Skip to content
TrustList
E2
AI Model

EmbeddingGemma 2

Google's open multimodal embedding model that maps text, images, audio and video into one vector space, under Apache 2.0

Write a review
Get a quoteWrite a Review
Own this listing? Claim it

TrustList summary

EmbeddingGemma 2 is Google's open-weight model for turning content into embeddings. Google released it on 6 October 2026 under Apache 2.0, with weights on Hugging Face and Kaggle. It places code, text, images, audio and video in one shared space, where content of one kind can be matched against another, such as a voice memo against a video clip.

What EmbeddingGemma 2 does

  • Shared embedding space: text, image, audio and video content placed in one space where the vectors can be compared.
  • Size and context: 740 million parameters for the full multimodal model, with a 270 million parameter text core and an 8K token context.
  • Optional encoders: vision (170M) and audio (300M) encoders can be added.
  • Adjustable vectors: output can be shortened from 768 dimensions to 512, 256 or 128 through Matryoshka representation learning.

Customers and markets

It suits on-device and private retrieval, where documents need not leave the device. Google puts the active memory for the text-only weights on a phone at about 191MB.

Key facts

  • Released: 6 October 2026
  • Licence: Apache 2.0
  • Architecture: Gemma 4
  • Enterprise access: Google's Model Garden, described as coming soon

Summary written by TrustList from the business's own published information, Oct 2026.

Benchmarks & AI stats

AI model rankings
BenchmarkOfficialCommunity avg
No benchmark scores yet. Be the first to add one.

“Official” values are editor-approved and feed the ranking. “Community avg” is the mean of member submissions (shown for transparency; it never affects the ranking until an editor approves a value).

Sign in to add a benchmark score for this model.

What the business tells TrustList

Founded
2026 (0 years) evidence sent

Request a demo or quote from EmbeddingGemma 2

Protected by reCAPTCHA - Google Privacy Policy and Terms apply.

By sending, you agree we may share your request and contact details with the provider once you confirm your email.

Reviews

Write the first review of EmbeddingGemma 2

Used it? Your experience helps other buyers decide.

Write a review

Questions & answers

No questions yet. Be the first to ask about EmbeddingGemma 2.

Keep exploring

More on TrustList

Everything here links back to the same verified catalogue. Pick your next stop.