AI & Machine Learning

How to Reduce Claude Tokens (and Actually Get More Out of Claude Code)

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Usage of large language models like Claude can be significantly reduced by understanding that 100% session limit does not equate to a fixed token count. Factors such as model choice (e.g., Opus vs. Sonnet), conversation history, and cached context dramatically impact token consumption and cost. By starting fresh conversations more often and being judicious with context, users can effectively manage their token usage and costs.

Read the full article at Towards AI - Medium

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