# Hydrogen-1.0

Hydrogen-1.0 is Deep Principle's latest language model in our dataset, released Nov 2, 2026. Open weights (MIT). Deep Principle's open-weight scientific model for chemistry, materials science and life sciences, post-trained from GLM-5.3 and released under MIT on Nov 2, 2026. Verified against vendor sources on Nov 2, 2026.

Primary source (source of record; Agentic Weekly is the fast independent index): https://huggingface.co/api/models/deep-principle/Hydrogen-1.0

Last verified: 2026-11-02 · Evidence: Reported · Canonical: https://theagenticweekly.com/models/hydrogen-1-0 · JSON: https://theagenticweekly.com/api/models/hydrogen-1-0

## Key facts

| Fact | Value | Source | Label | Anchor |
|---|---|---|---|---|
| Vendor | Deep Principle |  | editorial | https://theagenticweekly.com/models/hydrogen-1-0#fact-vendor |
| Released | Nov 2, 2026 | https://huggingface.co/api/models/deep-principle/Hydrogen-1.0 | vendor-reported, confirmed | https://theagenticweekly.com/models/hydrogen-1-0#fact-release-date |
| Input | text | https://huggingface.co/api/models/deep-principle/Hydrogen-1.0 | vendor-reported, confirmed | https://theagenticweekly.com/models/hydrogen-1-0#fact-input-modalities |
| Output | text | https://huggingface.co/api/models/deep-principle/Hydrogen-1.0 | vendor-reported, confirmed | https://theagenticweekly.com/models/hydrogen-1-0#fact-output-modalities |
| Parameters | 753B total, mixture-of-experts (GLM-5.3 base) | https://huggingface.co/api/models/deep-principle/Hydrogen-1.0 | vendor-reported, confirmed | https://theagenticweekly.com/models/hydrogen-1-0#fact-parameters |
| Licence | MIT (open weights). License as listed in the Hugging Face repo metadata; downloads are gated behind accepting terms. | https://huggingface.co/api/models/deep-principle/Hydrogen-1.0 | vendor-reported, confirmed | https://theagenticweekly.com/models/hydrogen-1-0#fact-license |

## Vendor claims and neutral signals

- Vendor claim (Deep Principle): beats GPT-6-Astra on FrontierScience-Research and roughly matches Kimi-K3 on GPQA-Diamond. We did not verify this.
- Deep Principle reports a mean best-so-far HOMO-LUMO gap of 4.318 eV after five rounds of transition metal complex design, versus 3.689 eV for GPT-6-Astra.

## What we tested

Nothing yet. We have not run Hydrogen-1.0 ourselves, so every fact here is Reported from the sources below.

## Not verified, left out

- The Hugging Face model card is gated, so context length, maximum output and hardware requirements were not read from a primary source and are left out.
- NeuroSpark API pricing was not checked.
- All benchmark results are Deep Principle's own evaluations.

## Alternatives to Hydrogen-1.0

Models from other vendors that share at least one of our groups, from each model's sourced facts (not tested by us).

- [Clover-35B-A3B-Preview](https://theagenticweekly.com/models/clover-35b-a3b-preview) (DiffuSpace): Both in: Open weights · released Oct 30, 2026
- [GPT-Rosalind-6](https://theagenticweekly.com/models/gpt-rosalind-6) (OpenAI): Both in: Reasoning · released Oct 30, 2026
- [SenseNova-Loop-9B-Preview](https://theagenticweekly.com/models/sensenova-loop-9b-preview) (SenseNova): Both in: Open weights · 262K context · released Oct 30, 2026
- [LFM3-1.7B](https://theagenticweekly.com/models/lfm3-1-7b) (Liquid AI): Both in: Open weights · 256K context · released Oct 27, 2026
- [Kimi K3.1 Pro](https://theagenticweekly.com/models/kimi-k3-1-pro) (Moonshot AI): Both in: Reasoning · $2 in / $10 out per 1M tokens · 1.05M context · released Oct 23, 2026
- [Nemotron 3.5 Bolt E4B (4GB)](https://theagenticweekly.com/models/nemotron-3-5-bolt-e4b) (NVIDIA): Both in: Open weights · 64K context · released Oct 23, 2026
- [Best open-weight LLMs (Nov 2026): GLM-5.3 leads Terminal-Bench 4.0](https://theagenticweekly.com/best/open-weight-llms)

## Hydrogen-1.0 FAQ

**When was Hydrogen-1.0 released?**

Deep Principle released Hydrogen-1.0 on Nov 2, 2026. Source: https://huggingface.co/api/models/deep-principle/Hydrogen-1.0

**Is Hydrogen-1.0 open weights?**

Yes. The weights are published under MIT. Source: https://huggingface.co/api/models/deep-principle/Hydrogen-1.0

**Has Agentic Weekly tested Hydrogen-1.0?**

Not yet. Every fact on this page is Reported: read from the linked vendor pages, not measured by us.

## Sources

- [Deep Principle blog: Introducing Hydrogen-1.0](https://blog.deepprinciple.com/introducing-hydrogen-1.0/)
- [Hugging Face: deep-principle/Hydrogen-1.0 (repo metadata)](https://huggingface.co/api/models/deep-principle/Hydrogen-1.0)

Data licence: CC BY 4.0. Data: Agentic Weekly (https://theagenticweekly.com), CC BY 4.0.