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"
Origin: China ⓘ JINGSHENG HENGXING TECHNOLOGY PTE. LTD., 10 Anson Road, #26-03, International Plaza, Singapore 075903
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 audience | Assessment |
|---|---|
| Private individuals | Conditionally – suitable for chat, coding, and experimentation, but primarily technical or developer-oriented. |
| Self-employed / freelancers | Yes, if API/coding use is relevant – useful for text, code, agents, research, and automation projects. |
| SMEs | Conditionally to yes – suitable for product-related LLM integration if data protection, provider location, and contractual terms are reviewed. |
| Large enterprises | Conditionally – API DPA available, but additional reviews of SCCs, subprocessors, and governance are necessary for EU-regulated use. |
| Developers / teams | Yes – strong focus on API, SDKs, OpenAI-compatible usage, function calling, structured output, and coding workflows. |
| Privacy-sensitive organizations | Rather only conditionally – processing via Singapore; EU data residency, a DPA in line with German standards, and subprocessor transparency are not consistently guaranteed. |
| Model / family | Type | Best suited for |
|---|---|---|
| GLM-5.1 | Text/reasoning LLM | Current top-tier GLM model for complex agent, coding, and reasoning tasks. (Z.AI) |
| GLM-5 | Flagship LLM, open according to the Z.ai blog | Agentic engineering, complex software development, system design, autonomous workflows. (Z.AI) |
| GLM-5-Turbo | Faster GLM-5 model | Tool calling, long agent chains, coding assistants, productive API workflows. (Z.ai) |
| GLM-4.7 / GLM-4.7-FlashX / GLM-4.7-Flash | Text models | All-round text, cost-efficient API usage, fast chat and assistant functions. (Z.AI) |
| GLM-4.6 | Text LLM with long context | Coding, smart office, translation, agents, long documents. (Z.AI) |
| GLM-4.5 / GLM-4.5-Air | Open MoE models | Self-hosting, research, agents, coding, reasoning; Air for more efficient deployments. (Hugging Face) |
| GLM-4.5-X / GLM-4.5-AirX | Performance/speed variants | High-performance API workloads, fast agent and coding workflows. (Z.AI) |
| GLM-4-32B-0414-128K | More compact text model | Cost-effective LLM applications with long context. (Z.AI) |
| GLM-5V-Turbo | Vision-language model | Image understanding, visual QA, multimodal agents. (Z.AI) |
| GLM-4.6V / GLM-4.6V-FlashX / GLM-4.6V-Flash | Vision-language | Visual reasoning, OCR-related tasks, image analysis, function calls with images. (Z.ai) |
| GLM-OCR | OCR/document model | PDF, image, and code block recognition, document extraction. (Z.AI) |
| AutoGLM-Phone-Multilingual | Agent/VLM model | Mobile agents, app control, multilingual smartphone workflows. (Z.AI) |
| GLM-Image / CogView-4 | Image generation | Text-to-image, creative image generation, marketing visuals. (Z.AI) |
| CogVideoX-3 / Vidu Q1 / Vidu 2 | Video generation | Text-to-video, image-to-video, start-to-end video generation. (Z.AI) |
| GLM-ASR-2512 | Audio / speech recognition | Audio transcription and speech recognition. (Z.AI) |
| GLM Slide/Poster Agent | Agent | Presentations, posters, visual office creation. (Z.ai) |
| Translation Agent | Agent | Multilingual translations and translation workflows. (Z.ai) |
Hosting & Data
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
| On-prem / local hosting | ✅ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ❓ |
| Hybrid | ✅ |
| DPA / AVV | ⚠️ |
| No training on customer data | ⚠️ |
| Open source / transparency path | ✅ |
Overall assessment:
Cloud/API LLM provider focused on GLM models, with no confirmed European hosting. Z.AI provides GLM models via an API platform, including GLM-4.5 variants for reasoning, coding, agents, function calling, structured output, context caching, web search, and streaming. Hosting model: SaaS/API; no confirmed information is available on on-prem, private cloud, or EU SaaS as a standard offering. Data processing: For API customers, the DPA states that Customer Data is processed to provide and support the API; according to the DPA, content that customers or end users provide or generate via the API is not stored on Z.AI servers but processed in real time. For individual users, however, User Content and usage data may be used to improve and develop the services, including model training. Deletion: API content is not supposed to be stored; other customer data may be stored temporarily for service provision or for legal reasons and deleted after the end of the contract.
Conclusion:
Interesting for developers and agentic applications, but only conditionally suitable for GDPR-critical EU use and recommended only after reviewing contracts, transfers, and security. Sources: Z.AI GLM documentation, Privacy Policy, and DPA.
| On-prem / local hosting | ✅ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ❓ |
| Hybrid | ✅ |
| DPA / AVV | ⚠️ |
| No training on customer data | ⚠️ |
| Open source / transparency path | ✅ |
Overall assessment:
Cloud/API LLM provider focused on GLM models, with no confirmed European hosting. Z.AI provides GLM models via an API platform, including GLM-4.5 variants for reasoning, coding, agents, function calling, structured output, context caching, web search, and streaming. Hosting model: SaaS/API; no confirmed information is available on on-prem, private cloud, or EU SaaS as a standard offering. Data processing: For API customers, the DPA states that Customer Data is processed to provide and support the API; according to the DPA, content that customers or end users provide or generate via the API is not stored on Z.AI servers but processed in real time. For individual users, however, User Content and usage data may be used to improve and develop the services, including model training. Deletion: API content is not supposed to be stored; other customer data may be stored temporarily for service provision or for legal reasons and deleted after the end of the contract.
Conclusion:
Interesting for developers and agentic applications, but only conditionally suitable for GDPR-critical EU use and recommended only after reviewing contracts, transfers, and security. Sources: Z.AI GLM documentation, Privacy Policy, and DPA.
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. |
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GDPR-compliant use possible?
Overall assessment: Conditionally GDPR-suitable. For the international GLM/Z.AI platform, the official privacy policy names JINGSHENG HENGXING TECHNOLOGY PTE. LTD. in Singapore as the responsible entity; according to the policy, personal data is generally processed in Singapore.
Positive is that Z.AI describes a Data Processing Addendum for API services in which Z.AI acts as a processor for customer data, processes customer data according to instructions, and states that it does not permanently store content from API inputs/outputs.
Negative is that the general Privacy Policy for individual users provides for the use of data to improve and train the models, and explicitly allows international transfers outside the user's country.
Server location: according to the official policy, generally Singapore; no verified information is available on EU hosting, EU data residency, a complete list of subprocessors, or specifically designated Standard Contractual Clauses for EU customers. For GDPR-relevant use, Z.AI should therefore only be used with an API DPA, a clear review of international transfers, a deletion concept, risk assessment, and without sensitive personal data. Sources: Z.AI Privacy Policy and DPA for API services.