GPT Researcher vs Open Deep Research
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Tagline
GPT Researcher
Open-source agent that researches the web and local documents to write detailed reports with citations.Open Deep Research
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.Pricing
GPT Researcher
FreeΒ· Open Source - $0Open Deep Research
FreeΒ· Free (MIT); bring your own Firecrawl + LLM API keysAPI
GPT Researcher
YesOpen Deep Research
Not listedPlatforms
GPT Researcher
linuxmacoswindows
Open Deep Research
webcli
Open source
GPT Researcher
YesOpen Deep Research
Yes Β· MITGitHub stars
GPT Researcher
βOpen Deep Research
19,849
checked 2026-10-29
Last GitHub push
GPT Researcher
βOpen Deep Research
2026-04-11First commit
GPT Researcher
βOpen Deep Research
2025-02Hacker News stories
GPT Researcher
1
checked 2026-10-12
Open Deep Research
βEarliest Wayback capture
GPT Researcher
2024-04-24
earliest archived capture of the site, not a launch date
Open Deep Research
βCompany
GPT Researcher
βOpen Deep Research
DuetModel used
GPT Researcher
Model-agnostic (default GPT-4o; supports Anthropic Claude, Google Gemini, Groq, Ollama, and any LiteLLM-compatible provider)Open Deep Research
o3-mini (default), DeepSeek R1, or any OpenAI-compatible modelEditorial score
GPT Researcher
βOpen Deep Research
7.2 / 10Use cases
GPT Researcher
Hybrid research using local documents and web sourcesCollaborative research within multi-agent teamsIntegration with MCP clients like Claude, Cursor, and n8nGenerating long detailed research reports
Open Deep Research
Deep research on any topicIterative research direction refinementGenerating detailed markdown reports
Pros
GPT Researcher
- The tool is MIT licensed and free to use.
- Users can connect any LLM of their choice, including OpenAI, Anthropic, Groq, Llama 3, and Hugging Face.
- Research outputs can be exported to formats including PDF, Word, Markdown, JSON, and CSV.
- The system uses a planner to run multiple researchers in parallel for each sub-question.
- The tool supports hybrid research using both local documents and web sources.
Open Deep Research
- The tool supports local LLMs via configurable endpoints and model names.
- Configurable parameters allow users to control the breadth and depth of the research.
- The system handles multiple searches and result processing in parallel for efficiency.
Cons
GPT Researcher
βOpen Deep Research
- Users with a free version of Firecrawl may encounter rate limit errors, requiring them to reduce the concurrency limit to 1, which slows down execution.
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.
Pick GPT Researcher if
- β The tool is MIT licensed and free to use.
- β Users can connect any LLM of their choice, including OpenAI, Anthropic, Groq, Llama 3, and Hugging Face.
- β Research outputs can be exported to formats including PDF, Word, Markdown, JSON, and CSV.
- β The system uses a planner to run multiple researchers in parallel for each sub-question.
Pick Open Deep Research if
- β The tool supports local LLMs via configurable endpoints and model names.
- β Configurable parameters allow users to control the breadth and depth of the research.
- β The system handles multiple searches and result processing in parallel for efficiency.