Anthropic published a blog post sharing six money-saving tips for using Claude Code: Clear conversations with /clear after tasks are completed; Determine the model and reasoning intensity at the beginning to avoid invalidating the cache by switching midway; Use @ to reference files instead of typing paths manually; Add silent parameters to commands with extensive outputs to reduce context; Use /compact to compress conversations before breaks; Delegate large output tasks to sub-Agents. The blog also explains the token pricing logic, noting that output tokens are five times more expensive than input tokens, and that caching is key to saving money, with six scenarios to avoid that invalidate the cache. Additionally, it addresses the issue of conversation history bloat and methods to streamline it, emphasizing that managing tokens has become a new essential skill for developers in the AI era.