Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen2.5 VL 72B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Average performance across 61 common benchmarks
Phi-3.5-MoE-instruct
Qwen2.5 VL 72B Instruct
Available providers and their performance metrics
Phi-3.5-MoE-instruct
Qwen2.5 VL 72B Instruct
Phi-3.5-MoE-instruct
Qwen2.5 VL 72B Instruct