# MX-BAI Embed Large

> MX-BAI Embed Large is Mixedbread AI's open text embedding model, returning a 1,024-dimension dense vector over a 512-token window. MIT-licensed. AnyRouter exposes the text path via /embeddings on the user's own paired device running Ollama.

**ID**: `mixedbread-ai/mxbai-embed-large`  
**Creator**: mixedbread-ai  
**Category**: embedding  
**Context**: 512 tokens  
**Input**: $0  
**Output**: $0  
**Released**: 2024-02-16  
**Web page**: https://anyrouter.dev/model/mixedbread-ai/mxbai-embed-large

**Input modalities**: text  
**Output modalities**: embeddings  

**Tokenizer**: Other

**Capabilities**: embedding

**Supported parameters**: input, model, dimensions, encoding_format

## Usage

**Endpoint**: `POST https://anyrouter.dev/api/v1/embeddings`

```bash
curl https://anyrouter.dev/api/v1/embeddings \
  -H "Authorization: Bearer $ANYROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "mixedbread-ai/mxbai-embed-large",
  "input": "The quick brown fox jumps over the lazy dog"
}'
```

Pass `input` as a string or an array of strings to embed a batch in one call.

## Providers

| Provider | Input | Output |
| --- | --- | --- |
| ollama-anyr-relay | $0 | $0 |

## Source

- Upstream docs: https://huggingface.co/mixedbread-ai/mxbai-embed-large