Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Moonshot v1 is clearly ahead on the aggregate, 51 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Moonshot v1's sharpest advantage is in mathematics, where it averages 54.5 against 23.1. The single biggest benchmark swing on the page is MMLU, 53 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 128K for Moonshot v1.
Pick Moonshot v1 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.
Moonshot v1
45.3
GPT-4.1 mini
75.9
Moonshot v1
33.3
GPT-4.1 mini
23.6
Moonshot v1
54.5
GPT-4.1 mini
23.1
Moonshot v1
77
GPT-4.1 mini
88.5
Moonshot v1 is ahead overall, 51 to 35. The biggest single separator in this matchup is MMLU, where the scores are 53 and 87.5.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 45.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for coding in this comparison, averaging 33.3 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for math in this comparison, averaging 54.5 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 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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