DeeperML

Mistral AI has launched Mistral Small 3.1, a new open-source AI model with 24 billion parameters, designed for high performance with lower computational needs. This model is optimized for speed and efficiency, and can operate smoothly on a single RTX 4090 or a Mac with 32GB RAM, making it ideal for on-device AI solutions. The release includes both pre-trained and instruction-tuned checkpoints, offering flexibility for developers to fine-tune the model for domain-specific applications.

Mistral Small 3.1 stands out for its remarkable efficiency, outperforming Google's Gemma 3 and OpenAI's GPT-4o Mini in text, vision, and multilingual benchmarks. It features an expanded 128K token context window allowing it to handle long-form reasoning and document analysis. The Apache 2.0 license ensures free use and modification, enabling developers to fine-tune the model for specific domains, including legal, healthcare, and customer service applications.

ImgSrc: the-decoder.com

References :

• Analytics Vidhya: Compares Mistral 3.1 vs Gemma 3, analyzing which is the better model.
• Maginative: Highlights Mistral Small 3.1 Outperforming Gemma 3 and GPT-4o Mini.
• venturebeat.com: Reports Mistral AI dropping a new open-source model that outperforms GPT-4o Mini with fraction of parameters.
• TestingCatalog: Presents Mistral Small 3, a 24B-parameter open-source AI model optimized for speed.

Classification:

• HashTags: #MistralAI #OpenSource #LLM
• Company: Mistral AI
• Target: AI developers
• Product: Mistral Small 3.1
• Feature: Open Source LLM
• Type: AI
• Severity: Informative