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Z.ai (GLM): reviews and analysis
The assistant behind the GLM models, with its weights published openly.
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Z.ai lets you try a top-tier AI with no account and publishes GLM-5.2's weights under the MIT license, which neither OpenAI nor Anthropic do with their flagships. The paid plan starts at $18 a month and buys quota for coding tools rather than a premium chat. Without signing in you get an older model, there is only a web version and the parent company is Chinese, so it is not the pick for client data.
Best for: Technical users watching the budget who want performance close to the big names for far less, or to serve the model on their own infrastructure.
What the internet says
The argument that repeats most is the price and openness equation: MIT-licensed weights anyone can download and an entry plan at $18 a month against the $20 the big names charge. The complaints repeat too, the free chat answers with an older model unless you create an account, there are no mobile apps, and the dependence on a Chinese company comes up as soon as the use stops being personal.
What the web repeats in favour
- GLM-5.2 weights are published on Hugging Face under the MIT license, so they can be downloaded, fine-tuned and served on your own infrastructure with commercial use allowed
- Price is the most cited reason to switch in technical forums: performance close to the closed models for a fraction of the monthly spend
- It holds up on long agentic tasks with a one-million-token context window, and it plugs into more than twenty third-party coding tools
- It can be tried with no account and no card, something neither ChatGPT nor Claude still offers so directly
What the web repeats against
- Without signing in the chat answers with GLM-4.7 rather than the flagship GLM-5.2, which shows in the picker but requires an account
- Data location is a recurring theme: the official policy says processing generally happens in Singapore, but the parent company is Chinese and that weighs on regulated work
- Downloading the weights is not the same as being able to run them: 753 billion parameters demand hardware out of reach for an individual or a small team
- There is only a web version, with no official iOS or Android apps outside China, and the interface is English only
- Part of the community places it a few months behind the frontier labs on architectural reasoning, useful but not first
Sweep sources: Official pricing · Docs · Docs · Communities · Communities · Press
Pros / Cons
Pros
- GLM-5.2 weights are open under the MIT license
- Free to try with no account and no card
- Performance close to the big names for far less money
Cons
- Without signing in it answers with GLM-4.7 rather than the flagship
- Web only, no mobile apps and an English-only interface
- Chinese parent company, a problem if you handle regulated data
TLDR: Z.ai is the web assistant from the Chinese company behind the GLM models, and its current flagship is GLM-5.2. You can use it free in the browser with no account, though in that mode you get answered by a previous-generation model. Its case against ChatGPT or Claude is not winning on quality but getting close for a lot less money, with the weights published openly. It pays off if you write code or want to serve a large model on your own infrastructure. It doesn’t if you need a phone app or you handle client data.
What Z.ai (GLM) is and how it works
GLM is the model family from Zhipu AI, the Beijing company that presents itself as Z.ai outside China. The assistant lives at chat.z.ai and behaves like any other AI chat, you type and it answers, with one difference: you pick which model you talk to. The selector holds GLM-5.2 as flagship, GLM-5.1 as previous flagship, two Turbo variants (one of them vision) and GLM-4.7, the classic that serves you by default when you arrive without an account.
What sets this house apart from the other large assistants sits outside the chat. GLM-5.2’s weights are published on Hugging Face under the MIT license, 753 billion parameters and a one-million-token context window. In practice that means anyone can download the model, fine-tune it and serve it on their own infrastructure, commercial use allowed, no permission needed. The assistants from OpenAI and Anthropic don’t offer that with their flagship models. That openness is why GLM shows up inside dozens of third-party tools, from code editors to inference providers.
The chat adds three modes with their own buttons: Magic Design for decks, Full-Stack to stand up a complete application and Write Code for one-off code. The product’s intent shows right there. This is an assistant aimed at building things rather than at conversation.
What it’s like to use day to day
The first visit surprises you with how little it asks. You open the page, type, and it’s already answering, no signup and no card. The detail the homepage doesn’t announce is which model you get, and without an account you get GLM-4.7. To talk to GLM-5.2, the one in the headlines and the benchmarks, you have to sign in. It’s still free, but it’s worth knowing before you judge answer quality, because plenty of people test the product on the previous generation without realising it.
Once you have an account, the flow is the one you know from any assistant. Where you can tell the product comes from the model world rather than the consumer world is the naming: five options with overlapping numbers (4.7, 5.1, 5.2 and two Turbos) force you to know what you’re picking.
The other friction is platform. There’s web and nothing else. No official iOS or Android app outside China, so the assistant stays on your desk while ChatGPT and Claude follow you onto the phone. If you work sitting down, that changes nothing. If you look things up on your feet, it’s a reason to walk away.
On long work it holds up. The technical community that has pushed it through agentic tasks places it among the best open models and one step below the closed frontier ones, at a distance measured in months rather than generations. Drafting, summarising or coding, that gap rarely shows. On hard architectural reasoning, it does.
Pricing and plans
The model is freemium: the web chat is free and the paid plan starts at $18 a month. There’s a wrinkle worth understanding before you reach for the card. That plan isn’t a premium chat tier along the lines of ChatGPT’s $20, it’s the GLM Coding Plan, a fee that buys model usage quota inside programming tools such as Claude Code and twenty-odd other integrations. If your use is going to be conversation in the browser, your natural door is the free tier, not the subscription.
The price drops if you commit: the official site discounts that $18 entry plan for committed monthly, quarterly and annual billing, and offers two higher tiers for heavy use. Each tier’s quota is expressed as prompts per rolling window of hours and it changes with releases, so check the official page the day you decide.
Who it’s for (and who it isn’t)
It’s for technical users watching the budget. A developer spending hundreds of dollars a month on coding agents finds performance close to that here for a fraction of it, and that’s the argument that repeats most in the communities where it gets compared to the usual subscriptions. It’s also for anyone who wants real sovereignty over the model, because if you can afford the hardware, open weights remove your dependence on the provider.
It isn’t for people who need the assistant in their pocket, nor for anyone who wants the product in their own language, since the interface is English. And there’s one clear case for ruling it out: work involving client data, records or regulated material. Its privacy policy says processing generally happens in Singapore and that API use stores no content, but the parent company is Chinese and that debate surfaces the moment the use stops being personal. If your company has a vendor policy, better to have that conversation before the tool is in the workflow.
Alternatives to Z.ai (GLM)
If you want the most rounded assistant for daily work, ChatGPT still asks the fewest questions of you, and Claude is the reference when the job is long text and document analysis. On the same ground of open models and aggressive pricing, Kimi plays a similar hand with a different technical bet. The detail is on the Z.ai alternatives page, and the wider field is in our guide to the best AI productivity tools.
Frequently asked questions
Can you use Z.ai for free?
Yes. The web chat works with no account and no card, under usage limits the company doesn’t publish as numbers. Creating a free account widens the access and includes the flagship model, so signing up is worth it even if you never pay.
Which model answers me if I don’t sign up?
GLM-4.7, the one the interface itself calls classic. GLM-5.2 appears in the list, but selecting it requires signing in. If you’re evaluating whether the product works for you, do it with an account or you’ll be judging the previous generation.
Where are my conversations processed?
Its privacy policy says processing generally happens in Singapore and that content isn’t stored in API use. Even so, it’s a Chinese company and that dependence is the point discussed most in professional forums. For sensitive data, the clean route is downloading the weights and serving them yourself.
Can I install GLM on my own server?
Yes, with caveats. GLM-5.2’s weights ship under the MIT license, which permits commercial use and modification. The caveat is hardware, because 753 billion parameters don’t fit on a normal computer and the community relies on dedicated servers or quantised versions that lose quality.
Is it worth switching from ChatGPT?
If you write code and the monthly spend stings, try it for a month against your real work. If your use is conversational and mobile, the switch takes comforts away without giving you anything clear back.