Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality | Towards Data Science
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.
Towards Data Science · Sarah Schürch