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Llama 3.1 Nemotron Ultra 253B v1 vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Ultra 253B v1 leads with 27.7% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Llama 3.1 Nemotron Ultra 253B v1 is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Average performance across 10 common benchmarks
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:47.5%(+27.7%)
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QvQ-72B-Preview
Average Score:19.8%
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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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Llama 3.1 Nemotron Ultra 253B v1
0 providers
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QvQ-72B-Preview
0 providers
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:47.5%(+27.7%)
Providers:0
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QvQ-72B-Preview
Avg Score:19.8%
Providers:0