LLM Reference
Microsoft Foundry

Using Cohere Embed English v3.0 on Microsoft Foundry

Implementation guide · Cohere Embed · Cohere

Serverless

Microsoft Foundry exposes Cohere Embed English v3.0 through model ID Cohere-embed-v3-english. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-01. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Microsoft Foundry and generate an API key.
  2. 2
    Use the Microsoft Foundry SDK or REST API to call Cohere-embed-v3-english — see the documentation for request format.
  3. 3
    You'll be billed $0.10/1M input. See full pricing.

Code Examples

See Microsoft Foundry documentation for integration details.

Pricing on Microsoft Foundry

TypePrice (per 1M)
Input tokens$0.10

Capabilities

Multimodal

About Cohere Embed English v3.0

English-only embedding model supporting text and image inputs. Produces 1024-dimensional embeddings optimized for semantic search, classification, and clustering. Supports multiple similarity metrics (Cosine, Dot Product, Euclidean Distance).

Model Specs

Released2023-11-02
Context512
ArchitectureEncoder Only

Provider

Microsoft Foundry
Microsoft Foundry

Microsoft

Redmond, Washington, United States