Home / Non-profit & fundraising / GLM (Z.ai) for non-profit & fundraising

Z.ai (Zhipu AI)Non-profit & fundraising

GLM (Z.ai) for Non-Profit & Fundraising

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 non-profit & fundraising. Usable for general work, but first look at the options we recommend for non-profit & fundraising.

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 non-profit & fundraising

Core tasks in non-profit & fundraising
  • Grant and fundraising work: writing applications and matching funders
  • Donor management, segmentation and personalised follow-up
  • Creating campaign copy, newsletters and social media content
  • Drafting impact reports and annual reports
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) presents 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 non-profit & fundraising.

Confidentiality and GDPR

GDPR: Caution

Donor data is personal data under the GDPR; use only systems with a data processing agreement and preferably EU hosting. Automated donor profiling (wealth screening) can be sensitive: be transparent in your privacy policy. AI-written grant applications require human checking for accuracy and alignment with the organisation's identity.

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

Questions about GLM (Z.ai) for non-profit & fundraising

Is GLM (Z.ai) suitable for non-profit & fundraising?
Not specifically. GLM (Z.ai) is not on our list for non-profit & fundraising; it is broadly applicable, but first look at the options we recommend for non-profit & fundraising. Keep a professional in the loop for every use.
May I put confidential data into GLM (Z.ai)?
Donor data is personal data under the GDPR; use only systems with a data processing agreement and, preferably, EU hosting. Automated profiling of donors (wealth screening) can be sensitive: be transparent about it in your privacy policy. AI-written grant applications require human checks on factual accuracy and on alignment with your organisation's identity. 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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