# Cohere launches Embed 5 Pro and Fast for enterprise search and agents

Digest AI · Enterprise & Industry · published 2026-10-01T17:13:12Z

Canonical: https://digestai.news/story/cohere-launches-embed-5-pro-and-fast-for-enterprise-search-and-agents

## Summary

Cohere released Embed 5 on September 30, a multimodal embedding model family split into two tiers: **Embed 5 Pro** (optimized for retrieval quality) and **Embed 5 Fast** (optimized for speed and cost). Both support text, images, and fused text-image inputs, cover 128K tokens, and 100+ languages. A key feature is their shared embedding space—users can index with Pro and query with Fast without re-indexing, provided dimensions match.

The models are now generally available via Cohere’s API, Model Vault, Microsoft Foundry, and Amazon SageMaker. Benchmarks show Embed 5 Pro scoring **85.8 on ViDoRe V3**, ahead of Voyage 4 Large (83.7) and Gemini Embedding 2 (83.2). Embed 5 Fast costs **$0.08 per 1M text tokens**, while Pro costs **$0.12**, with image inputs priced at **$0.40 per 1M tokens**. Fast processes **377.3 documents per second**, nearly **2.4x faster** than Pro. Storage efficiency is also highlighted: 256-dim binary vectors use just **32 bytes**, a **256x reduction** compared to 2048-dim float32 vectors.

## Key points

- Embed 5 Pro scores 85.8 on ViDoRe V3, outperforming Voyage 4 Large and Gemini Embedding 2
- Embed 5 Fast costs $0.08 per 1M text tokens and processes 377.3 docs/sec, 2.4x faster than Pro
- Pro and Fast share one embedding space: index with Pro, query with Fast for speed without re-indexing

## Why it matters

Embed 5’s shared embedding space and tiered performance let enterprises balance cost, speed, and accuracy for agentic retrieval and RAG, reducing storage needs by up to 256x.

## Sources

1. [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) (MarkTechPost, 2026-10-01)

Part of the developing story: [Enterprise AI Search Infrastructure Accelerates](https://digestai.news/thread/conde-nast-cuts-video-search-time-from-250-minutes-to-2-minutes-using-amazon) (2 stories)

## Cite

Digest AI, "Cohere launches Embed 5 Pro and Fast for enterprise search and agents", 1 October 2026, https://digestai.news/story/cohere-launches-embed-5-pro-and-fast-for-enterprise-search-and-agents

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