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POST
/
embeddings
Submit an embedding request
curl --request POST \
  --url https://openrouter.ai/api/v1/embeddings \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "dimensions": 1536,
  "input": "The quick brown fox jumps over the lazy dog",
  "model": "openai/text-embedding-3-small"
}
'
{
  "data": [
    {
      "embedding": [
        0.0023064255,
        -0.009327292,
        0.015797347
      ],
      "index": 0,
      "object": "embedding"
    }
  ],
  "model": "openai/text-embedding-3-small",
  "object": "list",
  "usage": {
    "prompt_tokens": 8,
    "total_tokens": 8
  }
}

Authorizations

​
Authorization
string
header
required

API key as bearer token in Authorization header

Body

application/json

Embeddings request input

​
input
required

Text, token, or multimodal input(s) to embed

Example:

"The quick brown fox jumps over the lazy dog"

​
model
string
required

The model to use for embeddings

Example:

"openai/text-embedding-3-small"

​
dimensions
integer

The number of dimensions for the output embeddings

Required range: x >= 1
Example:

1536

​
encoding_format
enum<string>

The format of the output embeddings

Available options:
float,
base64
Example:

"float"

​
input_type
string

The type of input (e.g. search_query, search_document)

Example:

"search_query"

​
provider
object | null

Provider routing preferences for the request.

Example:
{ "allow_fallbacks": true }
​
user
string

A unique identifier for the end-user

Example:

"user-1234"

Response

Embedding response

Embeddings response containing embedding vectors

​
data
object[]
required

List of embedding objects

Example:
[
  {
    "embedding": [0.0023064255, -0.009327292, 0.015797347],
    "index": 0,
    "object": "embedding"
  }
]
​
model
string
required

The model used for embeddings

Example:

"openai/text-embedding-3-small"

​
object
enum<string>
required
Available options:
list
​
id
string

Unique identifier for the embeddings response

Example:

"embd-1234567890"

​
usage
object

Token usage statistics

Example:
{ "prompt_tokens": 8, "total_tokens": 8 }