Amazon introduces open-source decision model Strands Decider 2B for AI automation

Oct 1, 2026

AI Summary

Amazon Web Services has launched Strands Decider 2B, an open-source decision model designed for AI developers. This model aims to provide a cost-effective and efficient way to make decisions in automated workflows, distinguishing itself from larger language models.

Amazon Web Services (AWS) released Strands Decider 2B, an open-source decision model inspired by TypeSafe’s Jev.
The model is designed for high-speed, low-cost decision-making and can run locally.
Marc Brooker, an Amazon distinguished engineer, developed the model after observing the need for simpler decision tools among AWS customers.
Strands Decider 2B is built on the Qen3.5-2B architecture and focuses on delivering calibrated choices rather than generating text.
The model briefly topped the Jevbench ranking for its size before being refined and released by AWS.
Brooker highlighted the importance of balancing decision-making speed with the model's intelligence and understanding capabilities.
TypeSafe, the creator of Jev, acknowledges the growing interest in decision models but emphasizes the challenges in developing truly intelligent systems.

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Amazon introduces open-source decision model Strands Decider 2B for AI automation

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