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Llama 3.1 Nemotron Ultra 253B v1 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Ultra 253B v1 leads with 30.0% higher average benchmark score. Qwen2.5 VL 32B Instruct 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 was developed as NVIDIA's largest Nemotron variant, designed to provide maximum capability through extensive customization of large-scale foundations. Built with 253 billion parameters and NVIDIA's specialized training, it represents the flagship offering in the Nemotron family.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
1 month newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
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Average performance across 1 common benchmarks
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:76.0%(+30.0%)
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Qwen2.5 VL 32B Instruct
Average Score:46.0%
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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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Llama 3.1 Nemotron Ultra 253B v1
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:76.0%(+30.0%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0