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.