Mistral AI launches open multimodal model Mistral-Small-3.2-24B
Mistral AI has launched Mistral-Small-3.2-24B, an open multimodal model with 24 billion parameters, optimised for advanced enterprise applications and tool-calling.
What happened?
Mistral AI has launched Mistral-Small-3.2-24B, an open multimodal AI model with 24 billion parameters. The model demonstrates significant improvements in tool-calling, instruction-following, and the parallel processing of text and images. In evaluations via the LobeHub testing platform, the model showed stable handling of parallel function calls and complex multi-step requests.
Key facts
| Modellnamn | Mistral-Small-3.2-24B |
|---|---|
| Lanseringsdatum | 24 september 2026 |
| Instruktionsföljning | 84,78 % precision |
| Wildbench v2-resultat | 65,33 % |
Why it matters
The launch marks a step forward for enterprise-grade open multimodal models. By offering improved precision in instruction-following and automated tool-selection logic, the model narrows the gap with leading closed-source models while allowing organisations full control over their own infrastructure.
Who is affected?
The model is primarily aimed at companies and developers looking to deploy their own AI systems rather than relying on closed cloud services. Developers building advanced agent-based systems and multimodal tools can use the model to streamline automated workflows.
Impact on the EU
Mistral AI is based in France and develops its models in accordance with European data protection regulations, such as the GDPR and the EU AI Act. This makes Mistral-Small-3.2-24B particularly attractive to European organisations with stringent requirements for data localisation and regulatory compliance.
What else you should know
According to published data, the model's accuracy in instruction-following has increased by two percentage points compared to its predecessor. In the independent Wildbench v2 evaluation, the model's score rose from 55.6 percent to 65.33 percent, demonstrating significant progress in handling complex and multi-step user queries.
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