Qwen3.6 Flash API 多少钱?

WaveSpeedAI 定价:输入每百万 token $0.25,输出每百万 token $1.50。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。

Qwen3.6 Flash 的上下文窗口是多大?

Qwen3.6 Flash 单次请求最多支持 1000K 上下文 token,输出最多 66K token。

Qwen3.6 Flash 是否兼容 OpenAI?

WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容 Chat Completions 接口提供 Qwen3.6 Flash。大多数 OpenAI SDK 客户端只需更换 base URL 和 API Key；可选字段取决于具体模型。

如何开始使用 Qwen3.6 Flash?

登录 WaveSpeedAI，在 Access Keys 中创建 API Key，然后使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。模型可用性、能力和价格请以当前模型目录为准。

Qwen3.6 Flash | Qwen Multimodal LLM API Pricing

Name: Qwen3.6 Flash API
Brand: qwen
Price: 0.25 USD
Availability: InStock

qwen/qwen3.6-flash

发布时间: 2026-04-27

1,000,000 context · $0.25/M input tokens · $1.50/M output tokens

Qwen3.6 Flash is a fast, efficient multimodal language model from Alibaba’s Qwen 3.6 series. It supports text, image, and video inputs with a 1M-token context window and up to 64K output tokens. The model is designed for high-throughput chat, lightweight agent workflows, long-document understanding, visual reasoning, summarization, extraction, and cost-sensitive production workloads. It supports thinking mode, function calling, built-in tools, structured outputs, and batch calling.

定价

按量付费

无需预付费用，仅按实际使用量付费

输入

≤ 256K $0.25 / M Tokens

> 256K $1.00 / M Tokens

输出

≤ 256K $1.50 / M Tokens

> 256K $4.00 / M Tokens

Cache Read

≤ 256K $0.03 / M Tokens

> 256K $0.10 / M Tokens

Cache Write$0.31 / M Tokens

试用模型

qwen/qwen3.6-flash

在线

你好！我是乐于助人的 AI 助手。需要我帮你做什么？

准备在本地编码 Agent 中使用这个模型吗？Agent 配置

API 使用

使用以下代码示例接入我们的 API：

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'qwen/qwen3.6-flash',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'qwen/qwen3.6-flash',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

模型介绍

Qwen: Qwen3.6 Flash

Qwen3.6 Flash is a fast, efficient multimodal language model from Alibaba’s Qwen 3.6 series. It supports text, image, and video inputs with a 1M-token context window, making it a strong fit for high-volume chat, lightweight agents, long-document workflows, visual understanding, summarization, and structured extraction.

Why It Looks Great

Fast, cost-efficient Qwen 3.6 model for high-throughput production workloads
Multimodal text, image, and video input support for visual and document understanding
1M-token context window for long prompts, large files, and multi-turn workflows
Up to 64K output tokens for extended answers and structured generation
Thinking mode support for reasoning-heavy requests
Function calling and built-in tool support for agentic workflows
Structured output support for JSON responses and schema-constrained generation
Batch calling support for large-scale offline or asynchronous workloads

Key Features

Context Window: 1,000,000 tokens
Max Input: 934,464 tokens
Max Output: 65,536 tokens
Input: Text, Image, Video
Output: Text
Vision: Supported
Function Calling: Supported
Built-in Tools: Supported
Structured Outputs: Supported
Batch Calling: Supported
Thinking Budget: up to 128K tokens
Supported Parameters: include_reasoning, max_tokens, presence_penalty, reasoning, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_p

Specifications

Specification	Value
Provider	alibaba
Model Type	Chat Completions model
Architecture	text+image+video->text
Context Window	1,000,000 tokens
Max Input	934,464 tokens
Max Output	65,536 tokens
Thinking Budget	128K tokens
Input	Text, Image, Video
Output	Text
Vision	Supported
Function Calling	Supported
Built-in Tools	Supported
Structured Outputs	Supported
Batch Calling	Supported

How to Use

Write your prompt - describe the task, provide context, and specify the desired output format.
Submit - the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: qwen/qwen3.6-flash

API Usage

Python SDK

from openai import OpenAI

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

response = client.chat.completions.create(
    model="qwen/qwen3.6-flash",
    messages=[{"role": "user", "content": "Hello!"}]
)

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

信息

提供商alibaba

类型llm

支持功能

输入

文本图像

输出

文本

上下文1,000,000

最大输出65,536

视觉✓ 支持

函数调用✓ 支持

API 访问指南

Base URLhttps://llm.wavespeed.ai/v1

API 端点chat/completions

Model IDqwen/qwen3.6-flash

定价