+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 14B vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
+
+
+
+
Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
4 months newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Magistral Small 2506
Mistral AI
2025-06-10
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 3 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 14B
Average Score:64.1%(+0.7%)
+
+
+
+
Magistral Small 2506
Average Score:63.4%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 14B
0 providers
+
+
+
+
Magistral Small 2506
0 providers
+
+
+
+
DeepSeek R1 Distill Qwen 14B
Avg Score:64.1%(+0.7%)
Providers:0
+
+
+
+
Magistral Small 2506
Avg Score:63.4%
Providers:0