Amazon releases its own Jev clone as decision models flood the web
Amazon Web Services has released Strands Decider 2B, an open-source decision model designed for computer automation tasks. The model is optimized for low latency and cost, providing confidence scores for workflow steps rather than generating text like traditional LLMs.
Why it matters
This represents a shift toward specialized, smaller AI models that are more efficient for agentic workflows than massive, general-purpose LLMs.
Amazon Web Services released an open-source decision model inspired by TypeSafe’s Jev , with AI developers increasingly seeking intelligence that is more suited to computer automation than frontier LLMs.
Amazon’s Strands Decider 2B, released the same week OpenAI announced a similar offering , is a high-speed, low-cost way to sort between pre-decided options and deliver a measure of how confident it is in its choice. The model is fully open-sourced, available now, and small enough to run locally.
Amazon distinguished engineer Marc Brooker came up with the project after seeing Jev and trying to build his own take on such a model. The homebrew project was successful enough—it briefly reached the top spot on the Jevbench ranking for models of its size—that Amazon engineers cleaned it up and released it as an offering from their Strands Labs , an organization developing new tools and protocols for deploying AI agents.
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