[Expired] I now use GLM 4.6 more often.

Thu, 09 Oct 2025 15:36:00 +0800

1
2
3


● Update(content/post/2025-10-24-我又买了-kimi-coding-plan/pics/bg.svg)
 ⎿ Error editing file
 ⎿ Interrupted · What should Claude do instead?

updated at: 2025-10-27 I only use glm4.6 for very simple tasks. In practical experience, minor issues frequently arise. For example, when using claude code, it is unable to update files. Here are some recent experiences using code agents.

Model Comparison

Based on my practical usage, GLM 4.6 is still slightly stronger than DeepSeek v3.2.

For example, in a Next.js project, I configured nextjs config -> baseUrl 192.168.2.14:8080. GLM 4.6 was able to recognize this pre-configured setting without explicit context, whereas DeepSeek v3.2 could not.

However, GLM 4.6 is not superior in all aspects. When dealing with relatively ambiguous problems, DeepSeek v3.2 is more conservative and does not violate the constraints I set before task completion. In contrast, GLM 4.6 tends to ignore my constraints, makes bold modifications, and ends up breaking things.

Tools

Compared to using GLM 4.6 in Claude Code / Cline, the experience in Kilo Code is the best.

Kilo Code can read files in parallel, while CC can only read them one by one.
Kilo Code enforces the generation of a plan, imposing more restrictions on the big model compared to CC.
The visual interface is more user-friendly. I can directly ban Python commands (I need to execute uv run instead of directly running Python commands).

However, Kilo Code itself also has issues. It cannot use MCP servers of the input; http type, which prevents the use of web-search-prime on Kilo Code.

Several Issues with Zhipu GLM-4.5 in Programming

Tue, 23 Sep 2025 10:24:43 +0800

Through some leaderboards and the report, I saw that glm-4.5 received high scores, so I gritted my teeth and subscribed to the annual coding plan.

However, while using the Zhipu glm4.5 coding plan, I encountered several issues that severely impacted my work efficiency.

Cline

In cline, there are roughly a few problems.

Problem One: Simple diff tool calls fail to output correctly.

Problem Two: The task list tool is unusable.

I once suspected it was a cline issue. But then I thought, deepseek, gpt-5, and claude-4-opus all work fine.

The prompt doesn’t change because of these. It’s most likely an issue with Zhipu glm-4.5.

Claude Code

Misunderstanding problems (unable to understand some simple natural language)
Incoherent responses, not listening to the user, failing to identify the target.

Later, if I find similar situations, I will add screenshots to this blog post. I don’t want to waste more time on this.

There’s also a common issue: obsequiousness.

Stopped Responding

A new problem encountered on 2025-10-03: it stopped providing feedback while answering a question and terminated the process.

The most likely cause of this problem is a lack of adaptation to the thinking interface, resulting in it thinking but not displaying the content.

Summary

Based on my current experience, among domestic AIs, apart from DeepSeek, the other major players tend to have unstable model outputs.

Without a doubt, Anthropic is the leader in this field.

I genuinely doubt the friends who told me Zhipu is good—have you actually used AI for programming? If so, how do you tolerate these issues? How has your efficiency improved?

If you think these problems are inevitable, then I sincerely suggest you use Anthropic’s products and models.

Aside

I really don’t want to use glm anymore, but there’s no choice—I’ve already paid for the annual subscription, and it’s non-refundable.

Therefore, as a user, you can only hope that glm will update its model.

As a consumer or customer, this feels very uncomfortable. It’s okay if the product isn’t fully developed yet; just don’t release it, or don’t charge for it like this. At 200 yuan a month, I might as well put all that money into deepseek. That’s a model that truly stands up to scrutiny.

Getting a refund is troublesome. I think reporting it to the consumer association could solve the problem to some extent. But it’s a waste of time. Furthermore, continuing to use it is a sunk cost. Therefore, I can only do this: I will not spend another cent on Zhipu in the future.

Update

Very strange!

Not long after I published this article, I found that the usability of glm-4.5 has become significantly better.

If you’re interested in experiences with other AI coding plans, you can read my other articles:

I Bought the Kimi Coding Plan Again - Experience and configuration methods for the Kimi monthly plan.
Doubao doubao-seed-code Test - In-depth testing of ByteDance’s Doubao coding plan.

Glm on Svtter's Blog