Mistral Small 3.1

Outils

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.

Identifiant du modèle — à coller dans votre code

mistralai/mistral-small-3.1

Tarifs · par million de tokens

Afficher les prix en

Entrée105 DA$0.421

Sortie166 DA$0.666

Entrée en cache105 DA$0.421

Fenêtre de contexte128KSortie max.: 32K

Capacités

Outils — Peut appeler vos fonctions / outils

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Tokens en entrée Tokens en sortie Requêtes

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Utiliser ce modèle

Créez un compte, rechargez en dinars et appelez-le avec votre clé :

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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