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How to cut your Gemini API costs

Gemini pricing is aggressive at the Flash tier, and its huge context windows tempt teams into expensive context stuffing. The levers:

The playbook, in order of leverage

  1. Model routing & cascades — Flash and Flash-Lite handle most non-reasoning tasks at some of the lowest per-token prices on the market; reserve Pro for hard reasoning.
  2. Context hygiene & token management — A 1M-token window is not a license to fill it — retrieval + reranking beats context stuffing on both cost and accuracy.
  3. Prompt caching — Context caching bills cached tokens at a steep discount for repeated large contexts (docs, codebases, videos).
  4. Batch APIs — Batch mode is 50% off for async jobs.
  5. Fix the context & data layer (agent memory) — If you keep re-uploading the same corpus per session, a persistent memory layer replaces the re-ingestion loop entirely.

Pro tip

Giant-context convenience is the Gemini-specific overspend trap — measure tokens per task, not just price per token.

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