Gemini Notebook vs Kimi

They earn trust differently. NotebookLM's answers stay inside your uploaded sources with passage-level citations you can click and check, so its failure mode is inheriting your sources' flaws rather than inventing. Kimi researches the open world, which is the point, but its findings need the checking any open research does. If provenance is the requirement, NotebookLM's grounding is the feature to buy.

Both start free in earnest. NotebookLM's free tier is generous enough for real work, with higher source and usage limits arriving through Google's paid AI plans. Kimi is freemium, and its paid membership currently folds in Kimi Code credits, a pairing Moonshot has announced it will separate. Prices are published, but new plans are waitlist-only right now. For a research-only user, NotebookLM's free lane stretches further.

Yes, on both, and they differ. Kimi is a hosted assistant whose consumer terms store data in China under PRC law, so weigh where prompts and documents travel before routing sensitive or regulated material through it; the assistant itself cannot be self-hosted. NotebookLM sits under Google's terms, which most organisations have already evaluated. For confidential corpora, that difference will often decide the question by policy.

Both do, from different starting points. Gemini Notebook's Studio panel generates a deck from the sources it holds, as a detailed deck or as presenter slides, and exports it to PowerPoint or PDF. Kimi generates slides and a website from the same conversation as the research. Design control is the ceiling either way, so a deck that must land in a house style still gets finished elsewhere.

Only when you ask it to. Its own framing is that it does not wander to the open web unless you ask it to find sources, so the boundary is a default rather than a wall. That matters for the trust argument: the grounding you are buying holds because of how you use it, not because the tool is incapable of reaching further.

They are shaped differently. Gemini Notebook raises its limits through more than one route: a Google AI plan, a qualifying Google Workspace plan, or Google Cloud, so which one applies depends on the account the work sits in. Kimi sells a membership ladder, and a paid tier is what folds in credits for its separate coding agent.

For Gemini Notebook it does. Uploads on the Workspace and Education terms are not reviewed by people and are not used to train models, which is not what the personal terms say, so the account a notebook lives in is part of the data answer. Kimi's consumer terms sit under Chinese law, and the branded assistant is hosted rather than something a team can run itself.

When the deck is the deliverable rather than the record. Generated slides get you to presentable, and an investor-facing deck from a prompt is a starting point whose story you should expect to rework. This guide names Gamma when the finished slides themselves need more control, and Beautiful.ai is on the same shelf for design-led decks.

The corpus stays in Gemini Notebook and the open question goes to Kimi, which is the split most researchers land on. Notebook answers with passages you can click back to, and turns dense material into audio and video overviews, mind maps, flashcards and study guides. Kimi takes an unfamiliar topic and returns something an audience can receive.