Model Comparison
DeepSeek R1 Distill Qwen 14B vs QwQ-32B
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 2 benchmarks (AIME 2024, MATH-500), while QwQ-32B is better at 2 benchmarks (GPQA, LiveCodeBench).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
QwQ-32B has 17.7B more parameters than DeepSeek R1 Distill Qwen 14B, making it 119.6% larger.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while QwQ-32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while QwQ-32B was released on 2025-03-05.
QwQ-32B is 1 month newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.3 years ago
Mar 5, 2025
1.2 years ago
1mo newerKnowledge Cutoff
When training data ends
QwQ-32B has a documented knowledge cutoff of 2024-11-28, while DeepSeek R1 Distill Qwen 14B's cutoff date is not specified.
We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 14B's cutoff date.
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Nov 2024
Outputs Comparison
Key Takeaways
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 14B vs QwQ-32B.