Mistral Small 3

About Mistral Small 3

Mistral Small 3 is an open-source large language model featuring 24 billion parameters. It offers a balanced combination of high performance and efficiency, making it suitable for various AI tasks without the need for synthetic training data.

Review

Mistral Small 3 stands out as a versatile AI model that delivers strong results while maintaining low latency. Its design allows users to deploy it locally on relatively modest hardware, making it accessible for developers and organizations interested in privacy-conscious and flexible AI applications.

Key Features

• 24 billion parameters with an 81% score on the MMLU benchmark
• Pre-trained and instructed version available under Apache 2.0 license
• Runs efficiently at 150 tokens per second with low latency
• Supports local deployment on devices like a single RTX 4090 GPU or a 32GB RAM MacBook (after quantization)
• Does not rely on synthetic data, providing a strong base for reasoning tasks

Pricing and Value

Mistral Small 3 is offered as an open-source model under the Apache 2.0 license, which means it can be used freely for both personal and commercial projects. This accessibility represents significant value for developers looking for a high-performing model without the costs associated with proprietary AI solutions. Its ability to run efficiently on consumer-grade hardware further enhances its cost-effectiveness.

Pros

• Open-source and free to use, encouraging wide adoption and customization
• Strong performance metrics comparable to larger models
• Efficient with low latency, suitable for real-time applications
• Local deployment options support data privacy and offline use
• Does not depend on synthetic data, which can improve reliability on reasoning tasks

Cons

• Requires quantization for optimal performance on limited hardware, which may add setup complexity
• While efficient, it still demands relatively powerful hardware for best results
• Documentation and community support might be less extensive compared to more established models

Mistral Small 3 is well suited for developers and organizations seeking a high-quality, open-source language model that balances performance and efficiency. It is particularly useful for those interested in local deployment and privacy-sensitive applications, as well as for creating specialized conversational agents or performing complex reasoning tasks.