Google: Gemini Embedding 2 (batch)

Google: Gemini Embedding 2 (batch) is an embeddings model from Google, with a 8K-token context window, priced at $0.10 / 1M tokens. Fully Informed benchmarks and compares models like Google: Gemini Embedding 2 (batch) across the whole OpenRouter catalogue.

What is Google: Gemini Embedding 2 (batch)?

Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It supports...

What is the context window of Google: Gemini Embedding 2 (batch)?

Google: Gemini Embedding 2 (batch) supports a 8K-token context window.

How much does Google: Gemini Embedding 2 (batch) cost?

Google: Gemini Embedding 2 (batch) is priced at $0.10 / 1M tokens via OpenRouter.

What are alternatives to Google: Gemini Embedding 2 (batch)?

Comparable embeddings models include Google: Gemini Embedding 001, Google: Gemini Embedding 2, BAAI: bge-base-en-v1.5, BAAI: bge-large-en-v1.5.