DeepSeek R1 Zero vs QwQ-32B-Preview Comparison
Comparing DeepSeek R1 Zero and QwQ-32B-Preview across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 3 benchmarks (AIME 2024, GPQA, MATH-500), while QwQ-32B-Preview is better at 0 benchmarks.
DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek R1 Zero has 638.5B more parameters than QwQ-32B-Preview, making it 1964.6% larger.
Context Window
Maximum input and output token capacity
Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while QwQ-32B-Preview 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 Zero was released on 2025-01-20, while QwQ-32B-Preview was released on 2024-11-28.
DeepSeek R1 Zero is 2 months newer than QwQ-32B-Preview.
Jan 20, 2025
1.2 years ago
1mo newerNov 28, 2024
1.3 years ago
Knowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while DeepSeek R1 Zero's cutoff date is not specified.
We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.
—
Nov 2024
Outputs Comparison
Key Takeaways
DeepSeek R1 Zero
View detailsDeepSeek
QwQ-32B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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