GLM-5.3 from Z.ai is one of the best open-weight models you can download. It came out in mid-August, it is cheap through the API at about $0.07 per million input tokens, and the full weights are on Hugging Face. It also has a reputation as one of the more cautious model families, which is why "GLM-5.3 uncensored" and "GLM-5.3 abliterated" keep getting searched.
We tested what GLM-5.3 actually refuses, looked at the uncensored versions people have uploaded, and compared both with an option that needs no hardware at all.
Is there an uncensored GLM-5.3?
Not from Z.ai. But because the weights are open, the community has been busy. Search Hugging Face for "GLM-5.3 abliterated" or "GLM-5.3 uncensored" and you will find several unofficial versions of the full model, uploaded from late August onwards, plus many more of the smaller GLM-5.3 Flash. Some of the Flash versions have tens of thousands of downloads.
The catch is size and testing. The full GLM-5.3 is about 750 billion parameters, so even a compressed abliterated copy is hundreds of gigabytes. GLM-5.3 Flash is smaller, at around 320 billion, but still far beyond a normal PC. And none of these community versions has been through an independent test such as the UGI leaderboard yet, so how willing and how smart they really are is anyone's guess. Check the uploader and the files before you download anything that size.
How cautious is GLM, really?
The UGI leaderboard (Uncensored General Intelligence) keeps its questions private and measures how far a model can be pushed before it refuses or quietly stops following instructions. That score, W/10, runs from 0 to 10. GLM-5.3 itself has not been tested yet, but the three releases before it have.
The newest GLM models are among the least willing on the whole board. GLM-5.2 manages 2.8 out of 10 with reasoning switched on and just 0.5 with it off. GLM-5.1 and GLM-5 top out at 1.2. For comparison, the community-made "GLM-4.6 Derestricted" scores up to 9.8, which shows how much of GLM's caution comes from training rather than ability. It also shows the cost: that derestricted model scores about 31 on UGI's intelligence test, against about 55 for GLM-5.2.
What GLM-5.3 refused in our test
We gave GLM-5.3 the same six legal but sensitive requests we give every model on our benchmark pages. An AI judge graded each reply against a fixed rubric, and we checked the grades by hand.
On these everyday "edgy but legal" requests GLM-5.3 did well. It answered all six in full. The only mark against it was the lock-picking walkthrough, where it added a section about ownership and legal permission that nobody asked for. Our six prompts are much milder than the UGI questions, so read this as "fine for normal use" rather than "uncensored".
The website it didn't finish
The more surprising result came from a plain task. We ask every model to build a complete single-file website for a fictional coffee shop: a menu with prices, opening hours and a booking form that works. Most models do it in one to three minutes.
GLM-5.3 thought about it for almost eight minutes, used 42,255 tokens on reasoning, and hit the 48,000-token limit before the HTML was finished. We ran it twice, the second time with double the room, and it never produced a usable page. Its coding was otherwise fine: the function it wrote for our small coding task passed all 15 hidden tests, and it got both of our trick questions right.
How smart GLM-5.3 is
On independent benchmarks collected by Epoch AI, GLM-5.3 is a strong model for the money: 90.9% on PhD-level GPQA Diamond science questions, 91.1% on AIME competition maths and 68.8% on unpublished FrontierMath problems. It sits a little behind the top closed models and the newest Kimi, and well ahead of most open models.
A simpler uncensored option
If you want GLM-class answers without refusals, and without renting a server for a 750-billion-parameter abliterated model, the practical choice is an uncensored assistant built on a different strong model. We put Cleus, our own uncensored AI chat, through exactly the same hands-on tests, using its Smartest v3 setting.
Cleus answered all six sensitive prompts in full with no unrequested warnings. It got both trick questions right and its code passed all 15 hidden tests, the same as GLM-5.3. On the website task it produced a complete, working page with a menu, hours and a booking form that shows a confirmation, where GLM-5.3 ran out of room.
What this does and doesn't prove: these are our own small tests, one run each in November 2026. They show Cleus holds its own against GLM-5.3 on everyday work and is more willing, not that it beats GLM on every benchmark. Cleus doesn't publish which models it runs on, and it is not a version of GLM. What it does differently is route each request so you get a strong answer without the refusal or the lecture, in one chat, with nothing to download.
You can test it yourself on our GLM-5.3 page, which puts any prompt to GLM-5.3 and Cleus side by side.
GLM-5.3 uncensored: common questions
Is there a GLM-5.3 uncensored or abliterated model? Yes, unofficially. Community abliterated and uncensored versions of GLM-5.3 and GLM-5.3 Flash are on Hugging Face. None is from Z.ai and none has been independently tested yet.
Can I run GLM-5.3 locally? Only on serious hardware. The full model is about 750 billion parameters and GLM-5.3 Flash about 320 billion, so even compressed versions need hundreds of gigabytes of memory.
Why does GLM refuse so much? On the UGI leaderboard, the GLM-5 family scores between 0.5 and 2.8 out of 10 for willingness, among the lowest on the board. It answers everyday requests fine but declines or softens early on sensitive topics.
Is GLM-5.3 open source? The weights are open and downloadable under Z.ai's own licence.
What is the best uncensored alternative to GLM-5.3? If you have the hardware and want to tinker, try an abliterated GLM-5.3 Flash, keeping in mind it is untested. If you want strong, unrefused answers with nothing to install, Cleus matched GLM-5.3 on our hands-on tests, answered every sensitive prompt without a lecture and finished the website task GLM didn't.
Sources
- GLM-5.3 weights on Hugging Face, Z.ai
- GLM-5.3 Flash on Hugging Face
- UGI Leaderboard (Uncensored General Intelligence) by DontPlanToEnd
- GLM-4.6 Derestricted v3 by ArliAI
- Epoch AI benchmarking hub
- GLM-5.3 on OpenRouter
- GLM-5.3 benchmarks, real answers and refusal test on Cleus
- Most uncensored AI models, ranked
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