Model Comparison
Devstral Medium vs Qwen2.5 14B Instruct
Comparing Devstral Medium and Qwen2.5 14B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Medium and Qwen2.5 14B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only Devstral Medium specifies input context (128,000 tokens). Only Devstral Medium specifies output context (128,000 tokens).
License
Usage and distribution terms
Devstral Medium is licensed under a proprietary license, 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Devstral Medium was released on 2025-07-10, while Qwen2.5 14B Instruct was released on 2024-09-19.
Devstral Medium is 10 months newer than Qwen2.5 14B Instruct.
Jul 10, 2025
10 months ago
9mo newerSep 19, 2024
1.7 years ago
Knowledge 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
Devstral Medium
View detailsMistral AI
Qwen2.5 14B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Devstral Medium vs Qwen2.5 14B Instruct.