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Google: Gemini Embedding 001

gemini/gemini-embedding-001 · rates as of · Benchmarks · Plans · Calculator

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

Cheapest input
$0.15
$/MTok · models.dev
Cheapest output
$0
$/MTok
Context
20K
tokens
Offers
7
3 sources

Offers

Same model, different listings. First-party, router, and aggregator rows stay separate so you can see the spread instead of a single blended number.

SourceProviderInputOutputCache readContext
models.devcheapestgemini-embedding-001Google Vertex AI$0.15$0$02K
models.devgemini-embedding-001Google$0.15$0$0.0152K
models.devgoogle/gemini-embedding-001Merge Gateway$0.15$0$02K
OpenRoutergoogle/gemini-embedding-001OpenRouter$0.15$0$020K
LiteLLMgemini/gemini-embedding-001$0.15$0$0.015
LiteLLMgemini-embedding-001$0.15$0$0.015
LiteLLMvercel_ai_gateway/google/gemini-embedding-001$0.15$0$0.015

Capabilities

  • In: text
  • Out: text
  • Out: embeddings
Knowledge cutoff: 2025-05Released: 2025-05-20Family: gemini

See what you actually spent

tokenstat prices your local sessions at list rates like these, with the cache split kept honest. Free, open source, runs on your machine.

$ curl -fsSL https://tokenstat.ai/install.sh | bash