r/ZaiGLM

I want to continue using DeepSeek for execution. but as a planner / reviewer agent how is glm5.3?

Also any feedback on open ai Sol 6.1 as a planner

Firstly, Kimi 2.8 - Its a great model. wow, what a win. Moonshot has a very good useful model. My work with it shows its pretty much like a more decisive, faster, less cluttered K3. Its solid, it gives good consistent performance over various workflows. I don't know how it will benchmark, but benchmarks are only one aspect, IMO they aren't as useful for most people as people like to think. However, I think K2.8 would benchmark very well, and be useful, and I think as a 2.x release, people are less worried about bench-maxxing, K3 is always there from the same provider and is a proven capable model. 2.8 IMO is the product people want from Moonshot, it has a clear space in the market, and being much faster and less draining than K3 is significant, we are at the point now where a very decent model is much more desirable than a slightly better, but much slower expensive model.

Its really surprising, because I have also tried GPT6 with a pro subscription and the slow speed and poor performance really has me looking at getting completely off that platform, as they have paused future developments and I am not happy with their output and tools. Being all cloud, and closed, its not that universally useful for me.

Secondly, this great model, will likely get more attention with a public weights release. K2.8 is big enough most people can't host it locally anyway, and those who can, often back up local hosting with cloud hosting (I do). But it is hard to build workflows around a "preview" model and having no offline model for privacy (I deal with peoples data, and it can't go into any cloud), is important.

I am rarely using K3 I am constantly using K2.8. Particularly at the current rates, its very attractive. There are special things where I want K3, I want elaborate, slow, deliberate, all states considered answers and K3 is great at that. But 90% of what I do is K2.8 is pretty much perfect.

I have the capabilities to host large models like K3 and K2 locally, concurrently, (slowly mostly through CPU inferencing - Im not Elon rich with banks of GB200s), and K2.8 would be a great model for a lot of people, like me, who can do that, and then have their Kimi subscriptions for fast conversations, on the go, and urgent work (which consumes my monthly allowance). But I having that offline capability, at 5 or 6 t/s means I can explore how it can embed more into my workflows, and convince others of the open superiority of this particular model.

At my company, we’re using GLM-5.3 Flash internally for software engineering work, and I’ve been genuinely impressed by it.

I work in a very large production environment with projects totaling millions of lines of code, and we’re not relying on frontier models for this workflow — GLM-5.3 Flash is doing the actual day-to-day coding work.

The model is extremely fast, but what’s more impressive is that the speed doesn’t seem to come at the cost of capability. It handles large repositories surprisingly well, understands existing architecture, traces code across multiple modules, finds the right places to make changes, and produces solid implementations with relatively little hand-holding.

For repo exploration, feature implementation, refactoring, and understanding unfamiliar parts of a huge codebase, it has been much stronger than I initially expected. At this point, it feels less like a “cheap/fast fallback model” and more like a genuinely capable coding model that just happens to be very fast.

I’m now really curious about how GLM-5.3 Flash was trained.

Does anyone know more about its coding training pipeline? For example:

• How much code-specific pretraining/post-training was used?
• Was synthetic coding data a major part of it?
• Is there any distillation from larger GLM models?
• What kind of RL or agentic/software-engineering training was used?
• Was it specifically trained for repository-level understanding and multi-file tasks?

Because whatever they did, the speed-to-quality ratio on real-world software engineering workloads is seriously impressive.

I'm on z.ai Max, some weeks I burn the weekly early, some weeks it's left over at the reset and just evaporates. nothing helps that second kind of week, so I built Overflow.

Spare week: take a priced GitHub issue from a registered repo, the merged PR gets you credit. Dry week: price an issue in your repo, someone with a spare week ships it, your credit pays.

first thing everyone asks is "won't people spam junk PRs at me". same as any repo, you block them on github. You set the price after you've seen the work, every review round comes off their credit, and you only owe for what you actually merge.

you don't need to know the project either, the issue is the brief. If your agent hits a decision, ask the maintainer on the issue.

GLM helped build it btw, it leads sometimes and implements and reviews next to claude and codex.

Nothing gets forwarded, no keys, no money, MIT. It's early: 13 users, and the 70 open issues on the board are all from my own repos, so it needs other people's repos more than anything.

https://overflow.nitjsefni.eu, source at https://github.com/Nitjsefnie/Overflow

For a long time I was very happy with GLM 5.3 Flash. It worked its way through large codebases, and the differences from GLM 5.3 were barely noticeable. Only very rarely did GLM 5.3 Flash get stuck, and when it did, those were genuinely very complex issues that GLM 5.3 then solved. But for the past few days, almost a week now, the model has been giving me serious trouble. Careless mistakes keep happening. Things that were discussed in the same session get forgotten. It takes 5, 6, 7 attempts to fix bugs, and even then only because I keep steering it back on track. Right now it is completely unsuitable for autonomous work. This shows up especially after 1:00 a.m. (UTC+2). GLM 5.3 has also gotten a bit worse, but not nearly as badly. I experience also lower speed than in the good old days. Have you had similar experiences?

is 5.3F really slow or is there an issue with my setup. I am using Zcode desktop on windows. I have tried LOW mode too and the reasoning is at the same level. In comparison DS Flash 4.1 is really fast and better. Please help.

I talk to an MCP that offers thumbnail image bytes, but I can't get ZCode to display them.

Is it possible that ZCode does not have the capability to display/render images?
Or is there a setting?

https://preview.redd.it/jdx0bod32tth1.png?width=1172&format=png&auto=webp&s=32e6670259eb431ef67381f57d3b22a928be3a0e

I am pretty much upset on their support. I have been planning for buy the yearly Max plan, but before the issues I faced. Maybe I have to consider my purchase plan. Anyone have related issues regarding ZCode? Or I am the only one?

I have been trying, searching, writing prompts to force JB on Glm 5.3 but I didn't make any progress. I only managed to do nsfw. And sometimes it refuses too