Real-world testing of Kimi-Researcher: 7 case studies to understand what the agent can do.
Recently, Kimi launched its Kimi-Researcher (deep research) Agent model, based on end-to-end autonomous reinforcement learning technology, and began closed beta testing. I was among the first to get access and, after extensive testing, found that Kimi...
Recently, Kimi launched Kimi-Researcher, a deep research tool based on end-to-end autonomous reinforcement learning technology.Agent The model was then put into internal testing.
I was able to apply for the beta test right away, and after experiencing it in depth, I found that Kimi can help you make decisions clearly and logically, whether it's for everyday life or professional research.
With just one sentence, it willautomaticRead materials, break down complex problems, proactively propose research paths, decompose tasks, track information, and finally output a rich and accurately sourced report of tens of thousands of words, which will also be organized into a visual page with clear highlights and easy reading.
Today I'll share with you what Kimi's deep search can actually do, and how Kimi-Researcher achieves state-of-the-art performance.
Users with beta testing privileges can see the "Deep Research" button in the dialog box. By entering their requirements and selecting "Deep Research," they can use this feature.
I selected seven different areas of need to test its in-depth research capabilities.
Case 1: Assisting in complex purchasing decisions
The Xiaomi YU7 launch event is coming up soon, and I wanted to learn some things about the car model beforehand, so I told Kimi:
Prompt wordsXiaomi YU7.
Kimi would guide me to express more specific needs.,It also listed several directions for me to choose from.The launch price, specific configuration, technical highlights, and market competition of the Xiaomi YU7, etc.
These are indeed the areas I'm most interested in understanding, so we can proceed with a comprehensive and in-depth study of them:
At this point, it will automatically search and organize information related to YU7, which takes about 20 to 30 minutes. During this time, you can completely ignore it.
Ultimately, it will organize the information obtained into a detailed in-depth research report and a visualization report.
Let's take a look at the in-depth research report together. It has over 9,600 words, more than 100 citations, and is comprehensive and detailed. The key data can be clearly identified by their sources.
It fully presents all the key points mentioned above and clearly indicates the sources in the content. The selected information sources are also authoritative websites in the professional field, such as Autohome, Xiaomi Auto, and Chejiahao.
Compared to text-based reports, visual reports are more intuitive, allowing for more data comparisons and making them easier for us to understand.fastGet the point.
Open the link to view the completion report: https://www.kimi.com/share/d1eiapsjc3f16p1sumsg
Case 2: Planning/Optimizing Travel Itinerary
Prompt wordsI want to travel from Beijing to Switzerland. Could you help me plan a week-long trip with a budget of 50,000 yuan?PopularIt includes all the tourist attractions.
Similarly, it generated a week-long in-depth tour itinerary and budget guide for Switzerland, as well as a visual report for me.
The in-depth travel itinerary planning and budget guide provides detailed information on transportation, attractions, accommodation, and food.
In the visualization report, all the information is clear at a glance.
If you don't want to read too much text, you can understand all the content by looking at the visual report.
Open the link to view the full report: https://www.kimi.com/share/d1eie8mmcu0nio8n7t40
Case 3: Financial Investment Analysis/Market Research
Prompt wordsThe current situation and trends of Chinese games going global.
In-depth research report:
Visualized Report:
Open the link to view the full report: https://www.kimi.com/share/d1eiapsjc3f16p1sumsg
Case 4: Scientific Research and Literature Review
Prompt wordsSearch for relevant literature on whether tea or coffee has a better energizing effect.
Aside from some official media outlets, I noticed that its content quoted a lot of articles from Zhihu columns.
It would be even better if the database could be integrated with Kimi's academic search database for academic research.
In-depth research report:
Visualized Report:
Open the link to view the full report: https://www.kimi.com/share/d1eid6jof8jlmi2au4lg
Case 5: Policy Analysis and Interpretation
Prompt wordsHow much can homebuyers save by lowering housing provident fund interest rates?
In-depth research report:
Visualized Report:
Open the link to view the full report: https://www.kimi.com/share/d1eid0kjc3f16p1t9sjg
Case 6: Deep Information Retrieval and Analysis
Prompt wordsAnalyzing the market competitiveness of the company "The Dark Side of the Moon".
In-depth research report:
Visualized Report:
Open the link to view the full report: https://www.kimi.com/share/d1eidcn37oq3d4ubqqi0
Case 7: Generation of professional-grade research reports
Prompt words:rightAILarge Modelfieldup to dateAn overview of the progress is provided.
In-depth research report:
Visualized Report:
Open the link to view the full report: https://www.kimi.com/share/d1eidh8osk9hkuhggi20
This visualization report is a major highlight of Kimi-Researcher. Various charts and data are clearly presented, making it easy to understand what it is saying at a glance.
All of this can be done without you opening dozens of tabs or switching between different resources—you just need to state your requirements, and it will complete the entire research process.
It would be even better if a download link were available.
Through the examples above, we can clearly see that Kimi-Researcher's information gathering ability is truly excellent. Furthermore, his ability to process the collected information is also top-notch.
It achieved excellent results in tests such as Humanity’s Last Exam (HLE) and xbench benchmark released by Sequoia China. It is currently among the top tier of such models.
Its core capabilities can be divided into three levels:
- Active search (Web)Agentability)
It will proactively use the browser to search for relevant content and then determine which content is useful.
- Multi-document summary (extremely long context)
A single research project may involve dozens or even hundreds of documents, totaling tens of thousands of words. Kimi's ability to summarize the context of millions of tokens makes it effortless to compile multiple articles.
- Problem Breakdown (Multi-Step Reasoning)
For complex problems, it proactively breaks them down into multiple sub-problems, investigates, analyzes, and summarizes each sub-problem, and then synthesizes the conclusions. This results in more detailed and comprehensive findings.
Tradition Agent The process needs to be written by someone; while Kimi-Researcher is entirely based on Kimi's self-developed K-series models, through end-to-end... AgentIt is trained by ic RL and continuously adjusts itself based on real-time feedback from the environment at each step in solving user needs.
As a self-media professional who has long been involved in writing, researching, and creating content, my assessment of Kimi-Researcher is:
This is what I really wanted. Agent model."
AIIt's no longer just a chat partner, but has truly started to "do things for you" like a human being.
Over the past six months, everyone has been discussing AgentHowever, most of them are still in the proof-of-concept (PoC) or tool development stage.
The release of Kimi-Researcher marks a significant step towards a To C layer.AgentThe product has been officially launched. The complete closed loop of "goal → path → execution → output" has been successfully implemented.
This is not a "demo," but a productivity tool that can be used immediately and generate value.
It is foreseeable that more and more fields (financial analysis, legal reviews, medical research) will begin to see similar "Researcher" categories. Agent ".