Mistral AI Releases Mistral Small 3.1: Multimodal, Multilingual, 128K Context 129

What is Mistral Small 3.1?

Mistral Small 3.1 is an open-source multimodal, multilingual AI model recently released by Mistral AI. It supports a context window of up to 128k, achieves an inference speed of 150 tokens per second, and outperforms comparable models, making it suitable for a variety of scenarios including virtual assistants, document verification, and image processing.

Mistral Small 3.1 Versions

Two versions are available: Mistral Small 3.1 Base (pre-trained model) and Mistral Small 3.1 Instruct (instruction-tuned model).

Core Features of Mistral Small 3.1

Performance Improvements

• Mistral Small 3.1 is an upgraded version of Mistral Small 3, offering stronger text processing capabilities, multimodal understanding, and support for a context window of up to 128k tokens.

• In terms of inference speed, the model can reach 150 tokens per second, significantly outperforming comparable models (such as Gemma 3 and GPT-4o Mini).

Open Source and Flexibility

• The model is licensed under Apache 2.0 and is fully open source, suitable for a wide range of modern AI application scenarios, including text processing, multimodal input, multilingual support, and long-context management.

• It provides both a pre-trained base model (Base Model) and an instruction-tuned model (Instruct Model), offering developers extensive customization options.

Lightweight Design

• Mistral Small 3.1's lightweight design enables it to run on a single RTX 4090 graphics card or a Mac with 32GB of memory, making it ideal for applications requiring fast, accurate responses, such as virtual assistants.

Multimodal and Multilingual Support

• It supports multimodal input (text and images) and covers multiple languages, making it suitable for complex tasks such as document verification, image processing, quality inspection, and object detection in security systems.

Mistral Small 3.1 Application Scenarios

• Conversational Assistance: Ideal for virtual assistants and other applications requiring fast, accurate responses.

• Multimodal Tasks: Can be used for document verification, image processing, quality inspection, and object detection in security systems.

• Domain-Specific Fine-Tuning: Can be fine-tuned for fields such as legal consultation, medical diagnosis, and technical support.

Mistral AI Official Detailed Introduction:https://mistral.ai/news/mistral-small-3-1