Model Comparison
GPT-3.5 Turbo vs Codestral-22B
Codestral-22B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-3.5 Turbo 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-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).
License
Usage and distribution terms
GPT-3.5 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-3.5 Turbo was released on 2023-03-21, while Codestral-22B was released on 2024-05-29.
Codestral-22B is 15 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.2 years ago
May 29, 2024
2.0 years ago
1.2yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Codestral-22B's cutoff date is not specified.
We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Codestral-22B's cutoff date.
Sep 2021
—
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
Detailed Comparison
| Feature |
|---|
FAQ
Common questions about GPT-3.5 Turbo vs Codestral-22B.