Home / Social domain & youth care / GLM (Z.ai) for social domain & youth care
Z.ai (Zhipu AI)
Social domain & youth careGLM (Z.ai) for Social Services & Youth Care
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 social domain & youth care. It's usable for general work, but first look at the options we recommend for social domain & youth care.
- 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 social domain & youth care
- Turn kitchen-table and intake interviews (Wmo, Jeugdwet, Participatiewet) into a draft report
- Preparing support plans, advice and decisions
- Quickly answering legal questions on the Participatiewet, Wmo, Jeugdwet and debt assistance, with a source
- Summarise and hand over files and reports in youth care and debt assistance
- 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) carries a concrete GDPR concern. Parent company Zhipu (Beijing) falls under Chinese data and security legislation, regardless of where the servers are located. For sensitive data, self-hosting the MIT-licensed weights is the recommended mitigation. Weigh this heavily before deploying it in social domain & youth care.
Confidentiality and GDPR
GDPR: CautionIn the social domain this involves special category personal data (health, debts, family situation, sometimes of children). Never use a free chatbot for conversations or files. Conclude a data processing agreement, require processing within the EU and no training on your data, ask which language models and sub-processors sit behind it, and carry out a DPIA. Ask the resident for consent before you record a conversation, and explain how long the recording and text are kept. Do not let AI itself judge whether someone is entitled to a provision or benefit: the EU AI Act classes systems that determine access to public services as high-risk, and the childcare benefits scandal shows what goes wrong without human checking. Register the application in the Algorithm Register and check every report before it goes into the file.
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 social domain & youth care
Claude for social domain & youth careAnthropic · editorial 9.01506
ChatGPT for social domain & youth careOpenAI · edition 8.91485
Copilot for social domain & youth careMicrosoft · editorial 8.31485
Le Chat (Mistral) for social domain & youth careMistral AI · editorial 8.41426We do not know of a professional tool for social domain & youth care that publicly runs on GLM (Z.ai).
Questions about GLM (Z.ai) for social domain & youth care
- Is GLM (Z.ai) suitable for social domain & youth care?
- Not specifically. GLM (Z.ai) is not on our list for the social domain & youth care; it is broadly usable, but first look at the options we recommend for the social domain & youth care. Keep a professional in the loop for any use.
- May I put confidential data into GLM (Z.ai)?
- In the social domain, you are dealing with special category personal data (health, debts, family situation, sometimes of children). Never use a free chatbot for conversations or case files. Sign a data processing agreement, require processing within the EU and no training on your data, ask which language models and sub-processors are involved, and carry out a DPIA. Ask the resident for consent before you record a conversation, and tell them how long the recording and text will be kept. Do not let AI itself assess whether someone is entitled to a benefit or allowance: the EU AI Act classes systems that determine access to public services as high-risk, and the childcare benefits scandal shows what goes wrong without human review. Register the application in the Algorithm Register and check every report before it goes into the file. The international service of 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 via 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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