• open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
• mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.

It places a new frontier-scale model on the cost/capability frontier against the open-weights leader, which is the comparison an engineer makes when choosing a model to build on.

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