Magistral Medium
Mistral AI
At a glance
- Price per 1M tokens (input)
- $2.00
- Price per 1M tokens (output)
- $5.00
- Context
- 40,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The Magistral Medium model by Mistral AI is designed for businesses and organizations that require a reliable and efficient language model for various tasks. This model suits tasks that involve tool calling, which refers to the ability of the model to call external functions or tools to perform specific tasks, and step-by-step reasoning, which enables the model to break down complex problems into manageable steps. The vendor's approach distinguishes itself by providing a robust and flexible framework that allows for seamless integration with existing systems and workflows. This model is particularly useful for applications that require the ability to reason and solve problems in a logical and methodical manner. By leveraging the capabilities of the Magistral Medium model, businesses can streamline their operations and improve their overall efficiency.
Specifications & pricing
| Input (per 1M tokens) | $2.00 |
|---|---|
| Output (per 1M tokens) | $5.00 |
| Context window | 40,000 tokens |
| Max output | 40,000 tokens |
| Capabilities | tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Mistral AI pricing.
What Magistral Medium would cost on your workload — run it through the cost calculator →
Where to try Magistral Medium 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 the Magistral Medium model good for+
The Magistral Medium model is well-suited for tasks that involve complex problem-solving and require the ability to reason and think logically, such as data analysis and processing
How do I get started with the Magistral Medium model+
To get started with the Magistral Medium model, users can begin by reviewing the documentation and guidelines provided by the vendor, and then experiment with the model using sample inputs and scenarios
How does the Magistral Medium model differ from other models in the line+
The Magistral Medium model differs from other models in the line in terms of its unique combination of tool calling and step-by-step reasoning capabilities, which set it apart from other models that may specialize in different areas
What are the limitations of the Magistral Medium model+
The limitations of the Magistral Medium model include its potential difficulty in handling highly ambiguous or uncertain inputs, and its reliance on the quality and accuracy of the external tools and functions it calls upon
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