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Inspiring AGI to Benefit Humanity - free AI chatbot & agent powered by GLM

Zhipu AI is a Chinese large language model provider that operates internationally under the name Z.ai. At its core is the GLM model family for text, reasoning, agents, coding, vision, OCR, image, video, and audio capabilities. The platform offers API access, coding plans, web search, Translation Agent, and Slide/Poster Agent.
Zhipu AI / Z.ai – GLM

LLM "Inspiring AGI to Benefit Humanity - free AI chatbot & agent powered by GLM"

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6.7/10 KIFOX Score – Solid

Location: China JINGSHENG HENGXING TECHNOLOGY PTE. LTD., 10 Anson Road, #26-03, International Plaza, Singapore 075903

Function Calling AI Agents LLM API Multimodal AI Open Source Model Programming Reasoning Model Language Model Text Generation
Free GLM-4.5-Flash / free quotas
Z.AI describes GLM-4.5-Flash as a free model variant for reasoning, coding, and agents; in addition, free trial quotas may be available depending on the platform status.
Subscription GLM Coding Plan
Personally assigned coding subscription for officially supported coding tools; not intended for general API use, resale, or use by third parties.
Other API Usage / Usage-Based Billing API access to GLM models, SDKs, OpenAI-compatible usage, streaming, function calling, structured output, context caching, and tool usage; billing is usage-based depending on the model and platform rules.

Enterprise / Individual Agreements Separate written agreements are possible; no confirmed information is available regarding standardized EU enterprise plans or EU hosting.

Target audience
Zhipu AI / Z.ai is aimed at developers, AI product teams, companies, agencies, and technically proficient users who want to use LLMs for coding, agents, tool calling, web search, document processing, and multimodal applications.

Outstanding features
The GLM family covers text, vision, OCR, image, video, audio, and agents. Z.ai is particularly strong in coding workflows, agentic engineering, long execution chains, API usage, and open models such as GLM-4.5 and GLM-5.

Main use cases
Typical applications include coding assistants, AI-powered web search, RAG, document analysis, presentation creation, translations, chatbots, image analysis, OCR, image and video generation, as well as multi-stage agent processes.

Usage & notes
The free chatbot or the API docs are suitable for quick tests. For productive use with EU data, however, companies should carefully review the DPA, subprocessors, hosting, transfer mechanisms, and training opt-out.

Target audienceAssessment
Private individualsConditionally – suitable for chat, coding, and experimentation, but primarily technical or developer-oriented.
Self-employed / freelancersYes, if API/coding use is relevant – useful for text, code, agents, research, and automation projects.
SMEsConditionally to yes – suitable for product-related LLM integration if data protection, provider location, and contractual terms are reviewed.
Large enterprisesConditionally – API DPA available, but additional reviews of SCCs, subprocessors, and governance are necessary for EU-regulated use.
Developers / teamsYes – strong focus on API, SDKs, OpenAI-compatible usage, function calling, structured output, and coding workflows.
Privacy-sensitive organizationsRather only conditionally – processing via Singapore; EU data residency, a DPA in line with German standards, and subprocessor transparency are not consistently guaranteed.

Model / familyTypeBest suited for
GLM-5.1Text/reasoning LLMCurrent top-tier GLM model for complex agent, coding, and reasoning tasks. (Z.AI)
GLM-5Flagship LLM, open according to the Z.ai blogAgentic engineering, complex software development, system design, autonomous workflows. (Z.AI)
GLM-5-TurboFaster GLM-5 modelTool calling, long agent chains, coding assistants, productive API workflows. (Z.ai)
GLM-4.7 / GLM-4.7-FlashX / GLM-4.7-FlashText modelsAll-round text, cost-efficient API usage, fast chat and assistant functions. (Z.AI)
GLM-4.6Text LLM with long contextCoding, smart office, translation, agents, long documents. (Z.AI)
GLM-4.5 / GLM-4.5-AirOpen MoE modelsSelf-hosting, research, agents, coding, reasoning; Air for more efficient deployments. (Hugging Face)
GLM-4.5-X / GLM-4.5-AirXPerformance/speed variantsHigh-performance API workloads, fast agent and coding workflows. (Z.AI)
GLM-4-32B-0414-128KMore compact text modelCost-effective LLM applications with long context. (Z.AI)
GLM-5V-TurboVision-language modelImage understanding, visual QA, multimodal agents. (Z.AI)
GLM-4.6V / GLM-4.6V-FlashX / GLM-4.6V-FlashVision-languageVisual reasoning, OCR-related tasks, image analysis, function calls with images. (Z.ai)
GLM-OCROCR/document modelPDF, image, and code block recognition, document extraction. (Z.AI)
AutoGLM-Phone-MultilingualAgent/VLM modelMobile agents, app control, multilingual smartphone workflows. (Z.AI)
GLM-Image / CogView-4Image generationText-to-image, creative image generation, marketing visuals. (Z.AI)
CogVideoX-3 / Vidu Q1 / Vidu 2Video generationText-to-video, image-to-video, start-to-end video generation. (Z.AI)
GLM-ASR-2512Audio / speech recognitionAudio transcription and speech recognition. (Z.AI)
GLM Slide/Poster AgentAgentPresentations, posters, visual office creation. (Z.ai)
Translation AgentAgentMultilingual translations and translation workflows. (Z.ai)

Hosting & Data

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
?

1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.

2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.

3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.

4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.

5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.

6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.

7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
On-prem / local hosting
Private cloud / data center
EU SaaS / Managed
Hybrid
DPA / AVV ⚠️
No training on customer data ⚠️
Open source / transparency path ⚠️

On-Prem / local hosting: indirect / not available

On-premise or local hosting of the Z.ai/GLM solution is not stated on the website. There are references to 'open-source' or 'open-weight' models, but there is no documented self-hosting or local deployment guide for the service evaluated here.

Private Cloud / data center: unclear

A dedicated private cloud, single-tenant, or specifically segregated data center option is not stated on the website.

EU SaaS / managed: indirect / not available

The website does not mention an EU-/EEA-based managed SaaS operation. Instead, it states that the services are generally provided from Singapore and that customer data is generally processed in Singapore.

Hybrid: unclear

A hybrid operating model with partly local/internal and partly external processing is not stated on the website.

DPA / DPA: partial

A DPA for API services is documented on the website and contains typical processor obligations. However, no separate DPA execution process, no downloadable contract document for customers, and no further EU-specific contractual documentation are stated on the website.

No training: partial

For API services, it is stated that End User Content is used only to provide the API services, to comply with law, to enforce policies, and to prevent abuse, and not to develop or improve the services except with explicit consent. For other website/product use outside the API context, an equally strong exclusion is not clearly documented on the website.

Open-source / transparency path: partial

The website repeatedly refers to 'open-source' or 'open-weight' in connection with model performance and mentions open or open-source tools such as OpenCode or Eigent as an integration path. However, a complete sovereign open-source/self-hosting path for the evaluated service itself is not stated on the website.

Data processing

For API services, the website describes processing under a processor model. According to the DPA, customer data is generally processed in Singapore. API input and output content is reportedly not stored, but processed in real time; other customer data may be stored temporarily for service provision or to fulfill legal obligations. For international data transfers, the website refers only generally to appropriate safeguards and legally recognized transfer mechanisms. Subprocessors and specific data center locations are not stated on the website.

Conclusion

From an EU-/EEA perspective, the documentation is not sufficient for GDPR-compliant use. Although privacy documents and a DPA for API services exist, the documented standard operation is in Singapore, without declared EU data residency, without EU data centers, without a proven European hosting path, and without clearly documented subprocessors or certifications. Therefore, no reliable positive GDPR assessment is documented for a European tool directory; the best path evidenced on the website is not sufficient.

Sources

On-prem / local hosting
Private cloud / data center
EU SaaS / Managed
Hybrid
DPA / AVV ⚠️
No training on customer data ⚠️
Open source / transparency path ⚠️

On-Prem / local hosting: indirect / not available

On-premise or local hosting of the Z.ai/GLM solution is not stated on the website. There are references to 'open-source' or 'open-weight' models, but there is no documented self-hosting or local deployment guide for the service evaluated here.

Private Cloud / data center: unclear

A dedicated private cloud, single-tenant, or specifically segregated data center option is not stated on the website.

EU SaaS / managed: indirect / not available

The website does not mention an EU-/EEA-based managed SaaS operation. Instead, it states that the services are generally provided from Singapore and that customer data is generally processed in Singapore.

Hybrid: unclear

A hybrid operating model with partly local/internal and partly external processing is not stated on the website.

DPA / DPA: partial

A DPA for API services is documented on the website and contains typical processor obligations. However, no separate DPA execution process, no downloadable contract document for customers, and no further EU-specific contractual documentation are stated on the website.

No training: partial

For API services, it is stated that End User Content is used only to provide the API services, to comply with law, to enforce policies, and to prevent abuse, and not to develop or improve the services except with explicit consent. For other website/product use outside the API context, an equally strong exclusion is not clearly documented on the website.

Open-source / transparency path: partial

The website repeatedly refers to 'open-source' or 'open-weight' in connection with model performance and mentions open or open-source tools such as OpenCode or Eigent as an integration path. However, a complete sovereign open-source/self-hosting path for the evaluated service itself is not stated on the website.

Data processing

For API services, the website describes processing under a processor model. According to the DPA, customer data is generally processed in Singapore. API input and output content is reportedly not stored, but processed in real time; other customer data may be stored temporarily for service provision or to fulfill legal obligations. For international data transfers, the website refers only generally to appropriate safeguards and legally recognized transfer mechanisms. Subprocessors and specific data center locations are not stated on the website.

Conclusion

From an EU-/EEA perspective, the documentation is not sufficient for GDPR-compliant use. Although privacy documents and a DPA for API services exist, the documented standard operation is in Singapore, without declared EU data residency, without EU data centers, without a proven European hosting path, and without clearly documented subprocessors or certifications. Therefore, no reliable positive GDPR assessment is documented for a European tool directory; the best path evidenced on the website is not sufficient.

Sources

Strengths & weaknesses at a glance

Strengths Weaknesses
• Very broad model portfolio. • GDPR situation for EU companies is not fully transparent.
• Well suited for coding, agents, tool use, web search, and multimodal workflows. • No publicly and clearly documented EU-only operation.
• Open model weights for GLM-4.5 and GLM-5 according to official sources. • Chinese provider with an international Singapore contract path; data transfers and subprocessors must be contractually reviewed.
• International API/developer documentation path available. • Many models/versions change quickly, so version control is important.

Data last updated: 6. May 2026

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