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DeepSeek R1 Distill Qwen 14B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 14B leads with 28.7% higher average benchmark score. Overall, DeepSeek R1 Distill Qwen 14B is the stronger choice for coding tasks.
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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-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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%(+28.7%)
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Phi-3.5-mini-instruct
Average Score:30.4%
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-3.5-mini-instruct
1 providers
Azure
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DeepSeek R1 Distill Qwen 14B
Avg Score:59.1%(+28.7%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1