Voxtral Mini 2507

by Mistral

Voxtral Mini Latest always points to the most current release of Voxtral Mini, Mistral's compact speech-understanding model that combines transcription with semantic comprehension. A 32K token context window lets it process audio up to 30 minutes for transcription or 40 minutes for understanding tasks, generating summaries, answers, and analysis directly from speech without chaining separate models. Built for voice agents, conversational AI, and agentic workflows, the model supports structured output and function calling so it can drive downstream automation such as contact-center handling, meeting intelligence, and voice-first applications. Released as open weights under Apache 2.0, Voxtral Mini is sized for cost-efficient, responsive deployment, including on-premise and edge environments where a small, capable speech model is preferred.

Key info

Input
Output
Features
Context window
33K
Max output
β€”
Input price
$0.04 /1M
Output price
$0.04 /1M
  • onchain settlement available
  • No training by default
  • no-KYC deposit available

Available routes

Voxtral Mini 2507 runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
EUNot by defaultNo$0.04$0.04

Uptime and availability

Voxtral Mini 2507 runs on a single route through the qynio gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.

Data handling per route

Each route hosting Voxtral Mini 2507 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

Mistral β€” FranceπŸ‡«πŸ‡·

Zero data retention is not on by default β€” abuse monitoring, 30-day retention. No training on customer data. EU; deposit available.

Zero data retention
Not by default β€” abuse monitoring, 30-day retention. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
Abuse monitoring (30-day retention)
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
Not applicable β€” data stays in EU

Get started

Call Voxtral Mini 2507 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β€” qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.QYN_API_KEY,
baseURL: "https://api.qyn.io/v3/compat",
});
const completion = await client.chat.completions.create({
model: "mistral/voxtral-mini-latest",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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