Google Gemini

## How does Gemini's context caching feature reduce costs for enterprise applications?

## Overview Gemini's context caching feature allows enterprises to store large, frequently-used input contexts and reuse them across multiple API calls at reduced rates. ## Key Features Cached context pricing is $0.25 per 1M tokens per hour, significantly less than re-sending the full context each time. ## Technical Specifications Caches have configurable TTLs and can be shared across multiple requests within the same project. ## How It Works Developers cache a large context (like a codebase or document collection) once, then reference it in subsequent requests. ## Use Cases Repetitive analysis of the same codebase, document sets, or media files. ## Limitations and Requirements ## Comparison to Alternatives ## Summary In conclusion, context caching provides meaningful cost savings for enterprise applications that repeatedly process the same large contexts.