tfw you make a poll and it comes back 50/50
9:40 AM · Jul 5, 2026 · 3.5K Views
Polarized reactions to the Chinese large language model GLM-5.2 spark debate over its performance
Story Overview
GLM-5.2 arrived from Z.ai with open weights under an MIT license, a 1M-token window, and official claims of topping open models on coding benchmarks like SWE-bench Pro and Terminal-Bench. Instead of consensus, the rollout triggered split-screen reactions on X, including one account posting both "holy shit GLM-5.2 sucks" and "holy shit GLM-5.2 is AGI" to nearly identical engagement, while builder @_xjdr replied that the model is simply very good.
969015.3K
Open Question
Real-world tests keep contradicting each other
Official long-horizon gains over GLM-5.1 look solid on paper, yet early users describe everything from quick wins on agentic tasks to outright frustration, leaving the gap between benchmark numbers and daily experience unresolved.
Developer Impact
Anyone can download and run it locally
Weights are already on Hugging Face and ModelScope with support in vLLM, SGLang, and Ollama, so the same model that sparked the poll is open for direct inspection rather than locked behind an API.
Sentiment
Users praise GLM-5.2 as a very good model because of its strong capabilities shown in the discussion.
Pos
100.0%
Neg
0.0%
2 comments with sentiment.
Cluster Engagement
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Lisan al Gaib@scaling01
i guess both posts never left my follower bubble
Lisan al Gaib@scaling01
tfw you make a poll and it comes back 50/50
1hViews 1.2KLikes 6Bookmarks 0
LIKES24REPLIES2
xjdr@_xjdr
@scaling01 i can save you a lot of time, glm5.2 is a very good model .
Lisan al Gaib@scaling01
tfw you make a poll and it comes back 50/50
1hViews 775Likes 24Bookmarks 0
Lisan al Gaib@scaling01
@_xjdr I know its a good model.
The test was about bot engagement.
xjdr@_xjdr
@scaling01 i can save you a lot of time, glm5.2 is a very good model .
1hViews 237Likes 5Bookmarks 0
stochasm@stochasticchasm
@_xjdr @scaling01 very very good
1hViews 31Likes 1
Jan Stevens@janstevens
@scaling01 Exactly
1hViews 17
Anand C. Patel, MD MS@anandcpatelmdms
@scaling01
1hViews 7
midnight@midsusnight
@scaling01 the audience split knows no peace here
1hViews 3
Healthy Anon@arimedai
@scaling01 This is basically the entire open-weight discourse in two tweets.
1h