Four strategies slash LLM API costs by up to 87%

A technical blog post outlines four strategies to significantly reduce Large Language Model (LLM) API costs, potentially cutting bills by up to 87%. The methods include routing simpler tasks to less expensive models like Claude Haiku 4.5 or GPT-5, implementing prompt caching to reduce input token costs, and trimming conversation history sent to the API. Finally, the post introduces corouter, a third-party service that offers access to models like GPT-5.5 and Claude Opus 4.7 at approximately 20% of the official list price, with discounts from caching and other features stacking on top. AI

IMPACT Provides actionable strategies for developers and organizations to significantly reduce operational costs associated with using LLM APIs.

RANK_REASON Blog post detailing cost-saving techniques for using LLM APIs, including a third-party service.

Read on dev.to — LLM tag →

• Anthropic
• application programming interface
• Claude Haiku 4.5
• Claude Opus 4.7
• corouter
• GPT-5
• GPT-5.5
• OpenAI

• infra
• product

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →