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Microsoft leans on open weight model from Chinese AI lab to challenge Jev
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The first version of Microsoft-Decision-1 is based on Qwen3.5-9B, but the next will sport homegrown tech, Redmond reassures.
Key facts
- Then there's Surogate Rune and H 2 O.ai's H2O-Lightning-4B, a decision model built on Qwen3.5-4B
- The first version of Microsoft-Decision-1 is based on Qwen3.5-9B, but the next will sport homegrown tech, Redmond reassures
- Input tokens cost $0.042 per million tokens and output tokens are free
- Microsoft's entrant into the race is called Microsoft-Decision-1, which is offered via Microsoft Foundry and, soon, via OpenRouter
Summary
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. One of the selling points of Jev is that decision models don't hallucinate in the way that standard LLMs do. The attention lavished on Jev prompted other companies to declare that they too have decision models to offer, even though machine learning researchers have long been able to create classifier models for probability-based decisions.