Cohere Embed 4

Closed weights Cohere April 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
Cohere
Organisation type
Industry
Country
Canada
Published
15 April 2025

What it does

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

Domain
Language, Vision, Multimodal
Task
Semantic embedding, Retrieval-augmented generation, Image embedding

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
API access
Training code
Unreleased

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
Introducing Embed 4: Multimodal search for business
Last updated
28 November 2025

What the numbers mean

About this model

Cohere Embed 4 was published by Cohere, in Canada, in April 2025. industry is the category the publisher falls under.

It works in Language, Vision, Multimodal, and is recorded as doing semantic embedding, Retrieval-augmented generation, Image embedding.

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

Answers

Cohere Embed 4 — common questions

01

Who created Cohere Embed 4?

Cohere Embed 4 was published by Cohere, based in Canada, categorised as industry.

02

When was Cohere Embed 4 released?

Cohere Embed 4 was published in April 2025.

03

What is Cohere Embed 4 used for?

Cohere Embed 4 works in Language, Vision, Multimodal, and is recorded as handling semantic embedding, Retrieval-augmented generation, Image embedding. These are the areas it was designed around; they describe intent rather than a hard boundary.

04

What GPU do I need to run Cohere Embed 4?

None. Cohere Embed 4 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 Cohere Embed 4 open source?

No. Cohere Embed 4 has not had its weights published, so it exists only as a service controlled by its owner.

06

How many parameters does Cohere Embed 4 have?

No parameter count has been published for Cohere Embed 4, which is why no memory or speed figure appears on this page.

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.