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Nemotron Nano 9B v2 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 18.0% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. 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
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
5 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Average performance across 1 common benchmarks
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Nemotron Nano 9B v2
Average Score:64.0%(+18.0%)
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Qwen2.5 VL 32B Instruct
Average Score:46.0%
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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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Qwen2.5 VL 32B Instruct
0 providers
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Nemotron Nano 9B v2
Avg Score:64.0%(+18.0%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0