Google: Gemini Embedding 001

google/gemini-embedding-001

Created Oct 31, 202520,000 context

$0.15/M input tokens$0/M output tokens

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.

Google: Gemini Embedding 001

google/gemini-embedding-001

Created Oct 31, 202520,000 context

$0.15/M input tokens$0/M output tokens

Sample code and API for Gemini Embedding 001

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible embeddings API that you can call directly, or using the OpenAI SDK.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.