Qwen 3.5: what 41 developers actually say.

41 Hacker News opinions from 38 developers, Nov 2025 – Nov 2026. 32 come from people who say they use it. Here is what they praise, what they complain about, and who switched.

41 opinions38 developersNov 2025 – Nov 2026Methodology
Approval
61%
±12.5 at 90% confidence
Last 90 days
–
No recent data
Rank
#34
of 45 models · CI-adjusted
Opinions
41
32 first-hand
Developers
38
1.1 opinions each
The short version

The case for Qwen 3.5, in one paragraph.

Qwen 3.5 earns 61% approval across 41 opinions. Developers are divided on it.

Pick it if you

  • Want local inference for private coding work
  • Need help with scripts and medium-sized tasks
  • Have a desktop GPU or laptop iGPU for a 27B or 35B model

Look elsewhere if you

  • Need dependable agentic coding
  • Work mainly in a large C# monolith
  • Expect Claude Sonnet or Opus quality

Where it wins and loses.

Mentions across 41 opinions. Bars are counts, not votes; a tool can be both praised and criticized on the same topic.

TopicComplaints ← → PraiseMentions
Code quality 12 mentions
48
PraiseComplaint
1 topics shown · sorted by net sentiment · source: 41 opinions
View data table
TopicPraiseComplaintsMentions
Code quality8412

How opinion has moved.

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

74% Mar 202625% Oct 2026 low25% Oct 2026– last 90 days
0255075100APPROVAL61% all-time74%25%Mar '26Apr '26May '26Oct '26
Monthly approval, 0–100. Bars show opinion volume. Months with fewer than 3 opinions are left out.
View data table
MonthApprovalOpinions
Mar 202674%17
Apr 202662%12
May 202638%4
Oct 202625%4

What developers say.

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

Praise

4 selected
Privacy & local use

Their finetuned local Qwen 3.5 model is great for scripts and medium coding tasks.

HN comment · Oct 17, 2026Read on HN ↗

The multi-agent review workflow worked well with local Qwen 3.5 when they last used it.

HN comment · Jun 15, 2026Read on HN ↗
Privacy & local use

Reports reasonable results running Qwen 3.5 locally on a desktop GPU.

HN comment · May 28, 2026Read on HN ↗
Code quality

The 27B dense Qwen 3.5 gives better responses than the faster 35B MoE.

HN comment · Apr 21, 2026Read on HN ↗

Complaints

4 selected
Speed

Struggled with Qwen 3.5 9B due to slow speed and looping on reasoning.

HN comment · Oct 6, 2026Read on HN ↗
Reliability

Qwen 3.5 Q4 got stuck in a fix-and-break loop on a simple tic-tac-toe game.

HN comment · Oct 4, 2026Read on HN ↗
Code quality

Runs a Qwen 3.5 A3B model locally and considers it fine for general needs but not for coding features.

HN comment · Sep 1, 2026Read on HN ↗
Speed

Qwen 3.5 noticeably slows down their machine during code assist.

HN comment · May 11, 2026Read on HN ↗

Questions developers ask.

Is Qwen 3.5 worth it?
It has 61% approval from 41 opinions, with local and private use as its strongest area at 6 positive and 0 negative mentions. Code quality is positive at 8 to 4, but reliability is negative at 0 to 5.
Is Qwen 3.5 better than Gemma 4?
The data is split: 3 people preferred Qwen 3.5 over Gemma 4, and 2 preferred Gemma 4. One complaint said a Qwen orchestration setup needed fixes that Gemma would not have needed.
Is Qwen 3.5 good for coding?
Code quality mentions are 8 positive and 4 negative. Developers report good results on scripts and medium tasks, while some say 9B versions fail beyond trivial work. Reliability complaints include loops, stuck fixes, and weak agentic performance.

The data behind this page.

Developers give Qwen 3.5 61% approval across 41 opinions from 38 authors, and 32 were firsthand. Local and private use is the clearest strength at 6 positive and 0 negative mentions, while code quality leans positive at 8 to 4. Reliability is the main weakness at 0 positive and 5 negative, with reports of loops, failed fixes, and weak agentic performance. Monthly approval fell from 74% in March to 62% in April and 38% in May, then moved to 75%, 0%, and 25% on samples of 2, 1, and 4 opinions.

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 screened41 about Qwen 3.532 first-hand

Read the full methodology →