Deep Research was developed to tackle tasks requiring extensive online research and reasoning, enabling users to efficiently gather information and make informed decisions across various domains.

Deep Research has been surprisingly popular for coding tasks, helping users with code searches, documentation, and script writing, which was not initially anticipated as a primary use case. It also excels at synthesizing information and finding specific, hard-to-locate facts on the internet, especially when given detailed descriptions of what users want.

Deep research can effectively search the web, identify items that fit specific constraints, and synthesize the information into a comprehensive report.

Deep Research allows users to generate comprehensive reports on topics of interest, significantly enhancing their learning experience.

Deep research is designed to be the most comprehensive tool for search queries, while the 03 model is better suited for medium-level searches.

Deep research is capable of handling complex queries that traditional search methods struggle with, such as finding specific markets based on multiple constraints.

Deep Research's ability to train end-to-end allows it to adapt flexibly to live web information, making it capable of creative searches and generating insightful responses.

Deep Research begins by asking clarifying questions to ensure it understands the user's request and wants users to provide as much detail as possible upfront to ensure the output meets their expectations.

Deep Research is an AI agent that can search multiple online sources to create comprehensive reports, completing tasks that would take humans hours in just 5 to 30 minutes, providing detailed answers with specific sources.