# Google DeepMind — EmbeddingGemma 2: an open, lightweight multimodal embedding model

- Company: Google DeepMind (deepmind.google)
- Announced: 2026-10-06T16:00:00+00:00
- Category: open-weight-release
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/
- Record: https://forck.live/items/16232-embeddinggemma-2-an-open-lightweight-multimodal-embedding-model
- Subject: Gemini
- Open weights: yes
- Models affected: EmbeddingGemma 2, EmbeddingGemma, Gemma 4
- License: Apache 2.0
- Context window: 8K token context window

Google DeepMind released EmbeddingGemma 2, an open multimodal embedding model with 740 million parameters built on the Gemma 4 architecture. It processes text, code, images, video, and audio into a unified embedding space and is released under an Apache 2.0 license. The model achieves state-of-the-art results for sub-1B multimodal embedders on benchmarks such as MTEB Code and MAEB.

## Evidence

Verbatim from https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/:

> Today, we're launching EmbeddingGemma 2, expanding beyond text to unify code, images, video, and audio in a shared embedding space. Built on the Gemma 4 architecture and released under a commercially permissive Apache 2.0 license, EmbeddingGemma 2 has 740 million parameters, making it optimal for on-device inference.

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