A.X K1
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
- SK Telecom
- Organisation type
- Industry
- Country
- Korea (Republic of)
- Published
- 30 December 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Code generation, Language modeling/generation, Translation, Instruction interpretation, Mathematical reasoning, Chat, Language modeling, Language generation, Text autocompletion
- Numerical format
- BF16
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
- 519B
- Training data
- tokens
- Batch size
- 18,432
MoE Architecture, Total parameters 519B, Active parameters 33B
ramp up from 2,048, step size 1,024
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 H200
- Chips used
- 1,536
- Wall-clock time
- 1,536 hours (64 days)
- Hardware utilisation
- MFU 28.3% · HFU 92.7%
- Compute cost
- $9,642,947
GPU hours (1,536 GPUs)
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
- Training cost
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- A.X K1
- Last updated
- 31 December 2025
What the numbers mean
Background
A.X K1 was published by SK Telecom, in Korea (Republic of), in December 2025. industry is the category the publisher falls under.
It works in Language, and is recorded as doing code generation, Language modeling/generation, Translation, Instruction interpretation, Mathematical reasoning, Chat, Language modeling, Language generation, Text autocompletion.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Training and provenance
Its inclusion criterion is training cost.
Answers
A.X K1 — common questions
When was A.X K1 released?
A.X K1 was published in December 2025.
What is A.X K1 used for?
A.X K1 works in Language, and is recorded as handling code generation, Language modeling/generation, Translation, Instruction interpretation, Mathematical reasoning, Chat, Language modeling, Language generation, Text autocompletion. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run A.X K1?
None. A.X K1 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 A.X K1 open source?
The licensing for A.X K1 was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does A.X K1 have?
A.X K1 has 519B parameters. MoE Architecture, Total parameters 519B, Active parameters 33B. 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 A.X K1?
A.X K1 was published by SK Telecom, based in Korea (Republic of), categorised as industry.
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.