Mistral AI revolutionizes the AI market with a compact model that outperforms larger systems in performance tests.
Mistral AI has unveiled Mistral Small 3.1, a remarkable new open-source language model that outperforms more powerful models such as Google’s Gemma 3 27B, OpenAI’s GPT-4o Mini and Anthropic’s Claude 3.5 Haiku in various benchmarks despite its comparatively small size of just 24 billion parameters. What makes the model special is its efficiency: it can be run on a single RTX 4090 GPU or a Mac with 32GB of RAM, making advanced AI applications accessible to a wider range of users.
The model is fully released under the Apache 2.0 license, making it freely available for development and customization. With its 128K context window, it enables the processing of long documents and offers an impressive speed of 150 tokens per second.
Mistral Small 3.1 is particularly characterized by its versatile capabilities. The model shows outstanding performance in the areas of mathematics and logical thinking, programming and code generation as well as in multimodal image understanding. The developers have applied sophisticated techniques to ensure the diversity of generated scenarios and academic topics.
The multimodal capabilities of the model represent an important advance. While previous versions were limited to text processing, Mistral Small 3.1 can now process both text and images, significantly expanding its range of applications. This combination makes the model particularly valuable for complex applications.
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Summary of the most important features:
Compact size: With 24 billion parameters runs on common hardware
High processing speed: 150 tokens per second
Large context window: 128K for processing long documents
Multimodal capabilities: Text and image processing
Open source licensing: Fully released under Apache 2.0
Superior performance: Outperforms larger models in benchmarks
Versatile application areas: From programming to visual analytics
