AI summarized from verified sources
OpenAI documents Prompt Caching to cut latency and cost
For repeated prompts, you can speed up responses and lower costs.
SOURCE CHECK
1 sources
Sources
Key Points
- 1Cache works on exact prompt-prefix matches
- 2Put static text first, variable inputs last
- 3Benefits grow with longer, repeated prompts
OpenAI’s Prompt Caching guide explains how reusing identical prompt prefixes can reduce latency and input costs for long prompts. It recommends placing static instructions/examples first and variable user content last to maximize cache hits.
Key point
OpenAI’s Prompt Caching guide explains how reusing identical prompt prefixes can reduce latency and input costs for long prompts. It recommends placing static instructions/examples first and variable user content last to maximize cache hits.
Impact
For repeated prompts, you can speed up responses and lower costs. Key checks: Cache works on exact prompt-prefix matches / Put static text first, variable inputs last / Benefits grow with longer, repeated prompts.