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DeepSeek R1 Distill Qwen 14B vs Phi 4
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 14B leads with 3.0% 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 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
1 month newer
Phi 4
Microsoft
2024-12-12
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:59.1%(+3.0%)
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Phi 4
Average Score:56.1%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
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
1 providers
DeepInfra
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DeepSeek R1 Distill Qwen 14B
Avg Score:59.1%(+3.0%)
Providers:0
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Phi 4
Avg Score:56.1%
Providers:1