Mistral Small 3.1

Tool use

Mistral's efficient 24B model optimized for simple tasks with low latency and 128K context. Great for classification, customer support, text generation, and multimodal tasks.

Model id — paste this in your code

mistralai/mistral-small-3.1

Pricing · per 1M tokens

Show prices in

Input105 DA$0.421

Output166 DA$0.666

Cached input105 DA$0.421

Context window128KMax output: 32K

Capabilities

Tool use — Can call your functions / tools

Estimate your cost

Input tokens Output tokens Requests

Estimated cost

Use this model

Create an account, top up in dinars and call it with your key:

from openai import OpenAI

client = OpenAI(
    base_url="https://dzrouter.com/v1",
    api_key="sk-dz-…",
)

reply = client.chat.completions.create(
    model="mistralai/mistral-small-3.1",
    messages=[{"role": "user", "content": "Salam!"}],
)
print(reply.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://dzrouter.com/v1",
  apiKey: process.env.DZROUTER_API_KEY,
});

const reply = await client.chat.completions.create({
  model: "mistralai/mistral-small-3.1",
  messages: [{ role: "user", content: "Salam!" }],
});
console.log(reply.choices[0].message.content);

curl https://dzrouter.com/v1/chat/completions \
  -H "Authorization: Bearer $DZROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mistral-small-3.1",
    "messages": [{"role": "user", "content": "Salam!"}],
    "stream": true
  }'

from anthropic import Anthropic

client = Anthropic(
    base_url="https://dzrouter.com",
    api_key="sk-dz-…",
)

msg = client.messages.create(
    model="mistralai/mistral-small-3.1",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Salam!"}],
)
print(msg.content[0].text)

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