Deep Research Preview (Apr-21-2026)
Deep Research Preview: AI-powered deep web research
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- Janela de contexto (tokens)
- 131.072
Deep Research Preview is a specialized AI agent designed for thorough, autonomous research. Given a question or topic, it plans a research strategy, searches the web, visits multiple pages, extracts relevant information, and cross-references sources to produce a structured report with citations. It excels at complex, multi-faceted queries that require gathering information from many places and synthesizing it into a coherent answer.
Use it when you need in-depth background, competitive analysis, market trends, academic literature summaries, or any research task that would normally take hours of manual browsing. It is particularly valuable for professionals, students, and curious minds who want reliable, well-sourced information quickly.
What makes it distinctive is its ability to iterate: it can refine its search based on intermediate findings, ensuring depth and coverage. The output is a comprehensive report with clear sections, key takeaways, and a bibliography, making it easy to verify and build upon.
- Market research and competitive analysis
- Academic literature reviews and summaries
- Preparing for meetings, presentations, or articles
- Investigating complex topics with many facets
- Gathering background for strategic decisions
It plans and executes a series of searches and page visits without manual intervention.
It combines information from many sources into a coherent, well-structured report.
Every claim is backed by sources, making it easy to fact-check and trust.
- Be specific: include dates, regions, or context to narrow the research.
- Break complex topics into smaller, focused questions for better results.
- Use follow-up prompts to refine or expand sections of the report.
- Always verify critical facts from primary sources before relying on them.
- May occasionally misinterpret nuanced or ambiguous queries.
- Research depth is limited by the model's training and live web access constraints.
- Reports can be lengthy; you may need to skim or ask for summaries.
Explore the latest trends in generative AI for image creation, including model architectures, ethical concerns, and industry adoption as of 2025.
What are the most effective dietary interventions for reducing inflammation, based on clinical trials from the last five years?
Analyze the potential economic and social impacts of universal basic income, using evidence from pilot programs in different countries.
Nucleus sampling: limits the model to the top percentage of probable next words, balancing diversity and coherence.
Preferred language for the report output.
Sets the maximum length of the generated report (roughly 4 characters per token).
Controls randomness: lower values make output more focused and deterministic, higher values more creative.
Determines how many search rounds and page visits the model performs; higher depth yields more thorough research.
Format for citations in the report (e.g., APA, MLA, plain URLs).
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How is this different from a regular chatbot?
It performs live, multi-step web research and produces a cited report rather than just answering from memory.
Can I trust the information it provides?
It cites sources, but you should verify important facts independently.
How long does a typical research task take?
It can take several minutes, depending on the complexity and number of sources.