Kimi K3
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
- Moonshot
- Organisation type
- Industry
- Country
- China
- Published
- 16 July 2026
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Multimodal, Vision
- Task
- Language modeling/generation
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
- 2.8T
- Training data
- tokens
2.8T total,16/896 active experts * 2.8e12 = 50B active.
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
- API access
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
- Kimi K3
- Last updated
- 18 July 2026
What the numbers mean
What this model is
Kimi K3 was published by Moonshot, in the country recorded as China, during July 2026. The publishing organisation is categorised as industry.
It works in the domain of Language, Multimodal, Vision, and is recorded as performing the task of language modeling/generation.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Kimi K3 — common questions
Kimi K3— how many parameters does it have?
It has a parameter count of 2.8T. 2.8T total,16/896 active experts * 2.8e12 = 50B active. 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.
Kimi K3— who created it?
It was published by Moonshot, based in China, an organisation categorised as industry.
Kimi K3— when was it released?
It was published in July 2026.
Kimi K3— what is it used for?
It works in the domain of Language, Multimodal, Vision, and is recorded as handling the task of language modeling/generation. These are the areas it was designed around; they describe intent rather than a hard boundary.
Kimi K3— 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.
Kimi K3— is it open source?
No. Its weights have not been 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.