Google / google/gemini-embedding-001

Gemini Embedding - access through LLMTR

A solid default for semantic search, recommendations, and text-only RAG pipelines. It is the practical Gemini starting point when you do not need multimodal embeddings.

Technical specifications

Canonical IDgoogle/gemini-embedding-001
ProviderGoogle
Context window2,048 tokens
OperationsEMBEDDINGS
Modalitiestext, embedding

Pricing

A 6% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
EMBEDDINGSINPUT_TEXTPER_1M_TOKENS$0.150000

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions \
  -H "Authorization: Bearer llmtr-your_key" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemini-embedding-001","messages":[{"role":"user","content":"Hello"}]}'

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