OpenAI o4-mini

VisionRaisonnementOutils

OpenAI's latest small o-series reasoning model, optimized for fast, effective reasoning across coding, math, and visual tasks.

Identifiant du modèle — à coller dans votre code

o4-mini

Tarifs · par million de tokens

Afficher les prix en

Entrée330 DA$1.32

Sortie1 320 DA$5.28

Entrée en cache82,5 DA$0.33

Fenêtre de contexte200KSortie max.: 100K

Capacités

Vision — Comprend les images et documents envoyés
Raisonnement — Réfléchit étape par étape avant de répondre
Outils — Peut appeler vos fonctions / outils

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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="o4-mini",
    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: "o4-mini",
  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": "o4-mini",
    "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="o4-mini",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Salam!"}],
)
print(msg.content[0].text)

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