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Prompt Caching Explained: Why Prefixes Matter

Created by Abhyuday DesaiPublished , v1 of 2Runs 6 min 5 sec
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About this video

A visual explainer of prompt caching for teams building on language models. Covers why identical content can cost 10x more depending on token order, how the KV cache stores a prompt's stable prefix instead of recomputing it, the prefix tree that Anthropic, OpenAI, and Gemini use to serve cache hits, what happens on eviction, and the design pattern of putting stable content first for lower cost and faster time to first token.

What changed

  1. v202 Oct 2026abhydesai5 min 57 sec

    Re-rendered in the studio with chapters and a transcript.

    v1 has no transcript to compare. 8 sec shorter.

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  2. v124 Jun 2026abhydesai6 min 5 sec

    First published cut.

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