https://developers.googleblog.com/en/gemini-embedding-available-gemini-api/
"...Gemini Embedding supports over 100 languages and has a 2048 maximum input token length.
"It also utilizes the Matryoshka Representation Learning (MRL) technique, which allows developers to scale the output dimensions down from the default 3072. This flexibility enables you to optimize for performance and storage costs to fit your specific needs. For the highest quality results, we recommend using 3072, 1536, or 768 output dimensions.
....
"The Gemini Embedding model is priced at $0.15 per 1M input tokens.
"If you are using the experimental gemini-embedding-exp-03-07, you won’t need to re-embed your contents but it will no longer be supported by the Gemini API on August 14, 2025. Legacy models will also be deprecated in the coming months:
embedding-001 on August 14, 2025 and
text-embedding-004 on January 14, 2026"
https://developers.googleblog.com/en/gemini-embedding-available-gemini-api/
"...Gemini Embedding supports over 100 languages and has a 2048 maximum input token length.
"It also utilizes the Matryoshka Representation Learning (MRL) technique, which allows developers to scale the output dimensions down from the default 3072. This flexibility enables you to optimize for performance and storage costs to fit your specific needs. For the highest quality results, we recommend using 3072, 1536, or 768 output dimensions.
....
"The Gemini Embedding model is priced at $0.15 per 1M input tokens.
"If you are using the experimental gemini-embedding-exp-03-07, you won’t need to re-embed your contents but it will no longer be supported by the Gemini API on August 14, 2025. Legacy models will also be deprecated in the coming months:
embedding-001 on August 14, 2025 and
text-embedding-004 on January 14, 2026"