Microsoft Decision-1 hits 83.5% accuracy at 85 ms

Microsoft's Decision-1 enters a space that includes models from OpenAI, Cloudflare, and Jev. According to Microsoft, Decision-1 handles classifications, evaluations, and routing decisions, and has "the potential" to "guide and control agents through complex environments."

The model is based on Qwen3.5-9B, and Microsoft says it is the most accurate model tested across 36 benchmarks covering nearly 150,000 questions. On speed, Microsoft says Decision-1 is 2.5 times faster than the runner-up, H2O-Lightning-4B. Cloudflare's open-source Clef models, which are also based on Qwen, were not included in the comparison.

Decision-1 is available through Microsoft Foundry and OpenRouter, with input tokens at $0.042 per million and output tokens free. The comparison Microsoft published puts Decision-1 at the top with 83.5% accuracy and 85 ms latency, ahead of Jev 1.13.0.