How much can prompt caching save?
It scales with your repeat rate. This estimator applies a conservative discount to repeated, safe-to-cache requests so the projection holds up in production.
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Cache Savings Estimator
Estimate safe savings from repeated request hashes.
Estimate safe savings from repeated request hashes. Paste a request summary and see exact, structured, and semantic repeat rates plus the conservative dollar savings caching could capture — without over-promising on risky hits.
- Measure exact and structured repeat rates from request hashes
- Estimate conservative, safety-adjusted cache savings
- Identify rows that should not be cached
Cache Savings
Vstupy se zpracovavaji v tomto prohlizeci; nevkladejte skutecne API klice.
Diagnosticka zprava
- rowCount
- 2
- exactRepeatRate
- 0.5
- structuredRepeatRate
- 1
- semanticRepeatRate
- 0.3
- safeSavings
- 0.000483
- notRecommendedCount
- 0
FAQ
Cache Savings Estimator FAQ
What data do I need?
A request summary with model, prompt hash, and token counts. Prompt hashes let the tool detect repeats without seeing prompt content.
Why is the estimate conservative?
Not every repeat is safe to serve from cache. The estimator discounts savings to account for freshness and semantic risk.
Související nástroje
Dál optimalizujte náklady
Další krok
Použijte report pro další integrační rozhodnutí.
Zkopírujte base URL, porovnejte detaily modelů nebo vytvořte klíč, až budete připraveni na skutečný test kompatibility.