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

Phi 4 Mini
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.

QvQ-72B-Preview
Alibaba
2024-12-25

Phi 4 Mini
Microsoft
2025-02-01
1 month newer
Performance comparison across key benchmark categories

Phi 4 Mini

QvQ-72B-Preview
Phi 4 Mini
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini

QvQ-72B-Preview

Phi 4 Mini

QvQ-72B-Preview