Prompt Caching Explained

Prompt caching stores a language model's internal state for unchanging prompt prefixes, allowing subsequent requests to skip reprocessing those tokens and achieve up to 80% latency reduction and 90% input cost savings. This technique requires exact prefix matching and works best when prompts are structured with static content first and dynamic user inputs last, though implementation varies across providers like OpenAI, Claude, and Gemini.