Model Comparison
Codestral-22B vs o1
o1 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B outperforms in 0 benchmarks, while o1 is better at 1 benchmark (HumanEval).
o1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while o1 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 o1 was released on 2024-12-17.
o1 is 7 months newer than Codestral-22B.
May 29, 2024
2.0 years ago
Dec 17, 2024
1.4 years ago
6mo newerKnowledge 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
o1
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Codestral-22B vs o1.