AWS open-sources Strands Decider 2B decision model
10/02/2026 — 10/03, 01:50·1 sources·1 reports
Story overview
On October 2, 2026, MarkTechPost reported that AWS's Strands Agents team released Strands Decider 2B, an Apache-2.0 decision model built on Qwen3.5-2B-Base. According to the report, the release is aimed at fast local use in routing, tool selection and guardrails for AI agents.
Instead of generating text, Strands Decider 2B returns choices, yes/no probabilities and scores with calibrated confidence in a single forward pass. The reported performance figures are a 115 ms median latency on an RTX 3090 and a score of 0.723 on the JevBench public set.
The report did not describe the model's training data, any version information beyond this release, or uses outside the scenarios named above. As of this report, the details that can be checked are limited to the open-source license, the base model it is built on, the output format, the latency number and the benchmark score. No further updates or related releases were mentioned.
AI-generated from 1 reports · updated 19 minutes ago
Latest turnAWS's Strands Agents team released Strands Decider 2B, an Apache-2.0 decision model built on Qwen3.5-2B-Base. Rather than generating text, it returns choices, yes/no probabilities and calibrated confidence scores in a single forward pass, with a 115 ms median latency on an RTX 3090 and 0.723 on the JevBench public set. It targets routing, tool selection and guardrails in AI agents.
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AWS's Strands Agents team released Strands Decider 2B, an Apache-2.0 decision model built on Qwen3.5-2B-Base. Rather than generating text, it returns choices, yes/no probabilities and calibrated confidence scores in a single forward pass, with a 115 ms median latency on an RTX 3090 and 0.723 on the JevBench public set. It targets routing, tool selection and guardrails in AI agents.
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