DeepSeek V4: what 48 developers actually say.

48 Hacker News opinions from 44 developers, Nov 2025 – Nov 2026. 39 come from people who say they use it. Here is what they praise, what they complain about, and who switched.

48 opinions44 developersNov 2025 – Nov 2026Methodology
Approval
78%
±9.8 at 90% confidence
Last 90 days
72%
↓ 6 pts vs all-time
Rank
#13
of 45 models · CI-adjusted
Opinions
48
39 first-hand
Developers
44
1.1 opinions each
The short version

The case for DeepSeek V4, in one paragraph.

DeepSeek V4 earns 78% approval across 48 opinions. Developers praise its cost & pricing. In the last 90 days it sits at 72%.

Pick it if you

  • Want low cost for routine coding and quick fixes
  • Need a cheap second opinion on engineering decisions
  • Work on algorithmic reasoning or small, contained tasks

Look elsewhere if you

  • Need dependable long runs in large codebases
  • Need precise detail recall across large context
  • Depend on stable output formats and complete rows

Where it wins and loses.

Mentions across 48 opinions. Bars are counts, not votes; a tool can be both praised and criticized on the same topic.

TopicComplaints ← → PraiseMentions
Cost & pricing 23 mentions
221
Code quality 11 mentions
110
PraiseComplaint
2 topics shown · sorted by net sentiment · source: 48 opinions
View data table
TopicPraiseComplaintsMentions
Cost & pricing21223
Code quality10111

How opinion has moved.

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

100% Apr 202650% Aug 2026 low100% Oct 202672% last 90 days
0255075100APPROVAL78% all-time100%50% low100%Apr '26May '26Jun '26Jul '26Aug '26Oct '26
Monthly approval, 0–100. Bars show opinion volume. Months with fewer than 3 opinions are left out.
View data table
MonthApprovalOpinions
Apr 2026100%3
May 202668%19
Jun 202695%11
Jul 202675%6
Aug 202650%5
Oct 2026100%4

What developers say.

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

Praise

4 selected

They will keep using DeepSeek V4 if the new release is comparable to it.

HN comment · Oct 19, 2026Read on HN ↗
Code quality

Uses DeepSeek V4 locally as daily driver; it one-shots iOS apps but is slowish and sometimes needs retries.

HN comment · Oct 17, 2026Read on HN ↗

Lists DeepSeek V4 among favorite open models used via API before moving to a $100 subscription.

HN comment · Oct 9, 2026Read on HN ↗
Code quality

Likes the DeepSeek V4 models, saying they critique engineering decisions better than MiMo.

HN comment · Aug 12, 2026Read on HN ↗

Complaints

4 selected
Speed

The final DeepSeek V4 overthinks, takes over an hour per run, and grades lower than Luna.

HN comment · Aug 8, 2026Read on HN ↗
Reliability

DeepSeek V4 flash and pro changed output formats and skipped rows, unlike GPT models on the same check.

HN comment · Aug 6, 2026Read on HN ↗
Large codebases

Finds DeepSeek V4 weaker than Opus at spotting small details in large context.

HN comment · May 31, 2026Read on HN ↗
Reliability

DeepSeek V4 repeatedly claimed completion on a reverse-engineering task and took shortcuts.

HN comment · May 24, 2026Read on HN ↗

Questions developers ask.

Is DeepSeek V4 worth it?
For cost-sensitive work, yes. It has 78% approval, and pricing is its strongest aspect at 21 positive and 2 negative comments. Check reliability needs first, since that aspect is 1 positive and 4 negative.
Is DeepSeek V4 better than Claude Opus?
The data does not settle this. One person preferred DeepSeek V4 over Claude Opus 4.5, and one preferred Claude Opus 4.7 instead. A complaint also says DeepSeek V4 is weaker at spotting small details in large context.
How reliable is DeepSeek V4?
Reliability is its weakest aspect, with 1 positive and 4 negative comments. Users report false completion claims, erratic visible thinking, and runs that take over an hour. The overall approval score is still 78%, so results vary.

The data behind this page.

Developers give DeepSeek V4 a 78% approval score across 48 opinions from 44 authors, including 39 firsthand reports. Cost is the main driver: pricing drew 21 positive and 2 negative comments, and code quality drew 10 positive and 1 negative. Reliability is the weak spot at 1 positive and 4 negative, with reports of stalls and false completion claims on longer tasks. Approval over the last 90 days is 72%, below the overall figure, and monthly samples are small: 50% in August 2026 and 100% in October 2026.

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 screened48 about DeepSeek V439 first-hand

Read the full methodology →