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Rayline launches ARC, a small model that routes AI agent steps to other models

1 article1 sourcesince Nov 11Last article

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Rayline has launched ARC, a small AI model that decides which model handles each step of a task and how much reasoning that step gets.

Easy steps go to a lighter model and hard steps go to a stronger one, according to the report.

In Rayline's DeepSWE tests, ARC scored 68.7% against 69.9% for Opus 5.5, while costing 7% per task, the report says. The figures are Rayline's own results as reported by Testing Catalog, which has not independently verified them.

Written by AI from the articles below · updated Nov 11, 3:49 PM ET

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Latest developmentNov 11, 3:28 PM ET
Rayline launches ARC, a tiny model that routes AI agent steps to the right model

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Nov 11
  1. 🚨 AI News | TestingCatalogX
    Rayline launches ARC, a tiny model that routes AI agent steps to the right model

    AIRayline has launched ARC, a small AI model that picks which model handles each step of a task and how much it should think. In Rayline's DeepSWE tests, ARC scored 68.7% against 69.9% for Opus 5.5 while cutting cost to 7% per task. Users can send a task to ARC, which assigns easy steps to a lighter model and hard ones to a stronger model.

    Video from @testingcatalog's post

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