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Google: gemini-embedding-001:free
gemini-embedding-001:free
2K contexte2.0K sortieembedding
Publié May 20, 2025Mis à jour Jun 18, 2026
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.
Mode embeddingDépréciation May 2028
Tarification
Prix en entrée
$0.00/ 1 M jetons
Prix en sortie
$0.00/ 1 M jetons
Fenêtre de contexte 2K jetonsPoints d'accès compatibles openai, embeddingÉditeur Google
Disponibilité
Performance
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Utilisation et classement
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