Grok-3 vs Codestral-22B Comparison
Comparing Grok-3 and Codestral-22B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Grok-3 and Codestral-22B 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 Grok-3 specifies input context (128,000 tokens). Only Grok-3 specifies output context (8,000 tokens).
Input Capabilities
Supported data types and modalities
Grok-3 supports multimodal inputs, whereas Codestral-22B does not.
Grok-3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-3
Codestral-22B
License
Usage and distribution terms
Grok-3 is licensed under a proprietary license, while Codestral-22B uses MNPL-0.1.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MNPL-0.1
Open weights
Release Timeline
When each model was launched
Grok-3 was released on 2025-02-17, while Codestral-22B was released on 2024-05-29.
Grok-3 is 9 months newer than Codestral-22B.
Feb 17, 2025
1.1 years ago
8mo newerMay 29, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Grok-3 has a documented knowledge cutoff of 2024-11-17, while Codestral-22B's cutoff date is not specified.
We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without Codestral-22B's cutoff date.
Nov 2024
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Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
Grok-3Codestral-22BDetailed Comparison
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