Liquid AI d1-3B
Open-weight member of Liquid AI’s d1 decision-model family (see the entry for the hosted d1 and d1-omni-600M).
PricePrice not published
Checked10 October 2026
No published training cutoff
At least63events since its release on 7 October 2026
1 historic, 10 major. 3 days of news.
Liquid AI doesn’t publish a training cutoff, so we count from its release date. The real gap is larger.
How to call it
4 ways to use Liquid AI d1-3B.
| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Hugging Face | huggingface.co | ||
| Hugging Face (GGUF) | huggingface.co | ||
| Hugging Face (d1-omni-600M, text+vision or text+audio) | huggingface.co | ||
| Liquid AI Console (hosted d1, $0.04 per 1M input tokens) | console.liquid.ai |
Pricing
Price not published.
No price source linked. Checked 10 October 2026.
Specs
- Input
- Text and images
- Output
- Text
- Context window
- 32,768 tokens
- Max output
- Not published
- Open weights
- Yes
- Licence
- lfm1.0
- Training cutoff
- Not published
- Released
- 7 October 2026
- Status
- Current
- Type
- Language model
What stands out
What its maker marketed at launch, and what people found later, each with its source.
Edge decision model
Returns calibrated typed answers (yes/no, choice, 2-10 level score) in one forward pass with zero output tokens; 8 ms per question on an RTX 4090 and 50 ms on a Jetson Orin Nano (Liquid AI).
Notes
Built on LFM2.5-VL-3B (SigLIP2 NaFlex 400M vision encoder). Decision Index v0.2.1 public split 48.57 (self-reported). The hosted d1 (Oct 5) is a separate API model; its size is not stated.
Not yet checked against an official source: Hosted API model id not verified.