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DeepSeek R1 Distill Qwen 14B vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 8.9% higher average benchmark score. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
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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.
7 months newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Average performance across 3 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:68.7%
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Nemotron Nano 9B v2
Average Score:77.6%(+8.9%)
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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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DeepSeek R1 Distill Qwen 14B
0 providers
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Nemotron Nano 9B v2
0 providers
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DeepSeek R1 Distill Qwen 14B
Avg Score:68.7%
Providers:0
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Nemotron Nano 9B v2
Avg Score:77.6%(+8.9%)
Providers:0