Crypto news

A new hype is brewing in the crypto community and AI industry. Everyone is discussing the GLM-5.2 model from Z.ai, which has already been dubbed the "Chinese killer" of Anthropic's flagship neural network, Claude. Let's figure out how true this statement is and what this new algorithm actually represents.

GLM-5.2 is an open-source model designed for extended work sessions and complex tasks, such as programming. Its main technical advantage over its predecessor GLM-5.1 is an increased context window: 1 million tokens versus 200 thousand. This means the model can "keep in mind" huge volumes of code or text without losing quality during the reasoning process.

Key characteristics of the model:

• 1 million token context: Does not degrade during ultra-long sessions, allowing entire codebases to be processed in a single cycle.
• Two levels of reasoning: High mode — for balancing performance and cost; Max mode — for maximum accuracy, but with high token consumption.
• Open MIT license: Complete freedom for local deployment (self-hosting) without regional restrictions.
• API price: Remained at the level of the previous version, making it attractive for mass use.

What do the benchmarks show?

According to Z.ai's internal tests, GLM-5.2 is recognized as the strongest open-source model on the market. However, it generally falls short of Anthropic's flagship, Claude Opus 4.8. Nevertheless, the gap is narrowing. For example, on the Terminal-Bench 2.1 test, GLM-5.2 scored 81.0 points, closely approaching Opus 4.8's 85.0 and surpassing Gemini 3.1 Pro (74.0).

On long-horizon tests, such as FrontierSWE, where the model manages projects for tens of hours, the gap from Opus 4.8 is only 1%. At the same time, GLM-5.2 outperforms GPT-5.5 and the previous version of Opus 4.7. On SWE-Marathon, where the task is to create compilers, the gap from the leader is 13%. But in all these tests, GLM-5.2 confidently shows the best result among open-source models.

Cost and pitfalls

The GLM Coding Plan subscription offers three tiers: Lite ($12.6/month), Pro ($50.4/month), and Max ($112/month) with annual payment. However, users are already noting serious drawbacks. The main complaints concern weak cloud infrastructure, high cost in Max mode, and the model's tendency to get "stuck" in infinite loops, ignoring commands.

Many developers note that GLM-5.2 only reveals its potential in Max mode, which consumes many times more tokens than High. This negates its price advantage. As one user put it: "By benchmarks, it's a flagship, but by real code, it's a budget-plan AI."

My professional opinion: Calling GLM-5.2 a "Claude killer" is premature. Yes, it is a powerful step forward for open-source models, and in some scenarios it truly breathes down the necks of the leaders. However, the raw infrastructure, high token consumption, and instability in real-world tasks do not yet allow it to dethrone the crown. For now, it is more of a "contender for the throne," making the AI market more competitive and cheaper, which benefits everyone in the long run.