CodeScientist

Closed weights Allen Institute for AI March 2025

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
Allen Institute for AI
Organisation type
Research collective
Country
United States of America
Published
20 March 2025
Authors
Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark

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

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Record confidence
Unknown

Sources

Where this record came from and when it was last checked.

Reference
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
Last updated
28 November 2025

What the numbers mean

Background

CodeScientist was published by Allen Institute for AI, in United States of America, in March 2025. research collective is the category the publisher falls under.

Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.

Answers

CodeScientist — common questions

01

How many parameters does CodeScientist have?

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

02

Who created CodeScientist?

CodeScientist was published by Allen Institute for AI, based in United States of America, categorised as research collective.

03

When was CodeScientist released?

CodeScientist was published in March 2025.

04

What GPU do I need to run CodeScientist?

None. CodeScientist 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.

05

Is CodeScientist open source?

The licensing for CodeScientist was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.

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.