Microsoft Phi-4-reasoning-vision-15B: Compact Multimodal Model with Selective Reasoning

Microsoft Research Blog·high signal

Microsoft open-sourced Phi-4-reasoning-vision-15B, a compact multimodal reasoning model trained on ~200B tokens using 240 NVIDIA B200 GPUs over just 4 days — roughly 1/5 the data of comparable models (Qwen, Gemma3). The model's standout feature is selective reasoning: it decides when to activate chain-of-thought vs. when thinking is wasteful. Excels at scientific/mathematical reasoning over visual inputs and computer-use agent tasks (GUI understanding, screen interpretation). Available on Huggin