OpenRouter has released Microsoft-Decision-1, a model Microsoft says posts the highest accuracy across 36 blind benchmarks of about 150K questions.
Microsoft says it runs 4.5x faster than the runner-up and 35x faster than GPT-6 Sol, with decisions flipping on only 1.3% of perturbed inputs.
The model is post-trained from Qwen3.5-9B, costs $0.042 per million input tokens, has free output and a 32K context window.
Microsoft-Decision-1 is live on OpenRouter.
Microsoft's numbers: highest accuracy across 36 blind benchmarks (~150K questions), 4.5x faster than the runner-up, 35x faster than GPT-6 Sol, and decisions flip on just 1.3% of perturbed inputs. Post-trained from Qwen3.5-9B.
$0.042/M input, output free, 32K context
Introducing Microsoft-Decision-1, our new model for fast decision-making. It delivers top performance on structured decision tasks, outperforming both LLMs and other decision models in latency and quality. We’re already testing it across Microsoft for everything from incident response and quality control to scientific discovery.
Source: OpenRouter · x.comPublished · added here
