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GPT · Last 7 days

GPT-6 Luna

0–100 · higher means more positive community experience, not benchmark performance.

Updated 2026-10-03 04:32 UTC · 2026-09-26 – 2026-10-03 UTC
All-platform score42.1/10070 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 70 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 36 comments: 12 positive / 21 negative / 3 mixed or neutral
  • Speed & latency · 18 comments: 10 positive / 7 negative / 1 mixed or neutral
  • Coding · 8 comments: 3 positive / 5 negative / 0 mixed or neutral
  • Usage limits · 6 comments: 4 positive / 2 negative / 0 mixed or neutral

Comments may cover multiple dimensions; counts are not additive or equivalent to the weighted score. Links show selected source excerpts.

Recent change

Rolling 7-day score: +0.1 points vs 7 days ago. Discussion mix can affect scores; this does not establish a cause.

Source coverage and discussion concentration

Hacker News 8 · Reddit 35 · Zhihu 27

37 identifiable discussions cover 62/70 comments; the largest has 16. Remaining thread identities are unknown; this is not a count of independent users.

Selected individual opinions

One user notes that on the DeepSWE v1.1 software engineering test, GPT-6 Luna scored 66.6%, near Opus 5/Fable 5 medium effort, with per-task cost ~93%/96% lower. One user asked GPT-6 Luna to use computer use to solve a problem, but it stubbornly refused despite repeated reminders

About the sample and scores

As of 2026-10-03 04:32:03 UTC, GPT-6 Luna in the GPT family has 70 explicitly attributed community comments in the last 7 days; its community score is 42.1/100. Available category scores include General text 39.7/100 (n=36); Coding 43.5/100 (n=8); Reasoning 53.0/100 (n=5). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

+7.6vs 7 days ago · points

30 days of rolling 7-day scores at each daily snapshot. The vertical scale adapts to the data. Missing or insufficient samples leave gaps; today is still updating.

Tap or use ← → for dates, scores and sample sizes. Blank dates have insufficient data.

GPT-6 Luna · Hacker News · 30 days of rolling 7-day experience scores 405060 Observed-day mean: 51.5 2026-09-26 · 46.0 · n=6 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 46.0 · n=6 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 49.7 · n=7 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 55.5 · n=12 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 53.7 · n=8 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 53.7 · n=8 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 53.7 · n=8 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 53.7 · n=8 · 2026-09-26T04:32:03+00:00 – 2026-10-03T04:32:03+00:00 53.7 09-0409-1209-1909-2610-03 GPT-6 Luna · Hacker News · 30 days of rolling 7-day experience scores 405060 Observed-day mean: 51.5 2026-09-26 · 46.0 · n=6 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 46.0 · n=6 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 49.7 · n=7 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 55.5 · n=12 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 53.7 · n=8 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 53.7 · n=8 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 53.7 · n=8 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 53.7 · n=8 · 2026-09-26T04:32:03+00:00 – 2026-10-03T04:32:03+00:00 53.7 09-0409-1209-1909-2610-03
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0353.782026-09-26T04:32:03+00:00 – 2026-10-03T04:32:03+00:00
2026-10-0253.782026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-0153.782026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3053.782026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2955.5122026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-2849.772026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-2746.062026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-2646.062026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-25—42026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-24—42026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-23—42026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00

Hacker News · 53.7 · 8 scored comments · Read platform reviews →

ONE MODEL, DIFFERENT COMMUNITIES

Across the communities

Last 7 days

Scored separately for each platform, with different samples and audiences. Platform scores are not simply averaged; scored counts exclude quota-only comments.

RedditLatest scored opinion 2026-10-02 23:52 UTC47.329 opinionsvs 7d ago +12.4Hacker NewsLatest scored opinion 2026-09-29 19:26 UTC53.78 opinionsvs 7d ago +7.6ZhihuLatest scored opinion 2026-10-02 12:09 UTC34.627 opinionsvs 7d ago −12.7RedNoteNo scored opinion timestamp—0 opinionsInsufficient sample

Scores range from 0 to 100. Select a platform for its trend and reviews. Latest opinion time is not crawler health.

Community reviews

Selected comments from the last 7 days. The balance of excerpts does not represent the share of positive reviews.

Platform
Sentiment

1 selected excerpts

Community reports about limits cannot establish official allowances.

NegativeCoding

“just a "done!" where you then have to clean everything up afterwards”

Hacker News ↗
Comment context
From the same comment ↗

I've had bad experiences with gpt 6 luna, but 5.6 luna worked real nicely with e.g React, you can do a back n forth and it'll work like a teammate vs just a "done!" where you then have to clean everything up afterwards

Explore long-term changes & analysis

This version is not yet tracked since release; recent 7-day experience is shown above.

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