Inkling-Small

Closed weights Thinking Machines 276B parameters July 2026

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
Thinking Machines
Organisation type
Industry
Country
United States of America
Published
15 July 2026

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Language, Multimodal, Audio, Video, Vision
Task
Language modeling/generation, Chat

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
276B

12B active

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

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.

Last updated
18 July 2026

What the numbers mean

Background

Inkling-Small was published by Thinking Machines, in United States of America, in July 2026. The organisation is categorised as industry.

It works in Language, Multimodal, Audio, Video, Vision, and is recorded as doing language modeling/generation, Chat.

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

Answers

Inkling-Small — common questions

01

Is Inkling-Small open source?

No. Inkling-Small has not had its weights published, so it exists only as a service controlled by its owner.

02

How many parameters does Inkling-Small have?

Inkling-Small has 276B parameters. 12B 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.

03

Who created Inkling-Small?

Inkling-Small was published by Thinking Machines, based in United States of America, categorised as industry.

04

When was Inkling-Small released?

Inkling-Small was published in July 2026.

05

What is Inkling-Small used for?

Inkling-Small works in Language, Multimodal, Audio, Video, Vision, and is recorded as handling language modeling/generation, Chat. These are the areas it was designed around; they describe intent rather than a hard boundary.

06

What GPU do I need to run Inkling-Small?

None. Inkling-Small 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.

Source

Original publication

Record last updated 18 July 2026

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.