elephant-1

Headlines · 2

1. 2d
   Baseten releases open-weight joey-1 decision model

   Baseten released joey-1, a 2B-parameter open-weight decision model that returns a label and calibrated probability instead of generating explanatory text. The Next Web reports that the model is built on Qwen3.5-2B, while Baseten Blog says it is available through Baseten Model APIs and with open weights on Hugging Face under the MIT license. Baseten reports 20 ms P50 end-to-end latency for a typical 2,000-token request and pricing of $0.01 per million tokens.

   Baseten Blog · 🔥 0
2. Oct 21
   Baseten releases mammoth-1 and elephant-1 decision models

   Baseten released mammoth-1 and elephant-1, open-weight models from Base Labs that return probability distributions for boolean, multiple-choice, and ordered-score questions instead of generating text. The 27B mammoth-1 and 9B elephant-1 were post-trained from Qwen3.5 models on 6.21 million examples; Baseten reports mammoth-1 first among 208 models on Jev Decision Index 0.4, while Artificial Analysis scored elephant-1 65.2, tying d1-ultra. A r/LocalLLaMA report says elephant-1 uses an MIT license and costs about $8 per million tasks, compared with roughly $31 for d1-ultra, while both models are available through Baseten Model APIs with zero data retention during the reported trial.

   Baseten Blog · 🔥 0

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