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DeepSeek-V3.1 vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 20.5% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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-V3.1
DeepSeek
2025-01-10
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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DeepSeek-V3.1
Average Score:44.5%(+20.5%)
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Llama 3.1 Nemotron Nano 8B V1
Average Score:24.1%
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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
2 providers
DeepInfra
Novita
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Llama 3.1 Nemotron Nano 8B V1
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DeepSeek-V3.1
Avg Score:44.5%(+20.5%)
Providers:2
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:24.1%
Providers:0