Liquid AI open-sources d1-3B and d1-omni-600M decision models
What happened
On 8 October 2026, Liquid AI published two open-weight models in its d1 decision model family on the Hugging Face blog: d1-3B and the experimental d1-omni-600M. According to the report, d1-3B scores 48.57 on Decision Index 0.2.1, the best among models under 10B parameters, and supports text and image input; d1-omni-600M supports text plus image or text plus audio. Both models target on-device decision scenarios, and their weights have been open-sourced. The report covers only the release and benchmark scores, with no follow-up updates or third-party reproductions yet.
Written by AI from the reports · updated 9 d ago
Timeline
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- Hugging Face BlogSelectedMultimodal open d1 decision models for the edge
Today, we release two open decision models in our d1 decision model family : d1-3B and d1-omni-600M (experimental). Best decision model under 10B on the Decision Index 0.2.1: d1-3B scores 48.57, ahead of every 4B and 9B model and of Decider 35B-A3B (47.11). Multimodal: d1-3B supports text and images, while d1-omni-600M supports text and images or text and audio
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