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AnthropicResearch & science

Claude for research & science

Family of language models from Anthropic that excels at long documents, careful reasoning, coding and reliable, safe output.

Recommended for research & science

Claude is strong at reading long documents and codebases and at careful, traceable reasoning; 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
1506Elo, 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
9,0
Entry price
$0
Full GDPR check

What Claude 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 Claude is strong
  • Reading long documents and codebases
  • Careful, traceable reasoning
  • Leading in software development
  • Reliable, safe output

Claude has a well-documented GDPR profile and, with the right business settings, is genuinely usable 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 Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data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.

Data is stored in the US by default; EU data residency is possible via AWS Bedrock or Google Vertex AI (EU region). Business tiers and the API do not train on your input; consumer tiers do, unless you opt out.

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$0Limited use via claude.ai
Pro$20 / month$17 with annual billing
Maxfrom $100 / month5x or 20x more usage than Pro
Team / APIfrom $20 / seatAnnual ($25 monthly); API per token, no training on data

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Professional tools that run on Claude

Writefullfree version with daily quotaConsensusfree plan (10 Pro messages per month)

Questions about Claude for research & science

Is Claude suitable for research & science?
Yes. Claude is strong at reading long documents and codebases and at careful, traceable reasoning, which fits research & science well. Always assess the specific task and keep a professional in the loop.
May I put confidential data into Claude?
Never use AI as a source: every reference must be traceable to the original article, because 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 of research participants, the GDPR and your own ethical review apply: running the model locally or using an EU-hosted tool with data minimisation is then the safe route. Finally, record your search strategy and your AI use: journals and funders increasingly ask for this, and a review must remain reproducible. By default, data is stored in the US; EU data residency is possible via AWS Bedrock or Google Vertex AI (EU region). Business tiers and the API do not train on your input; consumer tiers do, unless you opt out.
How much does Claude cost?
There is Free ($0), Pro ($20 / month), Max (from $100 / month), Team / API (from $20 / seat). Check current prices on the official site.
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