Voxtral Small

Name: Voxtral Small
Author: Mistral AI

by Mistral AI

Chat

Voxtral Small is Mistral AI's speech-understanding model: it takes spoken audio directly as input alongside text, so you can ask questions about a recording rather than transcribing it first. Built on the Mistral Small 24B backbone, it handles a 131K-token context and targets voice assistants and audio analysis.

Publisher: Mistral AI
Context window: 128K tokens
Sizes: 24B
Licence: Apache 2.0

Run Voxtral Small

Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.

from pendra import Pendra

client = Pendra(api_key="pdr_sk_...")

response = client.chat.completions.create(
    model="voxtral-small:24b",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)

import { Pendra } from "pendra";

const client = new Pendra({ apiKey: "pdr_sk_..." });

const response = await client.chat.completions.create({
  model: "voxtral-small:24b",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(response.choices[0].message.content);

Run Voxtral Small on your own UK infrastructure

Deploy a worker, install Voxtral Small, and start serving it through one sovereign API endpoint.

Get started free Read the quickstart

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