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DeepSeek VL2 Small vs Llama 3.1 Nemotron Ultra 253B v1
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 24.9% higher average benchmark score. DeepSeek VL2 Small supports multimodal inputs. Overall, DeepSeek VL2 Small is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
3 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Average performance across 20 common benchmarks
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DeepSeek VL2 Small
Average Score:48.7%(+24.9%)
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:23.8%
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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 VL2 Small
0 providers
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Llama 3.1 Nemotron Ultra 253B v1
0 providers
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DeepSeek VL2 Small
Avg Score:48.7%(+24.9%)
Providers:0
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:23.8%
Providers:0