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.

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Eingabe, $/1M $0.002 ⚠

Ausgabe, $/1M —

Kontext 2 048

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Zuletzt geprüft 04.11.2026 12:00:14 UTC

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