GPT Researcher
GPT Researcher is an open-source AI tool designed to simplify and accelerate the research process. As an autonomous agent, it offers a comp...
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What is GPT Researcher?
GPT Researcher is an open-source autonomous research agent that gathers, filters, and organizes information from multiple web sources into cited research reports. It is designed to automate the tedious part of research by doing source collection, ranking, and synthesis for you.
The product is built for deep research workflows, not just quick web answers. It emphasizes factual output, inline citations, and report quality, and it is positioned as a specialized agent for multi-agent frameworks and research-heavy applications.
It supports tailored research inputs, including specific URLs, local documents, and hybrid research across both web and local files. The site also says it can work with many LLMs and search engines, export results in multiple formats, and generate longer reports that go beyond normal token limits.
GPT Researcher is aimed at individuals, startups, and enterprises that need reliable research for business, academic, or operational use. The website highlights use cases such as market research, travel planning, stock analysis, recruitment, medical studies, and company briefs.
GPT Researcher pricing
Pricing model: Free
The website describes GPT Researcher as open source and says a typical research task costs around $0.01 per run for GPT-4 usage, with the average research task taking around 3 minutes and costing about $0.1. Its Deep Research feature is described elsewhere as costing around $0.4 per research when using o3-mini at high reasoning effort. The site does not show a traditional subscription plan on the homepage; instead, pricing is presented as usage-based with open-source access and model-dependent costs. The documentation also notes that costs are continually optimized.
GPT Researcher pros
- Open-source autonomous research agent
- Produces cited research reports
- Aggregates 20+ web sources per task
- Filters irrelevant sources automatically
- Ranks relevant and accurate information
- Supports deep research workflows
- Works with many LLM providers
- Supports multiple search engines
- Can research local documents
- Supports hybrid web plus local research
- Exports to PDF
- Exports to Word
- Exports to Markdown
- Exports to JSON
- Exports to CSV
- Generates long reports over 2K words
- Built for multi-agent frameworks
- Tailored research via URL inputs
- Customizable report instructions
- Designed for factual, low-hallucination output
GPT Researcher cons
- Website-focused information only
- Research quality depends on source availability
- Not optimized for instant one-line answers
- Local document setup requires configuration
- Hybrid research needs both retriever and document path setup
- Some advanced features depend on chosen LLM costs
- Deep research can take several minutes
- Pricing information is spread across docs and site
- Export and integration features may require technical setup
- Best fit for research use cases rather than casual chat
Frequently asked questions about GPT Researcher
What is GPT Researcher?
GPT Researcher is an open-source autonomous research agent that scrapes, filters, and aggregates information from multiple web sources, then turns that material into a cited report. It is built to handle the research process automatically so users can focus on the final result rather than collecting sources manually.
How does GPT Researcher gather information?
It gathers information from multiple trusted web sources and then filters and ranks what it finds so the final output focuses on the most relevant material. The website says it uses techniques such as RAG, chains, embeddings, and proprietary scoring to improve relevance and reduce hallucinations.
Can GPT Researcher use local files?
Yes. The site says it can research local documents as well as web sources, and it supports formats such as PDF, text, CSV, Excel, Markdown, PowerPoint, and Word. It also supports hybrid research, which combines local documents with web sources in one workflow.
Does GPT Researcher provide citations?
Yes. The homepage states that it produces research reports with citations, and the FAQ says it includes cited sources in the research results. It also says users can tell the tool which sources to focus on.
What kinds of tasks is GPT Researcher useful for?
The website lists many research use cases, including company briefs, market research, trend spotting, talent recruitment, travel planning, medical studies, stock analysis, and business insights. It is positioned as a general-purpose research agent that can work across academic, business, and personal planning tasks.
How long does a research task take?
The site says research is typically completed within minutes, with one documentation page citing an average task time of around 3 minutes. The homepage also describes deep research reports being created in minutes.
How much does it cost to run a research task?
The documentation says a typical research task costs around $0.01 per run for GPT-4 usage, while another page says the average research task costs about $0.1. A Deep Research page says each deep research takes around 5 minutes and costs around $0.4 when using o3-mini at high reasoning effort.
What LLMs does GPT Researcher support?
The site says it supports all LLMs and specifically mentions providers such as OpenAI, Anthropic, Groq, Llama 3, and Hugging Face. The FAQ also says it supports over 100 different LLMs, including Gemini and Claude.
Can GPT Researcher export reports?
Yes. The website says you can export research results to PDF, Word, Markdown, JSON, and CSV. It also mentions that users can dive deeper into more research tasks after receiving the report.
Who is GPT Researcher for?
GPT Researcher is aimed at individuals, startups, and enterprises that need unbiased and informed research. The site emphasizes use by people and organizations that want faster, more factual research for decision-making, automation, and analysis.