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DeepSeek-V3.2-Exp vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 7.2% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). Released in 2024, it represents NVIDIA's latest advancement in AI technology.
12 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:37.0%(+7.2%)
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Llama 3.1 Nemotron 70B Instruct
Average Score:29.9%
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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-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Llama 3.1 Nemotron 70B Instruct
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DeepSeek-V3.2-Exp
Avg Score:37.0%(+7.2%)
Providers:2
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Llama 3.1 Nemotron 70B Instruct
Avg Score:29.9%
Providers:0