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

# Claude Opus 4.1

> Call Anthropic's Claude Opus 4.1 via OpenAI-compatible interface — the most capable Claude model for complex reasoning and research.

Claude Opus 4.1 is Anthropic's most capable and intelligent model, available through Starrise AI via OpenAI-compatible interface. It delivers top-tier performance on the most demanding tasks, including complex research, advanced coding, mathematical reasoning, and deep analysis.

## Key Capabilities

* **OpenAI-compatible** — Drop-in replacement for the OpenAI SDK, no other code changes needed
* **Best-in-class reasoning** — Highest accuracy on complex multi-step problems
* **Advanced coding** — Expert at large-scale code generation, debugging, and architecture design
* **Long context** — Supports large document processing and multi-turn conversations
* **Streaming** — Real-time token streaming via SSE
* **Research-grade** — Ideal for tasks requiring maximum intelligence and thoroughness

## Quick Example

<CodeGroup>
  ```bash cURL theme={null}
  curl https://ai.alad.com/v1/messages \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "claude-opus-4-1",
      "messages": [
        { "role": "user", "content": "Explain quantum entanglement in simple terms." }
      ]
    }'
  ```

  ```python Python theme={null}
  from openai import OpenAI

  client = OpenAI(
      api_key="YOUR_API_KEY",
      base_url="https://ai.alad.com/v1"
  )

  response = client.chat.completions.create(
      model="claude-opus-4-1",
      messages=[
          {"role": "user", "content": "Explain quantum entanglement in simple terms."}
      ]
  )

  print(response.choices[0].message.content)
  ```

  ```python Streaming theme={null}
  from openai import OpenAI

  client = OpenAI(
      api_key="YOUR_API_KEY",
      base_url="https://ai.alad.com/v1"
  )

  stream = client.chat.completions.create(
      model="claude-opus-4-1",
      messages=[
          {"role": "user", "content": "Write a short poem about the ocean."}
      ],
      stream=True
  )

  for chunk in stream:
      print(chunk.choices[0].delta.content or "", end="")
  ```
</CodeGroup>

## Parameters

| Parameter     | Type           | Required | Description                               |
| ------------- | -------------- | -------- | ----------------------------------------- |
| `model`       | string         | Yes      | Fixed value: `claude-opus-4-1`            |
| `messages`    | array          | Yes      | Array of `{ role, content }` objects      |
| `max_tokens`  | integer        | No       | Maximum number of tokens to generate      |
| `temperature` | float          | No       | `0`–`2`, controls randomness, default `1` |
| `stream`      | boolean        | No       | Enable SSE streaming, default `false`     |
| `top_p`       | float          | No       | Nucleus sampling threshold, default `1`   |
| `stop`        | string / array | No       | Sequences where generation stops          |

<Card title="API Reference" icon="code" href="/en/api-reference/introduction">
  View the interactive API Playground for Claude Opus 4.1.
</Card>