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Phi-3.5-MoE-instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 13.1% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
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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.
6 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 6 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:62.0%
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Qwen2.5 VL 32B Instruct
Average Score:75.1%(+13.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-MoE-instruct
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Phi-3.5-MoE-instruct
Avg Score:62.0%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:75.1%(+13.1%)
Providers:0