GLM-5.2: Is this Chinese neural network truly a "Claude killer"?
A new buzz has erupted across the crypto community and AI industry. The new GLM-5.2 model from Z.ai is positioned as a direct competitor to Anthropic's flagship solutions. Enthusiasts have already dubbed it the "Claude killer," noting impressive results in a number of scenarios at a price that is ten times lower. Let's figure out how fair these bold claims are.
GLM-5.2 is a flagship model optimized for long working sessions. Its main advantage over its predecessor GLM-5.1 is a stable context window of 1 million tokens, which is five times larger than the previous 200 thousand. This allows the model to "keep in mind" entire codebases and complex projects without losing quality.
Key features of the new model:
- 1 million token context, which does not degrade during ultra-long sessions.
- Two levels of reasoning enhancement: High for a balance of performance and token consumption, and Max for maximum power.
- Open MIT license without regional restrictions, allowing the model to be run on your own hardware (self-hosting).
- API price, remaining at the level of the previous GLM-5.1 version.
Benchmarks: Real Numbers vs. Marketing
According to Z.ai's own tests, GLM-5.2 is recognized as the strongest open model on the market. However, it generally falls short of Anthropic's flagship — Claude Opus 4.8. 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).
Comparison 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 |
On long-horizon tasks, the picture is similar. On the FrontierSWE test, where the model manages open technical projects for tens of hours, GLM-5.2 lags behind Opus 4.8 by only 1%, surpassing GPT-5.5 and Opus 4.7. On PostTrainBench, it also yields only to Opus 4.8. However, on the ultra-long SWE-Marathon with tasks like creating compilers, the gap from Opus 4.8 reaches 13%. Nevertheless, GLM-5.2 shows the best result among all open models.
Price and Pitfalls
The GLM Coding Plan subscription is divided into three tiers: Lite ($12.6/month), Pro ($50.4/month), and Max ($112/month). Within the subscription, quota consumption depends on load: a 3x coefficient during peak hours and 2x off-peak. Until the end of September, a promotion is active where off-peak usage is billed at 1x.
User reviews are divided. Strengths: the model is called the strongest open neural network, its basic logic is noticeably better than version 5.1, and in programming it is comparable to GPT-5.5 at a high reasoning level. However, the cloud infrastructure, weak support, and high cost are criticized. Users complain that the model tends to get stuck in infinite loops and ignore commands. In their opinion, it is tailored exclusively for benchmarks.
Conclusion: 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 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 the new model a "Claude killer." According to most tests, Z.ai itself ranks its model below Opus 4.8. Users complain about unstable cloud infrastructure, high token consumption in Max mode, and weak support. The new AI narrows the gap with the leaders but does not yet surpass them.
Expert opinion: GLM-5.2 is an impressive step forward for open models, especially in the context of programming. However, calling it a "Claude killer" is premature. The model's real value will be revealed when Z.ai solves its infrastructure and stability issues. For now, it is an excellent tool for enthusiasts and developers who want to run a powerful AI model locally, but not a replacement for proven cloud solutions.