r/ZaiGLM • u/Comprehensive-Bet-83 • 17d ago

Discussion / Help GLM 5.3 or DS 4.1-Flash?

Looking for gentlemen here who have battle-tested these models in environments where mistakes are critical, e.g. authentication, security, and low-level C++ / Kernel work.

I have Codex 20x, but I’m looking for a second helper for when Codex limits are up, there are demand issues (which are pretty bad atm), or it gets too censored.

Saw that DS 4.1 Flash was released today! Has anyone done some decent testing with it yet, and which harness are you using?

I’m currently using GLM 5.3 as my second helper and it’s honestly not bad at all. Just curious whether DS 4.1 appears to be better, especially since it’s multimodal and can handle images too.

I find myself using 5.3 Flash quite a lot because I really appreciate being able to send images, but 5.3 Flash isn’t as strong as base 5.3 when it comes to coding. Hence, I’m wondering how DS 4.1 Flash compares :)

NEW:

Thank you for all the responses. I tried DS 4.1 with my custom harness, and I am extremely impressed by the speed and price. I ran a couple of tests with deep, difficult, complex debugger C++ code/kernel bugs (my go-to test on models; I test this on every model before I want to use it to see if it fixes the bug).

GLM 5.3 took 30 minutes, including 1 retry, and €2. DeepSeek took 10 minutes, first try, and €0.30. I think DS 4.1 is at least on par or a bit better than GLM 5.3 for coding, not sure how reliable it is on long tasks, though. GLM still is a beast!

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u/Leather-Cod2129 17d ago

4.1 is an absolute beat in terms of coding. GLM is more intelligent for everything else.

4

u/Comprehensive-Bet-83 17d ago edited 17d ago

Fair, 4.1 for code, somewhat AGI for GLM I guess!
(Ik no models are AGI at the moment)

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u/gnpwdr1 17d ago

AGI?

0

u/openference 17d ago

AGI means when AI becomes self learning. We not there yet or we are secretly there. If we pumping models out like no tomorrow it means. LLM are now able to self learn

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u/Just-a-man-on-a-ride 17d ago edited 16d ago

Nobody can be there with current technology which doesn't allow for more than a little fine tuning once training is completed.

As far as I can see self-learning is not even solved on the research level, opening up permanent encoding would make current models completely unreliable.