Jev Decision Index 0.4
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- 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.
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