SWE 1.6
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
- Cognition
- Organisation type
- Industry
- Country
- United States of America
- Published
- 1 March 2026
- Authors
- Carlo Baronio, Ben Pan, Sam Lee, Eric Lu, Steven Cao, Rohan Choudhury, Adam Zweiger, Ray Wang, Gary Chang, Silas Alberti
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Coding, Agentic tasks
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.
- Training data
- tokens
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- NVIDIA GB200
- Chips used
- 2,000
- Power draw
- 4.7 MW
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
- Hosted access (no API)
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- Discretionary
- Record confidence
- Likely
Sources
Where this record came from and when it was last checked.
- Reference
- An Early Preview of SWE-1.6 and Research Update
- Last updated
- 8 April 2026
What the numbers mean
What this model is
SWE 1.6 was published by Cognition, in United States of America, in March 2026. industry is the category the publisher falls under.
It works in Language, and is recorded as doing coding, Agentic tasks.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
What went into building it
The reason it appears in this catalogue at all is discretionary.
Answers
SWE 1.6 — common questions
How many parameters does SWE 1.6 have?
No parameter count has been published for SWE 1.6, which is why no memory or speed figure appears on this page.
Who created SWE 1.6?
SWE 1.6 was published by Cognition, based in United States of America, categorised as industry.
When was SWE 1.6 released?
SWE 1.6 was published in March 2026.
What is SWE 1.6 used for?
SWE 1.6 works in Language, and is recorded as handling coding, Agentic tasks. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run SWE 1.6?
None. SWE 1.6 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.
Is SWE 1.6 open source?
No. SWE 1.6 has not had its weights published, so it exists only as a service controlled by its owner.
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.