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DeepSeek R1 Distill Qwen 14B vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 3.1% 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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Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
1 month newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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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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QwQ-32B
Average Score:74.7%(+3.1%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
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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QwQ-32B
0 providers
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DeepSeek R1 Distill Qwen 14B
Avg Score:71.5%
Providers:0
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QwQ-32B
Avg Score:74.7%(+3.1%)
Providers:0