Mistral Small 3.2

Reliable, Fast Open AI for Modern Automation

What is Mistral Small 3.2?

Mistral Small 3.2 is a 24-billion parameter, open-source language model designed for speed, precision, and robust automation. Building on version 3.1, it offers improved instruction-following accuracy, stronger function calling for integration with tools and APIs, and a significant reduction in repetitive or infinite output. Mistral Small 3.2 is ideal for enterprise, research, and agentic AI workflows demanding reliability and real-time responses on affordable hardware.

Key Features of Mistral Small 3.2

Enhanced Instruction Following

Shows measurable improvement in executing detailed prompts and user instructions, reducing the need for manual post-processing.

Reduced Repetition & Output Stability

Delivers concise, relevant, and bounded responses, virtually halving infinite generation issues from previous versions.

Strengthened Function Calling

Improved function call generation with accurate arguments and edge-case handling for smooth API and tool integration.

Multimodal & Multilingual

Processes both text and images and supports 21+ languages, offering wider coverage for document analysis and digital assistants.

Open & Efficient

Apache 2.0 licensed, supports local and cloud deployment on desktops, edge devices, and scalable cloud resources with fast token generation and low inference cost.

Use Cases of Mistral Small 3.2

Automates contract review and regulatory reporting by extracting accurate clauses and metrics with minimal redundancy.

Summarizes clinical notes or medical records and runs structured searches in scientific literature for drug discovery.

Detects and reports fraud, analyzes financial documents, and extracts insights from large volumes of reports or statements.

Delivers tailored, non-repetitive answers, routes tickets, and executes multi-step tools/actions for better user engagement.

Automates multi-step business tasks, powers agents in sales, IT support, lead qualification, and real-time data extraction.

Mistral Small 3.2

vs

Other Leading Models

Feature	Mistral Small 3.2	Small 3.1	GPT-4o Mini	Claude 3.7
Instruction Accuracy	84.78%	82.75%	~85%	~85%
Function Calling	Enhanced	Standard	Standard	Standard
Repetition Rate	1.29%	2.11%	Lower	Lower
Multimodal	Text, image	Text, image	Text, image	Text, image
Open License	Apache 2.0	Apache 2.0	No	No
Speed (tokens/s)	150+	150	~85	~80