Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4.1 mini and Kimi K2 finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for Kimi K2.
Treat this as a split decision. GPT-4.1 mini makes more sense if knowledge is the priority or you need the larger 1M context window; Kimi K2 is the better fit if mathematics is the priority.
GPT-4.1 mini
75.9
Kimi K2
28.8
GPT-4.1 mini
23.6
Kimi K2
17
GPT-4.1 mini
23.1
Kimi K2
34.3
GPT-4.1 mini
88.5
Kimi K2
67
GPT-4.1 mini and Kimi K2 are tied on overall score, so the right pick depends on which category matters most for your use case.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 28.8. 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 17. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for math in this comparison, averaging 34.3 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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