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

# List Models

> List available Confidential AI models, providers, modalities, context windows, and pricing metadata.

## Endpoints

```bash theme={"system"}
GET https://api.redpill.ai/v1/models
GET https://api.redpill.ai/v1/models/phala
```

Use the live model catalog before hardcoding model IDs. The catalog returns model IDs, context windows, pricing, providers, modalities, and TEE metadata when available.

## Examples

<CodeGroup>
  ```bash All Models theme={"system"}
  curl https://api.redpill.ai/v1/models \
    -H "Authorization: Bearer <API_KEY>"
  ```

  ```bash Phala Models theme={"system"}
  curl https://api.redpill.ai/v1/models/phala \
    -H "Authorization: Bearer <API_KEY>"
  ```

  ```python Python theme={"system"}
  from openai import OpenAI

  client = OpenAI(
      api_key="<API_KEY>",
      base_url="https://api.redpill.ai/v1",
  )

  models = client.models.list()
  for model in models.data:
      print(model.id)
  ```
</CodeGroup>

## Response

```json theme={"system"}
{
  "data": [
    {
      "id": "phala/qwen3.5-27b",
      "name": "Qwen3.5 27B",
      "created": 1677652288,
      "description": "Qwen model running through Phala GPU TEE infrastructure",
      "context_length": 262144,
      "pricing": {
        "prompt": "0.00000030",
        "completion": "0.00000240"
      },
      "providers": ["phala"],
      "metadata": {
        "tee": true,
        "appid": "..."
      },
      "architecture": {
        "modality": "text->text",
        "input_modalities": ["text"],
        "output_modalities": ["text"]
      }
    }
  ]
}
```

## Model Object Fields

| Field                            | Description                                                                       |
| -------------------------------- | --------------------------------------------------------------------------------- |
| `id`                             | Model identifier for API calls                                                    |
| `name`                           | Human-readable model name                                                         |
| `description`                    | Model or provider description                                                     |
| `context_length`                 | Maximum context window                                                            |
| `pricing.prompt`                 | Input token price per token; multiply by 1,000,000 for per-million-token pricing  |
| `pricing.completion`             | Output token price per token; multiply by 1,000,000 for per-million-token pricing |
| `providers`                      | Infrastructure providers such as `phala`, `near-ai`, `tinfoil`, or `chutes`       |
| `metadata.tee`                   | Whether the model is marked as a TEE model                                        |
| `metadata.appid`                 | Present when the model supports the attestation flow                              |
| `architecture.input_modalities`  | Supported input types, such as `text` or `image`                                  |
| `architecture.output_modalities` | Supported output types, such as `text` or `embeddings`                            |

## Find Verifiable TEE Models

Filter for models that expose TEE provider metadata:

```bash theme={"system"}
curl https://api.redpill.ai/v1/models \
  -H "Authorization: Bearer <API_KEY>" | \
  jq '.data[] | select(.metadata.tee == true or any(.providers[]?; test("phala|near-ai|tinfoil|chutes"))) | {id, providers, appid: .metadata.appid}'
```

For production verification, test [Attestation Report](/phala-cloud/confidential-ai/confidential-model/api-reference/attestation) with the exact model ID before relying on it in your application.