Model Comparison
DeepSeek R1 Distill Qwen 14B vs Magistral Medium
DeepSeek R1 Distill Qwen 14B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while Magistral Medium is better at 1 benchmark (GPQA).
DeepSeek R1 Distill Qwen 14B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Magistral Medium has 9.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 62.2% larger.
Input Capabilities
Supported data types and modalities
Magistral Medium supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.
Magistral Medium can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 14B
Magistral Medium
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Magistral Medium uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Magistral Medium was released on 2025-06-10.
Magistral Medium is 5 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.3 years ago
Jun 10, 2025
11 months ago
4mo newerKnowledge Cutoff
When training data ends
Magistral Medium has a documented knowledge cutoff of 2025-06-01, while DeepSeek R1 Distill Qwen 14B's cutoff date is not specified.
We can confirm Magistral Medium's training data extends to 2025-06-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 14B's cutoff date.
—
Jun 2025
Outputs Comparison
Key Takeaways
Magistral Medium
View detailsMistral AI
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about DeepSeek R1 Distill Qwen 14B vs Magistral Medium.