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Llama 3.1 Nemotron Ultra 253B v1 vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 41.8% higher average benchmark score. Qwen2.5 VL 7B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 7B Instruct 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
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Average performance across 38 common benchmarks
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:12.5%
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Qwen2.5 VL 7B Instruct
Average Score:54.3%(+41.8%)
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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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Qwen2.5 VL 7B Instruct
0 providers
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:12.5%
Providers:0
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Qwen2.5 VL 7B Instruct
Avg Score:54.3%(+41.8%)
Providers:0