Ministral 3 3B 2512

by Mistral

Zero data retention
mistralai/ministral-3b-2512
Input
$0.14/1M tokens
Output
$0.14/1M tokens
Context
131Ktokens
Max output
105Ktokens
Knows to
-
Released
2 Dec 2025

About

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

Pricing

Input$0.14per 1M prompt tokens
Output$0.14per 1M generated tokens, reasoning included
Cached input$0.01per 1M tokens read back from the prompt cache

What a request costs

Typical requestEachPer 1,000
Short chat reply1,500 in · 400 out$0.0003$0.266
Question over a long document40,000 in · 800 out$0.0057$5.71
Agent tool step20,000 in · 1,200 out$0.0030$2.97

At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.

Benchmarks

Intelligence4.8#282 of 285
Coding4.8#162 of 163
Agentic0.8#118 of 127

Head-to-head rankings

  1. #1163DModel arenaElo 96336% wins
  2. #120CodeModel arenaElo 101237% wins
  3. #122WebsitesModel arenaElo 102938% wins
  4. #126Game devModel arenaElo 95233% wins

Scores from Artificial Analysis; bars are scaled to the best model on our list. Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.

Call it from code

OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set model. Keys are created in the app under Settings.

cURL
curl https://api.privateer.pro/v1/chat/completions \
  -H "Authorization: Bearer $PRIVATEER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/ministral-3b-2512",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'
Python
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.privateer.pro/v1",
    api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
    model="mistralai/ministral-3b-2512",
    messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)
JavaScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.privateer.pro/v1",
  apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
  model: "mistralai/ministral-3b-2512",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Parameters this model accepts

frequency_penaltymax_tokenspresence_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p

API reference → · How API billing works →

Prices are USD at the developer-API rate, as of 16 Oct 2026, rebuilt daily from the providers’ live catalogues. ← All models