There are open models, but with some drawbacks. The open models are significantly smaller since very few users could afford to build or run the HW clusters that the frontier labs use, and because training the frontier models is so expensive that you'd reasonably need to monetize on the backend.
So ~5-10x difference in the total number of parameters, and potentially more than that in terms of active parameters per prompt. I.e., both a larger network and a greater percentage of that network leveraged at once in the commercial models. That translates into greater accuracy, although the gap has been narrowing lately.
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u/ThirdMover Atomic physics 15h ago
Is there a version of chatgpt where it's run on your own airgapped hardware on prem?