GLM 5.2: what 142 developers actually say.

142 Hacker News opinions from 109 developers, Nov 2025 – Nov 2026. 110 come from people who say they use it. Here is what they praise, what they complain about, and who switched.

142 opinions109 developersNov 2025 – Nov 2026Methodology
Approval
75%
±6 at 90% confidence
Last 90 days
82%
↑ 7 pts vs all-time
Rank
#9
of 45 models · CI-adjusted
Opinions
142
110 first-hand
Developers
109
1.3 opinions each
The short version

The case for GLM 5.2, in one paragraph.

GLM 5.2 earns 75% approval across 142 opinions. Developers praise its code quality. In the last 90 days it sits at 82%.

Pick it if you

  • Want strong code quality at a low price
  • Run long agent jobs on a small budget
  • Want generous usage limits and an open model

Look elsewhere if you

  • Need steady output quality across runs
  • Need vision or strong prompt adherence
  • Need frontier results on the hardest tasks

Where it wins and loses.

Mentions across 142 opinions. Bars are counts, not votes; a tool can be both praised and criticized on the same topic.

TopicComplaints ← → PraiseMentions
Code quality 47 mentions
641
Cost & pricing 35 mentions
530
Reliability 16 mentions
97
PraiseComplaint
3 topics shown · sorted by net sentiment · source: 142 opinions
View data table
TopicPraiseComplaintsMentions
Code quality41647
Cost & pricing30535
Reliability7916

How opinion has moved.

Monthly approval, Jun 2026 – Oct 2026. Bars show opinion volume; low-volume months are still included but faded.

72% Jun 202672% Jun 2026 low100% Oct 202682% last 90 days
0255075100APPROVAL75% all-time72%100%Jun '26Jul '26Aug '26Sep '26Oct '26
Monthly approval, 0–100. Bars show opinion volume. Months with fewer than 3 opinions are left out.
View data table
MonthApprovalOpinions
Jun 202672%55
Jul 202674%59
Aug 202679%21
Sep 202683%3
Oct 2026100%4

What developers say.

Summaries are paraphrased. Each links to the original Hacker News comment.

Praise

4 selected
Code quality

Had a good month or two with GLM 5.2, roughly Opus 4.5 level in capability.

HN comment · Oct 26, 2026Read on HN ↗

They enjoyed using GLM 5.2 more than the newer 5.3 version.

HN comment · Oct 16, 2026Read on HN ↗

Switched to GLM 5.2 and is glad to leave the big frontier providers, despite mixed feelings about z.ai.

HN comment · Oct 12, 2026Read on HN ↗
Reliability

GLM 5.2 was the only model that helped while agents tried to access a site.

HN comment · Oct 10, 2026Read on HN ↗

Complaints

4 selected
Cost & pricing

GLM 5.2 is capable but burns so many tokens that its pricing is misleading.

HN comment · Aug 14, 2026Read on HN ↗
Reliability

GLM 5.2 is inconsistent, with much more output-quality variance than the best US models.

HN comment · Aug 6, 2026Read on HN ↗
Code quality

Shares an SVG test where GLM 5.2 still trails Opus, with structurally poor output.

HN comment · Aug 2, 2026Read on HN ↗
Reliability

These models behave dumb and ignore instructions, even when writing their own skills.

HN comment · Jul 30, 2026Read on HN ↗

Questions developers ask.

Is GLM 5.2 worth it?
Most users say yes. Approval is 75% overall and 82% over the last 90 days. The common case is cheap, capable code generation. Complaints center on uneven output and token costs that one user found higher than GPT-5.6.
Is GLM 5.2 better than Claude Opus?
The data is split. Two users preferred Claude Opus 4.8, while two preferred GLM 5.2 over Claude Code. One SVG test found GLM 5.2 behind Opus on output structure.
Is GLM 5.2 good for coding?
Yes for most work. Code quality gets 41 positive mentions against 6 negative. Users still report errors on hard tasks, weaker prompt adherence than Claude and GPT, and one account of 20-30% mistakes at Max reasoning.

The data behind this page.

Developers give GLM 5.2 a 75% approval score across 142 opinions from 109 authors, and 110 of those opinions come from firsthand use. Code quality is the strongest point at 41 positive mentions against 6 negative, with cost next at 30 against 5. Approval over the last 90 days is 82%, up from 72% in June 2026, but opinion volume fell from 59 in July to 3 in September and 4 in October, so the recent gain rests on thin data. Reliability is the weak spot at 7 positive against 9 negative, and some users report token burn that cancels out the low price.

Every number comes from public Hacker News comments collected through the HN Search API. A language model tagged each comment for sentiment, first-hand use, topic and switches; a human spot-checks samples. No vendor can pay for placement.

20,064 comments screened142 about GLM 5.2110 first-hand

Read the full methodology →