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

Towards Data Science1 min read

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 vs. RAG: Cost, Latency and Answer Quality appeared first on Towards Data Science.

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