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# Announcing Cohere's Embed 5 Models

> Release announcement for Embed 5 Pro and Embed 5 Fast, Cohere's most powerful family of embeddings models for enterprise search and retrieval.

We're pleased to announce the release of [Embed 5](/docs/cohere-embed), Cohere's most powerful embeddings family yet.

Embed 5 delivers frontier retrieval quality on complex enterprise data, with major gains over Embed 4 on visually rich documents, financial filings, parsed PDFs, code, and multilingual retrieval.

## Key features

* **Two model variants available:**
  * `embed-v5.0-pro`: Optimized for the highest retrieval quality, particularly for offline indexing and quality-critical retrieval
  * `embed-v5.0-fast`: Optimized for low latency and high throughput, particularly for interactive search, agent loops, and high-volume query traffic
* **Shared embedding space**: Pro and Fast share an embedding space, so a corpus indexed with one model can be queried with the other. We recommend indexing with Pro and querying with Fast.
* **Multimodal inputs**: Embed text, images, and mixed text-and-image inputs (e.g. PDF pages) in a single vector
* **Multilingual support**: Supports over 100 languages
* **Extended context length**: 128k token context window
* **Flexible storage**: Matryoshka embeddings in the following dimensions: `[256, 512, 768, 1024, 1536, 2048]`, with `float`, `int8`, and `binary` output types

## Availability

Embed 5 is available through the [Embed API](/reference/embed), as well as Microsoft Foundry
([Pro](https://ai.azure.com/catalog/models/Cohere-Embed-V5-Pro),
[Fast](https://ai.azure.com/catalog/models/Cohere-Embed-V5-Fast)) and Amazon SageMaker
([Pro](https://aws.amazon.com/marketplace/pp/prodview-pobc74bcuaohi),
[Fast](https://aws.amazon.com/marketplace/pp/prodview-qffayhd7sgkja)).
For single-tenant deployment, Embed 5 is also available in Cohere's [Model Vault](/docs/model-vault).

For more details, see the [model documentation](/docs/cohere-embed).