Baseten releases decision models mammoth-1 and elephant-1

Baseten's research team Base Labs has released two decision models, mammoth-1 (27B) and elephant-1 (9B), both fully fine-tuned from Qwen3.5, with model weights made public. According to Baseten Base Labs, mammoth-1 ranks first among 208 models on the Jev Decision Index 0.4 with a score of 71.24, leading the second-place Perplexity Decider v1.2 by 1.8 points; elephant-1 scores 62.65 on that leaderboard. Baseten's engineering blog states that elephant-1 is the highest-ranked 9B decision model, and on the Artificial Analysis Decision Index the two score 65.9 and 65.2 respectively; earlier reports said elephant-1 tied for first on that index with 65 points alongside d1-ultra. Decision models do not generate text; instead they return probability distributions over options, ratings, or yes/no questions, and a confidence threshold can determine whether to accept automatically or escalate to a human. Both models are open-sourced on Hugging Face and available for a one-week free trial on Baseten Model APIs, with zero data retention by default.

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1. Oct 22· 2 reports

   Baseten releases decision models mammoth-1 and elephant-1

   Source:Baseten Base Labs: ModelsResearch