Model Comparison
DeepSeek-V3 0324 vs QwQ-32B
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 outperforms in 2 benchmarks (GPQA, MATH-500), while QwQ-32B is better at 2 benchmarks (AIME 2024, LiveCodeBench).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 638.5B more parameters than QwQ-32B, making it 1964.6% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while QwQ-32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while QwQ-32B was released on 2025-03-05.
DeepSeek-V3 0324 is 1 month newer than QwQ-32B.
Mar 25, 2025
1.1 years ago
2w newerMar 5, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
QwQ-32B has a documented knowledge cutoff of 2024-11-28, while DeepSeek-V3 0324'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-V3 0324's cutoff date.
—
Nov 2024
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3 0324 vs QwQ-32B.