Google Gemini

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.