Model Comparison
Codestral-22B vs Magistral Medium
Comparing Codestral-22B and Magistral Medium across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B and Magistral Medium don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Magistral Medium has 1.8B more parameters than Codestral-22B, making it 8.1% larger.
Input Capabilities
Supported data types and modalities
Magistral Medium supports multimodal inputs, whereas Codestral-22B does not.
Magistral Medium can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
Magistral Medium
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Magistral Medium uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Magistral Medium was released on 2025-06-10.
Magistral Medium is 13 months newer than Codestral-22B.
May 29, 2024
1.9 years ago
Jun 10, 2025
11 months ago
1.0yr newerKnowledge Cutoff
When training data ends
Magistral Medium has a documented knowledge cutoff of 2025-06-01, while Codestral-22B's cutoff date is not specified.
We can confirm Magistral Medium's training data extends to 2025-06-01, but cannot make a direct comparison without Codestral-22B's cutoff date.
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Jun 2025
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
No standout differentiators in the data we have for this pair.
Magistral Medium
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Codestral-22B vs Magistral Medium.