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Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4

This story is from 2026-10-06. It is preserved in the archive; the latest stories are on the live feed.

Google DeepMind's EmbeddingGemma 2 maps 5 input types into one 768d space and ships today under Apache 2.0. The post Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4 appeared first on MarkTechPost .

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Timeline · 2 reports

  1. 2026-10-06 18:40 · r/machinelearningnews
    Google released EmbeddingGemma 2: 740M open multimodal embedder (text, code, image, video, audio), Apache 2.0, ~191MB RAM text-only
  2. 2026-10-06 18:36 · MarkTechPost
    Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4

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  1. EmbeddingGemma 2: an open, lightweight multimodal embedding model — Google DeepMind Blog
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  3. Introducing EmbeddingGemma 2: A best-in-class open model for natively multimodal embeddings | Google — r/LocalLLaMA
  4. Google releases Nano Banana 2.1, based on Gemini 3.6 Flash, saying it improves on previous versions "across the board"; pricing is ~50% lower vs. Nano Banana 2 (Matthias Bastian/The Decoder) — Techmeme
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  7. I noticed this happens to nearly all Google models even Nanobana on web now is nerfed — r/GeminiAI
  8. OpenAI deactivated my account for "Cyber Abuse" while I was building a remote ADB support tool. Appeal rejected with no explanation. — r/OpenAI

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