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Mixedbread

mxbai-embed-large

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mixedbread/mxbai-embed-large:latest

State-of-the-art large embedding model from mixedbread.ai

Input → Output
Text Embeddings
Input / Output · per 1M tokens
Not available in Credits
Context window
512 tokens
License: open_source

From model to application

Quick Start

API reference
  1. Get your API key

    Create a key in the ShareAI Console, then save it as an environment variable on your server.

    Create API key
    Environment variable
    export SHAREAI_API_KEY="your-api-key"
  2. Choose your endpoint

    Choose a tag available in this access view to see its API request.

Pricing

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A little more detail

Frequently asked questions

What is mxbai-embed-large?

State-of-the-art large embedding model from mixedbread.ai

How much does mxbai-embed-large cost?

A per-token price has not been published for this tag. Check your Console for available access and current pricing.

What inputs and outputs does mxbai-embed-large support?

Inputs: Text. Outputs: Embeddings. These capabilities apply to the selected model tag. Check the endpoint documentation for supported request formats.

What is the context length of mxbai-embed-large?

This tag has a context window of 512 tokens. Context size and pricing thresholds are separate. Request limits can be lower for a particular deployment.

How do I use mxbai-embed-large with ShareAI?

Create an API key in the ShareAI Console, choose a model tag, and send an authenticated request to the endpoint in Quick Start. Your key must have access to the chosen model. Keep your key on your server.