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Claude · Last 7 days

Claude Fable 5

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

Updated 2026-10-04 07:47 UTC · 2026-09-27 – 2026-10-04 UTC
All-platform score56.1/100118 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 118 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 47 comments: 15 positive / 22 negative / 10 mixed or neutral
  • Reasoning · 28 comments: 22 positive / 5 negative / 1 mixed or neutral
  • Usage limits · 25 comments: 2 positive / 17 negative / 6 mixed or neutral
  • Coding · 11 comments: 8 positive / 3 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

Rolling 7-day score: −12.4 points vs 7 days ago. Discussion mix can affect scores; this does not establish a cause.

Source coverage and discussion concentration

Hacker News 12 · Reddit 99 · Zhihu 7

80 identifiable discussions cover 106/118 comments; the largest has 6. Remaining thread identities are unknown; this is not a count of independent users.

Selected individual opinions

One user had a problem that took 8 months to figure out, and Fable was the only model that could crack it. One user reported that Fable stumbles on enough tasks they throw at it, indicating frequent errors.

About the sample and scores

As of 2026-10-04 07:47:03 UTC, Claude Fable 5 in the Claude family has 118 explicitly attributed community comments in the last 7 days; its community score is 56.1/100. Available category scores include General text 42.2/100 (n=47); Coding 62.0/100 (n=11); Reasoning 72.5/100 (n=28). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

+6.7vs 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 Fable 5 · Hacker News · 30 days of rolling 7-day experience scores 3040506070 Observed-day mean: 55.9 2026-09-05 · 49.5 · n=61 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 50.8 · n=64 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 51.9 · n=68 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 62.3 · n=45 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 62.1 · n=41 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 57.7 · n=34 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 54.6 · n=19 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 55.6 · n=23 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 52.5 · n=20 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 50.7 · n=17 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 49.5 · n=14 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 59.5 · n=8 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 56.4 · n=9 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 56.0 · n=11 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 52.6 · n=7 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 52.6 · n=7 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 39.6 · n=9 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 48.9 · n=20 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 51.0 · n=23 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 52.1 · n=22 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 52.0 · n=20 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 54.0 · n=18 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 55.9 · n=19 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 63.8 · n=16 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 59.1 · n=7 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 68.2 · n=8 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 66.0 · n=7 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 66.0 · n=7 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 63.6 · n=8 · 2026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:002026-10-04 · 62.6 · n=10 · 2026-09-27T07:47:03+00:00 – 2026-10-04T07:47:03+00:00 62.6 09-0509-1309-2009-2710-04 Claude Fable 5 · Hacker News · 30 days of rolling 7-day experience scores 3040506070 Observed-day mean: 55.9 2026-09-05 · 49.5 · n=61 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 50.8 · n=64 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 51.9 · n=68 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 62.3 · n=45 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 62.1 · n=41 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 57.7 · n=34 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 54.6 · n=19 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 55.6 · n=23 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 52.5 · n=20 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 50.7 · n=17 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 49.5 · n=14 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 59.5 · n=8 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 56.4 · n=9 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 56.0 · n=11 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 52.6 · n=7 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 52.6 · n=7 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 39.6 · n=9 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 48.9 · n=20 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 51.0 · n=23 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 52.1 · n=22 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 52.0 · n=20 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 54.0 · n=18 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 55.9 · n=19 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 63.8 · n=16 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 59.1 · n=7 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 68.2 · n=8 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 66.0 · n=7 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 66.0 · n=7 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 63.6 · n=8 · 2026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:002026-10-04 · 62.6 · n=10 · 2026-09-27T07:47:03+00:00 – 2026-10-04T07:47:03+00:00 62.6 09-0509-1309-2009-2710-04
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0462.6102026-09-27T07:47:03+00:00 – 2026-10-04T07:47:03+00:00
2026-10-0363.682026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:00
2026-10-0266.072026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-0166.072026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3068.282026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2959.172026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-2863.8162026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-2755.9192026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-2654.0182026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-2552.0202026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-2452.1222026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-2351.0232026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00
2026-09-2248.9202026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00
2026-09-2139.692026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00
2026-09-2052.672026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00
2026-09-1952.672026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00
2026-09-1856.0112026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00
2026-09-1756.492026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00
2026-09-1659.582026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00
2026-09-1549.5142026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00
2026-09-1450.7172026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00
2026-09-1352.5202026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00
2026-09-1255.6232026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00
2026-09-1154.6192026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00
2026-09-1057.7342026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00
2026-09-0962.1412026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00
2026-09-0862.3452026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00
2026-09-0751.9682026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00
2026-09-0650.8642026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00
2026-09-0549.5612026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00

Hacker News · 62.6 · 10 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 2026-10-04 03:08 UTC53.079 opinionsvs 7d ago −16.3Hacker NewsLatest scored opinion 2026-10-04 03:08 UTC62.610 opinionsvs 7d ago +6.7ZhihuLatest scored opinion 2026-10-01 16:50 UTC59.66 opinionsvs 7d ago Not enough historyRedNoteNo scored opinion timestamp—0 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 Fable 5

Released 2026-06-09 · Back to Claude

Exact-version signals observed 2026-09-21–2026-10-03 · n=232

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
65.2
n=191
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 experience405060702026-09-14–2026-09-28 · 69.1 · n=1162026-09-15–2026-09-29 · 67.2 · n=1252026-09-16–2026-09-30 · 66.5 · n=1402026-09-17–2026-10-01 · 67.4 · n=1522026-09-18–2026-10-02 · 67.3 · n=1652026-09-19–2026-10-03 · 66.7 · n=1752026-09-20–2026-10-04 · 65.2 · n=19108-1408-2309-0109-1009-1909-2810-04

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 → 20 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 → 65 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 → 6 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Speed & latency Baseline → currentnot enough datan=0 → 17 Category change– Weight share– Experience contribution– Discussion-mix contribution–
General text Baseline → currentnot enough datan=0 → 85 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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