VERIFIEDOct 142026
Is Aplomb 1 (5.3B decision model on Qwen3.5-4B, trained readout head, self-hosted) state of the art?
#110Best current rank: #110 in Decision models, as of Oct 14, 2026.

As of Oct 14, 2026, Aplomb 1 (5.3B decision model on Qwen3.5-4B, trained readout head, self-hosted) is ranked #110 in Decision models (since Oct 14, 2026; sources Decision Index Full; methodology v1.0). Ranked #110 in Decision models.

Computed automaticallyas of Oct 14, 2026methodology v1.0confidence: medium
View as of point-in-time crowns
Why

The ruling, in plain English

Ranked #110 in Decision models.

Calibration

Reliability

Index bins for Aplomb 1 (5.3B decision model on Qwen3.5-4B, trained readout head, self-hosted). Confidence on the horizontal axis, accuracy on the vertical axis.

Median 53.9 ms, same GPU.

$0.0254 per 1,000 decisions.

Receipts

Evidence

Scores come from the latest ingested snapshot
SourceScoreDateTypeReceipt
Decision Index Full
Aplomb 1
43.77 43.3–44.32026-10-14INDEP.snap_decision-index_2026-10-14_release-v3|decision-index-0.3.2
Reign history

Where it sits in the succession

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Crown intervals for this model are still empty.

Honest about the gaps

Where it is not the crown

CategoryThis modelWhy
Decision models#110 in this categoryRanked #110 in Decision models.
Links

Related pages

Is Aplomb 1 (5.3B decision model on Qwen3.5-4B, trained readout head, self-hosted) SOTA?

Best current rank: #110 in Decision models, as of Oct 14, 2026.

What is Aplomb 1 (5.3B decision model on Qwen3.5-4B, trained readout head, self-hosted) best at?

As of Oct 14, 2026, Aplomb 1 (5.3B decision model on Qwen3.5-4B, trained readout head, self-hosted) is ranked #110 in Decision models (since Oct 14, 2026; sources Decision Index Full).

How does Aplomb 1 (5.3B decision model on Qwen3.5-4B, trained readout head, self-hosted) rank in Decision models?

Best current rank: #110 in Decision models, as of Oct 14, 2026.