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DeepSeek-V3 vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 34.9% higher average benchmark score. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
2 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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DeepSeek-V3
Average Score:56.0%(+34.9%)
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Llama 3.1 Nemotron Nano 8B V1
Average Score:21.0%
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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:56.0%(+34.9%)
Providers:1
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:21.0%
Providers:0