Codestral-22B vs o4-mini Comparison
Comparing Codestral-22B and o4-mini across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B and o4-mini don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only o4-mini specifies input context (200,000 tokens). Only o4-mini specifies output context (100,000 tokens).
Input Capabilities
Supported data types and modalities
o4-mini supports multimodal inputs, whereas Codestral-22B does not.
o4-mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
o4-mini
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while o4-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while o4-mini was released on 2025-04-16.
o4-mini is 11 months newer than Codestral-22B.
May 29, 2024
1.8 years ago
Apr 16, 2025
11 months ago
10mo newerKnowledge Cutoff
When training data ends
o4-mini has a documented knowledge cutoff of 2024-05-31, while Codestral-22B's cutoff date is not specified.
We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without Codestral-22B's cutoff date.
—
May 2024
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
o4-mini
View detailsOpenAI
Codestral-22Bo4-miniDetailed Comparison
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