Home / Research & science / GLM (Z.ai) for research & science
Z.ai (Zhipu AI)
Research & scienceGLM (Z.ai) for Research & Science
Chinese AI lab (Zhipu, international Z.ai) with the open-weight GLM family under MIT licence, particularly strong at programming and agent tasks at low prices.
GLM (Z.ai) isn't on our list for research & science. It's 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
- 1483Elo, 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
- 7,7
- Entry price
- Free
What GLM (Z.ai) does 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
- Top performance on coding and agent benchmarks at a fraction of the price
- GLM-5.2 is fully open-weight under the MIT licence
- 1 million tokens of context on the flagship
- Affordable Coding Plan subscriptions for tools such as Claude Code
GLM (Z.ai) raises a concrete GDPR concern. Parent company Zhipu (Beijing) falls under Chinese data and security law, wherever the servers are located. For sensitive data, self-hosting the MIT-licensed weights is the recommended mitigation. Weigh this heavily before deploying it in research & science.
Confidentiality and GDPR
GDPR: CautionNever 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 Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data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 Z.ai runs through JINGSHENG HENGXING TECHNOLOGY PTE. LTD. (Singapore); personal data is in principle processed in Singapore. According to the data processing agreement, API content is processed in real time and not stored. GLM-5.2 is open-weight under MIT and can therefore be fully self-hosted or hosted through an EU provider.
Prices
Other models for research & science
Claude for research & scienceAnthropic · editorial 9.01506
Gemini for research & scienceGoogle · editorial 8.61527
ChatGPT for research & scienceOpenAI · edition 8.91485
Le Chat (Mistral) for research & scienceMistral AI · editorial 8.41426We are not aware of a professional tool for research & science that runs publicly on GLM (Z.ai).
Questions about GLM (Z.ai) for research & science
- Is GLM (Z.ai) suitable for research & science?
- Not specifically. GLM (Z.ai) isn't on our list for research & science; it's broadly applicable, but first look at the options we recommend for research & science. Keep a professional in the loop for any use.
- May I put confidential data into GLM (Z.ai)?
- 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 prohibit this explicitly for peer review). If you work with personal data of research participants, the GDPR and your own ethics review apply: running locally or an EU-hosted tool with data minimisation is then the safe route. Finally, record your search strategy and your use of AI: journals and funders increasingly ask for this, and a review must remain reproducible. The international service Z.ai runs through JINGSHENG HENGXING TECHNOLOGY PTE. LTD. (Singapore); personal data is in principle processed in Singapore. According to the data processing agreement, API content is processed in real time and not stored. GLM-5.2 is open-weight under MIT and can therefore be hosted entirely yourself or through an EU provider.
- How much does GLM (Z.ai) cost?
- There is Z.ai Chat (Free), GLM Coding Plan Lite ($18 / month), API, GLM-5.3 ($1.40 / $4.40 per 1M). Check current prices on the official site.
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