Models / Chat / Mistral Small 3
Mistral Small 3
Chat
24B model rivaling GPT-4o mini, and larger models like Llama 3.3 70B. Ideal for chat use cases like customer support, translation and summarization.
Try our Mistral Small 3 API
API Usage
Endpoint
mistralai/Mistral-Small-24B-Instruct-2501
RUN INFERENCE
curl -X POST "https://api.together.xyz/v1/chat/completions" \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/Mistral-Small-24B-Instruct-2501",
"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
}'
JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="mistralai/Mistral-Small-24B-Instruct-2501",
messages=[{"role": "user", "content": "What are some fun things to do in New York?"}],
)
print(response.choices[0].message.content)
JSON RESPONSE
RUN INFERENCE
import Together from "together-ai";
const together = new Together();
const response = await together.chat.completions.create({
messages: [{"role": "user", "content": "What are some fun things to do in New York?"}],
model: "mistralai/Mistral-Small-24B-Instruct-2501",
});
console.log(response.choices[0].message.content)
JSON RESPONSE
Model Provider:
Mistral
Type:
Chat
Variant:
Small
Parameters:
24B
Deployment:
✔ Serverless ✔ Dedicated
Context length:
32,768
Pricing:
$0.80
Run in playground
Deploy model
Quickstart docs
Looking for production scale? Deploy on a dedicated endpoint
Deploy Mistral Small 3 on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
