Unlike closed models (ChatGPT, Claude) that only hand back answers, an open-weight model publishes the trained weight file itself. Users can download it, run it on their own servers, and fine-tune it freely. If cheap open-weight models reach frontier performance, they threaten the high subscription pricing of closed models and the capex case for GPUs, which is why investors watch them.