Google: Gemini Embedding 2 (batch)
- by google
- 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 the numbers mean
- Context window8,192 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 6,100 words, or 12 pages.
- Max output7,372 tokens
- The longest single reply it can write: about 5,500 words.
- Input price$0.1 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs less than a cent.
- Output priceFree
- What you pay for everything the model writes. Output usually costs more than input. A 500-word answer costs nothing.
- Modalitiestext, image, file, audio, video in, embeddings out
- The kinds of content it accepts and the kinds it produces. A model that takes images in can read a screenshot; one that only puts text out cannot draw.