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DeepSeek R1 Distill Qwen 1.5B vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 32.8% 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-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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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 1.5B
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 1.5B
Average Score:44.9%
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Nemotron Nano 9B v2
Average Score:77.6%(+32.8%)
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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 1.5B
0 providers
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Nemotron Nano 9B v2
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:44.9%
Providers:0
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Nemotron Nano 9B v2
Avg Score:77.6%(+32.8%)
Providers:0