LLM Reference
Microsoft Foundry

Cohere Embed English v3.0 on Microsoft Foundry

Cohere Embed · Cohere

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

Why use Cohere Embed English v3.0 on Microsoft Foundry?

Microsoft Foundry offers Cohere Embed English v3.0 with pay-as-you-go pricing at $0.10/1M input tokens. Microsoft Foundry is a unified Azure platform-as-a-service offering for enterprise AI operations, model builders, and application development.

Compare Cohere Embed English v3.0 across 2 providers to find the best fit for your use case
Input / 1M
$0.10
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: Cohere-embed-v3-english
Model ID
Cohere-embed-v3-english

Request example

Curated snippets for this provider are not sourced yet. Use Microsoft Foundry documentation with model ID Cohere-embed-v3-english.

Gotchas

  • Use provider model ID "Cohere-embed-v3-english", not the LLMReference slug "cohere-embed-english-v3-0".

Compare Cohere Embed English v3.0 Across Providers

ProviderInput (per 1M)Output (per 1M)
Microsoft Foundry$0.10
Cohere API

Pricing

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).

FAQ

What is the context window for Cohere Embed English v3.0 on Microsoft Foundry?

Cohere Embed English v3.0 supports a 512 token context window on Microsoft Foundry.

How does Microsoft Foundry compare to other Cohere Embed English v3.0 providers?

Cohere Embed English v3.0 is available from 2 providers. The cheapest input pricing is $0.1/1M tokens from Microsoft Foundry.

What API model ID do I use for Cohere Embed English v3.0 on Microsoft Foundry?

Use the model ID Cohere-embed-v3-english when calling Microsoft Foundry's API.

Who created Cohere Embed English v3.0?

Cohere Embed English v3.0 was created by Cohere as part of the Cohere Embed model family.

Is Cohere Embed English v3.0 open source?

Cohere Embed English v3.0 is not open source; the seed data lists it as proprietary.

Get Started

Model Specs

Released2023-11-02
Context512
ArchitectureEncoder Only

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