Ministral 3 14B 2512
Cloud API • Released 2024-01-01 • Last Verified 2026-08-06
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...
Plain English Summary (What is this model & who is it for?)
Think of Ministral 3 14B 2512 as a versatile AI assistant for writing, research, and brainstorming. It helps you draft emails, write essays, summarize long articles, and generate creative ideas on any topic.
💡 Real-World Use Cases & Practical Examples
🚀 How to Run & Use This Model (Step-by-Step Guide)
Simple setup instructions for everyday users and developers.
Sign Up & Get API Access
Create a account on Mistralai's official developer portal and obtain your API Key.
Try the Interactive Playground
Click the "Try Playground" button at the top of this page to test prompts instantly inside your web browser.
Send Your First Request
Use standard HTTP cURL requests or official Python/Node.js SDKs to send prompts to the endpoint.
Integrate Into Your App
Pass the model ID "openrouter-mistralai-ministral-14b-2512" into your code payload to power chatbots, workflows, and web applications.
Benchmark Performance
Hardware Requirements for Local Running
Requires 16GB-24GB VRAM for FP16 (INT4 GGUF requires 10GB VRAM).
Strengths
- •Cloud API Endpoint
- •Instant Inference
- •Zero Hardware Setup
Limitations & Weaknesses
- •Requires API Key & Per-Token Pricing
import openai
client = openai.OpenAI()
response = client.chat.completions.create(
model="openrouter-mistralai-ministral-14b-2512",
messages=[
{"role": "system", "content": "You are an expert AI assistant."},
{"role": "user", "content": "Explain quantum computing in 2 sentences."}
]
)
print(response.choices[0].message.content)Pricing Overview
Prices subject to provider tiers and volume discounts. Check documentation for current token rates.
Model Tags
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