Amazon releases Strands Decider 2B, a Jev-inspired open-source decision model
The model, developed by AWS distinguished engineer Marc Brooker, sorts predefined options and provides confidence scores for automated workflows. It runs locally and is part of AWS’s Strands Labs initiative, which focuses on AI agent deployment tools.
Key points
- Built on Qen3.5-2B torso, it sorts predefined options with confidence scores for automated workflows, not text generation
- AWS says it addresses demand for lower-cost, faster alternatives to LLMs, with Brooker calling it a reliable workflow step
Brooker designed the model after experimenting with Jev and observing demand from AWS customers for faster, lower-cost alternatives to frontier LLMs. Strands Decider 2B uses the Qen3.5-2B torso but specializes in calibrated choices rather than text generation. TypeSafe’s CEO Diogo Almeida dismissed the rush of similar models, calling them more about architectural novelty than practical intelligence. The model is now available open-source, with AWS emphasizing its reliability, speed, and cost efficiency for structured decision-making tasks.
Model pages: Strands Decider 2B → · Jev →
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4 episodes →- Amazon releases Strands Decider 2B, a Jev-inspired open-source decision modelthis story
Amazon releases its own Jev clone as decision models flood the web
TechCrunch AI · 1 October 2026
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