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Nemotron Nano 9B v2 vs QwQ-32B
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 5.0% higher average benchmark score. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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NVIDIA
Nemotron Nano 9B v2 is a language model developed by NVIDIA. It achieves strong performance with an average score of 77.0% across 6 benchmarks. It excels particularly in MATH-500 (97.8%), IFEval (90.3%), AIME 2025 (72.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
5 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Average performance across 4 common benchmarks
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Nemotron Nano 9B v2
Average Score:80.8%(+5.0%)
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QwQ-32B
Average Score:75.8%
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Knowledge Cutoff
Training data recency comparison
Nemotron Nano 9B v2
2024-09
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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Nemotron Nano 9B v2
0 providers
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QwQ-32B
0 providers
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Nemotron Nano 9B v2
Avg Score:80.8%(+5.0%)
Providers:0
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QwQ-32B
Avg Score:75.8%
Providers:0