Cosmos-Reason1 56B
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- NVIDIA
- Organisation type
- Industry
- Country
- United States of America
- Published
- 19 May 2025
- Authors
- NVIDIA: Alisson Azzolini, Junjie Bai, Hannah Brandon, Jiaxin Cao, Prithvijit Chattopadhyay, Huayu Chen, Jinju Chu, Yin Cui, Jenna Diamond, Yifan Ding, Liang Feng, Francesco Ferroni, Rama Govindaraju, Jinwei Gu, Siddharth Gururani, Imad El Hanafi, Zekun Hao, Jacob Huffman, Jingyi Jin, Brendan Johnson, Rizwan Khan, George Kurian, Elena Lantz, Nayeon Lee, Zhaoshuo Li, Xuan Li, Maosheng Liao, Tsung-Yi…
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Vision, Robotics, Video
- Task
- Language modeling/generation, Visual question answering, Video description, Question answering, Instruction interpretation, Robotic manipulation
- Base model
- Nemotron-H 56B
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Parameters
- 56B
- Training data
- tokens
56B
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Unreleased
Apache 2.0 https://github.com/nvidia-cosmos/cosmos-reason1
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- From Physical Common Sense To Embodied Reasoning
- Last updated
- 28 November 2025
What the numbers mean
Background
Cosmos-Reason1 56B was published by NVIDIA, in United States of America, in May 2025. It comes out of industry.
It works in Multimodal, Language, Vision, Robotics, Video, and is recorded as doing language modeling/generation, Visual question answering, Video description, Question answering, Instruction interpretation, Robotic manipulation.
It builds on Nemotron-H 56B, which is why it shares that model's general shape and size.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Cosmos-Reason1 56B — common questions
Is Cosmos-Reason1 56B open source?
No. Cosmos-Reason1 56B has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Cosmos-Reason1 56B have?
Cosmos-Reason1 56B has 56B parameters. 56B. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Who created Cosmos-Reason1 56B?
Cosmos-Reason1 56B was published by NVIDIA, based in United States of America, categorised as industry.
When was Cosmos-Reason1 56B released?
Cosmos-Reason1 56B was published in May 2025.
What is Cosmos-Reason1 56B used for?
Cosmos-Reason1 56B works in Multimodal, Language, Vision, Robotics, Video, and is recorded as handling language modeling/generation, Visual question answering, Video description, Question answering, Instruction interpretation, Robotic manipulation. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run Cosmos-Reason1 56B?
None. Cosmos-Reason1 56B is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.