AWS Strands Decider 2B Opens Decision-Model Race
AWS released Strands Decider 2B, an open-source 1.9B-parameter model that selects among predefined options, scores inputs, and returns calibrated confidence without generating text. It runs locally in roughly 115ms on an RTX 3090 and includes its training data and scripts. [Announcement](https://strandsagents.com/blog/introducing-strands-decider/)
Decision models are becoming a practical control layer for agents, handling cheap, repetitive judgments while larger models focus on reasoning and generation.
- –Pointer-head architecture enables one-pass decisions without autoregressive decoding
- –Local CPU and GPU support makes routing, tool selection, guardrails, and evaluations cheaper to deploy
- –Open weights, training data, and recipes give developers a foundation for customization
- –Its 2B scale targets high-frequency decisions where frontier-model latency and cost are wasteful
- –AWS enters a fast-forming category alongside Jev, but benchmark leadership and operating-cost advantages remain unproven
DISCOVERED
1h ago
2026-10-02
PUBLISHED
1h ago
2026-10-02
RELEVANCE
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guilleflorvs