EmbeddingGemma 2 lands on VLM Run Gateway: one vector space for text, image, video and audio
spillai · x · 2026-10-30
VLM Run added Google's EmbeddingGemma 2 to its Gateway, a multimodal embedding model that maps text, images, documents, video, and audio into a single vector space for cross-modal search.
Key specs:
- 740M parameters, Apache 2.0 open license
- Embedding dimensions selectable per request from 768 down to 128
- Priced at $0.01 per 1M tokens
- A live demo shows vectors from images, audio, video clips, and PDFs clustering semantically in the shared embedding space
Related event: Google Open-Sources EmbeddingGemma 2, a 744M Omni-Modal Embedding Model(13 posts)→
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