Google: gemini-embedding-001
gemini-embedding-001
2K contesto2.0K outputStrumenti
Rilasciato May 20, 2025Aggiornato 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.
Modalità embedding
Prezzi
Prezzo di input
$0.11/ 1 M token$0.1528% di sconto
Prezzo di output
$0.11/ 1 M token$0.1528% di sconto
Finestra di contesto 2K tokenEndpoint compatibili gemini, openaiProvider Google
Performance
Caricamento dati di performance...
Utilizzo e classifica
Caricamento utilizzo...