Google EmbeddingGemma 2
An open, lightweight multimodal embedding model
Google EmbeddingGemma 2 launched on October 6, 2026 with 318 votes, #15 of 3,183 launches that month and more than 99% of that year's launches.
In plain words
EmbeddingGemma 2 is Google DeepMind's open-source embedding model that converts text, code, images, video, and audio into a shared space for cross-modal search. With 740M parameters, it runs on-device with minimal RAM requirements and is licensed under Apache 2.0. The model achieves significant performance improvements on code tasks and is available free on Hugging Face and Kaggle, designed for privacy-focused applications.
written from the facts on this page · October 2026
From the sources
EmbeddingGemma 2 is Google DeepMind's open embedding model that maps text, code, images, video and audio into one shared space, so you can search across them from a single query. At 740M parameters it runs on-device, needing about 567MB of RAM on a Pixel 11 Pro for the full multimodal model (191MB for text only). Apache 2.0 licensed, with weights on Hugging Face and Kaggle. MTEB Code score rises from 68.76 to 78.68.
Introducing EmbeddingGemma 2, an open multimodal embedding model optimized for privacy-first use cases
Pricing, as stated on its site
Free — EmbeddingGemma 2 is an open-source embedding model released under Apache 2.0 license with weights available on Hugging Face and Kaggle at no cost.
checked October 2026 · prices change
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