Liquid AI releases open d1 decision models: d1-3B answers in one forward pass, 8 ms per question on an RTX 4090
Small models that answer structured questions instead of generating text, aimed at devices and the edge.
// Key points
- Two open-weight models: d1-3B, built on LFM2.5-VL-3B, takes text and images; d1-omni-600M takes text with images or audio and is labeled an experimental research release.
- On Decision Index 0.2.1, d1-3B scores 48.57, the best under 10B and above Decider 35B-A3B's 47.11; mean across seven public datasets is 82.9 for d1-3B and 78.4 for d1-omni-600M.
- d1-3B latency per question: 8 ms on an RTX 4090, 30 ms on an Apple M5 Pro and 50 ms on a Jetson Orin Nano.
- It needs transformers 5.14 or later with trust_remote_code; the post doesn't state a license.
Builder's takeYes-or-no calls like moderation, routing or whether to hand off to a human don't need a generative model every time. I'll try d1-3B on PandaClaws' pre-publish compliance checks, but only as an evaluation until the license is clear.
// Background · from #Open models
Full timeline →- Oct 9 LightOn open-sources LightOnOCR-3 in 0.8B, 1B and 4B sizes under Apache 2.0, scoring up to 86.3 on olmOCR-Bench
- Oct 9 NVIDIA fine-tunes Nemotron to gold-level IOI 2026 (535.4/600) and IMO 2026 (30/42) results, releasing weights and training data
- Oct 7 Mistral Large 4 enters public preview: 1T total, 49B active, $1.36 per million input tokens, weights by month end