Model Comparison
Codestral-22B vs GPT-4o
GPT-4o significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B outperforms in 0 benchmarks, while GPT-4o is better at 1 benchmark (HumanEval).
GPT-4o significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas Codestral-22B does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
GPT-4o
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while GPT-4o 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 GPT-4o was released on 2024-05-13.
Codestral-22B is 1 month newer than GPT-4o.
May 29, 2024
1.9 years ago
2w newerMay 13, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
GPT-4o
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Codestral-22B vs GPT-4o.