2.8 trillion parameters. 1 million token context. Native multimodal. Kimi Delta Attention delivers up to 6.3x faster decoding at million-token context, cutting KV-cache memory by up to 75% along the way. Attention Residuals deliver roughly 25% higher training efficiency at under 2% additional compute cost. Built for long-horizon agentic coding and self-evolving workflows, sustaining long engineering sessions with minimal human oversight.
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