Google: Gemini Embedding 001 (batch)
- by google
- google/gemini-embedding-001:batch
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...
What the numbers mean
- Context window20,000 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 15,000 words, or 30 pages.
- Max output18,000 tokens
- The longest single reply it can write: about 14,000 words.
- Input price$0.075 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 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.