Practical strategies to reduce Claude API token consumption without sacrificing output quality. Includes prompt engineering techniques, caching strategies, and model selection optimization.

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A systematic guide to reducing Claude API costs by 60% or more through three main strategies: prompt engineering (trimming system prompts, constraining output format, using assistant prefill), caching (exact-match Redis caching and Anthropic's native prompt caching), and intelligent model routing (directing simple tasks to Haiku instead of Sonnet/Opus). Includes working Python and JavaScript code examples, a 12-item optimization checklist, and a concrete before/after cost breakdown for a 50,000 requests/day workload going from $12,600 to ~$5,040/month.

Claude API Token Optimization

Token Savings Calculator and Optimization Checklist

Putting It All Together: Real-World Savings Breakdown