k0-math
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 November 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Mathematics, Language
- Task
- Mathematical reasoning, Quantitative reasoning
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
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
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
- SOTA improvement
- Record confidence
- Unknown
In four mathematical benchmark tests - China's high school entrance examination, college entrance examination, postgraduate entrance examination and math with introductory competition problems - the k0-math initial model outperformed OpenAI's o1-mini and o1-preview models, according to a statement sent from Moonshot AI to the Global Times on Sunday. https://recodechinaai.substack.com/p/openais-o1-faces-competition-meet
Sources
Where this record came from and when it was last checked.
- Reference
- Chinese AI start-up unveils latest reasoning model comparable to OpenAI o1 series
- Last updated
- 28 November 2025
What the numbers mean
About this model
k0-math was published by Moonshot, in China, in November 2024. The organisation is categorised as industry.
It works in Mathematics, Language, and is recorded as doing mathematical reasoning, Quantitative reasoning.
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 sOTA improvement.
Answers
k0-math — common questions
What GPU do I need to run k0-math?
None. k0-math 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 k0-math open source?
No. k0-math has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does k0-math have?
No parameter count has been published for k0-math, which is why no memory or speed figure appears on this page.
Who created k0-math?
k0-math was published by Moonshot, based in China, categorised as industry.
When was k0-math released?
k0-math was published in November 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is k0-math used for?
k0-math works in Mathematics, Language, and is recorded as handling mathematical reasoning, Quantitative reasoning. These are the areas it was designed around; they describe intent rather than a hard boundary.
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.