GLM 5.1: what 67 developers actually say.

67 Hacker News opinions from 50 developers, Nov 2025 – Nov 2026. 54 come from people who say they use it. Here is what they praise, what they complain about, and who switched.

67 opinions50 developersNov 2025 – Nov 2026Methodology
Approval
78%
±8.3 at 90% confidence
Last 90 days
–
No recent data
Rank
#8
of 45 models · CI-adjusted
Opinions
67
54 first-hand
Developers
50
1.3 opinions each
The short version

The case for GLM 5.1, in one paragraph.

GLM 5.1 earns 78% approval across 67 opinions. Developers praise its code quality.

Pick it if you

  • Want strong code quality at a low price
  • Are running long agent tasks on a tight budget
  • Want a model that works well in OpenCode or a spec-driven workflow

Look elsewhere if you

  • Need stable behavior past 200k tokens of context
  • Depend on security work, which it often refuses
  • Need fast responses during peak hours

Where it wins and loses.

Mentions across 67 opinions. Bars are counts, not votes; a tool can be both praised and criticized on the same topic.

TopicComplaints ← → PraiseMentions
Code quality 32 mentions
428
Cost & pricing 18 mentions
018
PraiseComplaint
2 topics shown · sorted by net sentiment · source: 67 opinions
View data table
TopicPraiseComplaintsMentions
Code quality28432
Cost & pricing18018

How opinion has moved.

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

78% Apr 202668% Jun 2026 low68% Jun 2026– last 90 days
0255075100APPROVAL78% all-time78%68%Apr '26May '26Jun '26
Monthly approval, 0–100. Bars show opinion volume. Months with fewer than 3 opinions are left out.
View data table
MonthApprovalOpinions
Apr 202678%36
May 202695%10
Jun 202668%19

What developers say.

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

Praise

4 selected
Code quality

Was very happy with GLM 5.1 for their spec-driven coding workflow.

HN comment · Jul 11, 2026Read on HN ↗
Code quality

GLM 5.1 fixed many low-level programming issues that Opus kept looping on.

HN comment · Jun 18, 2026Read on HN ↗
Cost & pricing

Experimenting with GLM 5.1 gives quite good results for the price on bigger tasks.

HN comment · Jun 16, 2026Read on HN ↗
Code quality

Switched from Kimi K2.5 to GLM 5.1 and feels it is a step above.

HN comment · Jun 14, 2026Read on HN ↗

Complaints

4 selected
Reliability

Advises against very low-bit quantizations of GLM 5.1, finding smaller models more reliable.

HN comment · Jun 21, 2026Read on HN ↗
Code quality

Reports the same disappointing experience with GLM 5.1 as with DeepSeek Pro.

HN comment · Jun 17, 2026Read on HN ↗
Reliability

GLM 5.1 performance degraded after about 200k tokens of context in their use on the coding plan.

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

GLM 5.1 refuses almost any security task, so they moved that work to Fable.

HN comment · Jun 13, 2026Read on HN ↗

Questions developers ask.

Is GLM 5.1 worth it?
Most developers say yes. It scores 78% approval, and cost is the clearest strength with 18 positive mentions and none negative. The weak spot is reliability, where negative mentions outnumber positive ones 3 to 1.
Is GLM 5.1 better than Claude Opus?
Opinions split. Two people preferred it to Claude Opus 4.6, and some say it comes close on agent tasks at about 1/20 the price. Others describe it as clearly weaker and slower than Opus, so the answer depends on how much you weigh cost against raw capability.
How does GLM 5.1 handle long context?
One user reported performance degrading after about 200k tokens on the coding plan. Another described it as quirky near full context. Keep tasks inside a smaller window if reliability matters.

The data behind this page.

Developers give GLM 5.1 a 78% approval score across 67 opinions from 50 authors, and 54 of those opinions come from direct users. Code quality is the strongest theme at 28 positive mentions against 4 negative, and cost follows at 18 positive with none negative. Monthly approval fell from 95 in May to 68 in June on 19 opinions, so the recent direction is down. July holds only 1 opinion, too few to call a recovery.

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 screened67 about GLM 5.154 first-hand

Read the full methodology →