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DeepSeek R1 Distill Qwen 14B vs DeepSeek R1 Zero
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 5.0% 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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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
Launched on the same date
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Average performance across 4 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:71.5%
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DeepSeek R1 Zero
Average Score:76.5%(+5.0%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 14B
0 providers
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DeepSeek R1 Zero
0 providers
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DeepSeek R1 Distill Qwen 14B
Avg Score:71.5%
Providers:0
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DeepSeek R1 Zero
Avg Score:76.5%(+5.0%)
Providers:0