Baseten releases joey-1 for decisions instead of prose
The new model returns a label and confidence score for workloads such as routing requests. Baseten offers it through its API and as open weights.
Baseten announced joey-1 on October 29 for software that needs a decision before its next step. Its announcement emphasizes frequent, repeated classifications and cases where each decision adds waiting time to a response. The company positions this as an alternative to asking a language model to write an answer that software must then interpret.
A routing example
The official API example supplies a customer message about a duplicate charge as input. A separate question asks which team should handle it, with billing and technical support defined as options. The request includes an API key. This demonstrates how to describe the choice; it is not a recorded customer result or a refund operation. Applications can use the returned probabilities to select an answer or apply confidence thresholds.
Question formats and limits
The model card distinguishes yes/no checks, named alternatives and ordered scoring levels. For scores, the levels must start with the lowest. Inputs can contain text and images. Its self-hosting instructions require a CUDA GPU and a pinned PyTorch runtime. Requests exceeding the trained length limits are rejected rather than shortened.
MarkTechPost’s coverage also describes the release. That report summarizes the provider’s materials; it does not establish an independent test of this workflow.
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