DeepCybo's PhysBrain 1.5 Tops Open-Source Physical AI Rankings with 72.5 Score

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Chinese AI firm DeepCybo released PhysBrain 1.5 on September 9, 2026, a physical foundation model designed to bridge the gap between language AI and real-world robotic action. The model achieved an average score of 72.5 across 28 public benchmarks, claiming the top spot among open-source physical AI models and trailing leading closed-source competitors by just under one point. PhysBrain 1.5 is built on a closed-loop architecture called Physical Loop, which enables robots to observe, reason, act, and self-correct based on environmental feedback. DeepCybo trained the model using Ego360, a proprietary human-interaction dataset derived from panoramic video capturing full-body movement and task-level voice data, rather than internet text. Both the 2B and 8B variants are released under an Apache 2.0 open-source license and attracted over 3,000 Hugging Face downloads within three days of launch.

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