AWS Strands Labs Releases Strands Decider 2B: An Open Source Decision Model That Picks Options in About 115 ms
AWS Strands Labs has open-sourced 'Strands Decider 2B,' a compact decision-making model based on Qwen 3.5. Unlike generative models that produce text, this model outputs calibrated probabilities and scores for specific choices in approximately 115 milliseconds on an RTX 3090. By focusing strictly on decision logic, guardrails, and tool selection, the model provides a highly efficient, low-latency solution for developers looking to integrate reliable 'judgment' components into their agentic architectures without the overhead of heavy LLMs.
What this means for you
Integrate Strands Decider 2B into your agent workflows to replace slower, text-heavy LLM calls for classification and routing tasks.
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