Ministral 3 14B

ministral-3-14b 🇮🇹 Italy

Mistral AI's model, from France (December 2025): it reads images, can call your functions and writes well in Italian, French and German. Small and quick: a good alternative to Gemma. Context of 262,144 tokens, weights as released by Mistral AI. Runs on NVIDIA L40S, in Italy. In service.

At a glance

Publisher	Mistral AI
Architecture	Dense, 14 billion parameters
Licence	Apache 2.0
Precision	As released by Mistral AI
Context	262,144 tokens, prompt and answer together
Longest answer	`max_tokens` up to 32,768
Reads	Text and images
Calls tools	Yes
JSON schema	Yes
Reasons	No, as served: it answers straight away.
Runs in	🇮🇹 Italy
Status	Loaded: the first request answers without a start-up wait. Live state on Status.

Use it

curl https://api.ai.itsincom.org/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ministral-3-14b",
    "messages": [{"role": "user", "content": "Summarise in one line: the meeting moves to Thursday at 10."}]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.ai.itsincom.org/v1", api_key=os.environ["API_KEY"])
answer = client.chat.completions.create(
    model="ministral-3-14b",
    messages=[{"role": "user", "content": "Summarise in one line: the meeting moves to Thursday at 10."}],
)
print(answer.choices[0].message.content)

More in Quickstart and Chat completions.

Limits

Prompt and answer together stay within 262,144 tokens; beyond that the engine refuses the request with a 400 that says so.
A request goes only to the zones your key allows; if the model has no machine there now, a 503 names the zones. It is never sent elsewhere.