What is the context window of Embed v3 English by Azure?

Embed v3 English by Azure has a context window of 512 tokens. It supports up to 512 input tokens and can generate up to 1K output tokens.

What input and output types does Embed v3 English support?

Embed v3 English by Azure accepts text as input and can generate text as output.

Is Embed v3 English by Azure open source?

Yes, Embed v3 English by Azure has open weights, meaning the model weights are publicly available for download and self-hosting.

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Embed v3 English API

Azure

About

Embed v3 English is a high-performance LLM available via the Azure API, ideal for scalable text generation and natural language processing. This model delivers cost-effective pricing at $0.10/1M input and Free/1M output tokens, open weights architecture. Access Embed v3 English via the Azure API with up to 1K output tokens.

Capabilities

Input Modalities

text

Output Modalities

text

Reasoning

Structured Output

Tool Use

WeightsOpen

Temperature

Fixed

Attachment

Not Supported

Limits

Context Window

512

Tokens

Input Limit

512

Tokens

Max Output

Tokens

Pricing

Standard (per 1M tokens)

Input

$0.10

Output

Free

Frequently Asked Questions

Embed v3 English by Azure costs $0.10 per 1M input tokens and Free per 1M output tokens.

Model Details

cohere-embed-v3-english

Provider

Azure

Family

cohere-embed

Release Date

Nov 7, 2023

Knowledge Cutoff

N/A

API Integration

NPM Package

@ai-sdk/azure

Environment Variables

AZURE_RESOURCE_NAME

AZURE_API_KEY

Documentation