efficient-models

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.

Google has released Gemini 3.1 Flash-Lite, positioning it as the fastest and most cost-efficient model in its Gemini 3 series. The release targets deployment scenarios requiring high-speed inference at reduced computational cost.