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DeepSeek R1 Distill Qwen 1.5B vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 27.8% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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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 1.5B
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 1.5B
Average Score:46.8%
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QwQ-32B
Average Score:74.7%(+27.8%)
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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 1.5B
0 providers
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QwQ-32B
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:46.8%
Providers:0
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QwQ-32B
Avg Score:74.7%(+27.8%)
Providers:0