Z.ai Chat is the first-party chat front end for the GLM model family, offering free access to open-weight frontier models for coding, long-horizon agent tasks, research and everyday questions.
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Z.ai Chat is the first-party GLM chatbot — the official chat interface for the GLM family of large language models. That distinction carries more weight than it might appear to, because most "free ChatGPT alternative" sites are resellers wrapping somebody else's API. This one is not: it is operated by the company that builds the models, and the front page states its purpose plainly — an AI assistant powered by GLM that lets you build websites, write code, handle long-horizon tasks, and get instant answers.
The corporate picture has three layers worth untangling, since each appears in a different place. The public brand is Z.ai. VentureBeat, reporting independently on the GLM-5.2 release, identifies the company as "Chinese AI startup Z.ai (formerly Zhipu AI)" — so Z.ai is the international-facing identity of the organisation previously known as Zhipu. The contracting and data-controlling entity, however, is neither of those names: the terms of service define Z.ai as the platform operated by JINGSHENG HENGXING TECHNOLOGY PTE.LTD, a Singapore company registered at International Plaza, and the privacy policy names that same entity as the controller responsible for processing your personal data. If your evaluation involves jurisdiction or data governance, the Singapore entity is the one that matters legally.
What distinguishes this product from the crowded field of free chat assistants is that the models underneath are largely open-weight. VentureBeat confirms that GLM-5.2's core weights were released under an unrestricted MIT open-source licence, downloadable from Hugging Face for local fine-tuning and self-hosting. The chat interface is therefore a convenient front door to a model you could, in principle, run yourself. Very few free assistants can say that.
One point of clarification up front, because it is the most common source of confusion: Z.ai runs two commercial tracks that are easy to conflate. The chat interface at chat.z.ai is the free consumer product. Separately, there is a paid developer platform — a token-metered API and a subscription-based GLM Coding Plan starting at $18 per month. Pricing figures in this article are labelled by track, because the API price list does not describe what you pay to use the chat window.
Rather than presenting one opaque "best model," Z.ai exposes the family and lets you pick. The official documentation frames current roles clearly: GLM-5.3 is described as the latest flagship, delivering comprehensive advancements in software engineering and agent capabilities; GLM-5V-Turbo is a multimodal coding model specialising in visual programming; GLM-Image supports text-to-image generation, claimed as open-source state-of-the-art in complex scenarios; and CogVideoX-3 handles video generation.
The chat interface carries a model selector at the top of the screen, so switching is a single click rather than a settings excavation. This matters more than it sounds: a lighter model is often faster and entirely adequate for routine questions, and being able to drop down a tier deliberately is a real ergonomic advantage.
The product's own title pairs "Chatbot" with "Agent," and the capability list leads with long-horizon tasks. This is the axis the company has invested in most visibly. VentureBeat's independent coverage of GLM-5.2 describes a model engineered specifically to dominate long-horizon autonomous coding and engineering tasks, and reports benchmark results on exactly that axis — 62.1 on SWE-bench Pro against GPT-5.5's 58.6, and 74.4% on FrontierSWE, a benchmark designed to test long-horizon task completion.
For subscribers there is an additional tool layer. The GLM Coding Plan grants exclusive MCP access covering Vision Understanding, Web Search, Web Reader and Zread — the capabilities that let a model look things up and read pages rather than answering purely from parameters.
VentureBeat's reporting credits GLM-5.2 with a highly stable one-million-token context window. Notably, this is not merely a headline number: the same coverage describes an architectural optimisation called IndexShare, which reuses the identical indexer across every four sparse attention layers and thereby reduces per-token compute by roughly 2.9 times at maximum context length. In other words, the long context is engineered to be economically usable rather than nominally available.
Writing code is not a side capability here — the product is positioned as much as a coding agent as a conversational assistant. The chat interface includes a dedicated ZCode entry point alongside the model selector, and the subscription product is explicitly built around development work. Per the official documentation, the GLM Coding Plan applies to coding tools such as Claude Code, Cline and OpenCode, supporting natural language programming — describing requirements in plain language to generate plans, write code and debug — plus real-time, context-aware code completion.
The chat interface pre-seeds five task shortcuts directly beneath the input box: landing pages, science explainers and lesson plans, 3D modelling, small games, and personal blogs. These are onboarding scaffolding rather than distinct features, but they are well chosen — each represents a build-something-complete task rather than a question-answering task, which nudges new users toward the product's actual strength.
The platform describes itself as tailored for Chinese and English users, and the rendered interface bears this out, mixing English controls with Chinese prompts and shortcuts. For anyone working across those two languages, a model whose training and product design both treat Chinese as first-class rather than an afterthought is a meaningful differentiator.
For those who want to build on the models rather than chat with them, the documentation lays out a complete path: a standard RESTful HTTP API compatible with all programming languages, official Python and Java SDKs, and OpenAI SDK compatibility for quickly migrating from OpenAI. The endpoint is api.z.ai/api/paas/v4/chat/completions, and the OpenAI-compatible shape means an existing integration often needs only a base URL and key swap.
The most substantiated use case. Between the ZCode surface, third-party tool integration, and benchmark performance concentrated on SWE-bench Pro and FrontierSWE, this is where the product is aimed and where independent evidence is strongest.
An underrated workflow specific to open-weight vendors. Because GLM weights are downloadable under MIT, teams considering self-hosting can use the free chat interface to assess a model's behaviour on their actual problems before committing infrastructure. The chat window becomes a zero-cost evaluation harness.
The published API rates put GLM-4.7 at $0.6 per million input tokens and $2.2 output, with several Flash-tier models listed at no charge. For high-volume, low-complexity workloads — classification, extraction, routine summarisation — that pricing changes what is economically viable.
With Web Search and Web Reader available as tools, the assistant can ground answers in retrieved pages rather than parametric memory alone. Useful for current-events questions and for literature scanning, with the standard caveat that retrieval reduces but does not eliminate fabrication.
The Chinese-English orientation makes this a practical choice for translation, cross-language drafting, and localisation review — tasks where models trained primarily on English data often produce technically correct but tonally off Chinese.
Drafting, rewriting, explaining, brainstorming. The unglamorous majority of assistant usage, served competently and at no cost.
Navigate to chat.z.ai. The interface presents an input box, a model selector and the five task shortcuts. Starting with a shortcut is a reasonable first move: they demonstrate the product's build-something orientation faster than an open-ended question does.
Use the model selector rather than accepting the default. For a quick factual question, a lighter model responds faster; for a multi-step coding task, select the flagship. Developing the habit of matching the model to the task is the single biggest quality-per-second improvement available.
The product is optimised for extended autonomous work. Instead of asking a series of small questions, describe the complete objective, the constraints, and what a finished result looks like. This plays to the architecture rather than against it.
For anything time-sensitive or externally verifiable, use the web search and reading capabilities rather than relying on the model's training data. Any model's parametric knowledge has a cutoff; retrieval is how you work around it.
The interface itself carries a persistent notice stating that all content is AI-generated and provided for reference only. Treat that as operative guidance rather than legal boilerplate — particularly for code, figures and citations.
If you find yourself using the chat window as a workflow rather than a novelty, the two paid tracks await. The API is token-metered for programmatic integration; the GLM Coding Plan is a subscription for use inside Claude Code, Cline and similar tools. Read the quota mechanics in the Limitations section before choosing.
This is the most actionable and least advertised tip. The documentation states that during off-peak hours, model usage is charged at 50% of the standard credit rate, with peak hours defined as Monday to Friday, 14:00–18:00 Singapore Standard Time. Shifting batch work outside that four-hour weekday window literally doubles your effective quota. No third-party review of this product mentions it.
Subscription quota is denominated in credits, calculated as input tokens times an input multiplier plus cached input times its multiplier plus output tokens times an output multiplier, all divided by 10,000. Output is weighted far more heavily than input — for GLM-5.3 the multipliers are 6.9 input, 1.7 cached, 24 output. The practical consequence: verbose outputs cost dramatically more than long inputs. Asking for concise answers is a quota strategy, not just a style preference.
Cached input is priced at a fraction of fresh input, both in the API price list and in the credit multipliers. If you repeatedly send the same system prompt or document, structuring requests so that stable content sits where it can be cached materially reduces cost.
Several models are listed at zero cost in the official price table. For high-volume simple tasks, routing to a free Flash tier and reserving the flagship for genuinely hard problems is straightforward economics.
Model availability differs by track. VentureBeat reported that GLM-5.3 was initially available only through the GLM Coding Plan and ZCode environment, with API access and open weights following later. Check which surface exposes the model you want before planning around it.
If self-hosting is under consideration, use the free interface systematically — same prompts, same rubric, across model tiers — before downloading weights. It is the cheapest possible pre-deployment evaluation.
The terms explicitly authorise use of non-personal User Content to develop and improve the company's machine learning and AI technologies. That is standard for free consumer AI products, and it is also a reason to keep proprietary code and confidential documents out of the free chat window.
Developers and engineering teams. The strongest fit by a wide margin. Between coding-focused benchmarks, third-party tool integration and aggressive pricing, the product is built around this audience.
Teams evaluating open-weight models. Anyone whose procurement path might end in self-hosting benefits from a free, first-party interface to models they can later download under MIT.
Cost-sensitive builders. Startups and individuals for whom frontier-model API pricing is prohibitive, and anyone who simply wants a capable free AI assistant without a subscription. The published rates and free tiers change the arithmetic substantially.
Chinese-English bilingual users. A model designed with Chinese as a first-class language rather than a translation target.
Researchers and analysts. Retrieval tooling plus a very large context window suits document-heavy analytical work.
Who should look elsewhere. Anyone requiring the deepest third-party plugin ecosystem will still find ChatGPT ahead. Organisations with policies restricting data processing by Chinese-affiliated companies need to evaluate the Singapore entity structure against their own compliance rules rather than assuming Singapore incorporation settles the question. Anyone needing documented enterprise guarantees — SLAs, audited compliance certifications — should verify those separately, as the public documentation reviewed here does not cover them.
Z.ai Chat is a browser-based web application at chat.z.ai. The surrounding properties split by function: z.ai hosts the marketing site, subscription entry and technical blog; docs.z.ai carries developer documentation; api.z.ai serves API traffic; and the legal agreements live under chat.z.ai/legal-agreement/.
API access is designed for portability. The documentation provides a standard RESTful HTTP API compatible with all programming languages, official Python and Java SDKs, and OpenAI SDK compatibility explicitly framed as a migration path, with the endpoint at api.z.ai/api/paas/v4/chat/completions.
Reach extends well beyond first-party surfaces. VentureBeat reported that GLM-5.2 was available immediately on Hugging Face, the Z.ai API, and more than 20 third-party coding environments — meaning you can often use these models inside tools you already have. The subscription documentation names Claude Code, Cline and OpenCode among supported clients, and the subscription page adds Kilo Code and others.
The interface is bilingual, with the platform describing itself as tailored for Chinese and English users. This documentation reviewed no native mobile applications, and no claim is made about mobile app availability.
Three tracks, priced differently. Conflating them is the most common error in third-party writeups of this product.
The chat interface is free. Z.ai's own console messaging describes the product as a free, open-source-based ChatGPT alternative. The public documentation reviewed here does not publish message caps or rate limits for the free chat tier, so no specific limit is stated — absence of a published limit is not evidence that none exists.
The API is token-metered, with rates per million tokens: GLM-5.3 and GLM-5.2 at $1.4 input and $4.4 output; GLM-5 at $1 and $3.2; GLM-4.7 at $0.6 and $2.2; GLM-4.7-FlashX at $0.07 and $0.4. Cached input is far cheaper — $0.26 for the flagship tier — and cached input storage is listed as free for a limited time. Notably, GLM-4.7-Flash, GLM-4.5-Flash and GLM-4.6V-Flash are listed as free across input and output. Multimodal capabilities are priced separately: web search at $0.01 per use, GLM-Image at $0.015 per image, CogVideoX-3 at $0.2 per video, and GLM-ASR-2512 at roughly $0.0024 per minute.
The GLM Coding Plan is a subscription starting at $18 per month per the official subscription page, covering GLM-5.3, GLM-5.2 and GLM-5-Turbo inside Claude Code, Kilo Code, Cline, OpenCode and others. It comes in three tiers with dual quotas — Lite at 2,000 five-hour credits and 10,000 weekly; Pro at 12,000 and 60,000; Max at 28,000 and 140,000. Five-hour credits refresh dynamically five hours after consumption; weekly credits reset every seven days from subscription. The off-peak discount described in the tips section effectively doubles capacity for work scheduled outside Singapore weekday afternoons.
For context on pricing volatility, VentureBeat's June 2026 coverage cited enterprise subscription tiers starting at $12.60 per month, below the $18 currently listed. Promotional pricing evidently moves; check current rates rather than relying on any figure quoted in an article, including this one.
ChatGPT remains the benchmark for breadth — the largest plugin and integration ecosystem, the most polished mobile experience, the deepest third-party tooling. Z.ai competes on price and on open weights, not on ecosystem maturity.
Claude is the common comparison for coding and long-document work, and notably the GLM Coding Plan is designed to run inside Claude Code — the products are as much complements as competitors for developers who want to keep their tooling while changing the model behind it.
DeepSeek is the closest structural analogue: another Chinese lab shipping strong open-weight models with aggressive pricing. The choice between them typically comes down to benchmark fit for your specific workload rather than any categorical difference.
Gemini offers deep Google Workspace integration and very large context. VentureBeat's benchmark reporting placed GLM-5.2 well ahead of Gemini 3.1 Pro on Terminal-Bench 2.1 — 81.0 versus 74.0 — though benchmark leads are narrow and shift with each release.
Self-hosting GLM directly deserves mention as the alternative unique to this vendor. Because the weights are MIT-licensed on Hugging Face, an organisation can run the same model on its own infrastructure — no vendor lock-in, no data leaving the perimeter, at the cost of GPU capacity and operational effort.
The honest summary: Z.ai Chat's differentiators are open weights, aggressive pricing and coding-focused agent capability. Its disadvantages relative to ChatGPT are ecosystem depth and mobile polish. For a specific and growing audience — developers who care about cost and portability — that trade is favourable.
Vendor materials and enthusiast coverage tend to present a clean sweep. The independent reporting is more textured. VentureBeat's own benchmark table shows GLM-5.2 winning decisively on some measures — SWE-bench Pro 62.1 against GPT-5.5's 58.6 — while trailing on others: on raw Terminal-Bench 2.1 scores it reached 81.0 against Claude 4.8's 85.0 and GPT-5.5's 84.0. It leads Gemini 3.1 Pro substantially on the same measure. The accurate reading is "competitive at the frontier with a specific strength in long-horizon coding," not "beats everything." Benchmarks also age quickly.
The open-weight story carries an important asterisk. VentureBeat reported that GLM-5.3 was available initially only through the GLM Coding Plan and ZCode environment, with API access and open weights coming later once safety evaluation and hardening are complete, and that the company planned to release weights approximately two weeks after launch. So the newest model is temporarily a closed, subscription-gated product. If your plan depends on weights being downloadable, verify availability for the specific version rather than assuming the family's licensing applies uniformly.
Two documented rules deserve attention before subscribing. The GLM Coding Plan is strictly limited to use within officially supported tools and products, and subscribers are told they shall not use subscription benefits in any unsupported tools or scenarios — this is not a general-purpose credit balance. And when quota runs out, per the official FAQ, you must wait until the next five-hour cycle to refresh, and the system will not deduct from your account balance. That is arguably user-friendly, since it prevents surprise charges, but it also means hitting the ceiling stops your work rather than degrading it.
Each plan carries both a five-hour limit and a weekly limit. It is entirely possible to have weekly quota remaining while being blocked by the five-hour window, or vice versa. Anyone planning intensive bursts should model both constraints.
On ownership the terms are reassuring: you retain all rights, title, and interest in the Prompts you submit and the Outputs generated at your request. On training they are less so. The terms require explicit authorisation for the company to use and store User Content that does not constitute personal data for the purpose of developing and improving its machine learning and artificial intelligence technologies. The privacy policy separately lists training and improving models among its legitimate-interest purposes, and states that publicly available internet information may be obtained to train models. No opt-out is documented in the material reviewed. For free-tier consumer AI this is unremarkable, but it should inform what you paste into the window.
There is no stated minimum registration age. The terms say only that if you are a minor under the laws of your country or state of residence, you should review these Terms with your legal guardian — guidance, not a gate. The only firm age-linked rule is a prohibition on users processing or storing personal information of children under 13 in a manner that violates COPPA, which constrains what users may do rather than who may register. Parents evaluating this tool should not read the absence of a gate as an assurance of suitability.
Three names attach to this product: the Z.ai brand, the former identity Zhipu AI, and the Singapore contracting entity JINGSHENG HENGXING TECHNOLOGY PTE.LTD, which is also the named data controller. For most individual users this is irrelevant; for organisations with data-residency or country-of-origin policies, it is not, and Singapore incorporation does not by itself resolve questions about a company VentureBeat describes as a Chinese AI startup. Evaluate against your actual policy rather than a single line in a footer.
The privacy policy allows disclosure to any business partner, investor, assignee or transferee to facilitate business asset transactions, extending to merger, acquisition, or debt or asset sale. Standard in the industry, and worth knowing: your data's custodian may change without your involvement.
A persistent notice at the bottom of the chat interface states that all content is AI-generated and for reference only. The product does not claim accuracy, and neither should you on its behalf.
The public documentation is thorough about API rates, credit multipliers and quota mechanics — and comparatively silent about the free chat product's own limits. Free-tier message caps, rate limits and data-retention periods for chat conversations were not found in the material reviewed. That is an information gap, stated here rather than filled with guesswork.
Across a single research session, this product surfaced GLM-5.2 in its page title, GLM-4.7 in its model selector, and GLM-5.3 in its blog link and documentation. Version references in any secondary source — including this page — date quickly. Check the interface itself for what is currently served.
The chat interface is free to use, and the platform's own console messaging describes it as a free, open-source-based ChatGPT alternative. Two clarifications matter. First, "free" applies to the chat product; the API is token-metered and the GLM Coding Plan is a paid subscription from $18 per month. Second, the public documentation reviewed here does not publish message caps or rate limits for the free tier, so no specific limit can be quoted — that is a gap in available information rather than a guarantee of unlimited use.
Yes, this is first-party. VentureBeat, reporting independently, identifies the company as Chinese AI startup Z.ai, formerly Zhipu AI — the organisation that develops the GLM models. The contracting and data-controlling entity named in the terms and privacy policy is a Singapore company, JINGSHENG HENGXING TECHNOLOGY PTE.LTD. So: Z.ai is the brand, Zhipu AI the former name, and the Singapore entity the legal counterparty.
The documentation currently frames GLM-5.3 as the flagship for software engineering and agent work, GLM-5V-Turbo for visual programming, GLM-Image for text-to-image, and CogVideoX-3 for video. The chat interface includes a model selector, and the API price list covers a wider set including GLM-5.2, GLM-5, GLM-4.7 and free Flash tiers. Availability differs by track — GLM-5.3 launched on the Coding Plan and ZCode before API and open weights.
Largely, with a timing caveat. VentureBeat confirmed GLM-5.2's core weights were released under an unrestricted MIT licence and are downloadable from Hugging Face for self-hosting and fine-tuning. However the same outlet reported GLM-5.3 shipped first as a subscription-only product, with weights planned roughly two weeks after launch pending safety evaluation. Verify licensing for the specific version you need.
Per million tokens: GLM-5.3 and GLM-5.2 at $1.4 input and $4.4 output; GLM-5 at $1 and $3.2; GLM-4.7 at $0.6 and $2.2; GLM-4.7-FlashX at $0.07 and $0.4. Cached input costs substantially less. GLM-4.7-Flash, GLM-4.5-Flash and GLM-4.6V-Flash are listed as free. Tools and media are separate: web search $0.01 per use, GLM-Image $0.015 per image, CogVideoX-3 $0.2 per video.
Each tier carries two simultaneous limits. Lite provides 2,000 five-hour credits and 10,000 weekly; Pro 12,000 and 60,000; Max 28,000 and 140,000. Five-hour credits refresh five hours after consumption; weekly credits reset every seven days. Credits are computed from input, cached input and output tokens times per-model multipliers divided by 10,000, with output weighted heaviest. Crucially, off-peak usage is charged at 50% of the standard rate, with peak defined as Monday to Friday 14:00–18:00 Singapore time.
You wait. The official FAQ states the system will not deduct from your account balance, and that once quota is used up you must wait until the next five-hour cycle for it to refresh. This prevents unexpected charges but also means work stops rather than continuing at a lower tier. Note too that the plan is strictly limited to officially supported tools.
Effectively yes. The terms require you to authorise use and storage of User Content that does not constitute personal data for developing and improving the company's machine learning and AI technologies, and the privacy policy lists training and improving models among its purposes. No opt-out appears in the reviewed documentation. Keep confidential material out of the free chat product.
No explicit minimum age is stated. The terms say only that minors under the laws of their country or state should review the terms with a legal guardian, which is guidance rather than a restriction. The one firm rule prohibits processing or storing personal information of children under 13 in a manner violating COPPA — a constraint on user conduct, not a registration gate.
Yes, and this is a deliberate design goal. The GLM Coding Plan supports Claude Code, Kilo Code, Cline and OpenCode among others, and VentureBeat reported GLM-5.2 was available on launch across more than 20 third-party coding environments. For direct integration, the API is OpenAI SDK-compatible, so migrating an existing OpenAI integration is often a matter of changing the base URL and key.
