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GPT · Last 7 days

GPT-5.6 Sol

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

Updated 2026-10-04 01:57 UTC · 2026-09-27 – 2026-10-04 UTC
All-platform score48.5/10091 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 91 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 45 comments: 20 positive / 23 negative / 2 mixed or neutral
  • Reasoning · 18 comments: 11 positive / 7 negative / 0 mixed or neutral
  • Usage limits · 13 comments: 2 positive / 10 negative / 1 mixed or neutral
  • Coding · 9 comments: 4 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: −2.5 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 68 · RedNote 1 · Zhihu 14

45 identifiable discussions cover 83/91 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 2026-10-04 01:57:03 UTC, GPT-5.6 Sol in the GPT family has 91 explicitly attributed community comments in the last 7 days; its community score is 48.5/100. Available category scores include General text 48.1/100 (n=45); Coding 51.1/100 (n=9); Reasoning 54.2/100 (n=18). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

−7.4vs 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 · Reddit · 30 days of rolling 7-day experience scores 40506070 Observed-day mean: 53.3 2026-09-05 · 56.5 · n=58 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 60.0 · n=61 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 62.2 · n=56 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 55.6 · n=53 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 53.2 · n=62 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 53.0 · n=57 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 52.1 · n=53 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 54.3 · n=54 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 49.2 · n=56 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 56.5 · n=50 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 55.2 · n=46 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 60.1 · n=42 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 58.7 · n=39 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 56.2 · n=37 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 59.0 · n=35 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 60.3 · n=35 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 52.4 · n=33 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 51.3 · n=32 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 47.4 · n=41 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 48.0 · n=53 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 55.9 · n=64 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 54.0 · n=69 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 52.1 · n=85 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 52.0 · n=92 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 51.1 · n=104 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 51.8 · n=90 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 47.3 · n=75 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 43.5 · n=62 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 47.0 · n=62 · 2026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:002026-10-04 · 44.6 · n=57 · 2026-09-27T01:57:03+00:00 – 2026-10-04T01:57:03+00:00 44.6 09-0509-1309-2009-2710-04 GPT-5.6 Sol · Reddit · 30 days of rolling 7-day experience scores 40506070 Observed-day mean: 53.3 2026-09-05 · 56.5 · n=58 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 60.0 · n=61 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 62.2 · n=56 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 55.6 · n=53 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 53.2 · n=62 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 53.0 · n=57 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 52.1 · n=53 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 54.3 · n=54 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 49.2 · n=56 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 56.5 · n=50 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 55.2 · n=46 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 60.1 · n=42 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 58.7 · n=39 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 56.2 · n=37 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 59.0 · n=35 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 60.3 · n=35 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 52.4 · n=33 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 51.3 · n=32 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 47.4 · n=41 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 48.0 · n=53 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 55.9 · n=64 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 54.0 · n=69 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 52.1 · n=85 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 52.0 · n=92 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 51.1 · n=104 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 51.8 · n=90 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 47.3 · n=75 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 43.5 · n=62 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 47.0 · n=62 · 2026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:002026-10-04 · 44.6 · n=57 · 2026-09-27T01:57:03+00:00 – 2026-10-04T01:57:03+00:00 44.6 09-0509-1309-2009-2710-04
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0444.6572026-09-27T01:57:03+00:00 – 2026-10-04T01:57:03+00:00
2026-10-0347.0622026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:00
2026-10-0243.5622026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-0147.3752026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3051.8902026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2951.11042026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-2852.0922026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-2752.1852026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-2654.0692026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-2555.9642026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-2448.0532026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-2347.4412026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00
2026-09-2251.3322026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00
2026-09-2152.4332026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00
2026-09-2060.3352026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00
2026-09-1959.0352026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00
2026-09-1856.2372026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00
2026-09-1758.7392026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00
2026-09-1660.1422026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00
2026-09-1555.2462026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00
2026-09-1456.5502026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00
2026-09-1349.2562026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00
2026-09-1254.3542026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00
2026-09-1152.1532026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00
2026-09-1053.0572026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00
2026-09-0953.2622026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00
2026-09-0855.6532026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00
2026-09-0762.2562026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00
2026-09-0660.0612026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00
2026-09-0556.5582026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00

Reddit · 44.6 · 57 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 12:01 UTC44.657 opinionsvs 7d ago −7.4Hacker NewsLatest scored opinion 2026-09-30 11:33 UTC53.87 opinionsvs 7d ago +3.4ZhihuLatest scored opinion 2026-10-02 13:33 UTC56.714 opinionsvs 7d ago +9.6RedNoteLatest 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

8 selected excerpts

Community reports about limits cannot establish official allowances.

NegativeReasoning

“It started to hallucinatine some log files. For example it explained that a aspect of 9th step is open and awaiting review while the log file he is talking about is non existent.”

Reddit · r/ChatGPT ↗
NegativeSpeed & latency

“So slow it is basically unusable in my experience”

Reddit · r/codex ↗
NegativeSpeed & latency

“a shitty promt that used to take 5.6 like two minutes is taking over 10 minutes now”

Reddit · r/codex ↗
PositiveUsage limits

“Basically unlimited chat is the reason I have stuck with ChatGPT”

Reddit · r/codex ↗

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.

How's your AI experience today?