I know Arc AGI 2 has a private test set and they have a good amount of results[0] but it's not a conventional benchmark.

Looking around, SWE Rebench seems to have decent protection against training data leaks[1]. Kagi has one that is fully private[2]. One on HuggingFace that claims to be fully private[3]. SimpleBench[4]. HLE has a private test set apparently[5]. LiveBench[6]. Scale has some private benchmarks but not a lot of models tested[7]. vals.ai[8]. FrontierMath[9]. Terminal Bench Pro[10]. AA-Omniscience[11].

So I guess we do have some decent private benchmarks out there.

[0] https://arcprize.org/leaderboard

[1] https://swe-rebench.com/about

[2] https://help.kagi.com/kagi/ai/llm-benchmark.html

[3] https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard

[4] https://simple-bench.com/

[5] https://agi.safe.ai/

[6] https://livebench.ai/

[7] https://labs.scale.com/leaderboard

[8] https://www.vals.ai/about

[9] https://epoch.ai/frontiermath/

[10] https://github.com/alibaba/terminal-bench-pro

[11] https://artificialanalysis.ai/articles/aa-omniscience-knowle...