Cohere Embed v4

Cohere Embed v4 is Cohere’s multimodal embedding model, released in April 2025 as the successor to Embed v3. Unlike its predecessor, it accepts text, images, and mixed documents in a single call and produces a unified vector representation, so a screenshot of a PDF page, a slide, or a table can be indexed directly alongside plain text without first converting it to text. It supports a 128,000 token context window, well beyond OpenAI’s and Voyage’s embedding models, and offers Matryoshka embeddings at 256, 512, 1024, or 1536 dimensions so users can trade storage against accuracy. Pricing is $0.12 per million text tokens and $0.47 per million image tokens through the Cohere API, and the model is also available on Amazon Bedrock and Azure AI. Cohere positions it for enterprise document search and RAG systems that need to handle scanned or visually formatted content, not just plain text.