DeepSeek R1 Distill Llama 70B vs QwQ-32B
Comparing DeepSeek R1 Distill Llama 70B by DeepSeek and QwQ-32B by Alibaba Cloud / Qwen Team across benchmarks, pricing, and capabilities.
DeepSeek R1 Distill Llama 70B has a slight edge in benchmark performance.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (AIME 2024, MATH-500), while QwQ-32B is better at 1 benchmark (LiveCodeBench).
DeepSeek R1 Distill Llama 70B has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek R1 Distill Llama 70B has 38.1B more parameters than QwQ-32B, making it 117.2% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B 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 Llama 70B 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 Llama 70B.
Jan 20, 2025
1.2 years ago
Mar 5, 2025
1.1 years ago
1mo newerKnowledge Cutoff
When training data ends
QwQ-32B has a documented knowledge cutoff of 2024-11-28, while DeepSeek R1 Distill Llama 70B'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 Llama 70B'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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