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DeepSeek R1 Distill Qwen 14B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 14B leads with 3.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
3 months newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:76.5%(+3.2%)
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Phi 4 Mini Reasoning
Average Score:73.3%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 14B
0 providers
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Phi 4 Mini Reasoning
0 providers
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DeepSeek R1 Distill Qwen 14B
Avg Score:76.5%(+3.2%)
Providers:0
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Phi 4 Mini Reasoning
Avg Score:73.3%
Providers:0