embeddinggemma-300m
EmbeddingGemma is a 300M parameter multilingual open embedding model from Google DeepMind, designed for efficient deployment even on low-resource devices, producing high-quality text vector representations for tasks such as search, classification, clustering, and semantic similarity.
text → embedding · made by Google
$0.002per Mtok in
DeepInfra
Sold by 1 way
| Seller | Lane | Rate |
|---|---|---|
| DeepInfra aggregator | standard | $0.002per Mtok inapi.deepinfra.com · read 2026-08-25 |
About
embeddinggemma-300m — a vectors model from Google, sold by one company from $0.002 per Mtok in.
It takes text and returns vectors, with a context window of 2,048 tokens. The catalogue files it under embedding. Only DeepInfra sells it, at $0.002 per Mtok in.
Every current figure
- Maker
- Register
- model
- Takes
- text
- Returns
- embedding
- Context
- 2,048 tokens
- Licence
- not read
- Sellers
- 1
- Maker's own price
- not read
- Price
- $0.002 per Mtok in — DeepInfra
Known as 1 name
google/embeddinggemma-300m