How to Use GLM 5.2 Uncensored on Cleus

GLM 5.2 is Z.ai's newest flagship model — a 1M-token reasoning model built for long-horizon agent work, project-scale coding, and complex multi-step tasks. On Cleus you can run it uncensored, with no refusals bolted on top and full access to the agent's tools. This guide walks through what GLM 5.2 is good at, how to switch to it in Cleus, and how to get the most out of it.

What is GLM 5.2?

GLM 5.2 is the latest generation of the GLM ("General Language Model") family from Z.ai. A few things make it stand out:

1M-token context window — you can drop entire codebases, long PDFs, or months of notes into a single conversation and it keeps track of all of it.
Strong reasoning — it "thinks" through hard problems step by step instead of pattern-matching a quick answer, which shows up in math, logic, and debugging.
Agentic by design — it was trained for long-horizon, multi-step workflows: plan → act → observe → adjust. That's exactly the loop Cleus's agent runs on.
Excellent at code — project-level software engineering is one of its headline strengths, from writing new features to tracing bugs across many files.

In short: it's one of the best open-weight-lineage models for anything that needs depth rather than just speed.

What "uncensored" means on Cleus

Most hosted chat products wrap models in a second layer of guardrails that refuse, moralize, or water down answers. Cleus doesn't. When you select GLM 5.2 on Cleus, you get the raw model routed directly — so it will actually engage with security research, red-teaming, fiction with mature themes, blunt opinions, and edge-case questions that other assistants dodge.

That freedom cuts both ways: you're responsible for how you use it. Uncensored means unfiltered, not consequence-free — don't use it for anything illegal or harmful. Used well, it just means the model does what you actually asked instead of arguing with you.

How to use GLM 5.2 on Cleus

It takes about ten seconds.

Open the Cleus chat at cleus.ai/chat and sign in.
Click the model selector at the top of the chat (it shows your current model, e.g. "Cleus Agent").
Scroll to the standard-models section and pick GLM 5.2 — you'll see the Z-AI badge and "1M context."
Start typing. Your choice is remembered, so every new chat uses GLM 5.2 until you switch again.

That's it — no API keys, no config. Cleus handles routing, streaming, and billing behind the scenes.

What GLM 5.2 is best for

Here's where reaching for GLM 5.2 over a faster model pays off.

1. Project-scale coding

Paste a whole file (or several) and ask for a real change, not a snippet:

text
Here are my three route handlers. Add rate limiting shared across
all of them using a token bucket, keep the existing error shape,
and don't break the streaming response in the last one.

Because of the large context and code training, it reasons about your actual code instead of a generic example.

2. Long documents and research

Drop in a 200-page PDF, a contract, or a research paper and interrogate it:

"Summarize the argument, then list every claim that isn't backed by a citation."
"Compare sections 4 and 7 — do they contradict each other?"

The 1M context means it doesn't forget the beginning by the time it reaches the end.

3. Agentic, multi-step tasks

Pair GLM 5.2's planning ability with Cleus's tools (web research, file analysis, image/video/voice). Give it a goal, not just a question:

text
Research the top 5 open-source vector databases, build a comparison
table of features and license, then draft a short recommendation for
a team of 3 shipping a RAG app.

It'll plan the steps, run the research, and assemble the result.

4. Uncensored writing and analysis

Fiction with mature themes, unsparing critiques, security and threat-model walkthroughs, or just a straight answer with no lecture — GLM 5.2 on Cleus won't flinch or hedge.

Prompting tips

A few things that make a real difference with a reasoning model like this:

Give it room to think. For hard problems, add "reason step by step before answering." Reasoning models reward this more than fast models do.
Front-load your context. Paste code, data, or documents first, then ask the question. It anchors the model on your material.
Be specific about constraints. "Keep the existing API shape," "don't add dependencies," "match the surrounding style" — the model follows constraints well when you state them.
Use it for depth, switch for speed. For quick back-and-forth, a faster model is fine. Reach for GLM 5.2 when the task is big, gnarly, or long.

GLM 5.2 vs the other models on Cleus

Cleus gives you a whole shelf of models. Rough guide:

Model	Reach for it when…
GLM 5.2	Huge context, deep coding, long-horizon agent tasks
Cleus Smartest	You want Cleus's tuned reasoning stack
Cleus Fast	Quick, casual, high-volume chatting
DeepSeek / Kimi	Alternative reasoning styles worth A/B-testing
Claude / GPT / Gemini / Grok	You have a specific frontier-model preference

The best move is to try the same prompt on two of them — switching models mid-conversation on Cleus takes one click.

Use it in your own apps

If you're a developer, you don't have to stay in the chat UI. The Cleus Developer API exposes the same models through an OpenAI-compatible endpoint, so you can call GLM 5.2 from your own product with a single API key and pay only for what you use.

FAQ

Is GLM 5.2 free on Cleus? It runs on your Cleus credits/subscription like the other premium models — no separate signup or key needed.

Does the 1M context mean I can paste anything? You can paste a lot — whole codebases and long documents. Extremely large inputs cost more tokens, so trim to what's relevant when you can.

Is it really uncensored? Yes — Cleus routes the model without an extra refusal layer. Use it responsibly; you're accountable for your prompts and outputs.

Can I switch back? Anytime. Open the model selector and pick another model — even mid-conversation.

Ready to try it? Open Cleus, select GLM 5.2, and give it your hardest prompt.