I Ran 163 Benchmarks Across 10 LLMs So You Don't Have To. Here's What I Found

This article highlights the common practice of teams overpaying for LLM inference due to a lack of proper benchmarking, often picking models based on popularity rather than cost-efficiency. The author, using a tool called CostGuard, ran 163 benchmarks across 15 models, uncovering surprising price differences of up to 200x between models like Gemini 2.5 Flash and GPT-5.