Amazon Web Services Releases Strands Decider 2B Decision Model

Amazon Web Services (AWS) has released the Strands Decider 2B, an open-source decision model developed by Strands Labs, during the same week as OpenAI's model announcement. This model is built on the Qwen3.5-2B large language model (LLM) and is designed to function as a decision-making tool for workflow processes, as highlighted by Amazon distinguished engineer Marc Brooker.

The Strands Decider 2B is compact enough to run locally, making it accessible for smaller markets, with development costs ranging from hundreds to thousands of dollars. This release aligns with a growing trend in the AI industry, where decision models are becoming increasingly prevalent, as evidenced by the recent $1 billion Series C funding round for viral AI agent Instinct, which reached a valuation of $10 billion.

Brooker emphasized the model's utility in determining the next steps in workflows, stating, "What originally piqued my interest in this class of models was that they make a perfect decider for a workflow step — ‘what is the next thing for me to do here, based on where I am?’" He also noted the challenge of balancing performance on accuracy and language understanding.

In the context of the AI landscape, Diogo Almeida, CEO and founder of TypeSafe, which developed the original Jev model, expressed skepticism about the current influx of decision models, suggesting that many developers may be underestimating the complexities involved in creating truly intelligent systems. Almeida remarked, "The current batch seems more like ML people wanting to implement a cool architecture than a team deeply dedicated to making intelligence useful."

This release follows the trend of increased investment and development in AI tools, as seen with AMD's recent acquisition of World Labs for $8.2 billion. The Jevbench ranking for decision models is expected to include Strands Decider 2B, further contributing to the competitive landscape of AI decision-making solutions.