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Phi-3.5-MoE-instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 4.8% 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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Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). 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.
6 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Average performance across 53 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:38.3%(+4.8%)
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Qwen2.5 VL 32B Instruct
Average Score:33.6%
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:38.3%(+4.8%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:33.6%
Providers:0