Gemini Embedding 2 — reviews, specs & pricing

Google's first multimodal embedding model — text, image, video, audio and PDFs in one space.

Summary

Google's Gemini Embedding 2 is a state-of-the-art multimodal embedding model that maps text, images, video, audio, and PDF data into a single, unified vector space. Designed for highly efficient semantic search and retrieval-augmented generation (RAG) tasks, it offers an incredibly cost-effective solution at just $0.20 per million text input tokens. This enables developers to build advanced cross-modal applications without the complexity of managing separate embedding models for different media types.

Sample use case

A global media streaming platform can leverage Gemini Embedding 2 to build a unified search engine for its entire catalog. By embedding video clips, audio tracks, promotional PDFs, and user reviews into the same vector space, users can search using natural language (e.g., 'scary desert scene with dramatic music') and instantly retrieve relevant video segments, corresponding soundtracks, and written production notes simultaneously.

Specifications

  • Provider: google
  • License: closed
  • Input price: $0.2/M tok

Pros

  • True multimodal embedding across five distinct media types
  • Highly competitive pricing at $0.20 per million text tokens
  • Simplifies RAG pipeline architecture for rich media
  • Seamless integration with Google Cloud and Vertex AI tools

Cons

  • Increased vector storage requirements for heavy media formats
  • Higher complexity in preprocessing video and audio inputs
  • Potential latency overhead when embedding larger multi-page PDFs

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Frequently asked questions

What is Gemini Embedding 2?

Google's Gemini Embedding 2 is a state-of-the-art multimodal embedding model that maps text, images, video, audio, and PDF data into a single, unified vector space. Designed for highly efficient semantic search and retrieval-augmented generation (RAG) tasks, it offers an incredibly cost-effective solution at just $0.20 per million text input tokens. This enables developers to build advanced cross-modal applications without the complexity of managing separate embedding models for different media types.

How much does Gemini Embedding 2 cost?

Gemini Embedding 2 costs $0.2 per million input tokens and $0 per million output tokens.

Is Gemini Embedding 2 open source?

Gemini Embedding 2 is released under the closed license.