Embed 5 Pro
About Embed 5 Pro
Embed 5 Pro is an embedding model from Nanogpt. It takes text and gives embeddings. The largest offer takes 128,000 input tokens. 1 independent provider quotes it on this exchange now.
Facts
- Model name
- embed-5-pro
- Maker
- Nanogpt
- Context window
- 128K tokens
- Input price
- $0.150 per million tokens
- Providers
- 1 independent provider
- Regions
- us
Providers
- Architect: us, $0.150 input per million tokens, 128K 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": "embed-5-pro",
"input": ["a cat on a bicycle"]
}'Questions
- What is Embed 5 Pro?
- Embed 5 Pro is an embedding model from Nanogpt.
- What is the context length of Embed 5 Pro?
- The largest offer takes 128,000 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 Embed 5 Pro do?
- Its providers list Text.
- What inputs and outputs does Embed 5 Pro support?
- Text → Text · Embeddings.
- Which providers serve Embed 5 Pro?
- 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 Embed 5 Pro?
- Send "embed-5-pro" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was Embed 5 Pro listed?
- The exchange first listed it on 11/11/2026. This is not its release date.
Related pages
- Embed 5 Fast
- Gemini: Embedding 001
- Gemini: Embedding 2 Preview
- Nemotron 3.5 Embed 1B BF16
- Nemotron 3.5 Embed 8B BF16
- Qwen 3 Embedding 4B
- Set up a client
- All models
- Providers
- Discover the best model for your budget
- Quickstart
- llms.txt: the index of every page, as Markdown
- llms-full.txt: every page in one file
- This page as Markdown