The AI race: China's open-weight models trail US closed models by just 7 months

discuss.tchncs.de

The AI race: China's open-weight models trail US closed models by just 7 months

discuss.tchncs.de

Shatur@discuss.tchncs.de to

LocalLLaMA@sh.itjust.worksEnglish · 17 days ago

Source: whatmodel.sh, an open source AI leaderboard.

Every point comes from published benchmark results: 22,113 of them across 987 benchmarks, from 1,011 sources, each one linked to where it was published.

This chart uses data for the text models: 18,755 results for 1,211 models on 617 benchmarks.

14,436 results are independent evaluations: papers whose authors ran the models themselves (mostly CC BY papers from the ACL Anthology and arXiv), Epoch AI, the LMArena dataset, EvalPlus, the EleutherAI harness and others.
7,677 are scores labs report for their own models, labelled as lab-reported.

Everything is open: the dataset (CC BY-SA 4.0) and the scoring code (MIT) are at https://github.com/jakemanger/whatmodel, with CSV downloads at https://whatmodel.sh/data/manifest.json. Every number links back to its source, and each source’s licence is recorded.

Interactive version (click any model to see its scores and sources): https://whatmodel.sh/race

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