Google releases EmbeddingGemma 2, a 740 million parameter open-weight model under Apache 2.0

Google has released EmbeddingGemma 2, an open-weight multimodal embedding model with 740 million parameters. It ships under an Apache 2.0 license, which means developers can use it commercially. Google DeepMind launched the model on October 6, 2026. It’s designed to run on the hardware already in your pocket or backpack rather than in a distant data center. What EmbeddingGemma 2 actually does An embedding model converts content into a list of numbers, called a vector, so software can measure how related two pieces of content are. EmbeddingGemma 2 places everything into a shared 768-dimensional vector space. It accepts text (including code), images, video, and audio. Because all of those formats share a single map, the model can match a text query to an image, or link any one modality to another. The model’s context window is now 8K tokens. Google says that is four times larger than the window in the original EmbeddingGemma. The numbers under the hood At its core sits a 270M-parameter backbone dedicated to text and code. Optional vision and audio encoders bolt on top, bringing the full package up to 740 million parameters. The model builds on the Gemma 4 architecture. On Pixel devic...