AI Tokenomics: Balancing Open-Weight and Frontier Models for Optimal ROI
Red Hat, Wednesday, October 14th, 2026
Red Hat argues enterprises should mix open-weight and frontier models to match cost to each AI use case.
Using an airline cabin analogy, Red Hat argues that most enterprises run every AI request at the same first-class price per token.
A simple task such as checking an account balance and a complex multi-agent fraud investigation should not cost the same.
The post makes the case for balancing open-weight and frontier models according to use case to improve AI return on investment.