Model Comparison
Codestral-22B vs Qwen2.5 14B Instruct
Qwen2.5 14B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B outperforms in 0 benchmarks, while Qwen2.5 14B Instruct is better at 2 benchmarks (HumanEval, MBPP).
Qwen2.5 14B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Codestral-22B has 7.5B more parameters than Qwen2.5 14B Instruct, making it 51.0% larger.
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Qwen2.5 14B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Qwen2.5 14B Instruct was released on 2024-09-19.
Qwen2.5 14B Instruct is 4 months newer than Codestral-22B.
May 29, 2024
2.0 years ago
Sep 19, 2024
1.6 years ago
3mo 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
No standout differentiators in the data we have for this pair.
Qwen2.5 14B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Codestral-22B vs Qwen2.5 14B Instruct.