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    EZYE OS · AI Cost Optimization

    Anthropic told you how to make Claude cheaper
    without ever touching output quality.

    The four request-level optimizations from Anthropic's own docs that cut your Claude API bill without swapping to a weaker model.

    What's inside

    • Prompt caching that kills repeated context costs
    • The token math behind batching requests
    • Output length controls that beat model swaps
    • Zero quality tradeoff, straight from Anthropic
    EZYE OS · AI Cost Optimization Cheat Sheet

    Cut Your Claude API Bill Without Cutting Quality

    by Divjot Sahni · EZYE Consulting · ezye.com.au

    Why the smaller-model move backfires

    1

    Most developers hit a big bill and immediately downgrade to a cheaper model

    2

    Output quality drops, you re-run prompts, and the cost you 'saved' comes right back

    3

    The real lever was never the model — it's how you structure the request before it reaches Claude

    4

    Anthropic documented all of this, and almost nobody applies it

    Optimization 1 — Prompt Caching

    1

    Identify the static context you send on every single call

    2

    Mark it so Claude caches it instead of re-processing it each time

    3

    Cached input tokens are billed at a fraction of the normal rate

    4

    The savings compound the more repetitive your context is...

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