# Use Mistral for embeddings

**URL:** https://meta.discourse.org/t/use-mistral-for-embeddings/399854
**Category:** Feature
**Tags:** ai
**Created:** [April 3, 2026, 5:47am UTC](https://meta.discourse.org/t/use-mistral-for-embeddings/399854 "2026-04-03T05:47:49Z")
**Posts on this page:** 1
**Showing post:** 1

<div class="post-metadata">

### Author: ![RGJ](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/rgj/32/523185_2.png) [@RGJ](https://meta.discourse.org/u/RGJ)
#### Post date: [April 3, 2026, 5:47am UTC](https://meta.discourse.org/t/use-mistral-for-embeddings/399854/1 "2026-04-03T05:47:49Z")

</div>

We’ve ran into another issue using Mistral for embeddings.

- Per [this topic](https://meta.discourse.org/t/how-to-implement-mistral-with-embeddings/361095) use OpenAI as provider and the Mistral service URL as URL
- Select tokenizer, sequence length and distance function
- Set model name to ‘mistral-embed’

When a dimension is entered, Mistral cries about not supporting that

```plaintext
 Trying to contact the model returned this error: {{
   "object":"error",
   "message":{
      "detail":[
         {
            "type":"extra_forbidden",
            "loc":[
               "body",
               "dimensions"
            ],
            "msg":"Extra inputs are not permitted",
            "input":2000
         }
      ]
   },
   "type":"invalid_request_error",
   "param":null,
   "code":null,
   "raw_status_code":422
}

```

This is because [Mistral](https://docs.mistral.ai/api/endpoint/embeddings) calls this `output_dimension` so it is not completely OpenAI compatible.

When I leave out the `dimensions` parameter, “Run Test” works, but it also prevents me from saving the model, telling me that “dimensions” is a required parameter.

 ![image](https://global.discourse-cdn.com/meta/original/4X/3/e/d/3eda0e1d2304f06686b3287a32418c54949de732.png)

 ![image](https://global.discourse-cdn.com/meta/original/4X/c/6/f/c6fb836502dec6a03cf6c34bf223ee3acf82fc8a.png)

Being able to use Mistral is quite crucial for GDPR compliance, so it would be good if the dimensions parameter could be omitted (easy fix) or when Mistral could be a first-class provider (better).

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_[View the full topic](https://meta.discourse.org/t/use-mistral-for-embeddings/399854)._