GPT · Last 7 days

GPT-5.6 Terra

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

Updated 2026-10-03 14:32 UTC · 2026-09-26 – 2026-10-03 UTC
All-platform score45.9/1008 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 8 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 6 comments: 2 positive / 3 negative / 1 mixed or neutral
  • Coding · 1 comments: 0 positive / 0 negative / 1 mixed or neutral
  • Reasoning · 1 comments: 0 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

Recent change: not enough history to assess improvement or decline.

Source coverage and discussion concentration

Hacker News 3 · Reddit 5

4 identifiable discussions cover 5/8 comments; the largest has 2. Remaining thread identities are unknown; this is not a count of independent users.

Selected individual opinions

One user rates GPT-5.6 Terra as having intermediate coding quality.

About the sample and scores

As of 2026-10-03 14:32:03 UTC, GPT-5.6 Terra in the GPT family has 8 explicitly attributed community comments in the last 7 days; its community score is 45.9/100. Available category scores include General text 50.2/100 (n=6). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

Not enough historyvs 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-5.6 Terra · Reddit · 30 days of rolling 7-day experience scores 30405060 Observed-day mean: 43.8 2026-09-29 · 38.6 · n=5 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-10-03 · 48.9 · n=5 · 2026-09-26T14:32:03+00:00 – 2026-10-03T14:32:03+00:00 48.9 09-0409-1209-1909-2610-03 GPT-5.6 Terra · Reddit · 30 days of rolling 7-day experience scores 30405060 Observed-day mean: 43.8 2026-09-29 · 38.6 · n=5 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-10-03 · 48.9 · n=5 · 2026-09-26T14:32:03+00:00 – 2026-10-03T14:32:03+00:00 48.9 09-0409-1209-1909-2610-03
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0348.952026-09-26T14:32:03+00:00 – 2026-10-03T14:32:03+00:00
2026-10-02—42026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-01—42026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-30—42026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2938.652026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-28—42026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-27—22026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-26—12026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-25—12026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-24—12026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-23—12026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00
2026-09-22—02026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00
2026-09-21—02026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00
2026-09-20—12026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00
2026-09-19—22026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00
2026-09-18—22026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00
2026-09-17—22026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00
2026-09-16—22026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00
2026-09-15—32026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00
2026-09-14—22026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00
2026-09-13—22026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00
2026-09-12—22026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00
2026-09-11—22026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00
2026-09-10—22026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00
2026-09-09—12026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00
2026-09-08—12026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00
2026-09-07—32026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00
2026-09-06—22026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00
2026-09-05—22026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00
2026-09-04—22026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:00

Reddit · 48.9 · 5 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.

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.

1 selected excerpts

Explore long-term changes & analysis

Model lifecycle

GPT-5.6 Terra

Released 2026-07-10 · Back to GPT

Exact-version signals observed 2026-09-23–2026-09-29 · n=11

Data window: 2026-09-05 00:00:00 to 2026-10-03 00:00:00 UTC · Scoring method: experience_score_v3.

Collecting a stable baseline A verdict appears after the first 14-day window reaches n=30 across at least 7 active days.

Lifecycle updated daily · latest complete UTC day 2026-10-02

Fixed 14-day baseline
–
–
Latest 28 days
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n=10
Change vs baseline
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90-day slope
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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.

Waiting for a sample-sufficient baseline

A complete window needs n=30 across at least 7 active days · current signals n=11

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 → 1 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 → 2 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 → 0 Category change– Weight share– Experience contribution– Discussion-mix contribution–
General text Baseline → currentnot enough datan=0 → 7 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.

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