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Debates have flared up again in the world of AI: Chinese company Z.ai has released the GLM-5.2 model, which has already been dubbed the "Claude killer" by Anthropic online. Crypto bloggers and developers are enthusiastically discussing the new model, claiming it surpasses its famous competitor in several parameters at a price ten times lower. But how true are these claims?

Let's figure out what GLM-5.2 is and whether it can truly compete with top-tier models.

What is GLM-5.2 and what makes it special?

The developers position GLM-5.2 as a flagship model optimized for long and complex projects. The key innovation is a stable context window of 1 million tokens, which is five times larger than its predecessor, GLM-5.1. This allows the model to retain vast amounts of code or text in its field of view without losing quality throughout the session.

Other features include:

• Two reasoning levels: "High" for a balance between performance and token consumption, and "Max" for maximum analysis depth, which requires higher costs.
• Open MIT license: The model can be run on your own hardware (self-hosting), which is critically important for many companies.
• API pricing remains at the level of the previous version, making it accessible.

What do the benchmarks show?

According to Z.ai, GLM-5.2 is claimed to be the strongest open model on the market. However, it falls short of Anthropic's flagship—Claude Opus 4.8—in most tests. The gap is noticeable, but in some scenarios, GLM-5.2 comes very close.

On the Terminal-Bench 2.1 test, which evaluates command-line performance, GLM-5.2's result (81.0) closely approached Opus 4.8 (85.0) and surpassed Gemini 3.1 Pro (74.0). On SWE-bench Pro, a test of real-world GitHub tasks, the model also showed significant improvement compared to version 5.1.

Results on long-horizon tasks are particularly interesting. On the FrontierSWE test, where the model manages a technical project for dozens of hours, GLM-5.2 lags behind Opus 4.8 by only 1%, while outperforming GPT-5.5 and the previous version of Opus. On PostTrainBench, which evaluates the ability to improve other models through fine-tuning, GLM-5.2 also ranks second only to Opus 4.8.

Price and the catch

The GLM Coding Plan subscription starts at $12.6 per month for the Lite tier (with annual payment), which is indeed significantly cheaper than competitors' offerings. However, as users note, the model fully reveals itself only in "Max" mode, which consumes many times more tokens. This negates the price advantage when solving complex tasks.

The main criticism of GLM-5.2 concerns not the mathematical model, but the service and infrastructure. Developers complain about an unstable cloud platform, high costs during peak hours, and weak support. Many note that the model tends to get stuck in infinite loops and ignore commands, creating the impression that it is "tuned" exclusively for benchmarks, not for real-world work.

So, is it a "Claude killer" or not?

There is no clear answer. GLM-5.2 is undoubtedly a step forward for open models. It demonstrates impressive results in individual tests and offers unique capabilities, such as a huge context window and an open license. It narrows the gap with the leaders, but has not yet surpassed them in real, complex tasks.

My analysis: Calling GLM-5.2 a "Claude killer" is a premature and overly sensational headline. It is more of a serious "contender" for the title of the best open model for programming. Its main strength lies in accessibility and flexibility, while its weakness is in infrastructure and stability. For enthusiasts and startups willing to deal with the nuances, it is an excellent alternative. For professional, seamless development, especially at the enterprise scale, Claude and GPT remain the more reliable choice for now.