Microsoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model

תקציר מקורי באנגליתMicrosoft has released Microsoft-Decision-1 , a decision model for routing, classification, verification and agent control. Microsoft-Decision-1 is a decision-scoring model that returns a calibrated probability for each fixed answer option instead of generated text. It is post-trained from Alibaba’s Qwen3.5-9B and available now in Microsoft Foundry and OpenRouter . . TL;DR Size: Built on Qwen3.5-9B; exact parameter count not disclosed. 32,768-token context window. Runs on: Hosted API only (Microsoft Foundry, OpenRouter via Azure). No open weights, no quantized variants, hardware not disclosed. Performance: Highest average accuracy in Microsoft’s 36-benchmark comparison, at 85 ms p50 latency. Best: 83.5% average accuracy across 36 benchmarks, ahead of Quyet-1.0-Large at 81.9%. W