Claude Fable 5.1
A large language model in Anthropic's Fable series, offering an extended context window of one million tokens. It is designed for programming assistant scenarios such as Claude Code.
Core Facts
Artificial Analysis gave Argon an intelligence index score of 53, on par with GPT-6 Astra.
Opus 5.5 scored 66 on the Terminal agent benchmark, higher than Sonnet's 55 and Astra's 57.9.
The competitive focus of today's top AI models has shifted from 'can it do it' to 'how elegantly and how well it fits the scenario' — i.e., presentation quality and scenario adaptability rather than pure intelligence level.
Timeline (last 90 days)
In the Monitoring stage, the official statement mentioned "a fix has been deployed" rather than "a workaround has been applied"; the former usually means the fix has entered the production environment and taken effect, while the latter is more often seen with temporary workaround solutions.
In the Identified stage, the official wording was "elevated errors on requests to Claude Fable 5.1," and no specific error codes, scope of impact, or proportion of affected users were given.
Investigating and Identified appearing in the same minute indicates that the monitoring alert and the root-cause localization were completed almost simultaneously, which often suggests the problem is close to the surface configuration or deployment level rather than a complex underlying logic defect.
For teams building applications with Claude Fable 5.1, logs can be traced back based on the official UTC 08:08 to 08:29 window to confirm whether failed requests are concentrated in that interval.
From the deployment of the fix (08:30 UTC Monitoring) to the confirmation of resolution (08:49 UTC Resolved), 19 minutes elapsed, and this monitoring window length is consistent with a conventional recovery observation period.
Claude Fable 5.1 experienced an elevated request error rate on October 25, and the impact window recorded on the official status page was 01:08 to 01:29 Pacific Time (08:08 to 08:29 UTC), roughly 21 minutes in total.
In Val's finance agent evaluation, Argon scored 65.4% and Claude Fable 5.1 scored 58.9%.
At 05:16 UTC the official first public notice was given with the status Investigating, and at 05:24 UTC the status was upgraded to Identified.
Officially, the fix was deployed at 05:41 UTC and the service entered the monitoring phase, and at 05:53 UTC it was formally marked as resolved.
This incident did not disclose the specific distribution of error codes or the proportion of affected requests, nor did it state whether it was related to a particular region or calling method.
40 more timeline events
All Facts (20)
Artificial Analysis gave Argon an intelligence index score of 53, on par with GPT-6 Astra.
80%VerifiedOpus 5.5 scored 66 on the Terminal agent benchmark, higher than Sonnet's 55 and Astra's 57.9.
70%VerifiedThe competitive focus of today's top AI models has shifted from 'can it do it' to 'how elegantly and how well it fits the scenario' — i.e., presentation quality and scenario adaptability rather than pure intelligence level.
65%Partially VerifiedThe core difference between Fable 5.1 and Mythos 5.1 lies in the depth of safety measures, not in the underlying capability level.
75%Partially VerifiedCalculated per thousand repair tasks, Claude Haiku 5.5 costs about $0.70, DeepSeek V4.1 Flash 1017 about $1.35, and MiniMax M3.1 Flash about $4.45 by default and about $0.64 at the low setting.
65%Partially VerifiedIn the legal work test, Argon scored 19.6% and Fable scored 6.7%, giving Argon nearly a threefold advantage.
65%Partially VerifiedGemini 4 Argon reached 51.3% in the workflow automation test, while the second place had only 42.5%.
65%UnverifiedIn an AI travel website landing page frontend design test, the reviewer judged GPT-6 Astra to outperform Fable 5.1.
60%UnverifiedThe name "Claude Fable 5.1" may be the community's designation for a certain Claude variant or internal version.
60%UnverifiedIn actual testing, GPT-6 Astra generated a first-person shooter game prototype featuring container bunkers, fully automatic rifles, and recoil and ballistic determination within half an hour, while the control group Claude Fable 5.1 took close to 5 hours.
60%UnverifiedIn the Terminal Bench 4.0 highest-accuracy test, Fable 5.1 achieved an accuracy of 55.8% at a cost of $19.50, while Astra achieved an accuracy of 56.7% at a cost of $10.35.
60%UnverifiedIn its product description, Anthropic states that Fable 5.1's research capabilities offer an early glimpse into how AI models can contribute to scientific progress.
60%UnverifiedFor teams building applications with Claude Fable 5.1, logs can be traced back based on the official UTC 08:08 to 08:29 window to confirm whether failed requests are concentrated in that interval.
50%UnverifiedInvestigating and Identified appearing in the same minute indicates that the monitoring alert and the root-cause localization were completed almost simultaneously, which often suggests the problem is close to the surface configuration or deployment level rather than a complex underlying logic defect.
50%UnverifiedIn the Identified stage, the official wording was "elevated errors on requests to Claude Fable 5.1," and no specific error codes, scope of impact, or proportion of affected users were given.
50%UnverifiedIn the Monitoring stage, the official statement mentioned "a fix has been deployed" rather than "a workaround has been applied"; the former usually means the fix has entered the production environment and taken effect, while the latter is more often seen with temporary workaround solutions.
50%UnverifiedFrom the deployment of the fix (08:30 UTC Monitoring) to the confirmation of resolution (08:49 UTC Resolved), 19 minutes elapsed, and this monitoring window length is consistent with a conventional recovery observation period.
50%UnverifiedIn Val's finance agent evaluation, Argon scored 65.4% and Claude Fable 5.1 scored 58.9%.
50%UnverifiedThe incident began at 22:00 Pacific Time on October 23 (05:00 UTC on October 24) and ended at 22:35 PT / 05:35 UTC, lasting about 35 minutes in total.
50%UnverifiedThis incident did not disclose the specific distribution of error codes or the proportion of affected requests, nor did it state whether it was related to a particular region or calling method.
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