Embeddings

Endpoint

POST /v1/embeddings

Request body

Parameter	Type	Required	Description
model	string	Yes	Embedding model ID (e.g. text-embedding-3-small)
input	string or array	Yes	Text to embed (string or array of strings)

Example

curl https://api.cheapestinference.com/v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "The quick brown fox jumps over the lazy dog"
  }'

Python

response = client.embeddings.create(
    model="text-embedding-3-small",
    input="The quick brown fox jumps over the lazy dog"
)
print(response.data[0].embedding[:5])  # first 5 dimensions

Batch embeddings

response = client.embeddings.create(
    model="text-embedding-3-small",
    input=[
        "First document",
        "Second document",
        "Third document"
    ]
)
# response.data[0].embedding, response.data[1].embedding, ...

Response

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [0.0023, -0.0091, 0.0152, ...]
    }
  ],
  "model": "text-embedding-3-small",
  "usage": {
    "prompt_tokens": 9,
    "total_tokens": 9
  }
}

Available embedding models

Model ID	Dimensions
text-embedding-3-small	1536
text-embedding-3-large	3072