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

Providers for Gemini Embedding 001

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Gemini Embedding 001

Compare different providers across OpenRouter

Apps using Gemini Embedding 001

Top public apps this month

Recent activity on Gemini Embedding 001

Total usage per day on OpenRouter

Prompt

312M

Completion

Reasoning

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Gemini Embedding 001

Uptime stats for Gemini Embedding 001 across all providers

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.