Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

Liquid AI released LFM2.5-230M, its smallest language model, designed to run locally on smartphones, laptops, robotics, and other edge devices. The company says the 230M-parameter model outperforms larger 800M to 1B-parameter models on selected data extraction benchmarks and is free for individuals and companies under $10M in annual revenue.

The launch reflects a growing shift from brute-force model scaling toward architectural efficiency and practical deployment. If small models can handle useful enterprise tasks locally, companies may reduce cloud costs, latency, and data exposure while enabling more autonomous edge applications.