Kimi Deep Research

Kimi Deep Research is an AI tool for turning a research question into a structured, cited report. It is most useful for people handling academic, financial, market or business questions who need to carry findings into more work. Its broad search and export options are appealing, but the free allowance is limited and its privacy policy allows content to be used to improve models.

Overview

Kimi first clarifies the scope, lays out a plan, searches, then synthesizes findings. It draws on the open web and professional databases spanning news, government, academic, corporate, financial and economic material. That breadth makes it a stronger fit for layered questions than for a quick fact lookup; users should still check that the cited evidence supports each conclusion.

Reports can include charts and traceable citations from web research and uploaded files. Users may upload background materials and review the agent’s queries and fetched URLs as it works. These controls provide useful visibility into the process, but they do not remove the need to assess the report critically.

Key features

Continuing research

Follow-up questions remain in the same session, where Kimi can retrieve further sources while carrying forward earlier context and findings. That makes it suitable for work that develops as a report reveals new questions, rather than a one-off answer.

Reports and exports

Deliverables include Markdown, PDF, PowerPoint, Word, Excel and interactive HTML. The range is practical for moving research into documents, presentations or spreadsheets without being limited to a single report format.

Research controls and privacy

Optional file uploads let users supply background material, and the visible queries and fetched URLs make the search process easier to follow. However, Moonshot AI’s privacy policy says prompts and uploaded files may be processed to provide and improve services, including training and optimizing AI models. It describes reasonable technical and organizational safeguards but does not guarantee complete security, so sensitive material may be a poor fit.

The Kimi Help Center has a Deep Research section covering research, search tips, report generation, downloads and saving.

Pricing

Kimi is freemium, with a free plan at no cost and paid access from $19/mo. The free plan has a limited monthly allowance. Usage is measured by token consumption rather than a fixed number of queries, so a large research task can use more allowance than a small one. This gives occasional users a way to try the feature without a subscription, but the allowance may constrain sustained or extensive research.

The entry’s pricing note gives the paid starting price, but no paid-plan terms or quotas. Readers choosing between plans should weigh the free allowance against their expected research volume rather than assume a particular paid quota.

Platforms

Kimi is available on Android, iOS, macOS, Windows, the web and as an extension. That spread covers mobile and desktop use as well as browser-based access.

Who it's for

The feature is positioned for finance and investment, academic research, market research, consulting, business analysis and due diligence. It suits users who need cited synthesis across multiple kinds of sources, want to extend an inquiry with follow-ups, or need reports in different formats. It is less compelling for simple lookups or work involving sensitive uploads that users do not want processed for service improvement.

Pros and cons

• Pros: Searches both the open web and professional databases across several source categories, supporting research that crosses disciplines or industries.
• Pros: Follow-ups carry forward session context and can bring in more sources, helping users develop an inquiry without starting over.
• Pros: Cited reports, optional file uploads, visible queries and fetched URLs give users multiple ways to trace the work.
• Cons: The free monthly allowance is limited and token-based, making consumption less predictable by project than a query cap.
• Cons: Prompts and uploaded files may be used to improve models, which is a material concern for sensitive research.

Alternatives

For a wider set of choices, browse AI Research Assistants. Perplexity is a reasonable alternative for people who want a free research option with limited daily individual use, or a $20 a month Pro plan. Liner is worth considering for its free Advanced Search and Deep Research access, though its free plan has 0 agent credits per month and one daily file upload up to 25MB. Consensus may fit readers focused on papers, with unlimited free paper searches and three Deep reviews per month. Felo AI Research offers a free Standard plan with 200 bonus credits per day and five professional searches per day. Gab AI Research Assistant offers 250 starting credits on its free plan, along with web search and file analysis. Innogath is an option for users who want basic-depth Deep Research and one concurrent research on a free monthly credit allowance. You.com offers 100 free queries per day with web and news results.

Verdict

Choose Kimi Deep Research if your work benefits from multi-source, cited synthesis, continuing follow-up research and flexible export formats. Its source breadth and report workflow are the strongest reasons to use it; the limited token-based free allowance and model-improvement processing are the main reasons to look elsewhere, especially for heavy use or sensitive files.