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In recent days, the crypto and tech community has been actively discussing the new GLM-5.2 neural network from Z.ai. Many enthusiasts have already dubbed it the "Chinese killer" of Anthropic's flagship Claude model. Let's figure out how justified this title is.

What is GLM-5.2 and why is it interesting

GLM-5.2 is a flagship model designed for long and complex work sessions. Its main difference from its predecessor GLM-5.1 is a context window of 1 million tokens, which is five times larger than before. This allows it to keep an entire codebase in view without losing performance.

Key features of the model:

• 1 million token context, which does not degrade during ultra-long sessions.
• Two levels of reasoning enhancement: High (balance of performance and token consumption) and Max (maximum capabilities, but with higher consumption).
• Open MIT license with no regional restrictions, allowing self-hosting.
• API pricing remains at the level of the previous version, making it accessible.

The model is available on HuggingFace, ModelScope, through the GLM Coding Plan subscription, and the ZCode desktop agent.

What the benchmarks show

According to Z.ai's own tests, GLM-5.2 is recognized as the strongest open model on the market. However, in most cases, it falls short of Claude Opus 4.8. On standard programming tests, the gap with GLM-5.1 is noticeable: 81.0 vs. 63.5 on Terminal-Bench 2.1 and 62.1 vs. 58.4 on SWE-bench Pro. On Terminal-Bench 2.1, the score of 81.0 closely approaches Opus 4.8 (85.0) and surpasses Gemini 3.1 Pro (74.0).

On long-duration tasks (FrontierSWE), the lag behind Opus 4.8 is only 1%, and on PostTrainBench, the model outperforms GPT-5.5 and Opus 4.7. On the ultra-long SWE-Marathon, the lag behind Opus 4.8 is 13%. Thus, on all three tests, GLM-5.2 shows the best result among open models.

How much does it cost and what's the catch

The GLM Coding Plan subscription is divided into three tiers: Lite ($12.6/month), Pro ($50.4/month), and Max ($112/month) with annual payment. Higher-tier plans get priority access to flagship models and additional tools. However, users complain about weak cloud infrastructure, expensive pricing during peak hours (3x multiplier), and the model's tendency to get stuck in infinite loops, ignoring commands.

User reviews

Strengths: The model is called the strongest open neural network, with noticeably improved basic logic and comparable to GPT-5.5 at high reasoning levels. It autonomously performs complex tasks and suggests fixes on its own. Weaknesses: Unstable cloud infrastructure, high token consumption in Max mode, and weak support. Many users note that the model only reveals its potential in Max mode, which consumes several times more tokens than High.

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

There is no clear answer. GLM-5.2 is the best open model for programming and autonomous tasks. In certain long-duration scenarios, it comes very close to Anthropic's flagship. The open MIT license, self-hosting capability, and low entry barrier make it a notable player. However, it is more bloggers who call it a "Claude killer," not benchmarks. According to most tests, Z.ai itself ranks its model below Opus 4.8. Additionally, users complain about unstable cloud infrastructure, high token consumption, and weak support.

Expert opinion: GLM-5.2 narrows the gap with the leaders but does not yet surpass them. Its main advantage is openness and price, not absolute superiority. For the community that values self-hosting and low cost, this is an excellent alternative, but for those seeking uncompromising quality, Claude and GPT remain the preferred choice.