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Beta

These docs cover RhinoArtisan 7.0, which is still in beta. The contents are provisional: features and pages can still be added, changed or removed before the final release.

AI Models & Services in RhinoArtisan

What Are Frontier Models?

A frontier model is one of the handful of models sitting at the very top of what AI can currently do. Claude, GPT and Gemini for language and reasoning; Nano Banana, Veo, Kling and their peers for images and video.

They are not simply “better versions” of the open models. The gap shows up exactly where it matters for professional work: following a long instruction without drifting, reasoning about a real constraint instead of pattern-matching a similar one, and admitting uncertainty rather than inventing an answer.

Why you cannot download one

This is the part that surprises people, so it is worth being blunt about it.

They are not distributed at all. Not to RhinoArtisan, not to any other software vendor, not to anyone. The weights are the single most valuable asset the lab owns (the result of a training run that costs enormous sums), and they are never published in a runnable form.

They are built for datacenter hardware. Even if you had the files, a frontier model does not fit on a workstation. A single answer is computed across many specialized accelerators with far more memory than any desktop machine has.

Access exists only through an API. The lab runs the model on its own infrastructure and sells requests to it. That is the only product on offer.

So when any software gives you a frontier model, it is not shipping the model. It is passing your request through to somebody else’s, and somebody is paying per request.

Where open models still win

Frontier is not automatically the right answer. Open models run offline, cost nothing per use, and keep every byte on your own machine. For a simple, repetitive task with no confidential input, that can be the better trade. What they cannot do is carry the hard questions, and jewelry work produces plenty of those.