---
title: "Liquid AI releases open-weight d1 models that output decisions, not text"
url: https://www.parallelquant.com/posts/liquid-ai-releases-open-weight-d1-models-that-output-decisions-not-text-688e6c
source_name: "MarkTechPost"
source_url: https://www.marktechpost.com/2026/10/07/liquid-ai-releases-open-weight-d1-3b-and-d1-omni-600m-multimodal-decision-models-with-zero-output-tokens/
published: 2026-10-07T18:23:45.000Z
topics: ["open source", "llms"]
publisher: "Parallel Quant"
---

# Liquid AI releases open-weight d1 models that output decisions, not text

*2026-10-07 · Source: [MarkTechPost](https://www.marktechpost.com/2026/10/07/liquid-ai-releases-open-weight-d1-3b-and-d1-omni-600m-multimodal-decision-models-with-zero-output-tokens/)*

Liquid AI released d1-3B (text and images) and d1-omni-600M (text with image or audio). Neither model generates text; each returns calibrated, typed answers in one forward pass with zero output tokens. They target real-time decisions.

**Why it matters:** Skipping autoregressive generation removes the main latency and cost of using LLMs as classifiers or routers. If the calibration holds up, this suits on-device and robotics control loops where token generation is too slow. It is a concrete alternative to the default of prompting a chat model for decisions.

**Topics:** open source, llms

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Read the original: https://www.marktechpost.com/2026/10/07/liquid-ai-releases-open-weight-d1-3b-and-d1-omni-600m-multimodal-decision-models-with-zero-output-tokens/
Canonical: https://www.parallelquant.com/posts/liquid-ai-releases-open-weight-d1-models-that-output-decisions-not-text-688e6c
Published by Parallel Quant — https://www.parallelquant.com