# Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size

> Source: <https://the-decoder.com/google-claims-embeddinggemma-2-outperforms-rival-embedding-models-twice-its-size/>
> Published: 2026-10-06 19:47:27+00:00

Google released EmbeddingGemma 2, an open model with 740 million parameters that converts text, images, video, audio, and code into vectors. It runs on-device, needs only about 191 MB of RAM, and outperforms some competing models twice its size, according to Google. Paired with a small open model like Gemma 4, it can run offline RAG apps without sending data to external servers.

The article [Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size](https://the-decoder.com/google-claims-embeddinggemma-2-outperforms-rival-embedding-models-twice-its-size/) appeared first on [The Decoder](https://the-decoder.com).