Cohere's larger multimodal embedding model for enterprise search and retrieval, handling text, images and documents in 100+ languages
Embed 5 Fast
New· 4Lower-cost sibling of Cohere's Embed 5 Pro, for high-volume multimodal embedding and indexing across 100+ languages
TrustList summary
Embed 5 Fast is the smaller and lower-cost of the two Embed 5 models that Cohere released on 30 September 2026. It shares the inputs, language coverage and output options of Embed 5 Pro. It is aimed at indexing large volumes of content, where cost and response time count for more than the last few points of retrieval accuracy.
What Embed 5 Fast does
- Multimodal embeddings: text, images, fused text and images, and parsed documents.
- Same context and outputs: a 128,000-token context, vectors from 2048 down to 256 dimensions, and float, int8 or binary output.
- Multilingual coverage: more than 100 languages, as with Embed 5 Pro.
- Where to run it: Cohere's API or Model Vault, Microsoft Foundry, Amazon SageMaker, Cohere's North platform, or a private deployment.
Customers and markets
Teams running high-volume indexing, where cost and latency matter most.
Key facts
- Released: 30 September 2026
- Context: 128,000 tokens
- Benchmarks: no separate evaluation results from Cohere could be checked for this model
Summary written by TrustList from the business's own published information, Oct 2026.
Benchmarks & AI stats
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|---|---|---|
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Categories & features
Trust Score
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Updated 10/2/2026
What the business tells TrustList
- Founded
- 2026 (0 years) evidence sent
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