Liquid AI releases LFM2.5-VL-3B, a vision-language model for edge devices

LFM2.5-VL-3B for Better and Faster Vision Capabilities for the Edge

Liquid AI open-sourced LFM2.5-VL-3B, a 3B-param vision-language model that runs on local hardware. It skips long reasoning chains and answers directly, targeting real-time and on-device use. Four main upgrades: screen/UI understanding, natural-language object grounding, multi-image reasoning, and stronger function calling. The post includes benchmark comparisons and CPU/GPU inference speed, but doesn't give exact latency numbers.

Why it matters: Liquid AI ships a 3B vision model tuned for local inference with four concrete capability upgrades and benchmarks. H and K both hit, but Liquid AI lacks brand pull in the vision space so R is absent — score lands right at the featured threshold.