---
id: "2026-10-05-liquid-ai-d1-decision-models"
url: "https://postcutoff.com/e/2026-10-05-liquid-ai-d1-decision-models/"
as_of: "2026-10-10T23:43:00+02:00"
date: "2026-10-05"
date_precision: day
category: open-source
importance: 2
confidence: high
status: [Confirmed]
sources: 4
editor: Adam Bicz
human_review: null
version: null
---

As of: 2026-10-10 23:43 CEST.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code). Human editor: Adam Bicz.
Canonical page: https://postcutoff.com/e/2026-10-05-liquid-ai-d1-decision-models/

# Liquid AI joins the decision-model wave

Full title: Liquid AI joins the decision-model wave: d1 API ($0.04/M input) and open-weight d1-3B and d1-omni-600M for edge devices

On Oct 5, 2026 Liquid AI launched d1, a hosted "decision model" that answers typed questions (yes/no, label choice, scale scores) with probabilities instead of generated text, billed at $0.04 per 1M input tokens with no output charge. On Oct 7 it released two open-weight versions for edge hardware, d1-3B (text + vision, 8 ms per question on an RTX 4090) and d1-omni-600M (text with vision or audio). It is one of a string of decision models after TypeSafe's Jev (Cloudflare, Perplexity, OpenAI, Microsoft).

## Key facts
- d1 (Oct 5, hosted): text and images; three question types (boolean, single-label classification, probability-weighted scale scoring); $0.04 per 1M input tokens, no output-token charge; images count 1.5 tokens per 32x32 patch (1,536 tokens for 1024x1024) (Liquid AI)
- Liquid AI claims d1 'matches or beats GPT-6.1 Sol' on four of six real-world applications it tested, at 19x to 200x lower cost than GPT-6.1 Sol and Claude Opus 5.5; 200-300 ms text decisions; 85-97% accuracy on production-line visual defect inspection (company figures)
- d1 hosted access: Liquid AI Console, Vercel AI Gateway, OpenRouter (text only at launch, vision 'coming soon')
- Oct 7 open release: d1-3B (built on LFM2.5-VL-3B with a 400M SigLIP2 NaFlex vision encoder, 32,768-token context) and d1-omni-600M (text+vision or text+audio); Hugging Face repos LiquidAI/d1-3B, LiquidAI/d1-omni-600M plus GGUF and w8a8 builds; license 'lfm1.0' (LFM Open License v1.0)
- d1-3B: 48.57 on the Decision Index v0.2.1 public split, ahead of every model under 10B and above Perplexity's Decider 35B-A3B (47.11); mean 82.9 on seven public text datasets and 74.1 on eleven image datasets (Liquid AI, self-reported)
- d1-3B latency per question: 8 ms on an RTX 4090, 9 ms on AMD MI325X, 16 ms on Jetson AGX Thor, 26 ms on Jetson AGX Orin, 50 ms on Jetson Orin Nano; 384px images in under 18 ms on GPUs; native llama.cpp support on Apple, AMD, Qualcomm and NVIDIA
- d1-omni-600M scores 15.95 on the same Decision Index split (secondary report)

## What happened

Liquid AI, maker of the LFM ("Liquid Foundation Models") family of small models, announced **d1** on Oct 5, 2026. Like TypeSafe's Jev,
d1 does not write text: given a question and a fixed answer format it returns a calibrated answer in one forward pass, and customers pay only
for input tokens ($0.04 per million). It handles yes/no questions, choice among named labels and rubric-style scores, and accepts images.
Liquid AI compared it with GPT-6.1 Sol and Claude Opus 5.5 on six of its own application tests and reported equal or better results on four,
at a small fraction of the cost. These are company figures.

Two days later it released open weights for two small versions meant to run on devices: **d1-3B** (built on LFM2.5-VL-3B) and
**d1-omni-600M**, which also takes audio. Liquid AI reports 8 ms per decision for d1-3B on a consumer RTX 4090 and 50 ms on a Jetson Orin Nano.

## Why it matters

In two weeks most of the AI industry shipped "decision models": TypeSafe's Jev, then Cloudflare's Clef, Perplexity's Decider, Liquid AI's d1,
OpenAI's Decisions API and Microsoft's Decision-1. Liquid AI's versions are the smallest. They bring the format to phones, robots and
factory cameras, where a full LLM call would be too slow or expensive.

## Your AI and this story

- GPT-6 Astra (training cutoff April 2026): 158 days after its cutoff
- Claude Opus 5.5 (training cutoff June 2026): 97 days after its cutoff
- Gemini 3.8 Flash (training cutoff March 2026): 188 days after its cutoff
- Grok 4.7 (training cutoff May 2026): 127 days after its cutoff

## Sources

1. [Liquid AI: Introducing d1, the most capable decision model, now with vision (Oct 5)](https://liquid.ai/blog/d1-decision-model) (liquid.ai, official)
2. [Liquid AI: Open d1, edge decision models for text, vision and audio (Oct 7)](https://liquid.ai/blog/d1-open) (liquid.ai, official)
3. [Hugging Face: LiquidAI/d1-3B](https://huggingface.co/LiquidAI/d1-3B) (huggingface.co, code)
4. [AI Weekly: Liquid AI opens d1-3B and d1-omni-600M decision models](https://aiweekly.co/alerts/liquid-ai-opens-d1-3b-and-d1-omni-600m-decision-models) (aiweekly.co, press)

## Changes

- 2026-10-10 (filed): Created (found via the nocode.mba October release tracker; Liquid AI blog and Hugging Face read directly)

## Related

- 2026-10-09: [Microsoft-Decision-1 decision model](https://postcutoff.com/e/2026-10-09-microsoft-decision-1/index.md)
- 2026-10-06: [OpenAI opens the Decisions API to all developers in public beta](https://postcutoff.com/e/2026-10-06-openai-decisions-api-public-beta/index.md)
- 2026-10-01: [Cloudflare releases Clef and Clef-flash, open-weight multimodal decision models that are Jev-API compatible](https://postcutoff.com/e/2026-10-01-cloudflare-clef-decision-models/index.md)
- 2026-10-01: [Perplexity launches a Decisions API and open-sources pplx-decider-v1-27b, a decision model it says edges Jev (85.71% vs 84.51%)](https://postcutoff.com/e/2026-10-01-perplexity-decisions-api-pplx-decider/index.md)
- 2026-09-15: [TypeSafe AI releases Jev, a 'System One' decision model that returns typed probabilities instead of text](https://postcutoff.com/e/2026-09-15-typesafe-jev-system-one-model/index.md)
- Models: [Liquid AI d1-3B](https://postcutoff.com/m/liquid-d1-3b/) (`liquid-d1-3b`)