LLM Reference
Microsoft Foundry

Using Cohere Embed Multilingual v3.0 on Microsoft Foundry

Implementation guide · Cohere Embed · Cohere

Serverless

Microsoft Foundry exposes Cohere Embed Multilingual v3.0 through model ID Cohere-embed-v3-multilingual. 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-multilingual — see the documentation for request format.
  3. 3
    You'll be billed $0.10/1M input. See full pricing.
API PortalDocumentationPricing

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 Multilingual v3.0

Multilingual embedding model supporting text and image inputs across multiple languages. Produces 1024-dimensional embeddings optimized for semantic search, classification, and clustering in non-English languages. Supports multiple similarity metrics.

Full model details →

Model Specs

Released2023-11-02
Context512
ArchitectureEncoder Only

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Also available on(1)

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Provider

Microsoft Foundry
Microsoft Foundry

Microsoft

Redmond, Washington, United States