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SitePoint Team·sitepoint.com·· 3 min read

LLM API costs just got a 60% haircut

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TL;DR

Cutting LLM API costs by 60% is now possible with prompt compression and cache tuning – a must-have for anyone running LLMs at scale.

Google's Gemini, OpenAI, and Anthropic are all in on prompt compression and cache tuning to slash Large Language Model (LLM) API costs. This isn't just a nice-to-have; it's a must-have for anyone running LLMs at scale. Here's why: by compressing prompts and tweaking caches, you can reduce the number of requests made to these expensive APIs.

Key Takeaways

  • •Optimize your LLM prompts with chain-of-thought pruning
  • •Tune cache settings for semantic caching on OpenAI, Anthropic, or Google Gemini
  • •Consider output length constraints to further cut costs
llmapi-costsprompt-compression
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Originally published by SitePoint Team on sitepoint.com. Summarized by ContentBuffer.

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