HyperCLOVA X SEED 32B Think
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
- NAVER
- Organisation type
- Industry
- Country
- Korea (Republic of)
- Published
- 29 December 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Vision
- Task
- Language modeling/generation, (Visual) Question answering, Image Understanding
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
- 32B
- Training data
- tokens
32B
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
- Significant use
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Last updated
- 31 December 2025
What the numbers mean
About this model
HyperCLOVA X SEED 32B Think was published by NAVER, in the country recorded as Korea (Republic of), during December 2025. The category the publisher falls under is industry.
It works in the domain of Multimodal, Language, Vision, and is recorded as performing the task of language modeling/generation, (Visual) Question answering, Image Understanding.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
How it was trained
Its inclusion criterion: significant use.
Answers
HyperCLOVA X SEED 32B Think — common questions
HyperCLOVA X SEED 32B Think— who created it?
It was published by NAVER, based in Korea (Republic of), an organisation categorised as industry.
HyperCLOVA X SEED 32B Think— when was it released?
It was published in December 2025.
HyperCLOVA X SEED 32B Think— what is it used for?
It works in the domain of Multimodal, Language, Vision, and is recorded as handling the task of language modeling/generation, (Visual) Question answering, Image Understanding. 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.
HyperCLOVA X SEED 32B Think— what GPU do I need to run it?
None. This 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.
HyperCLOVA X SEED 32B Think— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
HyperCLOVA X SEED 32B Think— how many parameters does it have?
It has a parameter count of 32B. 32B. 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.
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.