Microsoft Skipped OpenAI’s Decision Model and Built Its Own on Alibaba’s Qwen
Microsoft says the model is 2.5 times faster than H2O-Lightning-4B and 2.8 times faster than Jev, with 83.5% accuracy on 36 benchmarks.
- On Friday, Microsoft launched Microsoft-Decision-1, a purpose-built model for structured decision-making hosted on Microsoft Foundry using Alibaba Cloud's Qwen3.5-9B architecture.
- Microsoft's entry follows the rapid rise of decision models, a category pioneered by TypeSafe AI's Jev three weeks ago that became the fastest-adopted model on Vercel this year.
- Performance metrics show the model is 2.5 times faster than H2O-Lightning-4B and 200 times cheaper than OpenAI's GPT-6 Sol, while internal tests graded responses with 92.2 percent confidence.
- Available via Microsoft Foundry and OpenRouter at $0.042 per million input tokens, the model will soon be rebased on Microsoft's MAI models and OpenAI technology.
- Microsoft warns the model should not guide consequential decisions like employment or credit, as confidence scores can drift when inputs are misleading, requiring developers to validate calibration on their own data.
15 Articles
15 Articles
Microsoft-Decision-1 runs on Alibaba’s Qwen and costs $0.042 a million
Microsoft has released Microsoft-Decision-1, a small model that picks between fixed answer options instead of writing text. Microsoft built it on Alibaba’s open-weight Qwen3.5-9B and then post-trained it, according to the Foundry model card. Achint Srivastava, a vice president of software engineering in Microsoft’s Office of the CTO, announced the model in a blog post […] This story continues at The Next Web
The Register
BizTocMicrosoft leans on open weight model from Chinese AI lab to challenge Jev
Microsoft has joined the Jev fan club, an accidental group of companies that share a common desire to be recognized for their own decision models. Jev, announced by TypeSafe AI three weeks ago, is a large language model (LLM) tuned to respond to certain types of questions with a limited range of responses, rated by probability. Due to its speed, relative affordability, and response constraints, it's well-suited for a variety of business applicat…
Microsoft introduces Decision-1, an AI model that is optimized for quick decisions. It delivers numerical values instead of free text as output.
InfoWorld
Microsoft separates decision-making from generative AI with a new model
Microsoft has launched Decision-1, an AI model that returns probabilities for predefined answers, allowing software applications to use its outputs directly instead of processing a free-form response from a large language model (LLM). The model targets tasks such as classifying requests, prioritizing incidents, and checking AI-generated responses. Microsoft says it can handle these decisions with lower costs and latency than approaches that rely…
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