Optimising LLM Costs in Production: Practical Strategies for API Usage and Model Selection

Deploying Large Language Models (LLMs) in production offers significant business value, but managing their operational costs, particularly API usage, is crucial for profitability. This article outlines practical strategies for UK businesses to reduce LLM expenses without sacrificing performance. Key areas include intelligent prompt engineering, effective caching, strategic model selection, and robust monitoring. We discuss how to choose the right model for specific tasks, leverage smaller or fine-tuned models, and implement governance to track and control spending. By adopting these methods, organisations can ensure their AI initiatives remain efficient and cost-effective.