OpenAI announced a new AI “agent” that will assist users in carrying out complex, in-depth research using ChatGPT, the company’s AI-powered chatbot platform.
As the name suggests, it’s called deep research.
This new capacity was created for “people who do intensive knowledge work in areas like finance, science, policy, and engineering and need thorough, precise, and reliable research,” according to a blog post by OpenAI. Anybody making “purchases that typically require careful research, like cars, appliances, and furniture,” the company added, would find it helpful.
In essence, ChatGPT deep research is meant for situations in which you need to carefully evaluate data from several websites and other sources rather than relying solely on a summary or fast response.
According to OpenAI, ChatGPT Pro users will now have access to deep research, up to 100 questions each month. Plus and Team users will follow, then Enterprise. (The business stated that the query limits for paid customers should be “significantly higher” in the near future, and that OpenAI plans to roll out Plus in around a month.) The launch is geo-targeted; OpenAI was unable to provide a release schedule for ChatGPT users in the European Economic Area, Switzerland, and the United Kingdom.
Simply choose “deep research” in the composer and type in a query, with the ability to attach files or spreadsheets, to use ChatGPT deep research. (At this time, it is only available online; later this month, PC and mobile app connectivity will be added.) You’ll receive a signal when the search is finished, and it may take five to thirty minutes to find the answer.
The outputs of ChatGPT deep research are currently limited to text. However, OpenAI stated that it plans to soon include data visualizations, embedded graphics, and other “analytic” outputs. Connecting “more specialized data sources,” such as “subscription-based” and internal resources, is another item on the roadmap, according to OpenAI.
According to OpenAI, it used Humanity’s Last Exam, an assessment consisting of over 3,000 expert-level questions covering a range of academic subjects, to test ChatGPT’s deep research. The accuracy of the o3 model that drives deep research was 26.6%, which may seem like a failing grade, but Humanity’s Last Exam was made to be more difficult than other benchmarks to keep up with model improvements. The deep research o3 model outperformed Grok-2 (3.8%), OpenAI’s own GPT-4o (3.3%), and Gemini Thinking (6.2%), according to OpenAI.
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