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DeepSeek R1 Distill Qwen 7B vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Nano 8B V1 leads with 3.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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NVIDIA
Llama 3.1 Nemotron Nano 8B was created as a compact variant optimized by NVIDIA, designed to bring Llama 3.1 capabilities to more efficient deployments. Built with NVIDIA's efficiency optimizations, it serves applications requiring strong performance with reduced resource requirements.
1 month newer
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
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Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 7B
Average Score:71.0%
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Llama 3.1 Nemotron Nano 8B V1
Average Score:74.8%(+3.8%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
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 7B
0 providers
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Llama 3.1 Nemotron Nano 8B V1
0 providers
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DeepSeek R1 Distill Qwen 7B
Avg Score:71.0%
Providers:0
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:74.8%(+3.8%)
Providers:0