Mistral-Small-3.1-24B-Instruct-2503 Overview

Mistral-Small-3.1-24B-Instruct-2503 is a 24 billion parameter instruction-finetuned model developed by Mistral AI. It significantly enhances its predecessor by integrating state-of-the-art vision understanding and extending its long context capabilities up to 128k tokens without compromising text performance. The model is designed to be exceptionally "knowledge-dense" and can be deployed locally, fitting within a single RTX 4090 or a 32GB RAM MacBook once quantized.

Key Capabilities

Vision: Analyzes images and provides insights based on visual content alongside text.
Multilingual: Supports dozens of languages including English, French, German, Japanese, Chinese, and Arabic.
Agent-Centric: Features best-in-class agentic capabilities with native function calling and JSON outputting.
Advanced Reasoning: Offers state-of-the-art conversational and reasoning abilities.
Extended Context: Utilizes a 128k context window for long document understanding.
System Prompt Adherence: Maintains strong adherence and support for system prompts.

Performance Highlights

In instruction evaluations, Mistral-Small-3.1-24B-Instruct-2503 demonstrates competitive performance across various benchmarks. For text tasks, it achieves 80.62% on MMLU and 88.41% on HumanEval. In vision tasks, it scores 64.00% on MMMU and 94.08% on DocVQA. For multilingual understanding, it averages 71.18% across different language groups. Its long context performance is notable with 93.96% on RULER 32K.

Good For

Fast-response conversational agents.
Low-latency function calling and tool use.
Local inference for sensitive data or hobbyist projects.
Programming and mathematical reasoning tasks.
Long document understanding and visual analysis.