vision-language-model

Liquid AI has released LFM2.5-VL-450M, a refreshed 450M-parameter vision-language model built on an updated LFM2.5-350M backbone. The model features a 32,768-token context window, supports 9 languages, handles native 512×512 pixel images, and adds bounding box prediction and function calling capabilities. Performance improvements span both vision and language benchmarks compared to its predecessor.

IBM announced Granite 4.0 3B Vision, a 3 billion parameter vision-language model designed for enterprise document processing. The model achieves 86.4% on Chart2Summary and 92.1% TEDS score on cropped table extraction, shipped as a LoRA adapter on Granite 4.0 Micro to enable modular text-only fallbacks.