The 03 model is effective at searching because it is trained with the same tools and browsing datasets used for deep research.

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

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

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 excels in providing detailed comparisons and reviews for products, making it a valuable tool for consumers looking to make informed purchasing decisions without spending excessive time on research.

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