Radar / AI models / mammoth-1 and elephant-1

mammoth-1 and elephant-1: Baseten's open-weight decision models top the Jev Decision Index

Baseten's internal research lab Base Labs released two open-weight decision models — mammoth-1 (27B) and elephant-1 (9B) — post-trained on Qwen3.5 to return calibrated probabilities instead of generated answers. mammoth-1 ranks #1 on the Jev Decision Index; both are on Hugging Face and free to try for a week.

new launchmodels · decisionJEV traction 0.42added 2026-10-22
Open mammoth-1 and elephant-1 →View on the radar

Why it matters

A post-training team turned off-the-shelf Qwen3.5 into the world's top-ranked decision models with 6.21M training examples, showing open models can rival frontier labs on high-stakes structured decisions.

What you could build with it

An indie developer building a support-ticket triage SaaS could use elephant-1 to classify incoming tickets and return a calibrated confidence per routing decision, auto-routing only high-confidence cases and queuing borderline ones for human review — cutting manual triage time while keeping an auditable trail for every decision the system makes.

Does it hold up?

Too early to judge — released October 21, 2026, the benchmark lead is vendor-reported and no independent production deployments or re-tests have surfaced yet.

Built with mammoth-1 and elephant-1

Learn more

official announcement →

First spotted on article: source.

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