Name: Ministral 3 3B 2512 API
Brand: Mistral AI

Overview

What is Ministral 3 3B 2512 API?

Ministral 3 3B 2512 is available through AIMLAPI.

Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 131,072 tokens / Max output: —
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

Ministral 3 3B 2512 API Pricing
- Input: $0.13 / 1M tokens
- Output: $0.13 / 1M tokens

Where to Use Ministral 3 3B 2512

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.

Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

Uptime (7d): 100%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

This model is documented as suited to chat and instruction-based use cases, including dialogue and content generation. It is also documented for image captioning and visual analysis because it supports vision capabilities. It is documented for text classification and data extraction tasks. It is documented for real-time efficient translation and other lightweight, low-resource edge deployments.

How to use Ministral 3 3B 2512 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to mistralai/ministral-3b-2512.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "mistralai/ministral-3b-2512",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "mistralai/ministral-3b-2512",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"mistralai/ministral-3b-2512","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.