Kimi K2 Technical Report Officially Released: Trillion Parameter Intelligence Body Secrets Explained

Kimi K2 adopts 1 trillion+ parameter sparse MoE architecture with 384 experts, and has three core technological breakthroughs: MuonClip optimizer, Agentic data synthesis pipeline, and RLVR+self-assessment Rubric reward; MuonClip optimizer ensures training stability through QK-Clip weights cropping, and achieves 15.5 trillion tokens training with zero loss jitter; data reiteration strategy to amplify the value of high-quality data; three-step intelligencic data pipeline constructed with 20,000+ synthesis tools, combined with reinforcement learning framework of verifiable rewards and self-assessment rewards to advance the model from passive dialog to Agent level of active planning-execution-self-correcting errors.