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DeepSeek-V3.2-Exp vs Llama 3.1 Nemotron Ultra 253B v1
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 26.5% 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 Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
5 months newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:54.4%(+26.5%)
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:28.0%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
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 Ultra 253B v1
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DeepSeek-V3.2-Exp
Avg Score:54.4%(+26.5%)
Providers:2
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:28.0%
Providers:0