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Baseten released joey-1, an open 2-billion-parameter model that delivers decisions for $0.01 per million tokens

Prepared by Sintelligent with the help of SI. Published in SI: . Updated: .

An open 2-billion-parameter model takes on fast decisions such as routing tickets and filtering spam.

According to The Next Web, joey-1 is a "decision model": it returns an answer with a probability score rather than text. It is built on Alibaba's Qwen3.5-2B and trained on 6.21 million decision examples; the weights are open under the MIT license on Hugging Face. A typical 2,000-token request is processed in about 20 ms, 2.5 times faster than the larger elephant-1. The model is meant for routing support tickets, filtering spam and blocking harmful prompts; by the outlet's estimate, processing 10 million tickets a month would cost about $50. On the Jev Decision Index it ranks 37th of 230 and first among models of up to 4 billion parameters.

History

Models that answer with a choice or a probability, not text

8 events
  1. Baseten released joey-1, an open 2-billion-parameter model that delivers decisions for $0.01 per million tokensOpen now
  2. OpenAI opens the Decisions API to all customers: the model quickly picks from given options, answering in 100–180 milliseconds instead of 1–3 seconds
  3. Subquadratic releases SubQ Snap, a decision model for agents that processes 100 thousand tokens in about a second
  4. Cloudflare releases open model Clef-omni that picks an answer from audio, video, images and text in one pass
  5. Microsoft releases Decision-1: a model that answers with the probability of a choice rather than text, priced at $0.042 per million input tokens
  6. Liquid AI releases open d1 models that answer without text, in a single pass
  7. OpenAI opens Decisions API: the model answers with a probability, a choice or a score instead of text
  8. Amazon and Cloudflare release open "decision models": fast SIs that choose an option rather than write text
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