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

This story is from 2026-08-19. It is preserved in the archive; the latest stories are on the live feed.

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 o…

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  1. 2026-08-19 16:30 · Towards Data Science
    Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality

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