# Cohere — Introducing Embed 5—A New Family of Frontier Embedding Models

- Company: Cohere (cohere.com)
- Announced: 2026-09-30
- Category: not stated
- Coverage: 1 outlet
- Announcement: yes
- Group: covered
- Source: https://cohere.com/blog/embed-5
- Record: https://forck.live/items/15363-introducing-embed-5-a-new-family-of-frontier-embedding-models
- Subject: Command

Our most powerful embedding models yet, now available in Pro and Fast tiers. Key takeaways State-of-the-art enterprise retrieval: Embed 5 Pro achieves the highest average score of any model we tested - particularly across financial datasets, parsed PDFs, and visually rich documents. A new Fast tier: Embed 5 Fast brings strong retrieval quality to latency - and cost-sensitive workloads, at $0.08 per million tokens. One index, two models: Pro and Fast share an embedding space, so teams can index with Pro and query with either model without re-indexing. Built for complex enterprise data: Embed 5 supports multimodal inputs and retrieval, 100+ languages, and a 128K-token context window for longer documents. More efficient at scale: Matryoshka representations and lower-precision outputs reduce vector storage and search costs, while quantized weights lower serving requirements for private deployments. Today, we're releasing Embed 5, a new family of embeddings models at the frontier of high-quality enterprise retrieval. Embed 5 delivers stronger retrieval across complex enterprise data while giving teams more control over latency, cost, and deployment. …

## Around this story

Outlets this record can name and link:

- Marktechpost — Cohere Releases Embed 5: How It Compares to Voyage 4 Large, Gemini Embedding 2, and OpenAI: https://marktechpost.com/2026/10/01/cohere-releases-embed-5

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