Gemma 4: what 68 developers actually say.

68 Hacker News opinions from 57 developers, Nov 2025 – Nov 2026. 57 come from people who say they use it. Here is what they praise, what they complain about, and who switched.

68 opinions57 developersNov 2025 – Nov 2026Methodology
Approval
62%
±9.7 at 90% confidence
Last 90 days
–
No recent data
Rank
#31
of 45 models · CI-adjusted
Opinions
68
57 first-hand
Developers
57
1.2 opinions each
The short version

The case for Gemma 4, in one paragraph.

Gemma 4 earns 62% approval across 68 opinions. Developers praise its code quality.

Pick it if you

  • Want a local model for simple coding tasks and code overviews
  • Care about privacy and local deployment
  • Need fast responses or help finding security bugs

Look elsewhere if you

  • Need dependable agentic coding on complex projects
  • Expect long sessions to survive context compaction
  • Need frontier-level design work on large codebases

Where it wins and loses.

Mentions across 68 opinions. Bars are counts, not votes; a tool can be both praised and criticized on the same topic.

TopicComplaints ← → PraiseMentions
Code quality 20 mentions
416
Reliability 10 mentions
82
PraiseComplaint
2 topics shown · sorted by net sentiment · source: 68 opinions
View data table
TopicPraiseComplaintsMentions
Code quality16420
Reliability2810

How opinion has moved.

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

64% Apr 202645% May 2026 low50% Sep 2026– last 90 days
0255075100APPROVAL62% all-time64%45% low50%Apr '26May '26Jun '26Jul '26Aug '26Sep '26
Monthly approval, 0–100. Bars show opinion volume. Months with fewer than 3 opinions are left out.
View data table
MonthApprovalOpinions
Apr 202664%18
May 202645%11
Jun 202670%27
Jul 202670%5
Aug 202650%4
Sep 202650%3

What developers say.

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

Praise

4 selected
Speed

Reports a faster per-answer latency working with Gemma 4, but the patch does not work with Qwen 3.8 models.

HN comment · Sep 19, 2026Read on HN ↗
Cost & pricing

Uses Gemma 4 a lot, building system prompts in OpenCode to improve its results.

HN comment · Aug 12, 2026Read on HN ↗
Code quality

Gemma 4 and Qwen 3.6 produce strong results when implementing plans handed over from Gemini.

HN comment · Jul 12, 2026Read on HN ↗
Code quality

Local Gemma 4 under OpenCode handles tools well with good code quality, fine for simple projects.

HN comment · Jul 9, 2026Read on HN ↗

Complaints

4 selected
Code quality

Runs Gemma 4 26B A4B locally and considers it fine for general needs but not for coding features.

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

Gemma 4 tasks fail after context compaction and loop, and it misfired commands during a Proxmox fix.

HN comment · Aug 18, 2026Read on HN ↗
Large codebases

Gemma 4 12B feels like a downgrade from Qwen 2.5 14B for large projects.

HN comment · Jun 30, 2026Read on HN ↗
Code quality

Local Gemma 4 falls well short of Opus and Fable on complex codebase design problems.

HN comment · Jun 15, 2026Read on HN ↗

Questions developers ask.

Is Gemma 4 worth it?
It depends on the job. It has 62% approval and positive marks for code quality, speed, and local use, but reliability is negative at 2 positive and 8 negative opinions.
Is Gemma 4 better than Qwen 3.6?
Opinions split. Six people preferred Gemma 4 over Qwen 3.6, while three preferred Qwen 3.6 and three preferred Qwen 3.5. One complaint calls Gemma 4 notably worse at agentic coding than DeepSeek V4 Flash or Qwen 3.6 27B.
Is Gemma 4 good for agentic coding?
Feedback is mixed. Autonomy has 3 positive and 3 negative opinions, and complaints mention loops, misfired commands, and failed tasks after context compaction. One developer says it is worse at agentic coding than DeepSeek V4 Flash or Qwen 3.6 27B.

The data behind this page.

Developers give Gemma 4 62% approval across 68 opinions, and most feedback comes from firsthand use. They praise its code quality (16 positive, 4 negative), speed (6 positive, 0 negative), and privacy and local use (6 positive, 0 negative). Reliability is the weak point (2 positive, 8 negative), with reports of loops and failed tasks after context compaction. Monthly approval moved from 64% in April to 45% in May, 70% in June and July, then 50% in August and September on only 4 and 3 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 screened68 about Gemma 457 first-hand

Read the full methodology →