NEWSLETTER
The panorama of the investigation with ai became even more competitive with the launch of the deep investigation of Perplexity. Previously, Openai and Google Gemini led the way in this space, and now perplexity has joined the ranks. What does this mean for users? Those who take advantage of these technologies will effectively find that their work becomes faster, more precise and more efficient than those who do not. Let's explore the deep research of perplexity and see how it compares with OpenAi and Gemini!
What is the deep investigation of perplexity?
Deep Research is an advanced tool promoted by the ai that, upon receiving a user's consultation, runs numerous searches, check a wide range of sources and synthesizes the information collected in a coherent and detailed report. This process, which is generally completed in less than three minutes, emulates the meticulous approach of a human researcher, thus accelerating tasks that would otherwise require extensive manual effort.
Perplexity cost deep research
In line with its mission of democratizing access to powerful research tools, Perplexity ai offers deep investigation for free. Non -subscribers can use the tool for up to five consultations daily, while professional subscribers ($ 20 / month) benefit from an expanded limit of 500 consultations per day. Currently accessible through the web, Deep Research is scheduled for an imminent version on iOS, Android and Mac platforms.
How does it work?
Deep research improves the existing abilities of perplexity by dedicating approximately 2-4 minutes to perform tasks that would lead to human experts for several hours. The process implies:
- Iterative research and reasoning: The tool makes multiple searches, evaluates documents and refines its research strategy as it deepens the subject, reflecting the iterative process of human research.
- Comprehensive reporting generation: After thoroughly evaluating the origin materials, Deep Research compiles a clear and detailed report, which users can export as PDF or share as a perplexity page.
Also read: OpenAi vs Google: Who does better research?
Deep Research of Perplecity vs Competitors
Deep research has demonstrated impressive performance metric, achieving a precision score of 21.1% in the last examination of humanity, a comprehensive reference point that includes more than 3,000 questions in more than 100 subjects. This score exceeds those of several main models, including Gemini Thinking and Deepseek-R1.
How to access?
To experience deep investigation, users can visit perplexity. This intuitive interface allows users to integrate advanced research capacities in their workflow.
The deep research of Perplexity ai is prepared to redefine the panorama of ai research, offering users an efficient and accessible medium to obtain information at an expert level in a multitude of topics.
Perplexity vs openai vs google
| Feature | Deep research of perplexity | OpenAI's deep research | Google Gemini Deep Research |
|---|---|---|---|
| Release date | February 2025 | February 2, 2025 | December 11, 2024 |
| Price fixing | Free with limited consultations; $ 20/month for Pro with 500 daily consultations | $ 200/month per 100 consultations | $ 20/month (Advanced Gemini) |
| Processing time | Less than 3 minutes per task | 5–30 minutes per consultation | Typically less than 15 minutes |
| Precision (last examination of humanity) | 20.5% | Higher than 20.5% | 6.2% |
| Availability | Web; Soon on iOS, Android, Mac | Only us; expanding soon | Global through Gemini's web application (only in English) |
Comparing with a notice
Immediate: “Help me to find adoption rates of iOS and Android, % who want to learn another language and the change in mobile penetration, in the last 5 years, for the 10 main developed and developing countries by GDP per GDP. Present this information in a formatted report, a table on metrics and include recommendations in markets to aim at a new chatgpt translation application, focusing on the markets that Chatgpt could expand better. ”
Deep research of perplexity
OpenAI's deep research
Google Gemini Deep Research
Observation
| Parameter | Deep research of perplexity | Gemini Deep Research | OpenAI's deep research |
|---|---|---|---|
| Research Methodology |
– Execute multiple searches quickly. |
– Systematic and thorough. |
– Highly iterative and dynamic. |
| Research time | ~ 3 minutes | ~ 6 minutes | ~ 11 minutes |
| Analysis depth |
– It offers preliminary ideas. |
– Provides an in -depth analysis with an extensive review of resources. |
– It offers a very deep and complete analysis. |
| Interface and visual characteristics |
– Simple text -based report with formatted tables. |
– Written report well formed with structured headers and summary tables. |
– Dynamic interface with interactive graphics, graphics and real -time updates. |
| Support tools and characteristics |
– Use basic report generation tools. |
– Take advantage of document synthesis tools and robust web search. |
– Integrate advanced tools for data extraction, annotation and data. |
| Exit and clarity structure |
– Organized report with clearly divided sections and tables. |
– Clearly organized report with explicit figures, structured sections and detailed appointments. |
– Multiple and structured output that follows a logical flow from data extraction to ideas. |
| Recommended use case |
Ideal for rapid and preliminary analysis when fast change is a priority, although it is not ideal for comprehensive market analysis due to incomplete data on certain metrics. |
Ideal for strategic planning that requires a detailed static report with a clear methodology and an integral data for informed decision making. |
Ideal for decision manufacturers and analysts who need a highly complete, transparent and dynamic research process, with in -depth analysis and strategic ideas despite a longer research time. |
Verdict
While perplexity offers rapid change, its report is incomplete in key metrics. Gemini provides a well -organized and complete static report, but Openai's deep research is preferred for its comprehensive, transparent and dynamic approach that offers information and strategic recommendations in depth, which makes it more appropriate for critical decision making.
Also read: Build a deep research agent: $ 1 alternative to the $ 200 Operai's tool
Final note
The launch of a deep investigation indicates a significant change in how research can be carried out, democratizing access to powerful research tools and potentially transforming various industries that depend on in -depth analysis and research. This development represents a remarkable advance in research capabilities assisted by ai–ai, which makes professional grade research tools accessible to a wider audience while maintaining high standards of precision and integrity.
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