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Anthropic's Claude Opus 5 adds prompt caching to cut costs by 90%

By PulseAugur Editorial · [1 sources] ·

Anthropic has introduced a prompt caching feature for its Claude Opus 5 model, designed to significantly reduce costs and improve response times for repeated conversational inputs. By adding a simple `cache_control` parameter to API requests, developers can enable the model to store and reuse previous prompt segments. This feature can lead to substantial savings, with costs dropping by approximately 90% for cached tokens after an initial one-time creation fee, making it particularly beneficial for applications involving long or repetitive conversational histories. AI

IMPACT Reduces operational costs and improves latency for AI applications by intelligently reusing conversational context.

RANK_REASON The item describes a new feature for an existing model that impacts cost and performance for developers.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Anthropic's Claude Opus 5 adds prompt caching to cut costs by 90%

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The item describes a new feature for an existing model that impacts cost and performance for developers.
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22 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Mukul S ·

    Stop Paying for the Same Tokens Twice: A Practical Guide to Prompt Caching

    <p>You've built a chatbot. Every turn, you re-send the whole conversation — the 8,000-token system prompt, the uploaded PDF, the 15 messages of history — just so the model can answer "and what about Mars?"<br /> The model re-reads all of it. Every. Single. Time. You pay full pric…

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