Official announcement from Microsoft. These are their claims—they have marketing incentives.
Phi-4-reasoning-vision and the lessons of training a multimodal reasoning model
At a glance Phi-4-reasoning-vision-15B is a compact and smart open‑weight multimodal reasoning model that balances reasoning power, efficiency, and training data needs. It is a broadly capable model...
Microsoft Research··~4 min read
2-Minute Brief
According to Microsoft Research: At a glance Phi-4-reasoning-vision-15B is a compact and smart open‑weight multimodal reasoning model that balances reasoning power, efficiency, and training data needs. It is a broadly capable model that allows for natural interaction for a wide array of vision-language tasks and excels at math and science reasoning and understanding user-interfaces. We share lessons learned and best practices for training a multimodal reasoning model—showing the benefit of careful architecture choices, rigorous
Phi-4-reasoning-vision and the lessons of training a multimodal reasoning model
TLDR
At a glance Phi-4-reasoning-vision-15B is a compact and smart open‑weight multimodal reasoning model that balances reasoning power, efficiency, and training data needs. It is a broadly capable model...
2-Minute Brief
According to Microsoft Research: At a glance Phi-4-reasoning-vision-15B is a compact and smart open‑weight multimodal reasoning model that balances reasoning power, efficiency, and training data needs. It is a broadly capable model that allows for natural interaction for a wide array of vision-language tasks and excels at math and science reasoning and understanding user-interfaces. We share lessons learned and best practices for training a multimodal reasoning model—showing the benefit of careful architecture choices, rigorous