Hydrogen-1.0

Hydrogen-1.0

Deep Principle
Mistral Large 4

Mistral Large 4

Mistral AI
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About

Hydrogen-1.0 is an open-weight scientific language model developed by Deep Principle through post-training GLM-5.3 on chemistry, materials science and life-sciences data, laboratory records and research trajectories. It is intended to help researchers address scientific questions, explain derivations, explore reaction pathways, analyze spectra, plan experiments and develop materials hypotheses. Demonstrations include scientific computing workflows, reaction-network exploration, NMR structure analysis, experimental planning and materials discovery. The model is available as downloadable weights through Hugging Face and ModelScope, through API access on NeuroSpark, and in Deep Principle's Mira AI Scientist. It can also be run locally using compatible hardware and software. Hydrogen-1.0 supports research workflows; users should review its outputs against relevant evidence and scientific constraints.

About

Mistral Large 4 is a general-purpose multimodal language model available through Mistral’s hosted inference API. It combines instruction following, reasoning and agentic capabilities, and accepts image and text inputs. Developers can use it for chat completion, structured outputs, function calling, document question answering, tool-assisted workflows and other application features. Its documented use cases include conversational assistants, coding and software engineering agents, cybersecurity analysis, finance and legal workflows, scientific research, data extraction, summarization, and analysis of documents, charts and images. Mistral Large 4 is designed for developers, researchers, businesses and public-sector teams building AI-powered applications across industries such as engineering, manufacturing, finance, logistics and science.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Researchers and scientific R&D teams working in chemistry, materials science, and life sciences who need assistance with scientific questions, research workflows, experiment planning, or materials exploration.

Audience

Developers, researchers, businesses, and public-sector teams building AI applications and workflows, including work in engineering, manufacturing, finance, cybersecurity, and science.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

$1.36 per 1M input tokens
Input: $1.36 per 1 million tokens
Output: $4.18 per 1 million tokens
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 4.0 / 5
ease 4.0 / 5

Pros & Cons from Real Users

Pros

  • Mistral Large 4 is a big improvement over previous Mistral models. I am impressed with its coding, reasoning, and ability to handle longer, more complicated tasks without losing track of the instructions. The multimodal capabilities are also quite good, especially when working with documents, charts, and images.

Cons

  • The model is powerful, but it isn't as consistently reliable as the very best closed models on difficult reasoning tasks. I occasionally had to correct or re-prompt it when an answer sounded confident but missed an important detail. It's also an enormous model, so running the open weights yourself will require substantial hardware.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Deep Principle
Founded: 2024
China
blog.deepprinciple.com/introducing-hydrogen-1.0/

Company Information

Mistral AI
Founded: 2023
France
docs.mistral.ai/models/mistral-large-4-0

Alternatives

No Alternatives

Alternatives

GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
Mistral Large 3

Mistral Large 3

Mistral AI

Categories

AI Models Supported
AI Science Supported

Categories

Integrations

Hugging Face Supported
Mistral AI Not Supported
Mistral Vibe Not Supported
ModelScope Supported

Integrations

Hugging Face Not Supported
Mistral AI Supported
Mistral Vibe Supported
ModelScope Not Supported
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