Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 52.4% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Average performance across 35 common benchmarks
Phi-3.5-MoE-instruct
QvQ-72B-Preview
Available providers and their performance metrics
Phi-3.5-MoE-instruct
QvQ-72B-Preview
Phi-3.5-MoE-instruct
QvQ-72B-Preview