Liquid models

Liquid d1 takes a situation described in text and pictures, plus questions of a fixed kind, and answers each with a yes or no, a score or a pick from options, with a probability and never with written text. Use it to route requests, sort items and run policy checks where you want a fast, scored answer to act on. It reads about 65 pages at once.

Liquid d1-ultra is the largest decision model from Liquid AI. You send a situation made of words and pictures with questions of a fixed kind, and for each one you get a yes or no, a score or a pick from a list, with a probability and no written text. It suits moderation, routing, sorting and checks on pictures.

This model accepts both text and images to understand a current situation. It can process up to 65 pages of information and generate up to 58 pages of structured choices. Its primary purpose is to act as a decision-making system, taking a defined state and specific questions to output a clear choice. Because it is built for structured outcomes, it is not suited for tasks requiring open-ended creative generation.

LFM2.5-24B-A2B is a Liquid AI model that thinks before it answers. You send text along with descriptions of your tools, and it thinks first, then either answers or uses a tool. It reads about 128 pages and writes up to 8 pages, so use it for automated helpers that use tools. Liquid recommends giving it document search or web search on questions that rest on facts, so pick a larger model when you have no search to offer.

This model processes text input and generates text responses, capable of handling up to 260 pages of reading material and producing outputs up to 8.1 pages long. It is specifically designed to think through problems before providing an answer, making it suitable for complex tasks that require careful consideration. This approach sets it apart from other models by prioritizing internal reasoning. However, it cannot access real-time information from the internet.

This model takes text input and produces text output, capable of processing up to 120 pages of material at once and generating responses up to 8.1 pages long. It is best suited for complex data extraction and managing automated workflows that require careful thought before responding. What sets it apart is its ability to utilize external tools to achieve its goals, while remaining a compact and efficient option. However, it cannot search the internet independently, and it is not designed for advanced coding projects.