Microsoft-Decision-1, our model for fast decision-making

Your applications that need to make rapid, structured choices can now do so with improved accuracy and speed.

Microsoft has introduced Microsoft-Decision-1, a new AI model designed for fast decision-making and structured outputs. Unlike general-purpose Large Language Models (LLMs), Decision-1 is purpose-built for tasks such as routing, classification, prioritization, verification, and workflow control. Microsoft claims Decision-1 significantly outperforms both LLMs and existing decision models in terms of latency and quality. In internal benchmarks across 36 tasks and nearly 150,000 questions, the model achieved the highest accuracy and was 4.5 times faster than its closest competitor, Quyet-1.0-Large, and 35 times faster than GPT-6 Sol. This model is available in Microsoft Foundry and will soon be accessible via OpenRouter, aiming to facilitate the integration of decision intelligence into applications and workflows.

The introduction of Microsoft-Decision-1 signals a growing trend towards specialized AI models optimized for specific functions, moving beyond the general capabilities of LLMs. This indicates a market maturation where efficiency and task-specific performance are becoming key differentiators. Decision models like Decision-1 enable software to act on AI outputs directly, streamlining automation and complex workflows.

By offering Decision-1 through Microsoft Foundry and OpenRouter, Microsoft is enabling developers to easily integrate this high-performance decision-making capability into their existing systems. This move could accelerate the adoption of AI-driven automation and intelligent routing across various industries, potentially reducing development time and operational costs for applications requiring structured decision logic.