Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503), this Mistral Small generation adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance.

With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks. This model is an instruction-finetuned version of: Mistral-Small-3.1-24B-Base-2503.

Small-3.2 improves in the following categories:

• Instruction following: Small-3.2 is better at following precise instructions
• Repetition errors: Small-3.2 produces less infinite generations or repetitive answers
• Function calling: Small-3.2's function calling template is more robust.

Key Features

• Vision: Vision capabilities enable the model to analyze images and provide insights based on visual content in addition to text.

• Multilingual: Supports dozens of languages, including English, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Malay, Nepali, Polish, Portuguese, Romanian, Russian, Serbian, Spanish, Swedish, Turkish, Ukrainian, Vietnamese, Arabic, Bengali, Chinese, Farsi.

• Agent-Centric: Offers best-in-class agentic capabilities with native function calling and JSON outputting.

• Advanced Reasoning: State-of-the-art conversational and reasoning capabilities.

• Apache 2.0 License: Open license allowing usage and modification for both commercial and non-commercial purposes.

• Context Window: A 128k context window.

• System Prompt: Maintains strong adherence and support for system prompts.

• Tokenizer: Utilizes a Tekken tokenizer with a 131k vocabulary size.

Benchmark Results

MistralAI compares Mistral-Small-3.2-24B to Mistral-Small-3.1-24B-Instruct-2503. For more comparison against other models of similar size, please check Mistral-Small-3.1's Benchmarks'

Instruction Following / Chat / Tone

Model	Wildbench v2	Arena Hard v2	IF (Internal; accuracy)
Small 3.1 24B Instruct	55.6%	19.56%	82.75%
Small 3.2 24B Instruct	65.33%	43.1%	84.78%