Model Comparison
DeepSeek R1 Zero vs Qwen3 32B
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 1 benchmarks (AIME 2024), while Qwen3 32B is better at 1 benchmark (LiveCodeBench).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek R1 Zero has 638.2B more parameters than Qwen3 32B, making it 1945.7% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Qwen3 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 Zero was released on 2025-01-20, while Qwen3 32B was released on 2025-04-29.
Qwen3 32B is 3 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.3 years ago
Apr 29, 2025
1.0 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
DeepSeek R1 Zero
View detailsDeepSeek
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs Qwen3 32B.