Using Cohere Embed English v3.0 on Cohere API

Implementation guide · Cohere Embed · Cohere

Serverless

Cohere API exposes Cohere Embed English v3.0 through model ID embed-english-v3.0. 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 Cohere API and generate an API key.
  2. 2
    Use the Cohere API SDK or REST API to call embed-english-v3.0 — see the documentation for request format.
API PortalDocumentationPricing

Code Examples

See Cohere API documentation for integration details.

Pricing on Cohere API

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).

Full model details →

Model Specs

Released2023-11-02
Context512
ArchitectureEncoder Only

More Models on Cohere API

Cohere Embed v4.0Cohere Embed English Light v3.0Cohere Embed Multilingual v3.0Cohere Embed Multilingual Light v3.0
All models on Cohere API →

Also available on(1)

Microsoft Foundry$0.10/1M
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Provider

Cohere API

Cohere

Toronto, Ontario, Canada