# Describe a model

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

:::code-group
```bash curl theme={null}
PINECONE_API_KEY="YOUR_API_KEY"

curl "https://api.pinecone.io/models/llama-text-embed-v2" \
    -H "Api-Key: $PINECONE_API_KEY" \
    -H "X-Pinecone-Api-Version: 2026-04"
```
:::

:::code-group
```json curl theme={null}
{
  "model": "llama-text-embed-v2",
  "short_description": "A high performance dense embedding model optimized for multilingual and cross-lingual text question-answering retrieval with support for long documents (up to 2048 tokens) and dynamic embedding size (Matryoshka Embeddings).",
  "type": "embed",
  "vector_type": "dense",
  "default_dimension": 1024,
  "modality": "text",
  "max_sequence_length": 2048,
  "max_batch_size": 96,
  "provider_name": "NVIDIA",
  "supported_metrics": [
    "Cosine",
    "DotProduct"
  ],
  "supported_dimensions": [
    384,
    512,
    768,
    1024,
    2048
  ],
  "supported_parameters": [
    {
      "parameter": "input_type",
      "required": true,
      "type": "one_of",
      "value_type": "string",
      "allowed_values": [
        "query",
        "passage"
      ]
    },
    {
      "parameter": "truncate",
      "required": false,
      "default": "END",
      "type": "one_of",
      "value_type": "string",
      "allowed_values": [
        "END",
        "NONE",
        "START"
      ]
    },
    {
      "parameter": "dimension",
      "required": false,
      "default": 1024,
      "type": "one_of",
      "value_type": "integer",
      "allowed_values": [
        384,
        512,
        768,
        1024,
        2048
      ]
    }
  ]
}
```
:::

`GET /models/{model_name}`

#### Authorizations

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `Api-Key` | `string` | - |  |

An API Key is required to call Pinecone APIs. Get yours from the [console](https://app.pinecone.io/).

#### Headers

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `X-Pinecone-Api-Version` | `string` | `2026-04` | Required date-based version header |

#### Path Parameters

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `model_name` | `string` | - | The name of the model to look up. |

#### Response

`200` — The model details.

Represents the model configuration including model type, supported parameters, and other model details.

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `model` | `string` | - | The name of the model. Example: multilingual-e5-large |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `short_description` | `string` | - | A summary of the model. Example: multilingual-e5-large |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `type` | `string` | - | The type of model (e.g. 'embed' or 'rerank'). Example: embed |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `vector_type?` | `string` | - | Whether the embedding model produces 'dense' or 'sparse' embeddings. |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `default_dimension?` | `integer` | - | The default embedding model dimension (applies to dense embedding models only). Required range: 1 <= x <= 20000. Example: 1024 |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `modality?` | `string` | - | The modality of the model (e.g. 'text'). Example: text |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `max_sequence_length?` | `integer` | - | The maximum tokens per sequence supported by the model. Required range: 1 <= x. Example: 512 |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `max_batch_size?` | `integer` | - | The maximum batch size (number of sequences) supported by the model. Required range: 1 <= x. Example: 96 |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `provider_name?` | `string` | - | The name of the provider of the model. Example: NVIDIA |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `supported_dimensions?` | `integer[]` | - | The list of supported dimensions for the model (applies to dense embedding models only). |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `supported_metrics?` | `string[]` | - | The distance metrics supported by the model for similarity search. |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `supported_parameters` | `object[]` | - | List of parameters supported by the model. |

:::accordion{title="Show child attributes"}
| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `parameter` | `string` | - | The name of the parameter. Example: input_type |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `type` | `string` | - | 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. Example: one_of |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `value_type` | `string` | - | The type of value the parameter accepts, e.g. 'string', 'integer', 'float', or 'boolean'. Example: string |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `required` | `boolean` | - | Whether the parameter is required (true) or optional (false). Example: true |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `allowed_values?` | `string[]` | - | The allowed parameter values when the type is 'one_of'. |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `min?` | `number` | - | The minimum allowed value (inclusive) when the type is 'numeric_range'. Example: 1 |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `max?` | `number` | - | The maximum allowed value (inclusive) when the type is 'numeric_range'. Example: 1 |

| Prop | Type | Default | Description |
| --- | --- | --- | --- |
| `default?` | `string` | - |  |
:::

## Related pages

- [List available models](./inference-2026-04-list-models.md)
- [List available models](./inference-2025-10-list-models.md)
- [Describe a model](./inference-2025-10-describe-model.md)
- [List available models](./inference-2025-04-list-models.md)
- [Describe a model](./inference-2025-04-describe-model.md)

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