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GPT · Last 7 days

GPT-5.6 Sol

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

Updated 2026-10-03 18:17 UTC · 2026-09-26 – 2026-10-03 UTC
All-platform score48.1/100100 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 100 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 49 comments: 23 positive / 24 negative / 2 mixed or neutral
  • Reasoning · 20 comments: 12 positive / 8 negative / 0 mixed or neutral
  • Usage limits · 16 comments: 3 positive / 12 negative / 1 mixed or neutral
  • Coding · 8 comments: 3 positive / 3 negative / 2 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: −3.8 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 75 · RedNote 2 · Zhihu 15

48 identifiable discussions cover 92/100 comments; the largest has 10. Remaining thread identities are unknown; this is not a count of independent users.

Selected individual opinions

One user still uses GPT-5.6 Sol in their custom Codex coding harness One user tested GPT-5.6 Sol on the "Three-color Garden" problem, but it could not solve it, whereas GPT-6 Astra solved it in about 30 minutes.

About the sample and scores

As of 2026-10-03 18:17:03 UTC, GPT-5.6 Sol in the GPT family has 100 explicitly attributed community comments in the last 7 days; its community score is 48.1/100. Available category scores include General text 49.9/100 (n=49); Coding 47.6/100 (n=8); Reasoning 54.0/100 (n=20). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

+3.4vs 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 Sol · Hacker News · 30 days of rolling 7-day experience scores 3040506070 Observed-day mean: 47.7 2026-09-04 · 63.8 · n=11 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 62.2 · n=10 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 62.2 · n=10 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 62.2 · n=10 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 55.5 · n=8 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 48.2 · n=10 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 36.8 · n=8 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 39.4 · n=7 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 39.4 · n=7 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 41.9 · n=9 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 41.9 · n=9 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 44.5 · n=9 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 44.9 · n=7 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 43.4 · n=6 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 43.4 · n=6 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 39.9 · n=7 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 37.3 · n=5 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 32.8 · n=7 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 35.3 · n=8 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 38.1 · n=7 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 43.3 · n=5 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 47.6 · n=6 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 50.3 · n=6 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 50.3 · n=6 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 52.5 · n=5 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 56.0 · n=7 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 55.0 · n=9 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 55.0 · n=9 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 53.8 · n=7 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 53.8 · n=7 · 2026-09-26T18:17:03+00:00 – 2026-10-03T18:17:03+00:00 53.8 09-0409-1209-1909-2610-03 GPT-5.6 Sol · Hacker News · 30 days of rolling 7-day experience scores 3040506070 Observed-day mean: 47.7 2026-09-04 · 63.8 · n=11 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 62.2 · n=10 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 62.2 · n=10 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 62.2 · n=10 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 55.5 · n=8 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 48.2 · n=10 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 36.8 · n=8 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 39.4 · n=7 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 39.4 · n=7 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 41.9 · n=9 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 41.9 · n=9 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 44.5 · n=9 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 44.9 · n=7 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 43.4 · n=6 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 43.4 · n=6 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 39.9 · n=7 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 37.3 · n=5 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 32.8 · n=7 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 35.3 · n=8 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 38.1 · n=7 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 43.3 · n=5 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 47.6 · n=6 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 50.3 · n=6 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 50.3 · n=6 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 52.5 · n=5 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 56.0 · n=7 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 55.0 · n=9 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 55.0 · n=9 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 53.8 · n=7 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 53.8 · n=7 · 2026-09-26T18:17:03+00:00 – 2026-10-03T18:17:03+00:00 53.8 09-0409-1209-1909-2610-03
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0353.872026-09-26T18:17:03+00:00 – 2026-10-03T18:17:03+00:00
2026-10-0253.872026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-0155.092026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3055.092026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2956.072026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-2852.552026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-2750.362026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-2650.362026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-2547.662026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-2443.352026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-2338.172026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00
2026-09-2235.382026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00
2026-09-2132.872026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00
2026-09-2037.352026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00
2026-09-1939.972026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00
2026-09-1843.462026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00
2026-09-1743.462026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00
2026-09-1644.972026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00
2026-09-1544.592026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00
2026-09-1441.992026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00
2026-09-1341.992026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00
2026-09-1239.472026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00
2026-09-1139.472026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00
2026-09-1036.882026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00
2026-09-0948.2102026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00
2026-09-0855.582026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00
2026-09-0762.2102026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00
2026-09-0662.2102026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00
2026-09-0562.2102026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00
2026-09-0463.8112026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:00

Hacker News · 53.8 · 7 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 2026-10-03 10:19 UTC45.462 opinionsvs 7d ago −8.6Hacker NewsLatest scored opinion 2026-09-30 11:33 UTC53.87 opinionsvs 7d ago +3.4ZhihuLatest scored opinion 2026-10-02 13:33 UTC52.815 opinionsvs 7d ago +7.7RedNoteLatest scored opinion 2026-10-02 15:58 UTC—1 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

0 selected excerpts

Community reports about limits cannot establish official allowances.

No selected comments for this filter in the last 7 days.

Explore long-term changes & analysis

Model lifecycle

GPT-5.6 Sol

Released 2026-07-10 · Back to GPT

Exact-version signals observed 2026-09-23–2026-10-02 · n=168

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

Insufficient historical baseline The original baseline window lacks enough current-method evidence for a long-term comparison.

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

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
52.1
n=142
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.

14-day rolling experience4050602026-09-16–2026-09-30 · 51.3 · n=1262026-09-17–2026-10-01 · 51.0 · n=1312026-09-18–2026-10-02 · 51.6 · n=1382026-09-19–2026-10-03 · 52.1 · n=14208-1408-2309-0109-1009-1909-2810-03

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 → 12 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 → 34 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Roleplay / creative Baseline → currentnot enough datan=0 → 3 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Safety & refusals Baseline → currentnot enough datan=0 → 4 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Speed & latency Baseline → currentnot enough datan=0 → 12 Category change– Weight share– Experience contribution– Discussion-mix contribution–
General text Baseline → currentnot enough datan=0 → 81 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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