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GLM · Last 7 days

GLM 5.3

0–100 · higher means more positive community experience, not benchmark performance.

Updated 2026-09-05 14:21 UTC · 2026-08-29 – 2026-09-05 UTC
Community score67.5/100136 comments in 7 days

Community reviews

Selected comments from the last 7 days. The balance of excerpts does not represent the share of positive reviews.

26 selected excerpts

PositiveGeneral text

“Only found out when I plugged it in GLM-5.3 to troubleshoot. Thanks for the script, it works great.”

PositiveSafety & refusals

“warm up context with non-RE things with American models > switch to GLM 5.3 with actual request, let it fill context with some RE work”

NegativeSafety & refusals

“Compared to other AIs, after this update and the arrival of GLM-5.3, it has a very aggressive security protocol. Anything I ask her to do or create, she gives off a completely distorted view, saying that it's dangerous and could cause risk”

PositiveLocal deploy

“I can actually have 16 GLM 5.3 agents running concurrently at the same time.”

PositiveGeneral text

“Worth the money for me, I got their Max plan, orchestrate planning with glm 5.3, small and implementing things are flash, also I got extra claude max for fable only for review. Shit just run”

PositiveReasoning

“GLM 5.3 is truly the GOAT for me right now, I had a large project that both GPT and Claude completely shat the bed in, and I just got the 300mil tokens claim and YOLOd zcode on the project.”

NeutralSpeed & latency

“Run glm 5.3 dsv4 flash etc you can parallel like 4 agents at least”

PositiveLocal deploy

“just use glm 5.3 now which perfectly fits”

PositiveGeneral text

“one shotted this with GLM 5.3”

PositiveCoding

“GLM 5.3 on same level in dev work as SOL for me. Sometimes even better. I'm using SOL for roadmap/tasks, then GLM audit on them and real work.”

PositiveCoding

“Full GLM 5.3 (not Flash) on Max reasoning falls somewhere between GPT 5.6 Terra-High and Sol-High in my (coding) use. I let it daily-drive and use Sol to check plans. Helps usage stretch far for me.”

PositiveCoding

“GLM completes engineering, kimi does verification and returns iteration plans”

ZhihuzhMachine translated
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GLM完成工程,kimi做验证并且返回迭代方案

NeutralGeneral text

“I do find it unnecessary for the model to referencing time so much in its outputs but it does flow in my experience so it hasnt really been a negative quirk”

MixedReasoning

“Its IQ sits at the same table as top-tier models, but what it can't do, GLM-5.3 usually can't either.”

ZhihuzhMachine translated
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智商和高级模型坐一桌,它干不了的,大多数情况下glm-5.3也不行

NegativeGeneral text

“For example, GLM-5.3's real generalization ability still has a gap compared to overseas top-tier models, but its AA benchmark total score closely trails GPT-6 (only one point behind).”

ZhihuzhMachine translated
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比如 GLM-5.3 的真实泛化能力与海外顶尖梯队仍有差距,但 AA 榜总分却紧咬 GPT-6(只差一分)

NegativeReasoning

“it had no problem completely busting a comprehensive GLM 5.3 diagnosis for me 5 minutes ago to which GLM had to admit defeat lol”

NegativeLocal deploy

“With GLM 5.3, your setup would do worse than what you see in benchmarks, since you'd have to run a lower quant than what the benchmarks use.”

NegativeLocal deploy

“You can only fit GLM 5.3 in Q4, so I doubt it makes sense to trade that for full precision on DeepSeek.”

NegativeReasoning

“Knowledge-rich: I had it transcribe a piece of music for Jasmine Flower, and the result was about 80-90% accurate. Give the same task to GLM-5.3, and it only repeats the first line before forgetting the rest.”

ZhihuzhMachine translated
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知识丰富:我让它默写了一首茉莉花的音乐,做出来八九不离十。同样的任务交给 GLM-5.3,只会重复第一句,后面都想不起来了。

MixedRoleplay / creative

“5.1 in group chats always ends up talking like a robot after playing for a while.”

RedNotezhMachine translated
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5.1这个群像总是玩着玩着后面就变成机器人讲话了

NegativeCoding

“geometry and polygons were weak”

NegativeGeneral text

“Both have objectively terrible staircases.”

NegativeCoding

“5.3 Flash is awesome, actually feels like the next generation compared to the bigger 5.3.”

PositiveLocal deploy

“stick to models that can fit (+ their context windows) on RAM, Q4 GLM 5.3 or Q8 GLM 5.3 Flash might be better fits”

NeutralCoding

“Switched back to GLM 5.3 exclusively but route any vision needs to Flash.”

NeutralLocal deploy

“Flash needs 192gb vram for nice inference and 5.3 fits same 192gb at nvfp4 (but tight)”