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GoogleResearch & science

Gemini for research & science

Google DeepMind's natively multimodal model family, deeply integrated into Workspace, with a very large context window.

Recommended for research & science

Gemini is strong in native multimodality: text, images, audio, video and a very large context window; that suits literature searching and exploration with semantic search and citation networks.

GDPR profileOur summary of what the provider itself publishes about your data: EU hosting possible, no training on your data for business use, and self-hosting available. Caution applies to a model with a documented problem, such as an investigation by a regulator. How we measure
GDPR: Strong
QualityQuality from blind duels on LMArena: users choose between two anonymous answers. A difference of about 20 points is noticeable, a few points is noise. How we measure
1527Elo, independent
Editorial scoreOur own assessment on 10 of suitability for professional work, price and privacy. This is a judgement, not a measurement; that is why it always sits alongside the Elo. How we measure
8,6
Entry price
$0
Full GDPR check

What Gemini does in research & science

Core tasks in research & science
  • Literature search and exploration with semantic search and citation networks
  • Screening titles, abstracts and full texts for systematic reviews
  • Extracting and summarising data and study characteristics from papers
  • Writing and editing manuscripts, abstracts and research proposals
Where Gemini is strong
  • Natively multimodal: text, image, audio, video
  • Very large context window
  • Deep Google Workspace integration
  • Enterprise options via Vertex AI

Gemini has a strong published GDPR profile and, with the right business settings, is well suited to use in research & science.

Confidentiality and GDPR

GDPR: Strong

Never use AI as a source: every reference must be traceable to the original article, as fabricated or wrongly attributed citations are the most common error. Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data processing agreement, and check whether the provider stores your input or uses it for training (publishers usually prohibit this explicitly for peer review). If you work with personal data from research participants, the GDPR and your own ethics review apply: running models locally or using an EU-hosted tool with data minimisation is then the safe route. Finally, document your search strategy and your AI use: journals and funders increasingly ask for this, and a review must remain reproducible.

Via Vertex AI, processing can be pinned to EU regions (including the Netherlands). Enterprise data is not used for training; the free consumer app offers fewer guarantees (though stricter policies apply for the EU/EEA).

Rule of thumb Use the business variant with a data processing agreement, and keep a human in the loop for decisions that matter.

Prices

Free$0Free tier in the app
Google AI Plus€4.99 / monthEntry-level subscription; previously €7.99 (reduced June 2026)
AI Pro€21.99 / monthFormerly Gemini Advanced
AI Ultrafrom €99.99 / monthMost powerful consumer tier; €219.99/month for 2x limits
Workspace / APIPer seat / per tokenBusiness via Google Cloud, EU residency

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All options for research & science

Professional tools running on Gemini

Consensusfree plan (10 Pro messages per month)

Questions about Gemini for research & science

Is Gemini suitable for research & science?
Yes. Gemini is strong in native multimodality: text, images, audio, video and a very large context window, which fits research & science well. Always assess the specific task and keep a professional in the loop.
May I put confidential data into Gemini?
Never use AI as a source: every reference must be traceable to the original article, as fabricated or misattributed citations are the most common error. Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data processing agreement, and check whether the provider stores your input or uses it for training (publishers usually prohibit this explicitly for peer review). If you work with personal data of research participants, the GDPR and your own ethics review apply: running the tool locally or using an EU-hosted tool with data minimisation is then the safe route. Finally, document your search strategy and your AI use: journals and funders increasingly ask for this, and a review must remain reproducible. Via Vertex AI, processing can be pinned to EU regions (including the Netherlands). Enterprise data is not used for training; the free consumer app offers fewer guarantees (although stricter policies apply for the EU/EEA).
How much does Gemini cost?
There is Free ($0), Google AI Plus (€4.99 / month), AI Pro (€21.99 / month), AI Ultra (from €99.99 / month), Workspace / API (per seat / per token). Check current prices on the official site.
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