Model Comparison
GPT-4 Turbo vs Codestral-22B
GPT-4 Turbo significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo outperforms in 1 benchmarks (HumanEval), while Codestral-22B is better at 0 benchmarks.
GPT-4 Turbo 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 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).
License
Usage and distribution terms
GPT-4 Turbo 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 Turbo was released on 2024-04-09, while Codestral-22B was released on 2024-05-29.
Codestral-22B is 2 months newer than GPT-4 Turbo.
Apr 9, 2024
2.0 years ago
May 29, 2024
1.8 years ago
1mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Codestral-22B's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Codestral-22B's cutoff date.
Dec 2023
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Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Codestral-22B
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about GPT-4 Turbo vs Codestral-22B