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

# Qwen3.6-Flash

> Call Alibaba's Qwen3.6-Flash vision language model via Starrise AI OpenAI-compatible API — fast, agent-friendly multimodal model.

Qwen3.6-Flash is Alibaba's native vision language Flash model, available through Starrise AI via an OpenAI-compatible API. Compared to Qwen3.5-Flash, it delivers significant improvements in agentic coding, math/code reasoning, and spatial intelligence.

## Key Capabilities

* **OpenAI compatible** — Drop-in replacement for the OpenAI SDK with no code changes required
* **1M token context** — Supports large-scale documents and multi-turn conversations, up to 66K output tokens
* **Multimodal input** — Supports text, image, and video input
* **Agentic coding** — Significant improvement on coding agent benchmarks
* **Reasoning mode** — Enable built-in chain-of-thought via the `enable_thinking` parameter
* **Built-in tools** — Supports web search, code interpreter, webpage scraping, and image search via the Responses API

## Quick Example

```bash cURL theme={null}
curl https://dayu.cdn-fly.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.6-flash",
    "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://dayu.cdn-fly.com/v1"
)

response = client.chat.completions.create(
    model="qwen3.6-flash",
    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://dayu.cdn-fly.com/v1"
)

stream = client.chat.completions.create(
    model="qwen3.6-flash",
    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="")
```

```python Reasoning Mode theme={null}
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://dayu.cdn-fly.com/v1"
)

completion = client.chat.completions.create(
    model="qwen3.6-flash",
    messages=[
        {"role": "user", "content": "Solve this math problem: x² + 5x + 6 = 0, find x."}
    ],
    extra_body={"enable_thinking": True},
    stream=True
)

for chunk in completion:
    if chunk.choices and chunk.choices[0].delta:
        delta = chunk.choices[0].delta
        if hasattr(delta, "reasoning_content") and delta.reasoning_content:
            print(delta.reasoning_content, end="", flush=True)
        if delta.content:
            print(delta.content, end="", flush=True)
```

```python Image Input theme={null}
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://dayu.cdn-fly.com/v1"
)

response = client.chat.completions.create(
    model="qwen3.6-flash",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Please describe this image."},
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://example.com/photo.jpg"
                        # Or base64: "url": "data:image/png;base64,iVBORw0KGgo..."
                    }
                }
            ]
        }
    ],
    max_completion_tokens=300
)

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

```python Video Input theme={null}
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://dayu.cdn-fly.com/v1"
)

response = client.chat.completions.create(
    model="qwen3.6-flash",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Please summarize the content of this video."},
                {
                    "type": "video_url",
                    "video_url": {
                        "url": "https://example.com/sample.mp4"
                        # Or base64: "url": "data:video/mp4;base64,AAAAIGZ0eXBpc29t..."
                    }
                }
            ]
        }
    ],
    max_completion_tokens=300
)

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

```bash cURL (Image) theme={null}
curl https://dayu.cdn-fly.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.6-flash",
    "messages": [
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "Please describe this image."},
          {"type": "image_url", "image_url": {"url": "data:image/png;base64,iVBORw0KGgo..."}}
        ]
      }
    ],
    "max_completion_tokens": 300
  }'
```

> **Note:** Both `image_url` and `video_url` support remote URLs (`https://...`) and base64 data URIs (`data:image/png;base64,...` / `data:video/mp4;base64,...`). Image tokens and video tokens are reflected in `usage.prompt_tokens_details`.

## Parameters

| Parameter | Type | Required | Description |
| - | - | - | - |
| `model` | string | Yes | Must be `qwen3.6-flash` |
| `messages` | array | Yes | Array of `{ role, content }` objects. Supports `image_url` and `video_url` multimodal input |
| `max_completion_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` | array | No | Stop sequences. Must be array format, default `null` |
| `enable_thinking` | boolean | No | Enable reasoning mode via `extra_body`, default `false` |

> **[API Reference](/en/api-reference/model-api/alibaba/qwen3.6-flash)**
>
> View the interactive API Playground for Qwen3.6-Flash.


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