Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Phi-3.5-MoE-instruct
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%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

QvQ-72B-Preview
Alibaba
QvQ-72B-Preview is a multimodal language model developed by Alibaba. 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's latest advancement in AI technology.

Phi-3.5-MoE-instruct
Microsoft
2024-08-23

QvQ-72B-Preview
Alibaba
2024-12-25
4 months newer
Performance comparison across key benchmark categories

Phi-3.5-MoE-instruct

QvQ-72B-Preview
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-MoE-instruct

QvQ-72B-Preview

Phi-3.5-MoE-instruct

QvQ-72B-Preview