Rayline has launched ARC, a tiny AI model designed to pick which model should handle each step of a task and how much it should think.
Users can send a task to ARC and have it automatically assign easy steps to a lighter model and hard ones to a stronger model, for a faster, more cost-efficient experience.
In Rayline's DeepSWE tests, ARC scored 68.7% versus 69.9% for Opus 5.5, while dropping the cost to 7% per task.
In 2015, I built an AI that detects early cancer. Today, we’re introducing ARC by Rayline: the world’s first unified model for routing AI. > 97.5% of Opus 5.5 quality > Up to 1/10th of the cost > Fully open-source It picks the right model and the right amount of thinking for every step of your agent’s work. Try it here and read our technical report below: http://rayline.ai
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Original title: Rayline has launched ARC, a tiny AI model designed to pick which model should handle each step of a task and how much it should think.
