Text and multimodal embedding models for search and retrieval.
Embedding models on EmpirioLabs convert text and, depending on the model, images or other inputs into vectors for semantic search, clustering, and retrieval-augmented generation. They use the OpenAI-compatible embeddings endpoint and are billed per token.
Text Embedding v4 serves the OpenAI-compatible Embeddings API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 and use the model id text-embedding-v4. Swap the model id for any model above. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/embeddings \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "text-embedding-v4",
"input": "The quick brown fox jumps over the lazy dog."
}'EmpirioLabs lists 3 Einbettungen models, including Text Embedding v4, Tongyi Embedding Vision Flash, Tongyi Embedding Vision Plus. Each model has its own dedicated API page with live pricing, parameters, and a quickstart.
Every Einbettungen model is billed pay as you go, with no monthly minimum. The exact rate card lives on each model's page and always matches what the API charges.
No. Every model here runs in the EmpirioLabs playground, a friendly in-browser interface where you can set the options and see results without writing any code. When you are ready to automate, the same model is available through the API.
Check out our pricing or reach out if you want your own model deployed on our stack.