Co-founder Chenru Duan says the GLM-5.3 post-train, trained on Deep Principle's own lab records, scores 38.3% on FrontierScience-Research against GPT-6-Astra's 33.3%.
By [Ryan Merket](https://runtimewire.com/author/ryan-merket)
· Published
Primary source: [x.com](https://x.com/chenru_duan/status/2117249292469665838)
Why it matters #
Hydrogen-1.0 tests whether a materials startup's own lab records and discovery trajectories are a training advantage that general labs cannot copy from public data. Because the weights are open and priced by the company at GLM-5.3 rates, other researchers can rerun the FrontierScience-Research and GPQA-Diamond claims and judge whether post-training on full experiment cycles produces better scientific decisions, not better answers.
Deep Principle co-founder and CTO Chenru Duan (@chenru_duan) introduced Hydrogen-1.0 on November 2nd. It is the Hangzhou startup's first open-weight model for scientific research, built by post-training Z.ai's GLM-5.3 on the company's internal scientific data, laboratory records and discovery trajectories.…
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