AI Agent Token Costs: How to Cut Your Bill by 60-80%
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AI coding agents consume tokens at 5-30x the rate most developers expect, with 60-80% of that spend being waste. The five main waste vectors are file reading loops, retry loop tax, over-qualified model selection, missing prompt caching, and context contamination in long sessions. Practical fixes include routing tasks to cheaper models (Haiku/Sonnet vs Opus), implementing Anthropic's 90% prompt caching discount, using RAG instead of full context stuffing, keeping sessions short and focused, and scoping instruction files. Realistic post-optimization budgets range from $80-150/month for solo developers to $500-1500/month for small teams with production pipelines. The /cost command in Claude Code and basic API logging are recommended for visibility into spending patterns.
Table of contents
The Gap Between What You Think It Costs and What It CostsThe Five Biggest Waste VectorsThe Mental Model ProblemThe Optimization PlaybookWhat a Realistic Budget Looks LikeTools That Show You Where the Money GoesWhen Agents Are Actually Worth ItThe Short VersionSort: