{"slug": "deep-principle-releases-open-weight-hydrogen-1-0-and-says-it-beats-gpt-6-astra", "title": "Deep Principle releases open-weight Hydrogen-1.0 and says it beats GPT-6-Astra at science", "summary": "Deep Principle co-founder and CTO Chenru Duan announced on November 2nd that the Hangzhou startup released Hydrogen-1.0, an open-weight scientific research model post-trained on Z.ai's GLM-5.3 using Deep Principle's internal lab records and discovery trajectories. Duan said Hydrogen-1.0 scores 38.3% on FrontierScience-Research versus 33.3% for GPT-6-Astra, and the company priced the weights at GLM-5.3 rates so researchers can rerun the FrontierScience-Research and GPQA-Diamond claims.", "body_md": "# Deep Principle releases open-weight Hydrogen-1.0 and says it beats GPT-6-Astra at science\n\n**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%.**\n\n        By [Ryan Merket](https://runtimewire.com/author/ryan-merket)\n        · Published \n\nPrimary source: [x.com](https://x.com/chenru_duan/status/2117249292469665838)\n\n## Why it matters\n\nHydrogen-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.\n\nDeep Principle co-founder and CTO [Chenru Duan (@chenru_duan)](https://x.com/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](https://runtimewire.com/models/together/zai-org-glm-5.3-ab35037a1203d76c) on the company's internal scientific data, laboratory records and discovery trajectories.…\n\nWhen you purchase through links in our articles, [we may earn a small commission](https://runtimewire.com/affiliate-monetization-standards). This doesn’t affect our editorial independence.", "url": "https://wpnews.pro/news/deep-principle-releases-open-weight-hydrogen-1-0-and-says-it-beats-gpt-6-astra", "canonical_source": "https://runtimewire.com/article/deep-principle-hydrogen-1-open-weight-science-model", "published_at": "2026-11-02 16:14:36+00:00", "updated_at": "2026-11-02 19:19:35.699178+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research", "ai-startups"], "entities": ["Deep Principle", "Hydrogen-1.0", "Chenru Duan", "GLM-5.3", "Z.ai", "GPT-6-Astra", "FrontierScience-Research", "GPQA-Diamond"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/deep-principle-releases-open-weight-hydrogen-1-0-and-says-it-beats-gpt-6-astra", "markdown": "https://wpnews.pro/news/deep-principle-releases-open-weight-hydrogen-1-0-and-says-it-beats-gpt-6-astra.md", "text": "https://wpnews.pro/news/deep-principle-releases-open-weight-hydrogen-1-0-and-says-it-beats-gpt-6-astra.txt", "jsonld": "https://wpnews.pro/news/deep-principle-releases-open-weight-hydrogen-1-0-and-says-it-beats-gpt-6-astra.jsonld"}}