A German-language paywalled article examines what determines the price of running different AI tasks on language models. It breaks down the cost factors behind model usage and points to places where users can cut spending most effectively.
The latest Ramp AI Index shows that the heaviest AI-spending US companies reduced their AI costs per employee by almost 10% in August. This drop coincides with a 41% decline in price per million tokens since March 2026, as businesses move workloads from costly frontier models to cheaper alternatives. The shift suggests enterprises are increasingly optimizing for cost rather than defaulting to the most powerful models.