核心能力
- OpenAI 兼容 — 可直接替换 OpenAI SDK，无需修改其他代码
- 100 万 Token 上下文 — 支持大规模文档和多轮对话，最多 66K 输出 Token
- 多模态输入 — 支持文本、图片和视频输入
- 智能体编码 — 编码 Agent 基准测试大幅提升
- 推理能力 — 通过
enable_thinking参数启用内置思维链 - 内置工具 — 通过 Responses API 支持联网搜索、代码解释器、网页抓取、图片搜索
快速示例
curl https://www.anyfast.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.6-flash",
"messages": [
{ "role": "user", "content": "用简单的语言解释量子纠缠。" }
]
}'
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
response = client.chat.completions.create(
model="qwen3.6-flash",
messages=[
{"role": "user", "content": "用简单的语言解释量子纠缠。"}
]
)
print(response.choices[0].message.content)
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
stream = client.chat.completions.create(
model="qwen3.6-flash",
messages=[
{"role": "user", "content": "写一首关于大海的短诗。"}
],
stream=True
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="")
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
completion = client.chat.completions.create(
model="qwen3.6-flash",
messages=[
{"role": "user", "content": "解这道数学题：x² + 5x + 6 = 0，求 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)
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
response = client.chat.completions.create(
model="qwen3.6-flash",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "请描述这张图片。"},
{
"type": "image_url",
"image_url": {
"url": "https://example.com/photo.jpg"
# 或 base64: "url": "data:image/png;base64,iVBORw0KGgo..."
}
}
]
}
],
max_completion_tokens=300
)
print(response.choices[0].message.content)
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
response = client.chat.completions.create(
model="qwen3.6-flash",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "请总结这个视频的内容。"},
{
"type": "video_url",
"video_url": {
"url": "https://example.com/sample.mp4"
# 或 base64: "url": "data:video/mp4;base64,AAAAIGZ0eXBpc29t..."
}
}
]
}
],
max_completion_tokens=300
)
print(response.choices[0].message.content)
curl https://www.anyfast.ai/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": "请描述这张图片。"},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,iVBORw0KGgo..."}}
]
}
],
"max_completion_tokens": 300
}'
注意：image_url和video_url同时支持远程 URL (https://...) 和 base64 数据 URI (data:image/png;base64,.../data:video/mp4;base64,...)。图片 tokens 和视频 tokens 会在usage.prompt_tokens_details中体现。
参数说明
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
model | string | 是 | 固定为 qwen3.6-flash |
messages | array | 是 | { role, content } 对象数组。支持 image_url 和 video_url 多模态输入 |
max_completion_tokens | integer | 否 | 最大生成 Token 数 |
temperature | float | 否 | 0–2，控制随机性，默认 1 |
stream | boolean | 否 | 开启 SSE 流式传输，默认 false |
top_p | float | 否 | 核采样阈值，默认 1 |
stop | array | 否 | 停止序列。必须为数组格式，默认 null |
enable_thinking | boolean | 否 | 通过 extra_body 启用推理模式，默认 false |
API 参考
查看 Qwen3.6-Flash 的交互式 API Playground。