Microsoft 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 applications where open-ended text of uncertain accuracy might be undesirable.

One of the selling points of Jev is that decision models don't hallucinate in the way that standard LLMs do.

But decision models can make errors and their popularity has already prompted researchers to explore how those errors might be magnified.

Nonetheless, they have their uses.

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.

OpenAI said its Decisions API has entered public beta.

Cloudflare chimed in with its Clef model.

Strands trotted out Strands Decider 2B, "a small, open source, decision model." Liquid AI introduced d1.

Perplexity launched its Decisions API.

Snowflake talked up its own decision model.

Then there's Surogate Rune and H2O.ai's H2O-Lightning-4B, a decision model built on Qwen3.5-4B.

All told, more than 100 such models are now vying for attention.