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Nemotron Nano 9B v2 vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 2.3% higher average benchmark score. Qwen3 32B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
3 months newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Nemotron Nano 9B v2
Average Score:71.6%(+2.3%)
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Qwen3 32B
Average Score:69.3%
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Knowledge Cutoff
Training data recency comparison
Nemotron Nano 9B v2
2024-09
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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Qwen3 32B
3 providers
DeepInfra
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Nemotron Nano 9B v2
Avg Score:71.6%(+2.3%)
Providers:0
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Qwen3 32B
Avg Score:69.3%
Providers:3