All AI models · LLM benchmarks · Methodology

Google

Gemini Embedding 001

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Model facts

Context window
2K tokens
Maximum output
1 tokens
Cheapest paid input
$0.15 per 1M tokens
Cheapest paid output
free per 1M tokens
Open weights
no
Providers
5

Capabilities and modalities

temperature control, text.

Observed price history

  • 2026-08-24: $0.15 input / free output per 1M tokens

API providers

  • Google — model id gemini-embedding-001; $0.15 input / free output per 1M tokens; provider documentation
  • Merge Gateway — model id google/gemini-embedding-001; $0.15 input / free output per 1M tokens; provider documentation
  • Vertex — model id gemini-embedding-001; $0.15 input / free output per 1M tokens; provider documentation
  • SAP AI Core — model id gemini-embedding; not published input / not published output per 1M tokens; provider documentation
  • Vercel AI Gateway — model id google/gemini-embedding-001; not published input / not published output per 1M tokens; provider documentation