EmbeddingGemma 300M · deepinfra

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.

Modelo baseTodos los modelos de esta baseTodos los modelos del proveedoral proveedor

Todos los modelos de Google Gemini en todos los proveedores

Entrada, $/1M $0.002 ⚠

Salida, $/1M —

Contexto 2 048

Acepta —

Última comprobación 04.11.2026 12:00:14 UTC

Fuente —