# Is Hydrogen-1.0 SOTA?

Pending benchmarks. Announced Nov 2, 2026; no independent results yet.

As of Nov 3, 2026, Hydrogen-1.0 is pending benchmarks on isitsota: announced Nov 2, 2026, with no independent results on the boards we track yet.

Deep Principle's open-weights model for scientific research in chemistry, materials science and life sciences, post-trained from Z.ai's GLM-5.3 on domain data, laboratory records and discovery trajectories. It has a 1M-token context and up to 128K output tokens. Weights on Hugging Face and ModelScope under the MIT license, with NVFP4 and MXFP4 builds; Deep Principle also offers it through NeuroSpark's API and its Mira AI Scientist product.

Canonical: https://isitsota.com/m/hydrogen-1-0
Last updated: 2026-11-02
Tracking since: 2026-11-02

## Announced facts

| Fact | Value |
| --- | --- |
| Lab | Deep Principle |
| Announced | Nov 2, 2026 |
| API | Live · NeuroSpark API (model hydrogen-1.0) (unsure · linked from Deep Principle's blog; NeuroSpark's model page needs sign-in) |
| Open weights | Published · Hugging Face deep-principle/Hydrogen-1.0 (BF16, gated with automatic approval) and ModelScope deep-principle/Hydrogen-1.0 |
| Parameters | About 753B (753,329,940,480 parameters in the BF16 safetensors, the same count as the GLM-5.3 checkpoint on Hugging Face) |
| Type | Text reasoning model for scientific work: experiment planning, protocol writing, results analysis, simulation workflows and materials design |
| Base model | zai-org/GLM-5.3 (Z.ai), fully post-trained by Deep Principle; same architecture (Hugging Face tag glm_moe_dsa) |
| Training | Supervised fine-tuning and reinforcement learning on chemistry, materials science and life sciences data, feedback from Deep Principle scientists, laboratory records and discovery trajectories; datasets and recipes not released |
| Context | 1M tokens, up to 128K output tokens, per the Hugging Face card |
| Variants | deep-principle/Hydrogen-1.0-NVFP4 (for NVIDIA Blackwell B200 and B300) and deep-principle/Hydrogen-1.0-MXFP4 (for AMD MI350X and MI355X), not gated |
| License | MIT for the weights (LICENSE, copyright Deep Principle and Z.AI); Deep Principle's own code and docs under Apache 2.0; the upstream GLM-5.3 checkpoint keeps its own license |
| Serving | SGLang on 8 GPUs, served model name hydrogen-1.0, per the Hugging Face card |
| Product | Available in Mira, Deep Principle's AI Scientist |
| Collaborators | UniPat and Mind Lab (data, training pipeline and infrastructure) and NeuroSpark (training infrastructure), per Deep Principle |

Tags marked unsure are not stated on the lab's own pages.

## What would let us call it

Verdicts use only independent boards we already track. Two consecutive snapshots are required before any crown.

- [x] Publicly announced with a source
- [x] Usable by the public (API or weights)
- [ ] Listed on an independent board we track
- [ ] Enough results for a rank in a category
- [ ] Holds across two snapshots (crowns only)

## What the lab claims

Self-reported. Shown for context; not used in any verdict.

- Lab claim: 38.3% on FrontierScience-Research, against 33.3% for GPT-6-Astra, and 93.0% on GPQA-Diamond, per Deep Principle's CTO.
- Lab claim: in Deep Principle's internal tests, 5.13 and 4.76 points ahead of GPT-6 Astra (maximum thinking) on scientific computing and forward reaction prediction, while Astra scores 3.33 points higher on NMR structure elucidation.
- Lab claim: in transition metal complex design, a mean best-so-far HOMO–LUMO gap of 4.318 eV after five rounds, against 3.689 eV for GPT-6-Astra and 3.353 eV for Kimi-K3.
- Lab claim: a higher mean rubric score than Kimi-K3 on 117 shared experiment-planning questions.

## Sources

- LAB: [Deep Principle announcement on X](https://x.com/DeepPrinciple/status/2117249008972550447) (2026-11-02)
- LAB: [Chenru Duan (Deep Principle CTO) post on X](https://x.com/chenru_duan/status/2117249292469665838) (2026-11-02)
- LAB: [Introducing Hydrogen-1.0 (Deep Principle blog)](https://blog.deepprinciple.com/introducing-hydrogen-1.0/)
- REPO: [deep-principle/Hydrogen-1.0 on Hugging Face](https://huggingface.co/deep-principle/Hydrogen-1.0)
- REPO: [deep-principle/Hydrogen-1.0-NVFP4 on Hugging Face](https://huggingface.co/deep-principle/Hydrogen-1.0-NVFP4)
- REPO: [deep-principle/Hydrogen-1.0-MXFP4 on Hugging Face](https://huggingface.co/deep-principle/Hydrogen-1.0-MXFP4)
- REPO: [deep-principle/Hydrogen-1.0 on ModelScope](https://www.modelscope.cn/models/deep-principle/Hydrogen-1.0)
- PRESS: [ModelScope post on X](https://x.com/ModelScope2022/status/2117164818880696417) (2026-11-02)

Tracking continues until an independent board lists it.

## Related

- Lab: [Deep Principle](https://isitsota.com/labs/deep-principle.md)
- Compare when it lands (unscored): [its base model, GLM 5.3](https://isitsota.com/m/glm-5-3.md)
- All pending releases: https://isitsota.com/releases.md
- JSON: https://api.isitsota.com/v1/models/hydrogen-1-0