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 is particularly effective for detailed queries that require extensive reading and understanding of web content to provide accurate answers.

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

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

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.

Deep Research is an agentic capability in ChatGPT that conducts multi-step online research to solve complex tasks, delivering a fully cited comprehensive report in minutes, which would take a human many hours.

The model that powers Deep Research is a fine-tuned version of the O3 model, specifically trained on challenging browsing and reasoning tasks, enhancing its online search and analysis capabilities.

Deep Research can embed images and create graphs in its responses, enhancing the quality of information provided, although these features are not yet available for consumer use.