---
title: "GET /v1/embedding-models"
method: GET
path: "/v1/embedding-models"
---

# GET /v1/embedding-models

`GET /v1/embedding-models`

List all available embedding models with detailed information

## Response `200`

List of available embedding models

- EmbeddingModelsResponse
  - `object` string, required — Always 'list'
  - `data` object[], required — Array of embedding model objects
    - `id` string, required — Unique model identifier
    - `object` string, required — Always 'model'
    - `created` integer, required — Unix timestamp
    - `owned_by` string, required — Model provider
    - `name` string — Human-readable model name
    - `description` string — Model description and use cases
    - `dimensions` integer — Default embedding vector dimensions
    - `supports_dimensions` boolean — Whether model supports dimension reduction
    - `max_tokens` integer — Maximum input tokens supported
    - `pricing` object
      - `per_million_tokens` number, required — Cost per million tokens
      - `currency` string, required — Pricing currency

## Other responses

- `400` — Unexpected error

---

[API](https://skmtc.dev/nano-gpt/apis/nanogpt-api.md) · [All operations](https://skmtc.dev/nano-gpt/apis/nanogpt-api/llms.txt) · [OpenAPI document](https://skmtc-service-production.skmtc.workers.dev/v1/apis/nano-gpt/nanogpt-api/revisions/584e96d146b0/schema)