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DeepSeek R1 Distill Qwen 14B vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
3 months newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Phi 4 Reasoning
Microsoft
2025-04-30
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Average performance across 3 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:64.1%
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Phi 4 Reasoning
Average Score:65.0%(+0.9%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Reasoning
0 providers
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DeepSeek R1 Distill Qwen 14B
Avg Score:64.1%
Providers:0
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Phi 4 Reasoning
Avg Score:65.0%(+0.9%)
Providers:0