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Claude · Last 7 days

Claude Opus 5

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

Updated 2026-10-04 09:22 UTC · 2026-09-27 – 2026-10-04 UTC
All-platform score23.9/10064 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 64 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 38 comments: 4 positive / 29 negative / 5 mixed or neutral
  • Reasoning · 15 comments: 5 positive / 10 negative / 0 mixed or neutral
  • Usage limits · 5 comments: 2 positive / 2 negative / 1 mixed or neutral
  • Speed & latency · 4 comments: 0 positive / 3 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: −3.2 points vs 7 days ago. Discussion mix can affect scores; this does not establish a cause.

Source coverage and discussion concentration

Hacker News 7 · Reddit 50 · v2ex 1 · RedNote 1 · Zhihu 5

47 identifiable discussions cover 57/64 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 2026-10-04 09:22:04 UTC, Claude Opus 5 in the Claude family has 64 explicitly attributed community comments in the last 7 days; its community score is 23.9/100. Available category scores include General text 22.1/100 (n=38); Reasoning 38.3/100 (n=15); Usage limits 49.3/100 (n=5). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

−5.4vs 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.

Claude Opus 5 · Reddit · 30 days of rolling 7-day experience scores 102030405060 Observed-day mean: 32.0 2026-09-05 · 27.3 · n=152 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 27.1 · n=150 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 27.3 · n=161 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 28.1 · n=151 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 29.1 · n=152 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 30.6 · n=153 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 32.9 · n=134 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 34.0 · n=139 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 36.5 · n=143 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 37.6 · n=143 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 37.7 · n=159 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 38.7 · n=178 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 40.2 · n=184 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 39.9 · n=199 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 41.1 · n=185 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 42.6 · n=180 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 42.5 · n=207 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 39.9 · n=215 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 38.8 · n=223 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 35.3 · n=205 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 36.0 · n=184 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 30.8 · n=174 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 28.8 · n=166 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 24.8 · n=122 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 23.5 · n=81 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 20.6 · n=62 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 19.6 · n=59 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 21.3 · n=57 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 22.5 · n=53 · 2026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:002026-10-04 · 23.4 · n=47 · 2026-09-27T09:22:04+00:00 – 2026-10-04T09:22:04+00:00 23.4 09-0509-1309-2009-2710-04 Claude Opus 5 · Reddit · 30 days of rolling 7-day experience scores 102030405060 Observed-day mean: 32.0 2026-09-05 · 27.3 · n=152 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 27.1 · n=150 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 27.3 · n=161 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 28.1 · n=151 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 29.1 · n=152 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 30.6 · n=153 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 32.9 · n=134 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 34.0 · n=139 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 36.5 · n=143 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 37.6 · n=143 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 37.7 · n=159 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 38.7 · n=178 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 40.2 · n=184 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 39.9 · n=199 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 41.1 · n=185 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 42.6 · n=180 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 42.5 · n=207 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 39.9 · n=215 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 38.8 · n=223 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 35.3 · n=205 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 36.0 · n=184 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 30.8 · n=174 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 28.8 · n=166 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 24.8 · n=122 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 23.5 · n=81 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 20.6 · n=62 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 19.6 · n=59 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 21.3 · n=57 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 22.5 · n=53 · 2026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:002026-10-04 · 23.4 · n=47 · 2026-09-27T09:22:04+00:00 – 2026-10-04T09:22:04+00:00 23.4 09-0509-1309-2009-2710-04
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0423.4472026-09-27T09:22:04+00:00 – 2026-10-04T09:22:04+00:00
2026-10-0322.5532026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:00
2026-10-0221.3572026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-0119.6592026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3020.6622026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2923.5812026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-2824.81222026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-2728.81662026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-2630.81742026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-2536.01842026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-2435.32052026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-2338.82232026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00
2026-09-2239.92152026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00
2026-09-2142.52072026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00
2026-09-2042.61802026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00
2026-09-1941.11852026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00
2026-09-1839.91992026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00
2026-09-1740.21842026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00
2026-09-1638.71782026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00
2026-09-1537.71592026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00
2026-09-1437.61432026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00
2026-09-1336.51432026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00
2026-09-1234.01392026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00
2026-09-1132.91342026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00
2026-09-1030.61532026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00
2026-09-0929.11522026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00
2026-09-0828.11512026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00
2026-09-0727.31612026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00
2026-09-0627.11502026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00
2026-09-0527.31522026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00

Reddit · 23.4 · 47 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 13:28 UTC23.447 opinionsvs 7d ago −5.4Hacker NewsLatest scored opinion 2026-10-03 22:05 UTC40.17 opinionsvs 7d ago +19.7ZhihuLatest scored opinion 2026-10-03 13:06 UTC43.55 opinionsvs 7d ago −8.0RedNoteLatest scored opinion 2026-09-28 15:26 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

Claude Opus 5

Released 2026-07-24 · Back to Claude

Exact-version signals observed 2026-09-21–2026-10-03 · n=131

Data window: 2026-09-06 00:00:00 to 2026-10-04 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 2026-10-03

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
21.6
n=123
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 · 22.3 · n=1182026-09-19–2026-10-03 · 21.6 · n=12108-1308-2208-3109-0909-1809-2710-03

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 → 10 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 → 29 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 → 70 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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