Audience
Data scientists wanting a solution for multilingual retrieval, classification and other advanced AI applications
About Gemini Embedding
Gemini Embedding’s first text model (gemini-embedding-001) is now generally available via the Gemini API and Gemini Enterprise Agent Platform, having held a top spot on the Massive Text Embedding Benchmark Multilingual leaderboard since its experimental launch in March, thanks to superior performance across retrieval, classification, and other embedding tasks compared to both legacy Google and external proprietary models. Exceptionally versatile, it supports over 100 languages with a 2,048‑token input limit and employs the Matryoshka Representation Learning (MRL) technique to let developers choose output dimensions of 3072, 153,6, or 768 for optimal quality, performance, and storage efficiency.
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Pricing
Starting Price:
$0.15 per 1M input tokens
Company Information
Google
Founded: 1998
United States
developers.googleblog.com/en/gemini-embedding-available-gemini-api/
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