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Deep Research

by OpenAI · 2025
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Subscription · Deep Research is included with eligible ChatGPT plans, with usage limits varying by plan. Business, Enterprise, and Edu plans support Deep Research, with additional flexible credits available on eligible plans. OpenAI also provides dedicated deep-research models through its API, including o3-deep-research at $10 per 1M input tokens and $40 per 1M output tokens, and o4-mini-deep-research at $2 per 1M input tokens and $8 per 1M output tokens.
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Deep Research

Deep Research is an agentic research capability from OpenAI that conducts multi-step research across the web and synthesizes information into structured, citation-backed reports. It can search, analyze, compare, and evaluate information from many sources, while also working with uploaded files and connected apps. It is designed for complex research tasks that require substantially more depth than a quick web search.

Key Features

  • Agentic multi-step research
  • Web research
  • Source discovery
  • Source evaluation
  • Information synthesis
  • Citation-backed reports
  • Structured research reports
  • Research planning
  • Editable research plans
  • Real-time research progress
  • Research interruption and refinement
  • Specific website selection
  • Domain prioritization
  • Uploaded-file analysis
  • Data analysis
  • Python-based analysis
  • Connected app research
  • Authenticated data sources
  • Research across multiple sources
  • Niche information discovery
  • Comparative research
  • Evidence-based analysis
  • Report export
  • Markdown export
  • Word export
  • PDF export
  • Sources-used section
  • Activity history
  • MCP connector support
  • Enterprise access controls
  • API access through deep-research models

Pros & Cons

Pros

  • Handles complex research tasks autonomously
  • Searches and synthesizes information from many sources
  • Produces documented reports with citations
  • Allows users to review and modify the research plan
  • Supports web, files, and connected applications
  • Can analyze data using Python
  • Useful for niche and difficult-to-research topics
  • Supports specific websites and trusted sources
  • Reports can be exported in multiple formats
  • Available across consumer and business ChatGPT plans
  • Dedicated API models are available for developers

Cons

  • Research takes longer than standard search or chat
  • Usage limits depend on the ChatGPT plan
  • API usage is billed separately based on token usage
  • Research results still require human verification for important decisions
  • Source quality can vary across the web
  • Advanced connected-app capabilities depend on plan and workspace configuration
  • Not intended for quick factual lookups where standard search is faster

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