Gemini: Embedding 001
Facts
- Model name
- gemini-embedding-001
- Maker
- Nanogpt
- Context window
- 8,192 tokens
- Input price
- $0.150 per million tokens
- Providers
- 1 independent provider
- Regions
- us
Providers
- Architect: us, $0.150 input per million tokens, 8,192 tokens of context
Request
curl https://router.inference.ai.exchange/v1/embeddings \
-H "Authorization: Bearer $LIQUID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-embedding-001",
"input": ["a cat on a bicycle"]
}'
Questions
- What is Gemini: Embedding 001?
- Gemini: Embedding 001 is a model from Nanogpt.
- What is the context length of Gemini: Embedding 001?
- The largest offer takes 8,192 input tokens. One job can generate up to 1 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
- What can Gemini: Embedding 001 do?
- Its providers list Text.
- What inputs and outputs does Gemini: Embedding 001 support?
- Text → Text · Embeddings.
- Which providers serve Gemini: Embedding 001?
- 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
- How do I call Gemini: Embedding 001?
- Send "gemini-embedding-001" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was Gemini: Embedding 001 listed?
- The exchange first listed it on 10/17/2026. This is not its release date.
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