On 1st October 2026, Amazon Web Services released Strands Decider 2B, an open-source model that picks from fixed answers and scores how sure it is. On a single Nvidia RTX 3090, it returns a decision in a median of about 115 milliseconds.
The Brief
- Amazon Web Services built Strands Decider 2B on the Qwen3.5-2B language model and removed its ability to generate text.
- Strands Decider 2B placed 3rd of 33 models in its size class on JevBench for accuracy and calibration combined.
- Developers can download the weights, training data and training scripts from GitHub and Hugging Face and run everything locally.
- OpenAI announced a similar offering the same week, as bigger AI players follow the design TypeSafe introduced with Jev.
Marc Brooker, a distinguished engineer at Amazon (NASDAQ: AMZN), started the project after TypeSafe launched Jev in September. His homebrew version briefly topped the Jevbench ranking for its size. AWS engineers then cleaned it up and shipped it…
https://sqmagazine.co.uk/amazon-strands-decider-2b-open-source-decision-model/
