阿里云百炼Qwen3.8‑Omni‑Flash模型能力拆解：免费100万Tokens

# 适用于 Bash / Zsh；请先配置目标地域的 DASHSCOPE_API_KEY 环境变量。
# Qwen3.8-Omni-Flash 仅支持文本输出，不设置 audio 参数。
# -N 关闭缓冲，终端将显示 SSE 流式响应（含文本增量和 usage）。
curl -N -X POST "https://ws-ogyz1pi726j242ib.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions" \
  -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-omni-flash",
    "messages": [{"role": "user", "content": "你是谁？"}],
    "modalities": ["text"],
    "stream": true,
    "stream_options": {"include_usage": true}
  }'

# 安装依赖：pip install -U openai
# 请先配置目标地域的 DASHSCOPE_API_KEY 环境变量。
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["DASHSCOPE_API_KEY"],
    base_url="https://ws-ogyz1pi726j242ib.cn-beijing.maas.aliyuncs.com/compatible-mode/v1",
)

completion = client.chat.completions.create(
    model="qwen3.8-omni-flash",
    messages=[{"role": "user", "content": "你是谁？"}],
    # Qwen3.8-Omni-Flash 仅支持文本输出，不设置 audio 参数。
    modalities=["text"],
    stream=True,
    stream_options={"include_usage": True},
)

for chunk in completion:
    if chunk.choices:
        content = chunk.choices[0].delta.content
        if content:
            print(content, end="", flush=True)
    elif chunk.usage:
        print()
        print("Usage:", chunk.usage)
print()

// 安装依赖：npm install openai
// 保存为 demo.mjs，运行：node demo.mjs
// 请先配置目标地域的 DASHSCOPE_API_KEY 环境变量。
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.DASHSCOPE_API_KEY,
  baseURL: "https://ws-ogyz1pi726j242ib.cn-beijing.maas.aliyuncs.com/compatible-mode/v1",
});

const completion = await client.chat.completions.create({
  model: "qwen3.8-omni-flash",
  messages: [{ role: "user", content: "你是谁？" }],
  // Qwen3.8-Omni-Flash 仅支持文本输出，不设置 audio 参数。
  modalities: ["text"],
  stream: true,
  stream_options: { include_usage: true },
});

for await (const chunk of completion) {
  if (chunk.choices?.length) {
    const content = chunk.choices[0].delta.content;
    if (content) process.stdout.write(content);
  } else if (chunk.usage) {
    console.log();
    console.log("Usage:", chunk.usage);
  }
}
console.log();