Model Comparison
GPT-4 vs Codestral-22B
Codestral-22B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 0 benchmarks, while Codestral-22B is better at 1 benchmark (HumanEval).
Codestral-22B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GPT-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
GPT-4 supports multimodal inputs, whereas Codestral-22B does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
Codestral-22B
License
Usage and distribution terms
GPT-4 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
GPT-4 was released on 2023-06-13, while Codestral-22B was released on 2024-05-29.
Codestral-22B is 12 months newer than GPT-4.
Jun 13, 2023
2.9 years ago
May 29, 2024
2.0 years ago
11mo newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Codestral-22B's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Codestral-22B's cutoff date.
Dec 2022
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Outputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
Codestral-22B
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about GPT-4 vs Codestral-22B.