GLM-5.2: Analysis of the Chinese AI Competitor Claude — Breakthrough or Hype?
The crypto community and the world of artificial intelligence were stirred by news of a powerful Chinese player emerging — the GLM-5.2 neural network from Z.ai. Enthusiasts and bloggers have already rushed to dub it the "killer" of Anthropic's flagship models, particularly Claude. But how true is this claim? Let's delve into the technical details and the actual state of affairs.
What is GLM-5.2 and what makes it powerful?
GLM-5.2 is a flagship model designed to solve complex, long-duration tasks. Its key advantage over its predecessor, GLM-5.1, is a stable context window of 1 million tokens. This means the model can retain vast amounts of code and text without losing quality, which is critical for working on large projects.
Key features of the model:
- 1 million token context without degradation on ultra-long sessions. The entire codebase fits into a single reasoning cycle.
- Two levels of reasoning enhancement: High for balancing performance and token consumption, and Max for maximum analysis depth.
- Open MIT license with no regional restrictions. The model can be deployed on your own hardware (self-hosting).
- API pricing remains at the level of the previous version, GLM-5.1.
Benchmarks: numbers don't lie
According to Z.ai's own tests, GLM-5.2 is the strongest open model on the market. However, it generally falls short of the leader — Anthropic Claude Opus 4.8.
Progress on standard programming tests compared to 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).
Comparison with competitors in maximum reasoning mode:
| Benchmark | GLM-5.2 | GLM-5.1 | Opus 4.8 | GPT-5.5 | Gemini 3.1 Pro |
| SWE-bench Pro | 62.1 | 58.4 | 69.2 | 58.6 | 54.2 |
| Terminal-Bench 2.1 | 81.0 | 63.5 | 85.0 | 84.0 | 74.0 |
| NL2Repo | 48.9 | 42.7 | 69.7 | 50.7 | 33.4 |
| DeepSWE | 46.2 | 18.0 | 58.0 | 70.0 | 10.0 |
| ProgramBench | 63.7 | 50.9 | 71.9 | 70.8 | 39.5 |
| MCP-Atlas | 76.8 | 71.8 | 77.8 | 75.3 | 69.2 |
| Tool-Decathlon | 48.2 | 40.7 | 59.9 | 55.6 | 48.8 |
The picture is similar for long-horizon tasks. On the FrontierSWE test, where the model runs an open project for tens of hours, GLM-5.2 trails Opus 4.8 by only 1%, surpassing GPT-5.5 and Opus 4.7. On the ultra-long SWE-Marathon, the gap from Opus 4.8 is 13%. Thus, across all three tests, GLM-5.2 achieves the best result among open models.
Price and pitfalls
The GLM Coding Plan subscription is divided into three tiers. With a 30% discount for annual payment: Lite — $12.6/month, Pro — $50.4/month, Max — $112/month. Within the subscription, quota consumption depends on load: a 3x multiplier during peak times and 2x off-peak. Until the end of September, a promotion applies where off-peak usage is billed at 1x.
User reviews are mixed. Strengths: the strongest open model, basic logic better than version 5.1, comparable to GPT-5.5 in programming at a high reasoning level. The model autonomously performs complex tasks through auxiliary agents and suggests fixes on its own. It is described as slow and expensive, but extremely persistent in achieving its goal.
Criticism focuses on service and stability: weak cloud infrastructure, expensive pricing, poor support. Users complain it's easier to pay for Claude or GPT. The model is also criticized for a tendency to get stuck in infinite loops and ignore commands. In their opinion, the model is tailored exclusively for benchmarks.
Verdict: "killer" or not?
There is no clear answer. GLM-5.2 is the best open model today 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 bloggers, not benchmarks, who call it a "killer" of Claude. According to most tests, Z.ai itself places its model below Opus 4.8. Additionally, users complain about unstable cloud infrastructure, high token consumption in Max mode, and poor support. The new AI narrows the gap with the leaders but has not yet surpassed them.
My analysis: GLM-5.2 is a significant step forward for open models and an excellent tool for developers who value control and flexibility. But calling it a "killer" of Claude is premature. At this point, it is more of a "chaser" with enormous potential than a leader that has dethroned the king. The AI market is becoming increasingly competitive, and that is good for all of us.