.
GPT-4.1 mini's sharpest advantage is in knowledge, where it averages 75.9 against 28.2. The single biggest benchmark swing on the page is MMLU, 87.5 to 31. GPT-OSS 20B does hit back in mathematics, 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 128K for GPT-OSS 20B.
Pick GPT-4.1 mini if you want the stronger benchmark profile. GPT-OSS 20B only becomes the better choice if mathematics is the priority.
GPT-4.1 mini
75.9
GPT-OSS 20B
28.2
GPT-4.1 mini
23.6
GPT-OSS 20B
16
GPT-4.1 mini
23.1
GPT-OSS 20B
33.6
GPT-4.1 mini
88.5
GPT-OSS 20B
67
GPT-4.1 mini is ahead overall, 35 to 34. The biggest single separator in this matchup is MMLU, where the scores are 87.5 and 31.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 28.2. 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 16. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-OSS 20B has the edge for math in this comparison, averaging 33.6 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 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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