Google unveils Gemma 4 multimodal models with enhanced reasoning

Google has introduced Gemma 4, a new family of open-weight, multimodal language models. The Gemma 4 suite includes models with parameter counts ranging from 2.3B to 31B, featuring both dense and Mixture-of-Experts architectures. These models incorporate enhanced vision and audio encoders, and a novel encoder-free architecture for the 12B model that processes raw audio and image patches. Gemma 4 also introduces a 'thinking mode' for generating reasoning traces and offers improved inference speed, memory efficiency, and long-context capabilities, setting a new performance standard across STEM, multimodal, and long-context benchmarks. AI

IMPACT Establishes a new benchmark for open-weight multimodal models, potentially accelerating research and development in AI.

RANK_REASON The item is a technical report detailing a new model release from Google. [lever_c_demoted from research: ic=1 ai=1.0]

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