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DevelopingModels

Microsoft releases Decision-1, a Qwen-based decision model priced at $0.042 per million input tokens

Microsoft published Decision-1 on Oct. 9, a model post-trained from Qwen3.5-9B that returns calibrated probabilities for routing, classification and grading. Microsoft says it is the most accurate across a 36-benchmark, nearly 150,000-question comparison and about 2.5 times faster than the runner-up; these are its own figures. Input costs $0.042 per million tokens, output is free, on Foundry and OpenRouter.

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