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Z.ai (Zhipu AI)Banks & fintech

GLM (Z.ai) for banks & fintech

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) isn't on our list for banking & fintech. Usable for general work, but first look at the options we recommend for banking & fintech.

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 banks & fintech

Core tasks in banking & fintech
  • Identify and verify customers during onboarding (KYC/KYB, document checks, liveness)
  • Monitor transactions for money laundering and terrorist financing and reduce false alerts
  • Screen customers and payments against sanctions lists, PEPs and adverse media
  • Detect fraud, scams and account takeover in real time and investigate alerts
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 deploying it in banks & fintech.

Confidentiality and GDPR

GDPR: Caution

You process identity documents, biometrics and transaction data: choose providers with EU data location, ISO 27001 and a data processing agreement, and ask whether customer data is used to train the provider's models. Outsourcing critical processes falls under the DORA and EBA rules, so secure exit and audit rights in writing. Creditworthiness assessment of natural persons is a high-risk application under the EU AI Act. For transaction monitoring, the supervisor expects you to explain why an alert is or isn't triggered, a human to decide on a report to the FIU, and that you test the model for unequal treatment of customer groups.

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 banking & fintech

Claude for banking & fintechAnthropic · editorial 9.01506Copilot for banking & fintechMicrosoft · editorial 8.31485Le Chat (Mistral) for banking & fintechMistral AI · editorial 8.41426Perplexity for banking & fintechPerplexity AI · editorial 8.0–
All options for banking & fintech
Professional tools on GLM (Z.ai)

We are not aware of a professional tool for banks & fintech that publicly runs on GLM (Z.ai).

Questions about GLM (Z.ai) for banks & fintech

Is GLM (Z.ai) suitable for banks & fintech?
Not specifically. GLM (Z.ai) isn't on our list for banking & fintech; it's broadly applicable, but first look at the options we recommend for banking & fintech. Keep a professional in the loop for every use.
May I put confidential data into GLM (Z.ai)?
You process identity documents, biometrics and transaction data: choose providers with EU data location, ISO 27001 and a data processing agreement, and ask whether customer data is used to train the provider's models. Outsourcing critical processes falls under the DORA and EBA rules, so record exit and audit rights. Creditworthiness assessment of natural persons is a high-risk application under the EU AI Act. For transaction monitoring, the supervisor expects you to be able to explain why an alert is or is not triggered, that a human decides on a report to the FIU, and that you test the model for unequal treatment of customer groups. 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.
Next stepAll 26 options for banking & fintechProfessional tools and general assistants side by side, by GDPR profile, price and quality.

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