Baseten Releases joey-1, a 2B Decision Model at $0.01 per 1M Tokens

Baseten's Base Labs released joey-1, a 2B decision model post-trained from Qwen3.5-2B that returns a label and calibrated probability for choice, yes/no and score questions instead of generated text, priced at $0.01 per 1M input tokens with MIT-licensed weights on Hugging Face. Baseten reports 20 ms P50 latency for an average 2,000-token request and a score of 63.30 on the Jev Decision Index 0.4 public split, ranking #37 of 230 models and top under 4B, though it trails its 9B sibling elephant-1 by 8.94 points. It runs on Baseten Model APIs, dedicated deployments (262k context) or self-hosted on 1 CUDA GPU, and is also listed on OpenRouter.