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Z.ai (Zhipu AI)Insurance sector

GLM (Z.ai) for the insurance sector

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.

Not specifically recommended

GLM (Z.ai) is not on our list for insurance. Usable for general work, but first look at the options we recommend for insurance.

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
Full GDPR check

What GLM (Z.ai) does in the insurance sector

Core tasks in the insurance sector
  • Assessing and routing claims (triage and allocation)
  • Detecting fraud and risk patterns in real time at underwriting and claims
  • Building premium calculations and bespoke underwriting models
  • Supporting insurance advisers with customer insight and cover advice
What GLM (Z.ai) is strong at
  • 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) is subject to 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 the insurance sector.

Confidentiality and GDPR

GDPR: Caution

AI systems for underwriting, premium calculation and claims handling fall under the EU AI Act (high risk for life insurance and health-related policies): human oversight, audit logs and explainability are mandatory. The DNB requires insurers to inform customers when AI has decision-making authority. Insurance data contains health and financial information, special category personal data under the GDPR. Only use solutions with a data processing agreement, EU hosting and explainable AI (XAI).

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.

Rule of thumb Use the business variant with a data processing agreement, and keep a human in the loop for decisions that matter.
Caution 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.

Prices

Z.ai ChatFreeFree chatbot at chat.z.ai with GLM-5.x
GLM Coding Plan Lite$18 / monthIntroductory promo $12.60/month; Pro $72 and Max $160 per month
API, GLM-5.3$1.40 / $4.40 per 1MSame price as GLM-5.2 (calls are forwarded to 5.3); GLM-5.3-Flash $0.15 / $0.50; GLM-5 $1.00 / $3.20; GLM-4.7-Flash free

Other models for the insurance sector

Claude for the insurance sectorAnthropic · editorial 9.01506ChatGPT for the insurance sectorOpenAI · edition 8.91485Copilot for the insurance sectorMicrosoft · editorial 8.31485Le Chat (Mistral) for the insurance sectorMistral AI · editorial 8.41426
All options for the insurance sector
Professional tools on GLM (Z.ai)

We are not aware of a professional tool for the insurance sector that runs publicly on GLM (Z.ai).

Questions about GLM (Z.ai) for the insurance sector

Is GLM (Z.ai) suitable for the insurance sector?
Not specifically. GLM (Z.ai) is not on our list for insurance; it is broadly deployable, but first look at the options we recommend for insurance. Keep a professional in the loop for every use.
May I put confidential data into GLM (Z.ai)?
AI systems for underwriting, premium calculation and claims handling fall under the EU AI Act (high risk for life insurance and health-related policies): human oversight, audit logs and explainability are mandatory. The DNB requires insurers to inform customers when AI has decision-making authority. Insurance data contains health and financial data, special category personal data under the GDPR. Only use solutions with a data processing agreement, EU hosting and explainable AI (XAI). 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 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.
Next stepAll 28 options for the insurance sectorProfessional tools and general assistants side by side, on GDPR profile, price and quality.C

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