Validated the training path
The run used short smoke attempts to establish a working 15.55M-parameter byte model before committing to longer training.
Run postmortem · Published 2026-09-01
A 96% public calibration result became 19% on the hidden exam.
One-hour track · xhigh reasoning · provisional
Claude Fable 5.1 built a near-cap hybrid that combined a trained byte transformer with a broad deterministic solver. The finalized artifact answered 24 of 25 public calibration questions but only 19 of 100 hidden questions, showing both a meaningful gain over the prior Fable 5 run and a severe limit in the visible feedback signal.
One valid autonomous run produced a provisional 19% hidden exact-match score.
1 of 3 required seeds · Hidden exact-match accuracy, not public calibration accuracy.
Fable 5.1 split the hour between synthetic training and direct contextual problem solving.
After short smoke tests, the run trained two substantial checkpoints and retained a compressed artifact of 14,485,395 bytes.
The inference layer added handlers for arithmetic, sequences, mappings, records, schedules, text transformations, and odd-one-out tasks before neural fallback.
The retained candidate was finalized explicitly, and its executable files match the source and stored candidate byte for byte.
The run used short smoke attempts to establish a working 15.55M-parameter byte model before committing to longer training.
Two longer training runs were paired with increasingly broad deterministic inference and repeated candidate packaging.
The selected 14.49 MB artifact finished early after seven candidate submissions; the private exam exposed a 77-point public-to-hidden gap.
The 19% hidden score is twelve points above the earlier Fable 5 seed and came from a valid, reproducibly packaged hybrid.
Solving 96% of the visible set did not distinguish a system that still missed 81% of the hidden questions.
This is one autonomous seed. Two more valid runs are required before treating the result as an official model estimate.
Every archived run selected for this exact model-and-effort row is shown below. The narrative uses aggregate run evidence and final artifact structure; it does not expose hidden questions, answers, or raw private transcripts.
Swipe horizontally to see all run columns.
| Run | Score | Time | Cost at run | Artifact | Candidates | Grade |
|---|---|---|---|---|---|---|
| run-0108 | 19% | 52:45 | $10.55 | 14.49 MB | 7 | Valid |
Autonomous runs are stochastic. Two more valid seeds are required before this can be treated as an official estimate.
The agent made 7 candidate submission actions across the published run set. Selected artifacts averaged 14.49 MB compressed.
The runs averaged 52:45 of wall time. 1 run explicitly finalized before the one-hour limit.
Retained totals: 112 agent messages · 7 candidate actions · 1 published run.
$10.55 per displayed run at current configured rates.
OpenRouter billed $10.55 to the dedicated benchmark key, including a $0.00039 preflight; the run-local token estimate was $7.30. That makes the observed value 1.80 hidden-score points per billed dollar.
At current configured API-equivalent rates, the displayed run cost is $10.55 and value is 1.8 score points per dollar.
Current configured API-equivalent cost / run · pricing snapshot 2026-09-01.
Adjacent rows provide score context without treating small one-seed differences as settled model rankings.
Compare Claude Fable 5.1 with the complete ARI Bench field, including score, current cost, value per dollar, effort, and seed status.
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