Kimi K3 implements Kimi Delta Attention (KDA), Attention Residuals (AttnRes), and a Stable LatentMoE framework, fundamentally re-architecting its computational paradigm. These structural changes provide an approximate 2.5x improvement in overall scaling efficiency compared to Kimi K2. The model's linear attention mechanism slashes KV-cache usage by up to 75% for its 1-million-token context window.