Claude · Last 7 days

Claude Opus 5

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 score22.5/10069 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 69 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 43 comments: 5 positive / 34 negative / 4 mixed or neutral
  • Reasoning · 14 comments: 5 positive / 9 negative / 0 mixed or neutral
  • Speed & latency · 5 comments: 0 positive / 4 negative / 1 mixed or neutral
  • Usage limits · 4 comments: 1 positive / 2 negative / 1 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: −7.1 points vs 7 days ago. Discussion mix can affect scores; this does not establish a cause.

Source coverage and discussion concentration

Hacker News 5 · Reddit 58 · RedNote 1 · Zhihu 5

49 identifiable discussions cover 64/69 comments; the largest has 5. Remaining thread identities are unknown; this is not a count of independent users.

Selected individual opinions

One user fed both models a script meant to print the max of two numbers; Opus 5 deduced it correctly, while Opus 5.5 wrongly concluded it prints 1/0. One user replied that even after the nerf, Opus 5.5 is still much better than Opus 5.

About the sample and scores

As of 2026-10-03 14:32:03 UTC, Claude Opus 5 in the Claude family has 69 explicitly attributed community comments in the last 7 days; its community score is 22.5/100. Available category scores include General text 20.5/100 (n=43); Reasoning 40.5/100 (n=14); Speed & latency 37.0/100 (n=5). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

+22.0vs 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.

Claude Opus 5 · Hacker News · 30 days of rolling 7-day experience scores 102030405060 Observed-day mean: 34.5 2026-09-04 · 40.6 · n=22 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 39.5 · n=23 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 41.5 · n=24 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 41.3 · n=23 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 47.1 · n=19 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 44.7 · n=16 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 34.8 · n=11 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 40.5 · n=9 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 36.6 · n=13 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 33.7 · n=12 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 36.6 · n=13 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 35.4 · n=12 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 35.3 · n=12 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 37.8 · n=10 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 39.5 · n=8 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-21 · 38.7 · n=6 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 25.0 · n=20 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 21.9 · n=24 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 21.1 · n=25 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 21.1 · n=25 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 20.4 · n=26 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 20.4 · n=26 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 19.5 · n=23 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 34.4 · n=8 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 39.2 · n=6 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 39.2 · n=6 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 39.2 · n=6 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 42.4 · n=5 · 2026-09-26T14:32:03+00:00 – 2026-10-03T14:32:03+00:00 42.4 09-0409-1209-1909-2610-03 Claude Opus 5 · Hacker News · 30 days of rolling 7-day experience scores 102030405060 Observed-day mean: 34.5 2026-09-04 · 40.6 · n=22 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 39.5 · n=23 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 41.5 · n=24 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 41.3 · n=23 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 47.1 · n=19 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 44.7 · n=16 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 34.8 · n=11 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 40.5 · n=9 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 36.6 · n=13 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 33.7 · n=12 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 36.6 · n=13 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 35.4 · n=12 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 35.3 · n=12 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 37.8 · n=10 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 39.5 · n=8 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-21 · 38.7 · n=6 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 25.0 · n=20 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 21.9 · n=24 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 21.1 · n=25 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 21.1 · n=25 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 20.4 · n=26 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 20.4 · n=26 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 19.5 · n=23 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 34.4 · n=8 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 39.2 · n=6 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 39.2 · n=6 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 39.2 · n=6 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 42.4 · n=5 · 2026-09-26T14:32:03+00:00 – 2026-10-03T14:32:03+00:00 42.4 09-0409-1209-1909-2610-03
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0342.452026-09-26T14:32:03+00:00 – 2026-10-03T14:32:03+00:00
2026-10-0239.262026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-0139.262026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3039.262026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2934.482026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-2819.5232026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-2720.4262026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-2620.4262026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-2521.1252026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-2421.1252026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-2321.9242026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00
2026-09-2225.0202026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00
2026-09-2138.762026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00
2026-09-20—32026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00
2026-09-19—32026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00
2026-09-1839.582026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00
2026-09-1737.8102026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00
2026-09-1635.3122026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00
2026-09-1535.4122026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00
2026-09-1436.6132026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00
2026-09-1333.7122026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00
2026-09-1236.6132026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00
2026-09-1140.592026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00
2026-09-1034.8112026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00
2026-09-0944.7162026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00
2026-09-0847.1192026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00
2026-09-0741.3232026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00
2026-09-0641.5242026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00
2026-09-0539.5232026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00
2026-09-0440.6222026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:00

Hacker News · 42.4 · 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.

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

Claude Opus 5

Released 2026-07-24 · Back to Claude

Exact-version signals observed 2026-09-21–2026-10-02 · n=127

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
22.0
n=119
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 experience20304050602026-09-13–2026-09-27 · 25.2 · n=682026-09-14–2026-09-28 · 23.5 · n=772026-09-15–2026-09-29 · 22.7 · n=932026-09-16–2026-09-30 · 23.0 · n=1052026-09-17–2026-10-01 · 21.6 · n=1112026-09-18–2026-10-02 · 22.2 · n=11808-1308-2208-3109-0909-1809-2710-02

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 → 27 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 → 6 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Speed & latency Baseline → currentnot enough datan=0 → 9 Category change– Weight share– Experience contribution– Discussion-mix contribution–
General text Baseline → currentnot enough datan=0 → 69 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?