GPT · Last 7 days
GPT-5.6 Luna
0–100 · higher means more positive community experience, not benchmark performance.
Updated 2026-10-04 07:42 UTC · 2026-09-27 – 2026-10-04 UTCDiscussion overview
What the full sample discusses
All platforms · 31 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.
- General text · 11 comments: 7 positive / 4 negative / 0 mixed or neutral
- Usage limits · 8 comments: 5 positive / 2 negative / 1 mixed or neutral
- Reasoning · 6 comments: 4 positive / 2 negative / 0 mixed or neutral
- Coding · 4 comments: 3 positive / 1 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: +13.7 points vs 7 days ago. Discussion mix can affect scores; this does not establish a cause.
Source coverage and discussion concentration
Hacker News 3 · Reddit 21 · Zhihu 7
21 identifiable discussions cover 28/31 comments; the largest has 3. Remaining thread identities are unknown; this is not a count of independent users.
Selected individual opinions
One user feels that the quota of ChatGPT's free model 5.6 Luna is relatively sufficient One user reported that GPT-5.6 Luna was extremely unintelligent, unable to use tool calls, and shockingly poor in chat.
About the sample and scores
As of 2026-10-04 07:42:03 UTC, GPT-5.6 Luna in the GPT family has 31 explicitly attributed community comments in the last 7 days; its community score is 61.0/100. Available category scores include General text 58.1/100 (n=11); Reasoning 57.8/100 (n=6); Usage limits 59.1/100 (n=8). Scoring method and sources
RECENT EXPERIENCE
How the Experience Index is changing
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.
No trend available
RedNote · Not enough opinions · 0 scored comments · Read platform reviews →
ONE MODEL, DIFFERENT COMMUNITIES
Across the communities
Scored separately for each platform, with different samples and audiences. Platform scores are not simply averaged; scored counts exclude quota-only comments.
Scores range from 0 to 100. Select a platform for its trend and reviews. Latest opinion time is not crawler health.
Explore long-term changes & analysis
Model lifecycle
GPT-5.6 Luna
Released 2026-07-10 · Back to GPT
Exact-version signals observed 2026-09-23–2026-10-03 · n=74
Data window: 2026-09-06 00:00:00 to 2026-10-04 00:00:00 UTC · Scoring method: experience_score_v3.
Lifecycle updated daily · latest complete UTC day 2026-10-03
The current classification method has insufficient evidence in the original baseline window. The window is preserved; no long-term improvement or decline is inferred, and old-method scores are not compared.
- Fixed 14-day baseline
- – n=0
- Latest 28 days
- 58.5 n=60
- Change vs baseline
- –
- 90-day slope
- – pts / 30 days
14-day rolling experience
Each daily point summarizes the previous 14 complete UTC days. The dashed line is the fixed release baseline; the verdict still uses independent non-overlapping 14-day segments.
0 of 4 independent 14-day segments ready for trend judgment.
What explains the change
Experience change and discussion-mix change are separated. These are observational contributions, not proof of cause.
No category has enough samples in both windows for a contribution conclusion.
| Category | Baseline → current | Category change | Weight share | Experience contribution | Discussion-mix contribution |
|---|---|---|---|---|---|
| Coding | Baseline → currentnot enough datan=0 → 9 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
| Image generation | Baseline → currentnot enough datan=0 → 0 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
| Image understanding | Baseline → currentnot enough datan=0 → 0 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
| Local deploy | Baseline → currentnot enough datan=0 → 0 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
| Reasoning | Baseline → currentnot enough datan=0 → 12 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
| Roleplay / creative | Baseline → currentnot enough datan=0 → 0 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
| Safety & refusals | Baseline → currentnot enough datan=0 → 0 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
| Speed & latency | Baseline → currentnot enough datan=0 → 6 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
| General text | Baseline → currentnot enough datan=0 → 34 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
| Video generation | Baseline → currentnot enough datan=0 → 0 | Category change– | Weight share– | Experience contribution– | Discussion-mix contribution– |
Lifecycle scores use the same experience-signal weights as the main index, without sample shrinkage after n=30. They measure public user perception, not model capability or backend causes.
Community reviews
Selected comments from the last 7 days. The balance of excerpts does not represent the share of positive reviews.
0 selected excerpts
Community reports about limits cannot establish official allowances.
Show original
额度感觉也相对还算充足
Comment context
So the reserve is literally the previous model (gpt-5.6-Luna) with its own 100% quota — the old model doing backup duty is kind of clever.
Show original
5.6lunamax就是略弱于dsv4f正式版
No selected comments for this filter in the last 7 days.