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Llama 3.1 Nemotron Nano 8B V1 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Nano 8B V1 leads with 4.3% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron Nano 8B was created as a compact variant optimized by NVIDIA, designed to bring Llama 3.1 capabilities to more efficient deployments. Built with NVIDIA's efficiency optimizations, it serves applications requiring strong performance with reduced resource requirements.
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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.
18 days newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
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Average performance across 2 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:69.3%(+4.3%)
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Qwen2.5 VL 32B Instruct
Average Score:65.0%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
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 Nano 8B V1
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:69.3%(+4.3%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:65.0%
Providers:0