Kahubi vs Gemini

Gemini is a strong general assistant, and its Deep Research mode can produce long, sourced reports on almost any topic. For a research project the question is not whether the model is capable, but whether a general chat is the right place to keep your sources, data and manuscript. Here is an honest comparison.

What Gemini does well

Credit where it's due: these are real strengths, and for some workflows they are exactly what you need.

Long, sourced Deep Research reports that are a good starting point on a new topic
Tight integration with Google Docs, Gmail and Drive for people who live in Google Workspace
Very long context, so you can paste or upload large documents
Strong multimodal skills, including images and video

Where Kahubi differs

A report is a starting point; a study is a project

A Deep Research report is a one-off document. In Kahubi the same kind of question builds a library: papers are imported with their PDFs, you can screen them against inclusion criteria, and the agent cites them by name in your draft. Next month the sources are still there, organised and searchable.

Citations you can check, in your style

Kahubi cites only papers that actually exist in your library or that it fetched from OpenAlex and Semantic Scholar during the conversation. Citations are formatted in APA, Harvard, Vancouver or another style, and unsupported claims are marked [CITATION NEEDED] so nothing invented slips into a manuscript.

EU processing by default

Kahubi is run by Avidemic AB in Sweden. AI processing runs with European providers, interview audio is transcribed in the EU, and your content is never used to train models. For research data covered by an ethics approval, that is often the deciding factor.

Research methods that run

Statistics on your CSV files written up in APA format, interview transcription with speaker labels, thematic coding linked back to the transcript, and systematic review screening with PRISMA numbers. Gemini can explain these methods; Kahubi runs them on your data and puts the results in your draft.

Feature comparison

Capability	Gemini	Kahubi
Chats with your full library	Partialworks over files you attach or Drive content; no research library	Yesthe agent reads, searches, and cites your whole library
Edits a real LaTeX manuscript (compiled to PDF)	Partialcan write LaTeX source; no compiled, versioned manuscript	YesLaTeX → PDF compile built in, plus .docx and .tex export
Systematic review flow with PRISMA support	NoDeep Research reports are not a documented screening process	Yesdefine → search → screen → written review (PRISMA, MOOSE, Cochrane)
Statistics on your CSVs (t-tests, ANOVA, regression…)	Partialcan analyse uploaded data; no report pipeline into a draft	Yesfrom t-tests to PCA and Cronbach’s alpha, results land in your draft
Interview transcription processed in the EU	Partialcan transcribe audio; no EU research pipeline with coding	Yesspeaker labels, 99+ languages, EU-based providers
Learns your writing voice from your papers	No	Yesa style profile learned from your own publications

Last reviewed October 2026. Based on each product's public materials. Features change, so verify details on their site. Spotted something out of date? Tell us and we'll fix it.

Choose Gemini if…

You want a general assistant across Google Workspace and you mostly need overviews, summaries and quick drafts.

Choose Kahubi if…

You want a research workspace in the EU where sources, data, interviews and the manuscript live together, with citations that hold up to review.

Kahubi pricing

Simple monthly plans, cancel anytime. A real free tier to start with, and predictable monthly cost on every paid plan.

Free

$0/ month

Try Kahubi on a small project

Starter

$29/ month

For a single ongoing study

Growth

$59/ month

For active researchers

Max

$109/ month

For labs and heavy users

See full plan details →

Kahubi vs Gemini: common questions

Is Gemini Deep Research good enough for a literature review?

It is a useful first overview. A literature review for a thesis or journal needs a documented search, explicit inclusion criteria, every source read and checked, and citations in a fixed style. Kahubi’s systematic review flow handles those steps, and the EU living guidelines on generative AI in research say researchers stay responsible for checking every reference an AI produces.

Can I use Gemini with sensitive research data?

Check your institution’s agreement with Google first. Many universities allow some Google services and not others. Kahubi processes data with European providers, does not train on your content and transcribes interviews in the EU, which is what most ethics boards in Europe ask about.

Does Kahubi work with Google Docs?

Kahubi exports drafts as .docx, which opens in Google Docs, and as PDF or .tex. There is also a Kahubi add-in for Microsoft Word. Your library exports as BibTeX, RIS or CSL-JSON.

Which is cheaper?

Kahubi has a free plan with 25 AI messages a month and paid plans at $29, $59 and $109 per month. Check Google’s current Gemini plans on their site, since they change often.

Try the Kahubi side of the comparison

Sign up free, import your library in minutes, and run one real task (a screening round, an analysis, a draft) before you decide.