Model Comparison
Codestral-22B vs GPT-4 Turbo
GPT-4 Turbo significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B outperforms in 0 benchmarks, while GPT-4 Turbo is better at 1 benchmark (HumanEval).
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
Codestral-22B is licensed under MNPL-0.1, while GPT-4 Turbo 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 Turbo was released on 2024-04-09.
Codestral-22B is 2 months newer than GPT-4 Turbo.
May 29, 2024
1.8 years ago
1mo newerApr 9, 2024
2.0 years ago
Knowledge 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
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
GPT-4 Turbo
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Codestral-22B vs GPT-4 Turbo