Mistral Small 3.2 24B Instruct (2506)

by Mistral

Mistral Small 3.2 24B Instruct is an open-weight instruction-tuned model released in June 2025 under Apache 2.0. As an incremental update to Mistral Small 3.1, it focuses on more reliable behavior: better adherence to precise instructions, far fewer repetitive or infinite generations, and more robust function calling. This configuration is optimized for text generation and tool execution, with a 128K token context window that supports document analysis, retrieval-augmented generation, and extended multi-turn interactions. Function calling lets it drive agentic workflows and structured automation. With a compact 24B footprint, Small 3.2 runs on modest hardware and serves as a dependable open-weight choice for virtual assistants, fine-tuning, and production deployments where consistent instruction following matters more than raw scale.

Key info

Input
Output
Features
Context window
β€”
Max output
β€”
Input price
$0.35 /1M
Output price
$0.35 /1M
  • onchain settlement available
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • no-KYC deposit available

Available routes

Mistral Small 3.2 24B Instruct (2506) runs on 2 different routes 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
EUZero data retentionNo$0.35$0.35
USZero data retentionNo$0.07$0.20

Uptime and availability

Mistral Small 3.2 24B Instruct (2506) runs on 2 independently monitored routes through the qynio gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.

100%effective uptime, last 30 days
Averaged across these routes on their own, a single provider reached 99.83% over the same window.
Daily status through the gateway, which serves each request from whichever route is healthy.
2 monitored providers serve Mistral Small 3.2 24B Instruct (2506).

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 Mistral Small 3.2 24B Instruct (2506) has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

Berget β€” SwedenπŸ‡ΈπŸ‡ͺ

Zero data retention is on by default on Pay-as-you-go β€” no action required. No training on customer data. EU; deposit available.

Zero data retention
On by default on Pay-as-you-go. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
None
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
Not applicable β€” data stays in EU

DeepInfra β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is on by default on Pay-as-you-go β€” no action required. No training on customer data. US; unknown; deposit available.

Zero data retention
On by default on Pay-as-you-go. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
None
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
unknown

Get started

Call Mistral Small 3.2 24B Instruct (2506) 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: "berget/mistralai/Mistral-Small-3.2-24B-Instruct-2506",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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