{"report_sections": [{"header": "Overview", "content": "

OpenAI\u2019s Deep Research tool represents a significant step forward in automating and enhancing complex research tasks. Designed as an autonomous research agent, Deep Research takes a user\u2019s prompt and independently finds, analyzes, and synthesizes information from hundreds of online sources. The tool is built on an advanced version of the o3 model, optimized specifically for handling web browsing, data analysis, and document processing such as images and PDFs. This capability enables the generation of detailed, well-cited reports that rival the outputs of human analysts, positioning the tool as a valuable asset for both professional and consumer users.

", "media": [{"caption": "OpenAI\u2019s new Deep Research is the ChatGPT AI agent we\u2019ve been waiting for \u2013 3 reasons why I can\u2019t wait to use it", "url": "https://cdn.mos.cms.futurecdn.net/B7jcSq7sMu4eLaoJP3sqee-1200-80.jpg", "source_url": "https://www.techradar.com/computing/artificial-intelligence/openais-new-deep-research-is-the-chatgpt-ai-agent-weve-been-waiting-for-3-reasons-why-i-cant-wait-to-use-it", "title": "OpenAI\u2019s new Deep Research is the ChatGPT AI agent we\u2019ve been waiting for \u2013 3 reasons why I can\u2019t wait to use it", "type": "image", "id": 152174, "html": null, "alt": null}, {"caption": "OpenAI Deep Research: The Future of Autonomous Research and Analysis", "url": "https://cdn.prod.website-files.com/6205ff0d7246a78e40389f61/67a06094bf1cb329fa59915a_OpenAI%20Deep%20Research.jpg", "source_url": "https://dirox.com/post/openai-deep-research", "title": "OpenAI Deep Research: The Future of Autonomous Research and Analysis", "type": "image", "id": 152194, "html": null, "alt": null}]}, {"header": "Robust Research Capabilities", "content": "

At its core, Deep Research is engineered to tackle multi-step research tasks that traditionally require extensive manual effort. It supports comprehensive research by \"finding, analyzing, and synthesizing hundreds of online sources\" to create a report that covers a topic in depth. The tool adapts its research plan dynamically as new information emerges, which allows for the compilation of data from a diverse range of formats\u2014including text, images, and PDFs\u2014into a cohesive narrative. Its built-in capability to cite each piece of information enhances transparency and enables users to verify the sources, boosting both trust and reliability in the research process. The multi-step, adaptive reasoning process ensures that the research output is accurate and detailed even for niche subjects or highly specific queries.

", "media": [{"caption": "a comparison of a graph", "url": "https://cdn.analyticsvidhya.com/wp-content/uploads/2025/02/Response-Pass-Rate.webp", "source_url": "https://www.analyticsvidhya.com/blog/2025/02/openai-deep-research/", "title": null, "type": "image", "id": 152215, "html": null, "alt": null}, {"caption": "Bar chart: OpenAI Deep Research Pass Rates on Expert-Level Tasks. Pass rates range from around 19% for \u2019Low\u2019 value tasks, to 17% for \u2019Medium\u2019, 15% for \u2019High\u2019 and approximately 9% for \u2019Very High\u2019 value tasks.", "url": "https://cdn.prod.website-files.com/6205ff0d7246a78e40389f61/67a05f9729b070deeb18cf8d_AD_4nXezBScR1XSCNWDxEF5XPUHE1UAgJi_d8h3D8EWrPZes31hatS83zediynhmwl-ua6bP8NVEYJk2-4kUC3Ke9zbat2EgRyRy4zTxF42mZT7iEzuZ5AT3ufvbl5Au2qjK3-2do-ATlg.png", "source_url": "https://dirox.com/post/openai-deep-research", "title": null, "type": "image", "id": 152219, "html": null, "alt": "Bar chart: OpenAI Deep Research Pass Rates on Expert-Level Tasks. Pass rates range from around 19% for \"Low\" value tasks, to 17% for \"Medium\", 15% for \"High\" and approximately 9% for \"Very High\" value tasks."}, {"caption": "Bar chart: OpenAI Deep Research pass rates on expert-level tasks, showing approximately 22% for tasks estimated at 1-3 hours, around 13.5% for 4-6 hours, 14% for 7-9 hours, and 14.5% for tasks estimated at 10+ hours.", "url": "https://cdn.prod.website-files.com/6205ff0d7246a78e40389f61/67a05f9728ce3d7d9310f0c6_AD_4nXdlSZ7NR_yYJzLJHjQXGMWLQNLDrPn9E8l9iSwEBlfX_t0_SeqxqitukRVzaYzoY84dSYaBYKKSt8KeGmWHt7WsIzd3rqa9ipN35_qZhb6qMzC7BdyttBMjuQQkOAy2TdPR7zWE.png", "source_url": "https://dirox.com/post/openai-deep-research", "title": null, "type": "image", "id": 152220, "html": null, "alt": "Bar chart: OpenAI Deep Research pass rates on expert-level tasks, showing approximately 22% for tasks estimated at 1-3 hours, around 13.5% for 4-6 hours, 14% for 7-9 hours, and 14.5% for tasks estimated at 10+ hours."}]}, {"header": "Enhanced Professional User Experience", "content": "

For professionals such as market analysts, academic researchers, and product managers, Deep Research significantly reduces the time required to produce in-depth analyses. Instead of manually sifting through extensive data, a user can simply enter a query and receive a well-organized, citation-rich report in 5 to 30 minutes\u2014a task that would take human analysts many hours to complete. This efficiency is particularly beneficial in industries where timely insights are critical. Professionals can rely on the tool to produce expert-level outputs, complete with formatted tables, data visualizations, and detailed breakdowns of complex information. Real-time progress updates, accessible within the chat interface via a live sidebar, further enhance the experience by providing clarity on the sources being consulted and the steps being followed, making the research process transparent.

", "media": [{"caption": "Deep Research achieved an accuracy of 26.6%, showcasing its broad understanding of complex topics. This score surpasses other models, including OpenAI\u2019s GPT-4o (3.3%), Gemini Thinking (6.2%) and even OpenAI\u00e2\u0080\u0099s o3-mini (13.0%", "url": "https://cdn.prod.website-files.com/6205ff0d7246a78e40389f61/67a05f974ec31c574e4ffeb9_AD_4nXduUI8lyPMAf-iVca7dkSiUo9vVjMlfZdNvQoA1eqG6Qw_-uELsylIEFjq2soSVoczVheq1LxyrOvoBqsHwBEIewFMLY2YtcqjE0Wklg9G3r_p7JAGUiZ8ywr4JWqTb5xc7DoA5pA.png", "source_url": "https://dirox.com/post/openai-deep-research", "title": null, "type": "image", "id": 152221, "html": null, "alt": "Deep Research achieved an accuracy of 26.6%, showcasing its broad understanding of complex topics. This score surpasses other models, including OpenAI\u2019s GPT-4o (3.3%), Gemini Thinking (6.2%) and even OpenAI\u00e2\u0080\u0099s o3-mini (13.0%"}, {"caption": "a screenshot of a chat", "url": "https://cdn.prod.website-files.com/6205ff0d7246a78e40389f61/67a05f976b0702bf3b9d7912_AD_4nXeNBPCIcC4qzpAFQRrXIfzoBFNbkDNcxDMniom1xiRxvGOAH1rbaUb8L5KSsR2SEhp5WS3hBRir8nIvaJSirrUBQBdeb-KZxiig_A9uvmZFI0mkrB0i-2CoDU1OXn9sraULPzAFrg.png", "source_url": "https://dirox.com/post/openai-deep-research", "title": null, "type": "image", "id": 152222, "html": null, "alt": null}, {"caption": "Table showing OpenAI Deep Research performance on the GAIA benchmark: Deep Research (pass@1) achieves scores of 74.29, 69.06, and 47.6 on Level 1, Level 2, and Level 3 respectively, averaging 67.36. Deep Research (cons@64) scores 78.66, 73.21, and 58.03 on each level, averaging 72.57, surpassing the previous SOTA score of 63.64", "url": "https://cdn.prod.website-files.com/6205ff0d7246a78e40389f61/67a05f97630f451979421bad_AD_4nXdxs8f80xkNGEHWLpV3zvXQBhTF1Gd6tQP9meQz_EwY26etZjxLXw2ct02CHxZipELrj6gHn9xMdnSbw_NzaP6yOY1N9481RiO3YAsJj8n958dyOXmugTir_EVXSywkgo_APpaMcw.png", "source_url": "https://dirox.com/post/openai-deep-research", "title": null, "type": "image", "id": 152223, "html": null, "alt": "Table showing OpenAI Deep Research performance on the GAIA benchmark: Deep Research (pass@1) achieves scores of 74.29, 69.06, and 47.6 on Level 1, Level 2, and Level 3 respectively, averaging 67.36. Deep Research (cons@64) scores 78.66, 73.21, and 58.03 on each level, averaging 72.57, surpassing the previous SOTA score of 63.64"}]}, {"header": "Consumer-Focused Benefits", "content": "

Beyond the professional arena, Deep Research is crafted to serve everyday consumer needs. The tool offers valuable assistance for consumers in situations that typically involve tedious research. For instance, users struggling to recall specific details about a TV show or trying to choose the best product based on customized criteria can benefit from Deep Research\u2019s ability to compile and synthesize information quickly. It can pinpoint precise answers\u2014such as identifying a particular TV episode from a vague description\u2014and generate detailed responses that include contextual information and explanations. Moreover, the tool is especially useful for making complex purchasing decisions. By processing diverse data points such as user reviews, product specifications, and market trends, it enables consumers to compare options effectively and make informed decisions with confidence. This dual functionality ensures that the tool not only supports high-level professional analysis but also simplifies day-to-day tasks for individual users.

", "media": []}, {"header": "Integration and Future Enhancements", "content": "

Deep Research is currently available exclusively to ChatGPT Pro subscribers, indicating a premium positioning in the market with advanced capabilities that justify its cost. Its seamless integration within the ChatGPT interface, complete with straightforward button access and a user-friendly layout, helps to lower the barrier for adoption among both professionals and consumers. While the tool\u2019s current iteration marks a compelling blend of speed, adaptability, and extensive research capabilities, ongoing updates are expected to extend functionalities such as enhanced multi-modal outputs and further reduction in response latency. This continued evolution reflects OpenAI\u2019s commitment to improving the balance between automation and precision in AI-driven research.

", "media": []}]}

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