Mistral Small 3

Mistral AI has introduced Mistral Small 3, a fast and efficient language model with 24 billion parameters. It is designed to be affordable and use fewer resources, making it an excellent choice for both developers and organizations.

Key Features

Mistral Small 3 performs impressively. It scores over 81% accuracy on the MMLU benchmark and can process 150 tokens per second. Even though it is smaller, it competes well with larger models like Llama 3.3 70B and Qwen 32B. Notably, it handles tasks three times faster than Llama 3.3 70B on the same hardware.

Benefits

The model''s efficiency and versatility make it great for various real-world uses. It is perfect for quick response conversational assistance, low-latency function calling, and domain-specific fine-tuning. It can also run on devices with limited computational resources, making it suitable for handling sensitive information.

Use Cases

Mistral Small 3 is useful for many applications.

Fast-Response Conversational Assistance: Great for virtual assistants and chatbots where quick, accurate responses are essential.

Low-Latency Function Calling: Ideal for automated workflows that need rapid function execution.

Domain-Specific Fine-Tuning: Can be customized for specialized fields like legal advice, medical diagnostics, and technical support.

Local Inference: Runs on devices with limited resources, such as a single RTX 4090 or a MacBook with 32GB RAM.

Cost/Price

The article does not provide specific cost or price information for Mistral Small 3.

Funding

The article does not provide specific funding details for Mistral Small 3.

Reviews/Testimonials

Mistral Small 3 is praised for its efficiency and versatility across various industries. It is used in financial services for fraud detection, in healthcare for patient triaging, and in robotics for real-time command and control. Customers also appreciate its integration into chatbots for instant, context-aware responses and its use in sentiment analysis for extracting user insights.