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Llama 3.1 Nemotron Ultra 253B v1 vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 5.2% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). 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.
1 month newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Average performance across 9 common benchmarks
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:52.8%
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QwQ-32B
Average Score:58.0%(+5.2%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
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 Ultra 253B v1
0 providers
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QwQ-32B
0 providers
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:52.8%
Providers:0
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QwQ-32B
Avg Score:58.0%(+5.2%)
Providers:0