Claude · Last 7 days
Claude Fable 5.1
0–100 · higher means more positive community experience, not benchmark performance.
Updated 2026-10-02 14:32 UTC · 2026-09-25 – 2026-10-02 UTCRECENT EXPERIENCE
How the Experience Index is changing
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.
Daily readings & sample sizes
| Date | Score | n | Scoring window (UTC) |
|---|---|---|---|
| 2026-10-02 | 71.1 | 30 | 2026-09-25T14:32:03+00:00 – 2026-10-02T14:32:03+00:00 |
| 2026-10-01 | 70.4 | 33 | 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00 |
| 2026-09-30 | 72.5 | 42 | 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00 |
| 2026-09-29 | 71.3 | 46 | 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00 |
| 2026-09-28 | 72.8 | 47 | 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00 |
| 2026-09-27 | 70.7 | 50 | 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00 |
| 2026-09-26 | 68.5 | 55 | 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00 |
| 2026-09-25 | 68.9 | 59 | 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00 |
| 2026-09-24 | 66.6 | 53 | 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00 |
| 2026-09-23 | 64.3 | 52 | 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00 |
| 2026-09-22 | 58.5 | 52 | 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00 |
| 2026-09-21 | 56.3 | 49 | 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00 |
| 2026-09-20 | 53.3 | 50 | 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00 |
| 2026-09-19 | 57.6 | 51 | 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00 |
| 2026-09-18 | 58.5 | 49 | 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00 |
| 2026-09-17 | 67.8 | 72 | 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00 |
| 2026-09-16 | 68.2 | 74 | 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00 |
| 2026-09-15 | 75.9 | 75 | 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00 |
| 2026-09-14 | 74.9 | 85 | 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00 |
| 2026-09-13 | 72.1 | 84 | 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00 |
| 2026-09-12 | 70.4 | 103 | 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00 |
| 2026-09-11 | 63.5 | 109 | 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00 |
| 2026-09-10 | 61.1 | 119 | 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00 |
| 2026-09-09 | 57.3 | 149 | 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00 |
| 2026-09-08 | 57.1 | 150 | 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00 |
| 2026-09-07 | 55.7 | 132 | 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00 |
| 2026-09-06 | 55.3 | 115 | 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00 |
| 2026-09-05 | 52.3 | 89 | 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00 |
| 2026-09-04 | 53.9 | 67 | 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:00 |
| 2026-09-03 | 52.7 | 41 | 2026-08-27T23:00:03+00:00 – 2026-09-03T23:00:03+00:00 |
Reddit · 71.1 · 30 scored comments · Read platform reviews →
ONE MODEL, DIFFERENT COMMUNITIES
Across the communities
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.
What people think
One user, comparing Claude Fable 5.1/Opus 5.5 to Astra, notes it isn't fundamentally different but its first-cut code quality is better. One user said that in a recent project, Claude Fable 5.1 made some significant mistakes.
About the sample and scores
As of 2026-10-02 14:32:03 UTC, Claude Fable 5.1 in the Claude family has 44 explicitly attributed community comments in the last 7 days; its community score is 66.9/100. Available category scores include General text 54.8/100 (n=14); Coding 62.2/100 (n=5); Reasoning 71.7/100 (n=15). Scoring method and sources
Community reviews
Selected comments from the last 7 days. The balance of excerpts does not represent the share of positive reviews.
11 selected excerpts
Community reports about limits cannot establish official allowances.
Comment context
Astra requires multiple turns and fresh refactoring agents to produce good code.
Comment context
Once you add a good harness and some tools (python, websearch, ...) they become almost as capable as the latest top model for a fraction of the cost and can be run locally at decent speed.(for my use case, qwen 3.8 27b was already better than sonnet) I say almost because for some very hard problems i still believe fable 5.1 / opus 5.5 class of models have an edge. But for 99% of usecases where you don't try to solve frontier math problem or rewrite a whole new OS, they are irrelevant compared to newly released open sources models.
Comment context
Or use Fable-5.1 to review, even better. That will be a model with more parameters, meaning it has better knowledge of rarer truths, and it will also have different pre-training and post-training.
Comment context
If Astra is that great, how come its code introduces so many bugs? Give Astra a complicated task on Ultra, and then after give the prompt "review" - you will get about 5 problems. Ask to fix those, then after review again and you'll get another 5. Should I just not bother sending the review prompt and hope for the best, and only ask to fix issues I notice myself?!
No selected comments for this filter in the last 7 days.