ModelLLMsvembed-v3.0

Cohere Embed v3

by Cohere · paid · Last verified 2026-03-17

Cohere's state-of-the-art embedding model supporting 100+ languages with native int8 and binary quantization for efficient storage. Produces high-quality vector representations optimized for search, classification, and clustering tasks.

https://cohere.com/embed ↗

B—Above Average

Adoption: B+Quality: AFreshness: B+Citations: B+Engagement: F

Specifications

License: Proprietary
Pricing: paid
Capabilities: text-embeddings, multilingual-embeddings, semantic-search, clustering, classification
Integrations: pinecone, weaviate, chroma, langchain, llama-index
Use Cases: semantic-search, rag-retrieval, document-clustering, text-classification, recommendation-systems
API Available: Yes
Parameters: Undisclosed
Context Window: 512 tokens
Modalities: text
Training Cutoff: Mid 2024
Tags: embeddings, semantic-search, rag, multilingual, retrieval
Added: 2026-03-17
Completeness: 100%

Index Score

65.6

Adoption

Quality

Freshness

Citations

Engagement

Explore the full AI ecosystem on Agents as a Service