# 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).

```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: 2025-10"
```

```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}`

:::code-group
```bash title="cURL"
curl --request GET \
  --url https://api.pinecone.io/models/{model_name} \
  --header 'Authorization: Bearer <token>'
```

```json title="200"
{
  "model": "multilingual-e5-large",
  "short_description": "multilingual-e5-large",
  "type": "embed",
  "vector_type": "<string>",
  "default_dimension": 1024,
  "modality": "text",
  "max_sequence_length": 512,
  "max_batch_size": 96,
  "provider_name": "NVIDIA",
  "supported_dimensions": [
    1024
  ],
  "supported_metrics": [
    "<string>"
  ],
  "supported_parameters": [
    {
      "parameter": "input_type",
      "type": "one_of",
      "value_type": "string",
      "required": true,
      "allowed_values": [
        null
      ],
      "min": 1,
      "max": 1,
      "default": "END"
    }
  ]
}
```
:::

## Authorizations

- `Authorization` (header, string, required) — Bearer authentication header of the form `Bearer <token>`.

## Path Parameters

- `model_name` (path, string, required) — The name of the model to look up.

## Headers

- `X-Pinecone-Api-Version` (header, string, required) — Required date-based version header

## Response

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

## Related pages

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

# Agent Instructions

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