Claude · Last 7 days

Claude Fable 5

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

Updated 2026-10-03 15:32 UTC · 2026-09-26 – 2026-10-03 UTC
All-platform score60.5/100106 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 106 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 41 comments: 16 positive / 17 negative / 8 mixed or neutral
  • Reasoning · 25 comments: 20 positive / 4 negative / 1 mixed or neutral
  • Usage limits · 22 comments: 3 positive / 14 negative / 5 mixed or neutral
  • Coding · 12 comments: 9 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: −7.4 points vs 7 days ago. Discussion mix can affect scores; this does not establish a cause.

Source coverage and discussion concentration

Hacker News 9 · Reddit 90 · Zhihu 7

76 identifiable discussions cover 97/106 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 notes that Claude Fable 5 burns through both the 5-hour and weekly usage limits faster than Opus.

About the sample and scores

As of 2026-10-03 15:32:04 UTC, Claude Fable 5 in the Claude family has 106 explicitly attributed community comments in the last 7 days; its community score is 60.5/100. Available category scores include General text 49.0/100 (n=41); Coding 64.0/100 (n=12); Reasoning 73.0/100 (n=25). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

+12.0vs 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 Fable 5 · Hacker News · 30 days of rolling 7-day experience scores 3040506070 Observed-day mean: 55.6 2026-09-04 · 51.2 · n=61 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 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 · 66.0 · n=7 · 2026-09-26T15:32:04+00:00 – 2026-10-03T15:32:04+00:00 66.0 09-0409-1209-1909-2610-03 Claude Fable 5 · Hacker News · 30 days of rolling 7-day experience scores 3040506070 Observed-day mean: 55.6 2026-09-04 · 51.2 · n=61 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 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 · 66.0 · n=7 · 2026-09-26T15:32:04+00:00 – 2026-10-03T15:32:04+00:00 66.0 09-0409-1209-1909-2610-03
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0366.072026-09-26T15:32:04+00:00 – 2026-10-03T15:32:04+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
2026-09-0451.2612026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:00

Hacker News · 66.0 · 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.

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 Fable 5

Released 2026-06-09 · Back to Claude

Exact-version signals observed 2026-09-21–2026-10-02 · n=210

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
66.7
n=175
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 · 69.0 · 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=17508-1408-2309-0109-1009-1909-2810-03

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 → 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 → 60 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 → 5 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Speed & latency Baseline → currentnot enough datan=0 → 16 Category change– Weight share– Experience contribution– Discussion-mix contribution–
General text Baseline → currentnot enough datan=0 → 75 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?