The lead
Moonshot's Kimi K3 puts an open-weight model at the frontier
In blind Arena testing, developers preferred K3 over Fable 5 and GPT-5.6 Sol for front-end coding, and it set a state of the art on BrowseComp at 91.2. Full weights land on 27 July, which is the date the cost of frontier-grade output collapses for anyone willing to self-host.
Kimi K3 is a 2.8 trillion parameter open-weight model with a 1M token context window. Artificial Analysis scores it 57 on its Intelligence Index, above Claude Opus 4.8 at roughly 56 and GPT-5.6 Terra at 55, and level with Gemini 3.1 Pro.
KRALYSDiarise 27 July: when the weights drop, benchmark K3 against current API spend on the Kralys AI receptionist. A frontier open model is the first credible route to fixed-cost inference instead of per-token billing.