GLM-5.3

RaisonnementOutils

Z-AI's flagship reasoning model on a 1M-token context. Reasoning is always on, with low, high, and max effort levels, and strong coding and tool-calling.

Identifiant du modèle — à coller dans votre code

z-ai/glm-5.3

Tarifs · par million de tokens

1 Pulse = 1 DA

Entrée125 Pulses= 125 DA

Sortie416 Pulses= 416 DA

Entrée en cache20,8 Pulses= 20,8 DA

Fenêtre de contexte1.05MSortie max.: 262K

Capacités

Raisonnement — Réfléchit étape par étape avant de répondre
Outils — Peut appeler vos fonctions / outils

Estimez votre coût

Tokens en entrée Tokens en sortie Requêtes

Coût estimé

Utiliser ce modèle

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

from openai import OpenAI

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

reply = client.chat.completions.create(
    model="z-ai/glm-5.3",
    messages=[{"role": "user", "content": "Salam!"}],
)
print(reply.choices[0].message.content)

import OpenAI from "openai";

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

const reply = await client.chat.completions.create({
  model: "z-ai/glm-5.3",
  messages: [{ role: "user", content: "Salam!" }],
});
console.log(reply.choices[0].message.content);

curl https://dztokens.com/v1/chat/completions \
  -H "Authorization: Bearer $DZTOKENS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-5.3",
    "messages": [{"role": "user", "content": "Salam!"}],
    "stream": true
  }'

from anthropic import Anthropic

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

msg = client.messages.create(
    model="z-ai/glm-5.3",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Salam!"}],
)
print(msg.content[0].text)

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