Cohere Embed 4
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 the country recorded as Canada, during April 2025. The category the publisher falls under is industry.
It works in the domain of Language, Vision, Multimodal, and is recorded as performing the task of 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
Cohere Embed 4— who created it?
It was published by Cohere, based in Canada, an organisation categorised as industry.
Cohere Embed 4— when was it released?
It was published in April 2025.
Cohere Embed 4— what is it used for?
It works in the domain of Language, Vision, Multimodal, and is recorded as handling the task of semantic embedding, Retrieval-augmented generation, Image embedding. These are the areas it was designed around; they describe intent rather than a hard boundary.
Cohere Embed 4— 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.
Cohere Embed 4— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
Cohere Embed 4— 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.
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.