costs are in a large part tied to model parameter count, eg. a small model fits on one GPU, the biggest models require an entire rack

the primary difference you see through those prices is model size

that you don't seem much capability difference is why Big Ai is pushing for regulatory capture, because small models are nearly as good for many tasks at a fraction of the cost, undermining the business model they have used to justify the most expensive infra build out in human history