GLM-5.2: Has the New Chinese Model Really Become a "Claude Killer"? An Expert Analysis
In the crypto and AI community, debates are once again heating up about a new competitor to Anthropic Claude. This concerns the GLM-5.2 neural network from the Chinese company Z.ai. Enthusiasts have already dubbed it a "killer" of flagship models, but how accurate is this claim? Let's take a closer look.
GLM-5.2 is a flagship model designed for complex, long-duration work sessions. Its main innovation is a context window of 1 million tokens that does not degrade with ultra-long queries. This allows fitting an entire codebase into a single reasoning cycle, which is critical for developers and autonomous agents. The model offers two levels of reasoning enhancement: High for balanced performance and Max for maximum accuracy, albeit at the cost of higher token consumption.
Benchmarks: Breakthrough or Marketing?
According to Z.ai's internal tests, GLM-5.2 shows an impressive performance leap. On Terminal-Bench 2.1, it scores 81.0 points compared to 63.5 for its predecessor GLM-5.1, closely approaching Claude Opus 4.8's 85.0 and surpassing Gemini 3.1 Pro's 74.0. On SWE-bench Pro, the result is 62.1 versus 58.4 for GLM-5.1, placing it above GPT-5.5 (58.6) and Gemini (54.2).
However, on more complex tests like NL2Repo and DeepSWE, the gap with Opus 4.8 becomes evident: 48.9 vs. 69.7 and 46.2 vs. 58.0, respectively. On the ultra-long SWE-Marathon, the difference reaches 13%. Nevertheless, on all three long-duration task tests (FrontierSWE, PostTrainBench, SWE-Marathon), GLM-5.2 shows the best result among all open models, making it a serious player in the open-source niche.
Price and Subscription: Affordable, but with Nuances
The GLM Coding Plan subscription offers three tiers: Lite ($12.6/month), Pro ($50.4/month), and Max ($112/month) with annual payment. Higher plans provide priority access and a 20x larger limit. However, quota consumption depends on load: a 3x multiplier during peak hours (2:00 PM - 6:00 PM Beijing time) and 2x off-peak. Until the end of September, a promotion offers a 1x multiplier for off-peak use, making the model temporarily more attractive in terms of price.
User Reviews: Enthusiasm and Criticism
Users are divided into two camps. Some call GLM-5.2 the strongest open model, noting improved logic and the ability to autonomously perform complex tasks, offering corrections. Others criticize the cloud infrastructure as extremely weak, the high cost of pricing, and the model's tendency to get stuck in infinite loops, ignoring commands. In their view, the model is "tuned" exclusively for benchmarks, while in real-world work it falls short of Claude or GPT.
Verdict: Killer or Not?
There is no clear answer. GLM-5.2 is undoubtedly the best open model available today for programming and autonomous tasks. In certain scenarios, it comes very close to Opus 4.8, and the open MIT license along with a low entry barrier make it a notable player. However, calling it a "killer" of Claude is a clear exaggeration. By most tests, Z.ai itself ranks its model below Opus 4.8, and user complaints about instability and high token consumption show that it still has a long way to go before fully replacing market leaders.
My expert opinion: GLM-5.2 is an important step for open-source AI, demonstrating that Chinese developers can create competitive products. But for now, it is more of a "budget" competitor for enthusiasts and developers willing to tolerate infrastructure shortcomings for the sake of low cost and open code. For the mass user who values stability, Claude and GPT remain the preferred choice.