Google · Embedding model

Gemini Embedding 001

google/gemini-embedding-001

Embedding

Released Oct 31, 2025

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...

Specifications

Input: text
Output: vector per input (float array; base64 on request)
Batch: up to 512 inputs per call
Billing: per input token

Use it

POST /api/v1/embeddings · MCP embed · full reference

curl https://omnirail.org/api/v1/embeddings \
  -H "Authorization: Bearer $OMNIRAIL_KEY" -H "Content-Type: application/json" \
  -d '{"model":"google/gemini-embedding-001","input":["brass lever espresso machine","coffee grinder"]}'