Google Gemini
Free · Advanced from $20/mo
Google Workspace and Android users who want AI inside the apps they already use.
At a glance
The facts that usually decide it. The full breakdown, with the caveats, is below.
| Gemini Notebook | Google Gemini | |
|---|---|---|
| Our rating | 5/5 | 5/5 |
| Pricing | Free | Free · Advanced from $20/mo |
| Price model | Free | Freemium |
| Category | Research | Chatbots |
| Best for | Studying and researching from your own documents. | Google Workspace and Android users who want AI inside the apps they already use. |
Prices checked 3 August 2026. Vendors change limits often — confirm on the vendor's own pricing page before you buy.
This comparison exists because Google made it confusing. On 16 July 2026, NotebookLM was renamed Gemini Notebook — so two genuinely different tools now share a brand, and the obvious assumption, that one is a feature of the other, is wrong.
The distinction is worth holding onto because it is the most useful thing in this category. Gemini Notebook is bounded: it answers only from sources you gave it. That sounds like a limitation and is the strongest guarantee available in research tooling — it cannot cite a paper that does not exist, because it cannot reach one. Gemini is unbounded, drawing on its training and the live web, which is what makes it a better assistant and a worse witness.
Two things changed with the rename, and both matter more than the name. Deep Research now runs inside the notebook, so it can go and find the sources rather than waiting for you to supply them — the cold-start problem that used to be the main argument against a bounded tool. And every notebook now gets a secure cloud computer, meaning it can execute code against your material instead of only describing it.
So the choice is not “which Google AI”. It is whether you need an answer you can trace to a document you chose. If yes, the notebook, every time. If you are asking a question rather than interrogating a corpus, the app.
What actually decides it
- One is bounded, and that is the whole point
- Gemini Notebook answers only from sources you upload or import. It cannot reach for something it was never given, which makes a fabricated citation structurally much harder rather than merely less likely. Gemini answers from its training and the live web. If your question is "what does this contract say", the bounded tool is safer; if it is "what is the going rate for this clause", the bounded tool cannot help at all.
- The rename made them look like one product. They are not.
- Google renamed NotebookLM to Gemini Notebook on 16 July 2026, and notebooks now appear inside the Gemini app with cross-app syncing. That is genuine integration, and it is also why people now assume they are the same thing. They are not: the notebook is a research workspace scoped to a source set, the app is a general assistant, and asking either to do the other's job is where the disappointment comes from.
- Deep Research fixed the notebook's cold start
- The old objection to a source-bounded tool was that you had to find the sources first. Deep Research now runs inside the notebook — it plans, browses, returns a cited report and offers the sources for one-click import. That closes the loop the two products used to need each other for, and it is the strongest reason the notebook is no longer only for people who already have a folder of PDFs.
- Only one of them runs code against your material
- The rename shipped a real capability rather than a logo: every notebook now gets a secure cloud computer, so it can execute code to analyse the sources you gave it rather than only summarising them. For a spreadsheet, a dataset or a table buried in a PDF, that is a different class of answer from a chatbot describing what it thinks the numbers say.
- Both are free at the level most people need
- The notebook's free tier is 100 notebooks, 50 sources each, 50 chat queries and 3 Audio Overviews a day — checked against Google's own support documentation. Gemini has a free tier too. Google AI Pro at $19.99 a month raises limits on both at once, which is unusual: you are not choosing which one to pay for.
Which one to pick
Choose Gemini Notebook if…
- The answer has to be traceable to a document you chose
- You are studying, reviewing literature, or interrogating a long report
- You want an audio summary of your own material rather than a general explainer
- You need analysis run over data you supplied, not recalled from training
- You are working with material where an invented citation would be a serious problem
Choose Google Gemini if…
- You want general help, drafting or code, not grounded research
- The question needs current information you have not collected yourself
- You are already in Gmail, Docs or Search and want the assistant there
- You want one conversational tool rather than a workspace per project
Gemini Notebook vs Google Gemini FAQ
- Is NotebookLM now Gemini Notebook?
- Yes. Google announced the rename on 16 July 2026. It is the same product with the same notebooks — nothing to migrate, and old links redirect. Google stated more than 30 million people and 600,000 organisations were using it at the time, and that it remains a standalone product rather than being absorbed into the Gemini app.
- Which one hallucinates less?
- Gemini Notebook, in a specific and defensible sense: it answers only from sources you provided, so it cannot cite something that does not exist in your set. It can still misread a source, and you can check that in one click. Gemini reaches the open web and its own training, which is more useful and more exposed at the same time.
- Do I need both?
- Most people use both without thinking about it. The natural split is Gemini for questions and drafting, Gemini Notebook for anything where you need to know exactly which document an answer came from. Since Deep Research runs inside the notebook now, the old workflow of finding sources elsewhere and importing them is less necessary than it was.
- Is Gemini Notebook free?
- Yes. 100 notebooks, 50 sources per notebook, 50 chat queries a day and 3 Audio Overviews a day on the free tier, read off Google's own support documentation on 2 August 2026. Google AI Pro at $19.99 a month takes that to 500 notebooks and 300 sources per notebook, and Ultra's 30 TB plan reaches 600 sources.
- What about Perplexity?
- Different job again. Perplexity searches the live web and cites what it finds, which is closer to Gemini's role than the notebook's. We compare them in Perplexity vs Gemini, and the underlying rule is the same one: these tools divide by where the evidence comes from.