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DeepSeek R1 Distill Llama 70B vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 31.2% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:43.4%
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QwQ-32B
Average Score:74.6%(+31.2%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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QwQ-32B
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DeepSeek R1 Distill Llama 70B
Avg Score:43.4%
Providers:1
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QwQ-32B
Avg Score:74.6%(+31.2%)
Providers:0