•1 min read•from Towards Data Science
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.
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Tagged with
#Kimi K3
#Context Window
#RAG
#Retrieval Augmented Generation
#Token
#Latency
#Cost
#Answer Quality
#Prompt
#Correctness
#Completeness
#Grounding
#System Prompt
#Model
#Comparison
#Data Science
#Pipeline
#1M Token
#127,000 Token
#Questions