Model Comparison
DeepSeek R1 Distill Qwen 32B vs QwQ-32B
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B 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
DeepSeek R1 Distill Qwen 32B has 0.3B more parameters than QwQ-32B, making it 0.9% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B 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 32B 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 32B.
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 32B'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 32B's cutoff date.
—
Nov 2024
Outputs Comparison
Key Takeaways
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs QwQ-32B.