Microsoft Launches Microsoft-Decision-1: A Post-Trained Qwen3.5-9B Model for Ultra-Low Latency Structured Decision Making

Microsoft has officially launched Microsoft-Decision-1, a model specifically designed for structured decision-making tasks, built upon post-training Alibaba's open-source Qwen3.5-9B. The core breakthrough lies in its ultra-low latency single-inference capability, achieving the highest accuracy in blind tests covering nearly 150,000 samples. Its response speed is 35 times faster than GPT-6 Sol, while passing multiple safety benchmarks to effectively intercept malicious behaviors and maintain high availability.

Cross-verification from multiple sources indicates that the model does not generate text but outputs strictly calibrated probability values, targeting high-frequency simple judgment needs such as intent recognition, content moderation, and agent routing. Compared to similar competitors, its inference speed is 4.5 times faster, with a decision flip rate of only 1.3% under perturbed inputs, demonstrating exceptional stability. Pricing is highly competitive at $0.042 per million input tokens (free output), with significant cost reduction effects already verified internally within Xbox and Copilot.

This release marks a critical evolution from generative reasoning to efficient execution-based decision-making, defining a new category of 'instant action.' Now available on Microsoft Foundry and soon on OpenRouter, it provides developers with a cost-effective solution for structured decisions, promising to significantly optimize the controllability and efficiency of automated processes in software systems.