GPT-5.6: what 33 developers actually say.

33 Hacker News opinions from 34 developers, Nov 2025 – Nov 2026. 26 come from people who say they use it. Here is what they praise, what they complain about, and who switched.

33 opinions34 developersNov 2025 – Nov 2026Methodology
Approval
76%
±12.2 at 90% confidence
Last 90 days
75%
↓ 1 pts vs all-time
Rank
#21
of 45 models · CI-adjusted
Opinions
33
26 first-hand
Developers
34
1.0 opinions each
The short version

The case for GPT-5.6, in one paragraph.

GPT-5.6 earns 76% approval across 33 opinions. Developers are divided on it. In the last 90 days it sits at 75%.

Pick it if you

  • Want root-cause fixes in an existing codebase
  • Care about clean interfaces and low token use
  • Prefer clear communication from the agent

Look elsewhere if you

  • Need strict instruction following on scoped tasks
  • Need an agent that never refuses security work
  • Are on a tight budget

Where it wins and loses.

Mentions across 33 opinions. Bars are counts, not votes; a tool can be both praised and criticized on the same topic.

TopicComplaints ← → PraiseMentions
Code quality 13 mentions
211
Reliability 10 mentions
55
PraiseComplaint
2 topics shown · sorted by net sentiment · source: 33 opinions
View data table
TopicPraiseComplaintsMentions
Code quality11213
Reliability5510

How opinion has moved.

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

73% Jul 202656% Sep 2026 low56% Sep 202675% last 90 days
0255075100APPROVAL76% all-time73%56%Jul '26Aug '26Sep '26
Monthly approval, 0–100. Bars show opinion volume. Months with fewer than 3 opinions are left out.
View data table
MonthApprovalOpinions
Jul 202673%13
Aug 202689%9
Sep 202656%8

What developers say.

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

Praise

4 selected
Code quality

GPT-5.6 correctly identifies root causes of problems in their codebase.

HN comment · Oct 26, 2026Read on HN ↗
Code quality

Models since GPT-5.6 understand high-level intent well enough that they stopped writing spec rubrics.

HN comment · Sep 29, 2026Read on HN ↗
Code quality

GPT-5.6 was and still is much better, after criticizing the Astra and Sol models.

HN comment · Sep 24, 2026Read on HN ↗
Reliability

Recent GPT-5.6 experiences were very positive, without the erratic behavior they saw elsewhere.

HN comment · Sep 17, 2026Read on HN ↗

Complaints

4 selected
Reliability

GPT-5.6 became unusably bad at following instructions in their coding agent before the GPT-6.0 release.

HN comment · Sep 29, 2026Read on HN ↗
Cost & pricing

GPT-5.6 is smarter than DeepSeek but too pricey, and sometimes refuses or stops tasks midway.

HN comment · Sep 21, 2026Read on HN ↗
Reliability

GPT-5.6 refused to follow security-testing prompts and even declined to edit skill files.

HN comment · Jul 26, 2026Read on HN ↗
Code quality

GPT-5.6 in Codex is unusable: ignores scoped tasks, deletes unrelated code, and adds regressions.

HN comment · Jul 25, 2026Read on HN ↗

Questions developers ask.

Is GPT-5.6 worth it?
Most developers say yes for code quality. It scored 76% approval, and users report it finds root causes and uses fewer tokens than peers. The main cost is reliability: half the reliability comments were negative, citing mid-task stops and ignored instructions.
Is GPT-5.6 better than Claude Opus 4.8?
One developer preferred GPT-5.6 to Claude Opus 4.8, and another praised its communication compared with Claude. No one in the data preferred a competing model instead. The sample is small, so treat this as a weak signal.
How reliable is GPT-5.6 for coding?
Mixed. Reliability drew 5 positive and 5 negative comments. Complaints include deleting unrelated code, adding regressions, and leaving thinking in code comments. Some users also report refusals on security-testing prompts.

The data behind this page.

Developers give GPT-5.6 a 76% approval score across 33 opinions, and 26 of those come from firsthand use. Code quality is the strongest signal at 11 positive and 2 negative mentions. Reliability is split at 5 positive and 5 negative, with complaints about ignored scope, deleted code, and refused tasks. Monthly approval fell from 89 in August to 56 in September on 8 opinions, so the 90-day score of 75 hides a recent dip.

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 screened33 about GPT-5.626 first-hand

Read the full methodology →