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Z.ai (Zhipu AI)Pharmaceutical industry

GLM (Z.ai) for pharmaceutical industry

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 the pharmaceutical industry. Usable for general work, but first look at the options we recommend for the pharmaceutical industry.

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 pharmaceutical industry

Core tasks in the pharmaceutical industry
  • Finding and optimising targets, proteins and candidate molecules with AI models
  • Setting up clinical studies: recruiting patients, recording source data and monitoring data quality
  • Drafting regulatory documents (protocols, CSRs, dossiers) with traceable sources
  • Processing adverse event reports, coding them and detecting safety signals
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) 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 using it in the pharmaceutical industry.

Confidentiality and GDPR

GDPR: Caution

This sector involves health data of trial participants and patients (special category personal data under Article 9 GDPR) and confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and does not share data or models between customers, Cradle states that source data never goes to third-party AI models, Iris.ai hosts on AWS in Ireland and Germany. Biolevate and Ennov also run in private cloud or on-premises. With Veeva Vault AI and Yseop, texts go to Anthropic models via Amazon Bedrock; check the region and the data processing agreement. If you work in GxP processes, an AI tool must also be validated (EU GMP Annex 11) and a competent employee remains responsible. For AI in medicines development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles.

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 pharmaceutical industry

Claude for the pharmaceutical industryAnthropic · editorial 9.01506Gemini for the pharmaceutical industryGoogle · editorial 8.61526ChatGPT for the pharmaceutical industryOpenAI · edition 8.91485Copilot for the pharmaceutical industryMicrosoft · editorial 8.31485
All options for the pharmaceutical industry
Professional tools on GLM (Z.ai)

We do not know of a professional tool for the pharmaceutical industry that publicly runs on GLM (Z.ai).

Questions about GLM (Z.ai) for the pharmaceutical industry

Is GLM (Z.ai) suitable for the pharmaceutical industry?
Not specifically. GLM (Z.ai) is not on our list for the pharmaceutical industry; it is broadly deployable, but first look at the options we recommend for the pharmaceutical industry. Keep a professional in the loop for any use.
May I put confidential data into GLM (Z.ai)?
In this sector, the data concerns health data of trial participants and patients (special category personal data under art. 9 GDPR) and confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and shares no data or models between customers, Cradle states that source data never reaches third-party AI models, Iris.ai hosts on AWS in Ireland and Germany. Biolevate and Ennov also run in a private cloud or on-premises. With Veeva Vault AI and Yseop, texts go to Anthropic models via Amazon Bedrock; check the region and the data processing agreement in that case. If you work in GxP processes, an AI tool must also be validated (EU GMP Annex 11) and a competent employee remains responsible. For AI in drug development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles. The international service of 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.
Next stepAll 25 options for pharmaceutical industryProfessional tools and general assistants side by side, on GDPR profile, price and quality.

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