Deep Principle releases Hydrogen-1.0 open-weight model for science
A specialised open model beating a frontier closed model on a science benchmark strengthens the case for domain-specific post-training over general-purpose scale. Research labs and computational chemistry teams can download and adapt the weights for their own discovery workflows. Its base model, Zhipu's GLM-5.3, also shows Chinese open models being repurposed at the frontier of applied science.
Deep Principle introduced Hydrogen-1.0, its first open-weight model for scientific research, announced on 2026 via X. The model is a post-trained version of GLM-5.3, built on the company's internal scientific data, lab records and discovery trajectories. It scores 38.3% on FrontierScience-Research, ahead of GPT-6-Astra's 33.3%, and 93.0% on GPQA-Diamonds. The weights are open so researchers can inspect, adapt and build on the model.
This is brilliant. Finally, we have a strong new open model for science. As I said before, nothing beats a specialized model, and I think this will be even more important for science. Hydrogen-1.0 is Deep Principle's first open-weight model for scientific research. They post-trained GLM-5.3 on their own scientific data, lab records, and discovery trajectories. They report 38.3% on FrontierScience-Research, compared with 33.3% for GPT-6-Astra. We need more of this. Chenru Duan @chenru_duan We’re introducing Hydrogen-1.0, our first open-weight model for scientific research. We post-trained GLM-5.3 ( @Zai_org ) on our internal scientific data, lab records, and discovery trajectories. It scores 38.3% on FrontierScience-Research vs GPT-6-Astra’s 33.3% and scores 93.0% on GPQA-Diamonds. We believe science should be open, collaborative, and democratized, rather than proprietary. Only open weights let researchers inspect, adapt and build on the unprecedented speed of AI growth. There are many recent models named by chemical elements, but we believe Hydrogen-1.0 is the first aiming towards and open scientific superintelligence for discovery. 🧵 Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 25 🔄 5 ❤️ 48 👀 6497 📊 24 ⚡
