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Llama 3.1 Nemotron 70B Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron 70B Instruct leads with 1.8% 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 70B was developed by NVIDIA through customization of Meta's Llama 3.1 70B, designed to enhance performance for specific use cases and deployments. Built with NVIDIA's optimizations and fine-tuning expertise, it demonstrates how foundation models can be adapted for specialized applications.
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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.
5 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 1 common benchmarks
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Llama 3.1 Nemotron 70B Instruct
Average Score:80.2%(+1.8%)
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Qwen2.5 VL 32B Instruct
Average Score:78.4%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
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 70B Instruct
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Llama 3.1 Nemotron 70B Instruct
Avg Score:80.2%(+1.8%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:78.4%
Providers:0