k0-math

Closed weights Moonshot November 2024

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

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

Record confidence
Unknown

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 the country recorded as China, during November 2024. The publishing organisation is categorised as industry.

It works in the domain of Mathematics, Language, and is recorded as performing the task of 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: sOTA improvement.

Answers

k0-math — common questions

01

k0-math— 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.

02

k0-math— is it open source?

No. Its weights have not been published, so it exists only as a service controlled by its owner.

03

k0-math— how many parameters does it have?

No parameter count has been published for it, which is why no memory or speed figure appears on this page.

04

k0-math— who created it?

It was published by Moonshot, based in China, an organisation categorised as industry.

05

k0-math— when was it released?

It 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.

06

k0-math— what is it used for?

It works in the domain of Mathematics, Language, and is recorded as handling the task of mathematical reasoning, Quantitative reasoning. These are the areas it was designed around; they describe intent rather than a hard boundary.

Source

Original publication

Record last updated 28 November 2025

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.