Kimi K2.5 vs Laguna M.1

Pick Kimi K2.5 if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.

Kimi K2.5 is clearly ahead on the provisional aggregate, 64 to 46. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Kimi K2.5's sharpest advantage is in agentic, where it averages 54.6 against 40.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 40.7%.

Kimi K2.5 is also the more expensive model on tokens at $0.60 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Laguna M.1. That is roughly Infinityx on output cost alone. Laguna M.1 is the reasoning model in the pair, while Kimi K2.5 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. Kimi K2.5 gives you the larger context window at 256K, compared with 131K for Laguna M.1.