OpenAI just dropped ChatGPT DeepResearch, and if you’re someone who spends hours digging through endless sources for research, this might be the tool you’ve been waiting for. Designed to streamline and automate complex, multi-step research tasks, DeepResearch leverages OpenAI’s latest o3-mini model to scan, analyse, and synthesize information from all over the internet. It’s like having an AI-powered research assistant that can put together well-structured reports in record time. Here’s a look at what makes it stand out.
SurveyAI that actually does research for you
One of the coolest things about DeepResearch is its ability to handle entire research processes on its own. You don’t just throw a question at it and get a generic AI-generated response – it actually plans how to tackle your query step by step. Whether you feed it text, PDFs, images, or spreadsheets, the system maps out a multi-step research strategy, pulls in data from different sources, and delivers a structured report in about 5 to 30 minutes.
The main aim is to facilitate a smoother workflow for folks whose jobs revolve around doing research in a way that makes sense. The AI doesn’t just scrape results and regurgitate them; it processes and synthesizes information, giving you something closer to what an actual researcher would put together.
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Powered by OpenAI’s o3-Mini model
DeepResearch is using OpenAI’s new o3-mini, a version of the upcoming o3-series designed specifically for browsing and data analysis. That means it’s better at filtering through the vast, messy world of the internet, finding useful content, and piecing it together into a coherent analysis.
Unlike older AI models that sometimes fumble when asked to verify sources or follow logical chains, o3-mini is optimized to handle multi-step reasoning and structured research. This is what allows DeepResearch to actually “think through” research problems instead of just returning the first five search results it finds.
Built for web, coming to mobile and desktop soon
For now, DeepResearch is available on the web version of ChatGPT, but OpenAI has plans to roll it out on mobile and desktop versions later this month. This means you’ll soon be able to run full-fledged research sessions right from your phone or laptop without needing to be tethered to a browser.
This is a big deal, especially for professionals who need to do research on the go. Imagine being able to dump a set of PDFs into the app while commuting and getting a summarized, cited report by the time you arrive at work. That’s where this is headed.
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The accuracy challenge – It’s not perfect yet
As impressive as DeepResearch is, it’s not infallible. OpenAI is upfront about the fact that the tool can sometimes misinterpret data or pull in unreliable sources. Unlike a human researcher who can tell the difference between a well-respected academic journal and a random blog post, AI still struggles with evaluating credibility.
It also has a tough time conveying uncertainty. Sometimes, research topics are just gray areas with no clear-cut answers, and DeepResearch might present uncertain findings with more confidence than it should. That means users will still need to apply some human judgment and double-check key details – this is an AI assistant, not a fully autonomous researcher.
Who gets access and how much it costs?
DeepResearch is being launched as a feature for OpenAI’s Pro users, and it comes with a hefty price tag – $200 per month for 100 queries. That puts it squarely in the hands of serious researchers, analysts, and businesses rather than casual users.
That said, OpenAI is reportedly working on a faster, more optimized version that might offer better pricing models in the future. For now, if you’re dealing with research-heavy workflows – like market analysis, legal research, or academic studies – this could be worth the investment.
Final t houghts
DeepResearch is a major step forward for AI-driven research. It’s not just another chatbot that spits out quick answers; it actually digs through sources, processes data, and compiles structured insights, or at least that is what OpenAI is claiming. While it’s not perfect and still requires human oversight, it has the potential to save countless hours for professionals who need reliable information, fast.
The big question now is how OpenAI refines it over time – because if they can improve its ability to verify sources and convey uncertainty better, we might be looking at one of the most powerful research tools ever built.
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Satvik Pandey
Satvik Pandey, is a self-professed Steve Jobs (not Apple) fanboy, a science & tech writer, and a sports addict. At Digit, he works as a Deputy Features Editor, and manages the daily functioning of the magazine. He also reviews audio-products (speakers, headphones, soundbars, etc.), smartwatches, projectors, and everything else that he can get his hands on. A media and communications graduate, Satvik is also an avid shutterbug, and when he's not working or gaming, he can be found fiddling with any camera he can get his hands on and helping produce videos – which means he spends an awful amount of time in our studio. His game of choice is Counter-Strike, and he's still attempting to turn pro. He can talk your ear off about the game, and we'd strongly advise you to steer clear of the topic unless you too are a CS junkie. View Full Profile
