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Well there was this one [0] which is a black box but hasn't really been kept up to date with newer releases. Arguably we'd need lots of these since each one could be biased towards some use case or sell its test set to someone with more VC money than sense.

[0] https://oobabooga.github.io/benchmark.html

by nabakin2 hours ago|

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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...