A user observed that their Claude Code sessions incurred higher costs not from large context windows, but from the idle time between requests. By measuring 10,000 requests, the user found that the "cold session" periods, where the model is inactive between prompts, significantly contributed to the overall bill. This suggests that optimizing for session duration and minimizing idle time could be crucial for managing costs when using Claude Code. AI
IMPACT Highlights potential cost-saving strategies for users of large language models like Claude Code by focusing on session management.
RANK_REASON User observation and analysis of a specific product's cost structure.
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