Mistral Small 3.2.2506
Mistral AI
At a glance
- Price per 1M tokens (input)
- $0.06
- Price per 1M tokens (output)
- $0.18
- Context
- 131,072 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The Mistral Small 3.2.2506 model is designed for businesses and organizations that require advanced image understanding and automation capabilities. This model is particularly suited for tasks that involve analyzing and interpreting visual data, as well as automating workflows through tool calling, which refers to the ability to invoke external functions or services to perform specific tasks. The vendor's approach to developing this model focuses on providing a robust and flexible framework that can be easily integrated into existing systems and workflows. By leveraging this model, businesses can streamline their operations, improve efficiency, and gain valuable insights from visual data. The model's capabilities make it an attractive solution for a wide range of applications, from quality control and surveillance to medical imaging and research.
Specifications & pricing
| Input (per 1M tokens) | $0.06 |
|---|---|
| Output (per 1M tokens) | $0.18 |
| Context window | 131,072 tokens |
| Max output | 131,072 tokens |
| Capabilities | images, tool calling |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Mistral AI pricing.
What Mistral Small 3.2.2506 would cost on your workload — run it through the cost calculator →
Where to try Mistral Small 3.2.2506 for free
- Mistral AI offers a free chat — Le Chat (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
Frequently asked questions
What is this model good for+
This model is well-suited for tasks that involve image understanding and automation, such as analyzing visual data, automating workflows, and integrating with external systems and services
How do I get started with this model+
To get started, users can begin by reviewing the model's documentation and tutorials, which provide guidance on how to integrate the model into their existing workflows and systems
How does this model differ from other models in the line+
This model differs from other models in the line in terms of its specific capabilities and focus on image understanding and tool calling, which sets it apart from models that may have broader or more general capabilities
What are the limitations of this model+
The limitations of this model include its potential difficulty in handling certain types of visual data or edge cases, as well as its dependence on the quality and accuracy of the input data
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