Supercharge Your LLM Apps: New Insights on Prompt Caching for OpenAI, Anthropic, and Gemini
research#llm🏛️ Official|Analyzed: Feb 24, 2026 12:45•
Published: Feb 24, 2026 08:57
•1 min read
•Zenn OpenAIAnalysis
This article offers a deep dive into optimizing LLM performance by comparing prompt caching strategies across OpenAI, Anthropic, and Gemini. It reveals how strategic caching can drastically cut costs and improve speed. The insights shared will revolutionize how developers build and deploy LLM applications.
Key Takeaways
- •The article compares the prompt caching designs of OpenAI, Anthropic, and Gemini, providing insights into their unique approaches.
- •It demonstrates how tailored caching strategies can dramatically reduce API costs and improve application performance.
- •The findings are based on the academic paper "Don't Break the Cache", offering real-world benchmark data.
Reference / Citation
View Original"According to the benchmark of the academic paper "Don't Break the Cache", applying the optimal caching strategy reports a 79.6% reduction in API cost for GPT-5.2."