Manually labeling answers maybe? There exist a lot of infrastructure built around and as it's heavily used for 2 decades and it's relatively cheap.

That's still benchmarking of course, but not utilizing any of the well known / public ones.

Internal evals, Big AI certainly has good, proprietary training and eval data, it's one reason why their models are better

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