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DeepSeek-V3 vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 8.3% higher average benchmark score. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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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 70B was developed by NVIDIA through customization of Meta's Llama 3.1 70B, designed to enhance performance for specific use cases and deployments. Built with NVIDIA's optimizations and fine-tuning expertise, it demonstrates how foundation models can be adapted for specialized applications.
2 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
DeepSeek-V3
DeepSeek
2024-12-25
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3
Average Score:88.5%(+8.3%)
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Llama 3.1 Nemotron 70B Instruct
Average Score:80.2%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
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 70B Instruct
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DeepSeek-V3
Avg Score:88.5%(+8.3%)
Providers:1
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Llama 3.1 Nemotron 70B Instruct
Avg Score:80.2%
Providers:0