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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 08:27 UTC · 2026-09-26 – 2026-10-03 UTC
All-platform score42.8/10068 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 68 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 34 comments: 12 positive / 19 negative / 3 mixed or neutral
  • Speed & latency · 17 comments: 10 positive / 6 negative / 1 mixed or neutral
  • Coding · 9 comments: 3 positive / 6 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: +0.9 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 34 · Zhihu 26

37 identifiable discussions cover 60/68 comments; the largest has 14. Remaining thread identities are unknown; this is not a count of independent users.

Selected individual opinions

One user says that in large code projects, once the structure is set, GPT-6 Luna can handle filling in code and details — it's much cheaper and sufficient for such coding tasks. One user notes GPT-6 Luna is the cheapest by far but also the worst among the listed models.

About the sample and scores

As of 2026-10-03 08:27:02 UTC, GPT-6 Luna in the GPT family has 68 explicitly attributed community comments in the last 7 days; its community score is 42.8/100. Available category scores include General text 41.7/100 (n=34); Coding 40.4/100 (n=9); Reasoning 53.0/100 (n=5). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

+13.8vs 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 · Reddit · 30 days of rolling 7-day experience scores 30405060 Observed-day mean: 38.8 2026-09-23 · 43.7 · n=32 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 41.8 · n=43 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 33.6 · n=55 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 35.0 · n=69 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 36.5 · n=75 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 37.3 · n=76 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 34.8 · n=77 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 33.2 · n=51 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 35.7 · n=42 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 46.5 · n=28 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 48.8 · n=28 · 2026-09-26T08:27:02+00:00 – 2026-10-03T08:27:02+00:00 48.8 09-0409-1209-1909-2610-03 GPT-6 Luna · Reddit · 30 days of rolling 7-day experience scores 30405060 Observed-day mean: 38.8 2026-09-23 · 43.7 · n=32 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 41.8 · n=43 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 33.6 · n=55 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 35.0 · n=69 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 36.5 · n=75 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 37.3 · n=76 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 34.8 · n=77 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 33.2 · n=51 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 35.7 · n=42 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 46.5 · n=28 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 48.8 · n=28 · 2026-09-26T08:27:02+00:00 – 2026-10-03T08:27:02+00:00 48.8 09-0409-1209-1909-2610-03
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0348.8282026-09-26T08:27:02+00:00 – 2026-10-03T08:27:02+00:00
2026-10-0246.5282026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-0135.7422026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3033.2512026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2934.8772026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-2837.3762026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-2736.5752026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-2635.0692026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-2533.6552026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-2441.8432026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-2343.7322026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00

Reddit · 48.8 · 28 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 UTC48.828 opinionsvs 7d ago +13.8Hacker NewsLatest scored opinion 2026-09-29 19:26 UTC53.78 opinionsvs 7d ago +7.6ZhihuLatest scored opinion 2026-10-03 04:50 UTC34.926 opinionsvs 7d ago −12.5RedNoteNo 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

2 selected excerpts

Community reports about limits cannot establish official allowances.

Explore long-term changes & analysis

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

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