Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality

A controlled comparison of a top-5 RAG pipeline and a full 127,000 token prompt on the same 12 questions, same system prompt and same model. Graded blind on correctness, completeness and grounding. The post Kimi K3’s 1M Token Context Window…

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1. Towards Data Science 19 Aug
   Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality ↗