Atria Dawn Preview

Shanghai AI Laboratory's first ATRIA-line model, released weights-first on 2026-09-11: the checkpoint and code appeared on GitHub / Hugging Face with no announcement, and a 140-author technical report followed roughly three days later, inverting the usual paper-first convention. Atria Dawn Preview is a 744-billion-parameter agentic Mixture-of-Experts model built on GLM-5.2, designed for long-horizon research agents — carrying scientific work from a method described in the literature through to executable experiments, reproducible metrics, and a report others can inspect. It ships with a 256K-token context under an MIT license with open weights, so it can be self-hosted (documentation and evaluations are published at atria-asi.ai; the checkpoint is on Hugging Face as atria-asi/atria-dawn-preview). On the lab's own table of 16 benchmarks it reports the highest listed score on five tasks, including AutomationBench 53.8, BrowseComp 92.5, DeepSearchQA 96.0, BFCL v4 77.0 and CyberGym 86.5. All figures are vendor / self-reported and were not independently verified at launch.