PulseAugur
EN
LIVE 19:43:13

Liquid AI releases open-weight models d1-3B and d1-omni-600M

Liquid AI has released two new open-weight models: d1-3B and d1-omni-600M. The d1-3B model is capable of answering queries in 8 milliseconds on an RTX 4090, making it suitable for tasks like routing, classification, and safety checks. AI

IMPACT Provides new open-source options for developers working on routing, classification, and safety-related AI tasks.

RANK_REASON Release of open-weight models from a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Liquid AI releases open-weight models d1-3B and d1-omni-600M

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Release of open-weight models from a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · mohith808 ·

    2 days earlier liquid AI released open weights: d1-3B and d1-omni-600M. the 3B answers in 8 ms on an rtx 4090, per liquid good for routing, classification, safe

    2 days earlier liquid AI released open weights: d1-3B and d1-omni-600M. the 3B answers in 8 ms on an rtx 4090, per liquid good for routing, classification, safety checks, grading agent actions caveat: all numbers are each company's own tests https://www. liquid.ai/blog/d1-open # …