Home / Occupational health & absence management / GLM (Z.ai) for occupational health & absence management
Z.ai (Zhipu AI)
Occupational health & absence managementGLM (Z.ai) for occupational health & absence management
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 occupational health & absence management. Usable for general work, but first look at the options we recommend for occupational health & absence management.
- 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 occupational health & absence management
- Turn occupational health consultations into a draft report and work-focused feedback
- Summarise absence files and prepare consultations and evaluations
- Draft and check reintegration and UWV reports (second track, RIV)
- Analysing absence figures and flagging risks per department
- 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 occupational health & absence management.
Confidentiality and GDPR
GDPR: CautionOccupational health and absence data are health data and fall under medical confidentiality. The employer must not see a diagnosis, not even through an AI summary: keep medical and non-medical information strictly separated. Never use a free chatbot for consultations or case files. Sign a data processing agreement (DPA), require processing within the EU, no training on your data, and NEN 7510/ISO 27001, and ask which language models and sub-processors sit behind the service. Ask the employee for consent before any recording. Do not let AI independently assess an individual employee's fitness for work or absence risk: AI systems that influence decisions about employees can be high-risk under the EU AI Act. 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 occupational health & absence management
Claude for occupational health & absence managementAnthropic · editorial 9.01506
ChatGPT for occupational health & absenceOpenAI · edition 8.91485
Copilot for occupational health & absence managementMicrosoft · editorial 8.31485
Le Chat (Mistral) for occupational health & absence managementMistral AI · editorial 8.41426We are not aware of a professional tool for occupational health & absence management that publicly runs on GLM (Z.ai).
Questions about GLM (Z.ai) for occupational health & absence management
- Is GLM (Z.ai) suitable for occupational health & absence management?
- Not specifically. GLM (Z.ai) isn't on our list for occupational health & absence management; it's broadly applicable, but first look at the options we recommend for occupational health & absence management. Keep a professional in the loop for every use.
- May I put confidential data into GLM (Z.ai)?
- Occupational health and absence data is health data and falls under medical professional confidentiality. The employer must not see a diagnosis, not even via an AI summary: keep medical and non-medical information strictly separate. Never use a free chatbot for consultations or case files. Sign a data processing agreement, require processing within the EU, no training on your data, and NEN 7510/ISO 27001, and ask which language models and sub-processors sit behind it. Ask the employee for consent before a recording. Do not let AI itself assess an individual employee's fitness for work or absence risk: AI systems that influence decisions about employees may be high-risk under the EU AI Act. Check every report before it goes into the file. The international service Z.ai runs via 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 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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