Mistral AI, a prominent player in artificial intelligence, has just unveiled a revolutionary innovation. Small 3, an ultra-lightweight model with remarkable performance, positions itself as a direct competitor to DeepSeek, the tech giant. This model, equipped with 24 billion optimized parameters, promises faster responses on standard infrastructures.
*Mistral aims for a perfect balance between lightness and power*, thereby redefining the standards of open-source models. *This new local player establishes itself as a strategic alternative against American and Chinese giants*. Small 3 is designed to excel in environments where latency must be minimized, enhancing the competitiveness of the French solution.
Mistral AI recently launched Small 3, a model that aims to be revolutionary in the field of artificial intelligence.
/ Published on January 31, 2025, at 11:13 AM
Introduction to Small 3
The French company Mistral AI has launched Small 3, an optimized model, lightly structured and equipped with 24 billion parameters. This open-source model positions itself as an effective response to the competition from similar models.
The performance displayed by Small 3 makes it competitive against larger models such as Meta’s Llama 3.3 70B and Alibaba’s Qwen-2.5 32B. Its technical design aims to reduce latency while maintaining optimal efficiency.
An open and local alternative
In the face of the rapid emergence of DeepSeek, Mistral AI has not hesitated to strengthen its presence in the open-source model market. Small 3 has been meticulously designed to offer both rapid and relevant usage despite its compactness.
Test results have shown that this model often surpasses names like Gemma 2, Qwen 2.5, or even GPT-4o-mini, thus demonstrating remarkable performance in various application areas.
Technical capabilities
One of the major advantages of Mistral Small 3 lies in its ability to operate on standard machines, such as a PC equipped with an RTX 4090 or a Mac Book with 32GB of RAM. This makes it accessible to a wider audience, thereby facilitating its adoption.
Mistral AI recommends using Small 3 in environments where speed and accuracy are paramount. The reduced latency of the model makes it an ideal tool for applications sensitive to response times.
Mistral’s strategy against DeepSeek
Mistral AI emphasizes speed, efficiency, and low resource consumption. This approach defines the launch of Small 3, a model determined to compete with American and Chinese players in generative AI. The company’s ambition is thus bold.
According to the company’s statements, “Mistral Small 3 complements large open-source reasoning models”, aiming to establish solid foundations for advanced reasoning capabilities. Future models with enhanced capabilities are also expected to emerge soon.
Frequently asked questions about Mistral AI and Small 3
What are the main features of Mistral AI’s Small 3 model?
Small 3 is an open-source model featuring 24 billion parameters. It is optimized for latency, making it fast and efficient in various applications while using fewer resources.
How does Small 3 compare to other AI models like DeepSeek or Llama 3?
Small 3 proves competitive against models such as Llama 3.3 70B and DeepSeek, particularly due to its optimized performance that surpasses several existing smaller models.
Is it possible to use Small 3 on standard machines?
Yes, Small 3 can operate on relatively standard configurations, such as a PC equipped with an Nvidia RTX 4090 graphics card or a Mac Book with 32GB of RAM, allowing for local use without the need for high-end hardware.
What are the advantages of choosing an open-source model like Small 3?
Choosing an open-source model like Small 3 allows users to customize and adapt the model according to their specific needs, while promoting transparency and collaboration within the technology community.
In which areas does Small 3 particularly excel?
Small 3 achieves excellent results in many domains, including text generation, virtual assistance, and other AI applications, sometimes outperforming larger models like GPT-4o-mini.
What are Mistral AI’s usage recommendations for Small 3?
Mistral AI recommends using Small 3 for scenarios requiring rapid and accurate responses, thereby optimizing efficiency while maintaining low resource consumption.
What are Mistral AI’s future projects regarding AI models?
Mistral AI plans to launch new models, both small and large, with enhanced reasoning capabilities in the near future, to continue strengthening its position in the AI market.
