---
title: "List available models"
method: GET
path: "/models"
tags: ["Inference"]
---

# List available models

`GET /models`

List the embedding and reranking models hosted by Pinecone. 

You can use hosted models as an integrated part of Pinecone operations or for standalone embedding and reranking. For more details, see [Vector embedding](https://docs.pinecone.io/guides/index-data/indexing-overview#vector-embedding) and [Rerank results](https://docs.pinecone.io/guides/search/rerank-results).

## Query parameters

- `type` string — Filter models by type. Possible values: `embed` or `rerank`.
- `vector_type` string — Filter models by vector type. Possible values: `dense` or `sparse`.

## Headers

- `X-Pinecone-Api-Version` string, required

## Response `200`

The list of available models.

- InferenceModelInfoList — The list of available models.
  - `models` InferenceModelInfo[] — List of available models.
    - `model` string, required — The name of the model.
    - `short_description` string, required — A summary of the model.
    - `type` string, required — The type of model (e.g. 'embed' or 'rerank').
    - `vector_type` string — Whether the embedding model produces 'dense' or 'sparse' embeddings.
    - `default_dimension` integer — The default embedding model dimension (applies to dense embedding models only).
    - `modality` string — The modality of the model (e.g. 'text').
    - `max_sequence_length` integer — The maximum tokens per sequence supported by the model.
    - `max_batch_size` integer — The maximum batch size (number of sequences) supported by the model.
    - `provider_name` string — The name of the provider of the model.
    - `supported_dimensions` integer[] — The list of supported dimensions for the model (applies to dense embedding models only).
    - `supported_metrics` InferenceModelInfoMetric[] — The distance metrics supported by the model for similarity search.
    - `supported_parameters` InferenceModelInfoSupportedParameter[], required — List of parameters supported by the model.
      - `parameter` string, required — The name of the parameter.
      - `type` string, required — The parameter type e.g. 'one_of', 'numeric_range', or 'any'. If the type is 'one_of', then 'allowed_values' will be set, and the value specified must be one of the allowed values. 'one_of' is only compatible with value_type 'string' or 'integer'. If 'numeric_range', then 'min' and 'max' will be set, then the value specified must adhere to the value_type and must fall within the `[min, max]` range (inclusive). If 'any' then any value is allowed, as long as it adheres to the value_type.
      - `value_type` string, required — The type of value the parameter accepts, e.g. 'string', 'integer', 'float', or 'boolean'.
      - `required` boolean, required — Whether the parameter is required (true) or optional (false).
      - `allowed_values` union[] — The allowed parameter values when the type is 'one_of'.
        - union
          - string
          - integer
      - `min` number — The minimum allowed value (inclusive) when the type is 'numeric_range'.
      - `max` number — The maximum allowed value (inclusive) when the type is 'numeric_range'.
      - `default` union — The default value for the parameter when a parameter is optional.
        - string
        - integer
        - number, float
        - boolean

## Other responses

- `401` — Unauthorized. Possible causes: Invalid API key.
- `404` — Model not found.
- `500` — Internal server error.

---

[API](https://skmtc.net/pinecone/apis/pinecone-api.md) · [All operations](https://skmtc.net/pinecone/apis/pinecone-api/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/pinecone/pinecone-api/revisions/35876583485d/schema)