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Moonshot AIResearch & science

Kimi for research & science

Chinese AI lab (Moonshot AI) with the open-weight Kimi K2 family and an assistant that focuses strongly on agents, deep research and long documents.

Not specifically recommended

Kimi is not on our list for research & science. Usable for general work, but first look at the options we recommend for research & science.

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: Caution
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
1487Elo, 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
7,6
Entry price
Free
Full GDPR check

What Kimi 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 Kimi excels
  • Flagship K3 (2.8T parameters, 1M context) and open-weight K2.6 are self-hostable
  • Multimodal: text, image and video in one architecture
  • Strong in agent work and deep research
  • Affordable API with substantial cache discounts

Kimi raises a specific GDPR concern. The parent company is based in Beijing and falls under Chinese security legislation; the privacy policy does not explicitly name that jurisdiction. Keep confidential data out of the consumer app; self-hosting the open weights is the safe route. Weigh this heavily before using it in research & science.

Confidentiality and GDPR

GDPR: Caution

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 Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data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.

The international service is provided by Moonshot AI Pte. Ltd. (Singapore); according to the privacy policy, data is stored on servers in Singapore and content may be used to improve the service. The K2 models are open-weight and can be self-hosted.

Rule of thumb Use the business variant with a data processing agreement, and keep a human in the loop for decisions that matter.
Caution The parent company is based in Beijing and falls under Chinese security legislation; the privacy policy does not explicitly name that jurisdiction. No confidential data in the consumer app; self-hosting the open weights is the safe route.

Prices

Kimi (free)FreeBasic chat on kimi.com
Moderato$19 / monthK2.6, Deep Research, Kimi Code and agent credits; $15/month when paid annually
API, Kimi K3$3.00 / $15.00 per 1MNewest flagship; cached input $0.30 per 1M, via platform.kimi.ai
API, Kimi K2.6$0.95 / $4.00 per 1MBudget option; cached input $0.16 per 1M, via platform.kimi.ai

Other models for research & science

Claude for research & scienceAnthropic · editorial 9.01506Gemini for research & scienceGoogle · editorial 8.61527ChatGPT for research & scienceOpenAI · edition 8.91485Le Chat (Mistral) for research & scienceMistral AI · editorial 8.41426
All options for research & science
Professional tools on Kimi

We do not know of a professional tool for research & science that runs publicly on Kimi.

Questions about Kimi for research & science

Is Kimi suitable for research & science?
Not specifically. Kimi is not on our list for research & science; it is broadly usable, but first look at the options we recommend for research & science. Keep a professional in the loop for every use.
May I put confidential data into Kimi?
Never use AI as a source: every reference must be traceable to the original article, because invented or wrongly attributed citations are the most common error. Unpublished data, research proposals and peer review manuscripts are confidential or commercially sensitive, 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 explicitly forbid this for peer review). If you work with personal data of research participants, the GDPR and your own ethics review apply: running 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. The international service is provided by Moonshot AI Pte. Ltd. (Singapore); according to the privacy policy, data is stored on servers in Singapore and content may be used to improve the service. The K2 models are open-weight and can be self-hosted.
How much does Kimi cost?
There is Kimi (free) (Free), Moderato ($19 / month), API, Kimi K3 ($3.00 / $15.00 per 1M), API, Kimi K2.6 ($0.95 / $4.00 per 1M). Check current prices on the official site.
Next stepAll 30 options for research & scienceProfessional tools and general assistants side by side, on GDPR profile, price and quality.

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