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Llama 3.1 Nemotron Nano 8B V1 vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 1.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA'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.
13 days newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Average performance across 11 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:45.9%
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QwQ-32B
Average Score:47.5%(+1.5%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
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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Llama 3.1 Nemotron Nano 8B V1
0 providers
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QwQ-32B
0 providers
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:45.9%
Providers:0
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QwQ-32B
Avg Score:47.5%(+1.5%)
Providers:0