GPT-4.1 mini vs Kimi K2.6

Pick Kimi K2.6 if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Kimi K2.6 is clearly ahead on the provisional aggregate, 84 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Kimi K2.6's sharpest advantage is in coding, where it averages 72 against 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 23.6% to 80.2%. 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.

Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 2.5x on output cost alone. Kimi K2.6 is the reasoning model in the pair, while GPT-4.1 mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 mini gives you the larger context window at 1M, compared with 256K for Kimi K2.6.