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 | 41.8 | 6 | 2026-09-25T14:32:03+00:00 – 2026-10-02T14:32:03+00:00 |
| 2026-10-01 | 41.8 | 6 | 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00 |
| 2026-09-30 | 45.5 | 5 | 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00 |
| 2026-09-29 | 49.1 | 6 | 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00 |
| 2026-09-28 | 46.8 | 17 | 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00 |
| 2026-09-27 | 48.2 | 16 | 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00 |
| 2026-09-26 | 48.2 | 16 | 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00 |
| 2026-09-25 | 50.6 | 15 | 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00 |
| 2026-09-24 | 50.6 | 15 | 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00 |
| 2026-09-23 | 50.6 | 15 | 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00 |
| 2026-09-22 | 49.5 | 16 | 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00 |
| 2026-09-21 | — | 4 | 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00 |
| 2026-09-20 | 52.1 | 6 | 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00 |
| 2026-09-19 | 52.1 | 6 | 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00 |
| 2026-09-18 | 52.1 | 6 | 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00 |
| 2026-09-17 | 52.1 | 6 | 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00 |
| 2026-09-16 | 55.7 | 8 | 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00 |
| 2026-09-15 | 59.0 | 5 | 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00 |
| 2026-09-14 | 55.2 | 6 | 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00 |
| 2026-09-13 | — | 3 | 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00 |
| 2026-09-12 | — | 3 | 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00 |
| 2026-09-11 | — | 4 | 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00 |
| 2026-09-10 | 56.0 | 9 | 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00 |
| 2026-09-09 | 39.6 | 15 | 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00 |
| 2026-09-08 | 32.3 | 45 | 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00 |
| 2026-09-07 | 32.9 | 44 | 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00 |
| 2026-09-06 | 32.9 | 44 | 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00 |
| 2026-09-05 | 32.9 | 44 | 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00 |
| 2026-09-04 | 31.5 | 43 | 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:00 |
| 2026-09-03 | 29.3 | 37 | 2026-08-27T23:00:03+00:00 – 2026-09-03T23:00:03+00:00 |
Hacker News · 41.8 · 6 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.
4 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.