Microsoft Research has introduced Fara1.5, a series of three browser computer-use agent models (4B, 9B, and 27B parameters) built upon Qwen3.5. These agents are designed to interact with real browsers by interpreting screenshots and executing mouse and keyboard actions to complete tasks. In evaluations on the Online-Mind2Web benchmark, the largest Fara1.5 model achieved a 72% task success rate, surpassing competitors like OpenAI's Operator and Google's Gemini 2.5 Computer Use. AI
Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →
IMPACT Sets a new benchmark for browser automation agents, potentially impacting how users interact with web services and how developers build agentic applications.
RANK_REASON Microsoft Research released a new family of AI models (Fara1.5) with specific sizes and performance metrics. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
