Google: gemini-embedding-001
gemini-embedding-001
2K contexto2.0K salidaHerramientas
Lanzado May 20, 2025Actualizado May 20, 2025
The first professional text embedding model in the Google Gemini family. Utilizing Matryoshka Representation Learning (MRL), it allows developers to flexibly adjust output dimensions. It excels in multilingual support (100+ languages) and long-context retrieval, serving as a core component for RAG systems and semantic search.
Modo embedding
Precios
Precio de entrada
$0.11/ 1 M tokens$0.1528% desc.
Precio de salida
$0.11/ 1 M tokens$0.1528% desc.
Ventana de contexto 2K tokensEndpoints compatibles gemini, openaiProveedor Google
Rendimiento
Cargando datos de rendimiento...
Uso y clasificación
Cargando uso...