Microsoft releases Microsoft-Decision-1, a Qwen3.5-9B decision-scoring model

Microsoft releases Microsoft-Decision-1, a decision-scoring model post-trained from Alibaba's Qwen3.5-9B that returns calibrated probabilities for fixed answer options instead of generated text.

The model is available through Microsoft Foundry and OpenRouter at $0.042 per million input tokens, with free output, and has a 32,768-token context window.

Microsoft reports 83.5% average accuracy across 36 benchmarks and 85 ms p50 latency, though the results are vendor-run and the latency comparison with competitors is disputed.