Kimi Deep Research

Kimi Deep Research turns a scoped question into a cited report, with follow-up research in the same session. It suits people working through academic, financial, market or business questions who need findings in formats they can reuse. Its range of sources and exports is a strength; the limited free allowance and privacy policy’s model-improvement use of content are important trade-offs.

Overview

Kimi clarifies the research scope, makes a plan, searches and synthesizes findings. Its search covers the open web and professional databases across news, government, academia, corporate information, finance and economics. That breadth is useful for layered questions, but the output still needs review: citations make sources traceable, not conclusions automatically sound.

Users can optionally add background files and watch the agent’s queries and fetched URLs as it works. This gives researchers a way to follow the process and supply context, though it does not replace checking the report against its cited material.

Key features

Research that can continue

Follow-up questions stay in the same session. Kimi can fetch more sources while carrying forward earlier context and findings, making it a better fit for work that develops as new questions emerge than for a one-off lookup.

Reports and exports

Reports can include charts and cited, traceable sources from web research and uploaded materials. Deliverables can be exported as Markdown, PDF, PowerPoint, Word, Excel or interactive HTML. That range helps move findings into different kinds of documents, though the usefulness of any export depends on how well the report itself answers the question.

Privacy and security

Kimi’s privacy policy says prompts and uploaded files may be processed to provide and improve services, including training and optimizing AI models. Moonshot AI says it uses reasonable technical and organizational safeguards to protect personal information, while acknowledging that security cannot be guaranteed completely. People handling sensitive material should weigh those terms before uploading it.

Pricing

Kimi uses a freemium model, with paid plans from $19/mo. The Free plan costs nothing and includes a limited monthly allowance; Deep Research use is measured by token consumption, not a fixed number of monthly queries. That makes the free tier useful for trying the workflow, but the work’s size can affect how far the allowance goes. Readers with recurring or larger research needs may need a paid plan; the entry price is $19/mo.

There is no fixed monthly query count to plan around, so token consumption is the relevant constraint. Consider that alongside the work you expect to do before choosing the free tier for ongoing use.

Platforms

Kimi is available on Android, iOS, macOS, Windows and the web, as well as through an extension. That spread accommodates desktop and mobile use, with the extension as another access point.

Who it's for

The feature is aimed at finance and investment, academic research, market research, consulting, business analysis and due diligence. It is strongest for readers who need to develop a question into a sourced report, revisit it with follow-ups and export the result. For quick answers, or for work involving sensitive files that should not be processed for service improvement, another approach may suit better.

Pros and cons

• Pro: Search spans open-web and professional sources in multiple fields, useful for questions that need more than a narrow set of results.
• Pro: Follow-up research keeps earlier context, and reports can be exported in six formats.
• Pro: Users can supply background files and inspect queries and fetched URLs during research.
• Con: The free monthly allowance is limited and measured by token consumption, so it does not promise a predictable number of research sessions.
• Con: Prompts and uploaded files may be used to improve services, including model training and optimization; that can rule it out for some sensitive work.

Alternatives

For a different research assistant, browse AI Research Assistants.

• Perplexity is worth considering if its $20 a month Pro plan and expanded use for serious work suit better; its free plan has limited daily use for individuals.
• Genspark Design may fit readers who value a daily free credit allowance or the Plus plan’s 10,000 monthly credits and 50 GB AI Drive storage; those paid plans have no stated price.
• Liner is an option for readers who want unlimited Advanced Search and Deep Research access on its free plan, alongside one file upload per day up to 25MB; that plan has 0 agent credits/month.
• Gab AI Research Assistant offers 250 starting credits, access to every AI model using credits, web search and file analysis on its free plan.
• Consensus may suit paper-focused work: its free tier includes unlimited Papers searches and 3 Deep reviews/month, alongside limited Pro messages.
• Felo AI Research gives free users 200 bonus credits/day, unlimited high-speed search, 5 professional searches/day and 3 file analyses/day, but no API access.
• Innogath provides 500 credits/month, basic-depth Deep Research and Markdown export on its free plan, with one concurrent research; its Ultra plan is $32.00.
• You.com may be a better fit for readers prioritizing a free daily query allotment: its free plan includes 100 queries/day and web and news results.

Verdict

Choose Kimi Deep Research if you need a sourced report that can grow through follow-up research and move into several document formats. Its broad search and continuing session are the main reasons to pick it; the token-limited free allowance and policy allowing prompts and files to help improve models are reasons to look elsewhere, especially for sensitive work.