> ## Documentation Index
> Fetch the complete documentation index at: https://docs.myrouter.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Retrieve Model

Retrieves a model instance, providing basic information about the model. This endpoint is compatible with the OpenAI API.

## Request Headers

<ParamField header="Content-Type" type="string" required={true}>
  Enum: `application/json`
</ParamField>

<ParamField header="Authorization" type="string" required={true}>
  Bearer authentication format: Bearer \{\{API Key}}.
</ParamField>

## Path Parameters

<ParamField path="model" type="string" required={true}>
  The model ID to use for this request.
</ParamField>

## Response

<ResponseField name="id" type="string" required={true}>
  The model ID, referenced in API endpoints.
</ResponseField>

<ResponseField name="created" type="integer" required={true}>
  The Unix timestamp (in seconds) of when the model was created.
</ResponseField>

<ResponseField name="object" type="string" required={true}>
  The object type, always "model".
</ResponseField>

<ResponseField name="input_token_price_per_m" type="integer" required={true}>
  Price per million input tokens.
</ResponseField>

<ResponseField name="output_token_price_per_m" type="integer" required={true}>
  Price per million output tokens.
</ResponseField>

<ResponseField name="title" type="string" required={true}>
  The title of the model.
</ResponseField>

<ResponseField name="description" type="string" required={true}>
  The description of the model.
</ResponseField>

<ResponseField name="context_size" type="integer" required={true}>
  The maximum context size of the model.
</ResponseField>