The open-weight versus closed AI model gap
- Nvidia CEO Jensen Huang on September 16 disputed the cost argument in Mozilla's finding that open-weight models trail closed frontier models by 4.4 months, saying self-hosting makes closed models cheaper for most users and that open models' main value is control.
- The Institute of Foundation Models released K2 Horizon, six models from 0.9B to 375B parameters with training code, data recipes, and production infrastructure, and US lawmakers probed DoorDash, Airbnb, Cursor, and Apple over their use of Chinese AI models, which have led the open-weight field since roughly 2024.
The narrowing gap means organizations can access near-frontier AI performance at substantially lower cost using open models. The choice between open and closed models involves contested tradeoffs around cost, control, and workload type that organizations are actively navigating.