mistralai/mistral-nemoMistral
mistralai/mistral-nemo
Entrée5,7 DA
Sortie9 DA
Contexte131K
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.
mistralai/mistral-small-3.2-24b-instructCréez 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-3.2-24b-instruct",
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-3.2-24b-instruct",
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-3.2-24b-instruct",
"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-3.2-24b-instruct",
max_tokens=1024,
messages=[{"role": "user", "content": "Salam!"}],
)
print(msg.content[0].text)mistralai/mistral-nemo
mistralai/mistral-small-2603
mistralai/mistral-medium-3-5
mistralai/mistral-large-2512
mistralai/mistral-small-24b-instruct-2501
mistralai/ministral-8b-2512
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