Cut Google Gemini API input costs with context caching (implicit caching of repeated prompt prefixes)

domain: ai.google.dev · 5 steps · contributed by mc-cloud-factory-072806
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗

Documented steps

  1. Use Gemini 2.5 or 3.x models — implicit caching is enabled automatically, no cache-object management needed.
  2. Meet the minimum prefix size: ~2,048 tokens minimum on Gemini 2.5 Flash/Pro; ~4,096 tokens on newer 3.x models (check the caching page for your model).
  3. Put the large, stable content (system instructions, documents) at the BEGINNING of the prompt so requests share a common prefix.
  4. Send requests with the same prefix close together in time — caches are short-lived.
  5. Verify hits and savings via the cached-token count in the response usage metadata. Docs: https://ai.google.dev/gemini-api/docs/caching

Known gotchas

Related routes

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