AI Is Lying? The 3x Gap Between GPT-5.5 and GLM-5.2

Imagine this: You ask an AI to write code for your work. But the AI replies, “That’s probably not what you really want. I’ll take care of it for you,” completely ignoring your instructions and producing an unexpected result.

This is a dilemma many developers using AI are currently facing. In particular, the issue that even OpenAI’s GPT-5.5—considered one of the most powerful AI models in existence—is not entirely free from “hallucinations” (where an AI creates false information as if it were true) has emerged as a topic of concern. However, a new model has recently appeared that is garnering attention as a formidable competitor to GPT-5.5: GLM-5.2.

Why Does This Matter?

For the casual user, an AI model becoming slightly smarter might just mean “more convenience.” But for companies and developers, AI giving bizarre or incorrect answers translates directly into wasted time and money. Source: GPT-5.5 Hallucinates Three Times More Than MIT-Licensed GLM-5.2

The key takeaway from the newly released GLM-5.2 is not just that its performance is excellent, but that its hallucination rate is one-third that of GPT-5.5. Source: GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2 This is a significant step forward in increasing the reliability of AI results and will be a major boost in solving the “reliability” issue, which has been the biggest hurdle for businesses when adopting AI in practical workflows. Source: GPT-5.5 Hallucinates Three Times More Than MIT-Licensed GLM-5.2

An Easy Explanation

Let’s compare AI models to a giant “encyclopedia library.” GPT-5.5 is a very large library equipped with knowledge in almost every field. However, sometimes the librarian gets so nervous while looking for a book that they accidentally make the mistake of claiming a book exists when it doesn’t.

GLM-5.2, on the other hand, is similar in size, but its method of searching for information is much more meticulous and systematic. Source: GLM-5.2 Just Beat GPT-5.5 at a Sixth of the Cost

Simply put, while existing models made mistakes in their attempt to “create” answers, GLM-5.2 operates more efficiently by having a layer that grasps user intent and verifies factual relationships. It excels at filtering out uncertain answers on its own, much like a photo app with an extra filter for removing unnecessary noise.

Furthermore, this model has a “context window” (the amount of information an AI can remember and process at once) of 1 million tokens. Source: GLM-5.2: 753B Open-Weight Model That Undercuts GPT-5.5 To use an analogy, it’s at a level where it can grasp the contents of an entire book at once. Source: GLM-5.2 vs GPT-5.5: MIT Open-Weight Beats OpenAI on Pro (June 2026)

Current Status

Looking at the data, it shows particular strength in coding tasks. In “SWE-bench Pro,” a representative coding benchmark, GLM-5.2 recorded 62.1 points, surpassing GPT-5.5’s 58.6 points. Source: GLM-5.2: 753B Open-Weight Model That Undercuts GPT-5.5 Even more surprisingly, its operational cost is only one-sixth that of GPT-5.5. Source: Z.AI’s GLM-5.2 outperforms GPT-5.5 on coding benchmarks at one-sixth the cost

Of course, it is not overwhelmingly superior in all fields. Some evaluations suggest that GPT-5.5 still performs better in areas requiring pure knowledge. Source: GLM-5.1 vs GPT-5.5: AI Benchmark Comparison 2026

What Lies Ahead?

The AI development market will see even fiercer competition between “closed models” and “open models.” While companies like OpenAI provide closed services (APIs) with top-tier performance as their weapon, models like GLM-5.2 will be chosen by companies using “freedom of use” and “cost-effectiveness” as their advantage. Source: GPT-5.5 Hallucinates Three Times More Than MIT-Licensed GLM-5.2

What readers should focus on is not “who is smarter,” but “who can be applied more safely and efficiently to my work environment.” As AI model performance levels off, data reliability and user accessibility will ultimately become even more important.

MindTickleBytes’ AI Reporter Perspective

A model that is bigger and remembers more is not the only answer. Sometimes, a reliable librarian who makes fewer mistakes is what we need in our daily lives more than a super-genius librarian.

References

1. GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2

2. [GLM-5.2Hallucinates3xLessThanGPT-5.5— Open…

   byteiota](https://byteiota.com/glm-5-2-hallucinates-3x-less-than-gpt-5-5-open-weight-wins/)

3. GLM-5.2Review: 753B Open-Weight Model That UndercutsGPT-5.5

4. [Natural 20 — AI News in Real-Time

   The Bloomberg Terminal for AI](https://natural20.com/c/2kw3kl)

5. GLM-5.2 vs GPT-5.5: MIT Open-Weight Beats OpenAI on Pro (June 2026) · CodingFleet Blog
6. Z.AI’s GLM-5.2 outperforms GPT-5.5 on coding benchmarks at one-sixth the cost
7. GLM-5.2 Just Beat GPT-5.5 at a Sixth of the Cost

8. [GLM-5.1 vs GPT-5.5: AI Benchmark Comparison 2026

   BenchLM.ai](https://benchlm.ai/compare/glm-5-1-vs-gpt-5-5)

9. GLM-5.2: The Most Powerful Open-Weight Model Yet, and the Brutal Reality of Running It Locally
10. GPT-5.5 Hallucinates 3x More Than Open-Source Rivals - LinkedIn
11. GPT-5.5 Hallucinates Three Times More Than MIT-Licensed GLM-5.2
12. GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2
13. GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2
14. Bigger models are not the way