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Mistral: Mistral Small 3.2 24B

mistralai chat
mistralai/mistral-small-3.2-24b-instruct

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...

Try in Playground API Docs
At a glance

Model specifications

The most important technical and pricing details in one place.

Context window
256K tokens
Model type
Chat
Input / 1M
$0.09
Output / 1M
$0.25

Providers and routing order

Gateway-compatible routes are tried from the lowest cost; other sources are shown for catalog reference.

1 source
1
OpenRouterGateway activemistralai/mistral-small-3.2-24b-instruct · Updated 05.10.2026 20:17
Input$0.0938 / 1M Output$0.2500 / 1M Cache$0.0000 / 1M Media-
Live telemetry

Usage and performance

Current request, token, and latency data across TamgaStudio.

Usage Example

Call Mistral: Mistral Small 3.2 24B with a single request through the OpenAI-compatible TamgaStudio API. Create your API key from the API Keys section in your dashboard.

curl https://api.tamga.studio/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer tl-sk-XXXXXX" \
  -d '{"model": "mistralai/mistral-small-3.2-24b-instruct", "messages": [{"role": "user", "content": "Hello!"}]}'
import requests

resp = requests.post(
    "https://api.tamga.studio/v1/chat/completions",
    headers={"Authorization": "Bearer tl-sk-XXXXXX"},
    json={
        "model": "mistralai/mistral-small-3.2-24b-instruct",
        "messages": [{"role": "user", "content": "Hello!"}],
    },
)
print(resp.json()["choices"][0]["message"]["content"])
<?php
$ch = curl_init('https://api.tamga.studio/v1/chat/completions');
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => [
        'Authorization: Bearer tl-sk-XXXXXX',
        'Content-Type: application/json',
    ],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'mistralai/mistral-small-3.2-24b-instruct',
        'messages' => [['role' => 'user', 'content' => 'Hello!']],
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
echo curl_exec($ch);

Frequently Asked Questions

Common questions about this model.

What is Mistral: Mistral Small 3.2 24B?
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on... It is accessible through a single OpenAI-compatible API via TamgaStudio.
How much does Mistral: Mistral Small 3.2 24B cost?
Pricing is $0.09 per 1M input tokens and $0.25 per 1M output tokens. Billing is credit-based: you only pay for what you use.
What is the context length of Mistral: Mistral Small 3.2 24B?
Mistral: Mistral Small 3.2 24B supports a context of up to 256,000 tokens in one request.
Can I use Mistral: Mistral Small 3.2 24B with the OpenAI SDK?
Yes. TamgaStudio exposes all models through an OpenAI-compatible endpoint: https://api.tamga.studio/v1/chat/completions. Just swap the base URL and API key in your existing OpenAI code.
How do I get an API key?
After signing in, create a key from the "API Keys" section of your dashboard. The key is shown only once and is stored as a SHA-256 hash.