OpenAI Caching Discounts
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AI Tool
Optimize Your API Experience with OpenAI Prompt Caching
Reduce costs and enhance performance with reusable responses.
Enjoy up to 75% discount on input token costs with prompt reuse.Extended cache duration of up to 24 hours for improved efficiency.No-code optimization ensures seamless integration and reduced latency.
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Pricing & LicensingDiscounts & CreditsCaching Discounts
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overview
What is OpenAI Prompt Caching?
OpenAI Prompt Caching enables developers to store and reuse responses from the API for up to 24 hours, significantly lowering costs associated with repeated prompts. This feature is designed to enhance performance while delivering high-quality outputs.
- Automatic caching for selected models.
- Up to 90% cost savings in certain scenarios.
- Ideal for production applications with repetitive queries.
features
Key Features of Prompt Caching
OpenAI Prompt Caching automatically optimizes your API usage, providing substantial benefits without the need for manual adjustments. This empowers developers to focus on building rather than managing costs.
- Enhanced cache duration for newer models.
- Significant reductions in latency—up to 80%.
- Improved efficiency for multi-turn conversation applications.
use_cases
Who Can Benefit from Prompt Caching?
Prompt Caching is particularly beneficial for developers managing production applications that rely on static or repeated prompts. Whether you’re building chatbots, coding assistants, or customer service agents, this tool streamlines performance and costs.
- Supports repeated interactions and static content.
- Designed for developers scaling their applications.
- Ideal for improving response times in user interactions.
Frequently Asked Questions
How does Prompt Caching help reduce costs?
Prompt Caching allows you to reuse prompt responses, which can lower input token costs by up to 75%, offering substantial savings as you scale your application.
Is Prompt Caching enabled by default?
Yes, Prompt Caching is automatically enabled for recent models such as GPT-4o and GPT-5.1, requiring no changes to your API usage.
What strategies can I use for the best caching results?
To maximize the benefits, place static content at the start of prompts, use the prompt_cache_key for grouping similar requests, and monitor hit rates to optimize your prompts effectively.