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Amazon Replaces Claude Sonnet 4.6 with Strands Decider for Ticket Labeling, Cutting Costs by 98%

·2026.11.09 09:00

Key point

Amazon engineers swapped Claude Sonnet 4.6 for the Strands Decider E4B model in their internal ticketing system, reducing per-ticket costs from $0.0222 to approximately $0.0005.

Details

  • Amazon replaced Claude Sonnet 4.6 with Strands Decider E4B for internal ticket labeling, achieving a 98% cost reduction and 78% latency improvement.
  • The Strands Decider E4B model processes tickets in 897 ms on average compared to 4,215 ms for Sonnet 4.6, using 2,010 total tokens per ticket versus 6,724.
  • Cost per million tickets dropped from approximately $22,200 for Sonnet 4.6 to about $500 for Strands Decider E4B, saving millions in annual token costs.
  • The implementation uses a three-way configuration switch (BEDROCK, DUAL, DECIDER) via AWS AppConfig to allow parallel testing and instant rollback.
  • Strands Decider E4B runs on SageMaker ml.g5.xlarge instances (A10G, 24 GB), utilizing a 4,096-token window with rewritten label criteria to fit context.
  • The decision model approach is suitable for high-volume, closed-choice classification tasks where explanation text is not required and context fits within a few thousand tokens.
amazonmodel-servingclaude-sonnet-4.6cost-optimizationaws-sagemakerstrands-decider
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