Smart model choices can significantly reduce the costs of using large language models (LLMs) in API calls without compromising response quality. By dynamically selecting between models like GPT-4o and the cheaper GPT-4o-mini based on the complexity of the query, businesses can cut expenses by up to 75%. This approach involves
Table of contents
How Smart Model Choices Can Slash API Costs by 75%IntroductionThe Problem: LLM Costs and Overuse of Expensive ModelsThe Solution: Dynamic Model SelectionThe Experiment: Testing Dynamic Model Selection in a RAG ApplicationCode ImplementationThe Impact: Lower Costs, Same QualityThe Future: Scaling the Approach for BusinessesConclusionSort: