Codestral-22B vs GPT-4 Comparison
Comparing Codestral-22B and GPT-4 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B outperforms in 1 benchmarks (HumanEval), while GPT-4 is better at 0 benchmarks.
Codestral-22B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
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.
Codestral-22B
GPT-4
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while GPT-4 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-4 was released on 2023-06-13.
Codestral-22B is 12 months newer than GPT-4.
May 29, 2024
1.8 years ago
11mo newerJun 13, 2023
2.8 years ago
Knowledge 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
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
GPT-4
View detailsOpenAI
Detailed Comparison
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