Cut LLM API Bills 60% in 2026: OpenAI, Anthropic, Bedrock Playbook
A practical playbook for cutting OpenAI, Anthropic, and Bedrock spend by 50-70% using prompt caching, batch APIs, model routing, and output token control, with working code examples.
A practical playbook for cutting OpenAI, Anthropic, and Bedrock spend by 50-70% using prompt caching, batch APIs, model routing, and output token control, with working code examples.
Inference now drives 55% of AI cloud spend — and it keeps growing. This guide walks through practical strategies to cut GPU costs by 70-85%, from spot instances and quantization to MIG partitioning and semantic caching across AWS, Azure, and GCP.