Google: Gemini Embedding 001
google/gemini-embedding-001
gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. This embedding model has consistently held a top spot on the Massive Text Embedding Benchmark (MTEB) Multilingual leaderboard since the experimental launch in March.
Input
$0.15
/ 1M tokens · Token reference
Output
$0
/ 1M tokens · Token reference
Context window
20K
tokens
Embeddings output · Token reference fields do not establish an output-unit price.
Limits
Context
20,000
tokens
Max output
18,000
90% of the context window
Model facts
Author
Tokenizer
Gemini
Modality
Text -> Embeddings
Created
Oct 31, 2025
Publication status
Hugging Face: unavailableLicense: not publishedParameter count: not published
Modalities
Input · TextOutput · Embeddings