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DeepSeek-V3 vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 2.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
2 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:78.5%(+2.2%)
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Llama 3.1 Nemotron Nano 8B V1
Average Score:76.3%
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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-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Llama 3.1 Nemotron Nano 8B V1
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DeepSeek-V3
Avg Score:78.5%(+2.2%)
Providers:1
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:76.3%
Providers:0