Kimi K3 puts 2.8 trillion parameters and a million-token window into open weights, but activates only 104bn at a time, making the frontier portable before it is cheap

Moonshot AI released Kimi K3 as an open-weight 2.8tn-parameter model with 104bn parameters active per token. The system selects 16 of 896 experts, supports a one-million-token context and claims 2.5 times K2's scaling efficiency. Its published results include 88.3 on Terminal-Bench 2.1 and 94.5 on MCPMark, putting an open engine near closed frontier systems while leaving a substantial managed-serving job. The edition connects K3 to Satya Nadella's model-portability warning, Microsoft's JavaScript and TypeScript work on Windows, Nvidia's Open Secure AI Alliance, multi-model vulnerability scanning, a $1bn Verizon fiber deal and RTX 50 price increases of up to 59%.