OpenAI has introduced Deep Research, a groundbreaking feature in ChatGPT designed to tackle complex, multi-step research tasks with unprecedented efficiency. Powered by the upcoming OpenAI o3 model, this new capability combines advanced reasoning, web browsing, and data analysis to deliver comprehensive reports that would otherwise require hours of manual research.
Deep Research enables users to input a query—ranging from competitive analyses to personalized product recommendations—and receive a detailed, well-documented report within 5 to 30 minutes. Its multi-agentic design synthesizes information from diverse online sources, analyzes user-uploaded files, and integrates data visualization tools like Python for maximum clarity.
OpenAI Launches Deep Research Capability in ChatGPT
OpenAI has introduced Deep Research, a groundbreaking feature in ChatGPT designed to tackle complex, multi-step research tasks with unprecedented efficiency. Powered by the upcoming OpenAI o3 model, this new capability combines advanced reasoning, web browsing, and data analysis to deliver comprehensive reports that would otherwise require hours of manual research.
Deep Research enables users to input a query—ranging from competitive analyses to personalized product recommendations—and receive a detailed, well-documented report within 5 to 30 minutes. Its multi-agentic design synthesizes information from diverse online sources, analyzes user-uploaded files, and integrates data visualization tools like Python for maximum clarity.
Why It Matters
Deep Research was created for professionals in fields like finance, science, and engineering who require precise and reliable insights. It offers a solution for complex, time-intensive queries, leveraging reinforcement learning techniques to independently explore, analyze, and consolidate niche or specialized information. For example, it excels in delivering in-depth analyses of competitive markets, research-heavy purchase guides, and intricate scientific data.
Performance Highlights
The feature has set a new standard in real-world evaluations:
- On Humanity’s Last Exam, it scored 26.6% accuracy, significantly surpassing previous benchmarks in linguistics, mathematics, and social sciences.
- On the GAIA benchmark, it achieved 72.57% accuracy, excelling at tasks requiring reasoning and multi-modal fluency.
These results reflect the feature’s capability to automate hours of manual investigation, providing users with actionable and verified information.
Limitations and Availability
Despite its potential, Deep Research is still in its early stages. It may occasionally hallucinate facts, misinterpret authority, or take longer to initiate tasks. OpenAI plans to improve these aspects through iterative deployment and user feedback.
Currently available for Pro users with up to 100 queries per month, Deep Research will soon be rolled out to Plus and Team users, with broader access planned in the coming months.
Deep Research represents OpenAI’s vision for agentic AI, where ChatGPT not only synthesizes knowledge but creates new insights. Future iterations aim to integrate subscription-based and internal data sources, enhancing its capabilities for personalized and domain-specific research. Combined with Operator, OpenAI envisions ChatGPT performing increasingly sophisticated real-world tasks, streamlining workflows across industries.
Deep Research is now live on ChatGPT Web and is expected to expand to mobile and desktop platforms in the coming weeks, setting the stage for a new era in AI-powered knowledge work.
Check out OpenAI’s full breakdown here:
