Home / Construction & installation / GLM (Z.ai) for construction & installation
Z.ai (Zhipu AI)
Construction & installationGLM (Z.ai) for construction & installation
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 construction & installation. Usable for general work, but first look at the options we recommend for construction & installation.
- 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 construction & installation
- Draft quotes and cost estimates
- Process work orders and handover reports
- Coordinate planning and equipment
- Keep safety and quality documentation up to date
- 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 construction & installation.
Confidentiality and GDPR
GDPR: CautionConstruction drawings and tender documents are often confidential or commercially sensitive. Check where documents are processed and whether they are used for model training.
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 construction & installation
ChatGPT for construction & installationOpenAI · edition 8.91485
Copilot for construction & installationMicrosoft · editorial 8.31485
Claude for construction & installationAnthropic · editorial 9.01506
Gemini for construction & installationGoogle · editorial 8.61527We do not know of a professional tool for construction & installation that publicly runs on GLM (Z.ai).
Questions about GLM (Z.ai) for construction & installation
- Is GLM (Z.ai) suitable for construction & installation?
- Not specifically. GLM (Z.ai) isn't on our list for construction & installation; it's broadly applicable, but first look at the options we recommend for construction & installation. Keep a professional in the loop for every use.
- May I put confidential data into GLM (Z.ai)?
- Construction drawings and tender documents are often confidential or commercially sensitive. Check where documents are processed and whether they are used for model training. 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 in-house 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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