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Mistral AI

Mistral Small 3.1

The efficiency champion: 24B parameters delivering 3x faster inference than larger models.

Generic Info

  • Publisher: Mistral AI
  • Release Date: January 2025 (3.0), March 2025 (3.1)
  • Parameters: 24B
  • Context Window: 128k tokens
  • License: Apache 2.0
  • Key Capabilities: Multimodal, Function Calling, Multilingual (11 languages)

Mistral Small 3.1 redefines efficiency in AI. Despite being a "small" model, it competes head-to-head with Llama 3.3 70B and Qwen 32B while running 3x faster. Its Apache 2.0 license and ability to run on a single RTX 4090 make it perfect for local deployment.

Hello World Guide

Use the official mistralai Python client or OpenAI-compatible API.

Python
from mistralai import Mistral

client = Mistral(api_key="YOUR_API_KEY")

response = client.chat.complete(
    model="mistral-small-latest",
    messages=[
        {
            "role": "user",
            "content": "Write a haiku about efficient AI models."
        }
    ]
)

print(response.choices[0].message.content)

Industry Usage

Edge Deployment

Runs efficiently on consumer GPUs (RTX 4090) or Macs with 32GB RAM, ideal for on-premise solutions.

Real-time Applications

150 tokens/second inference speed enables responsive chatbots and live assistance systems.

Document Processing

Multimodal capabilities (v3.1) support document verification, image analysis, and visual diagnostics.