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alibaba
qwen/qwen3.6-flash

qwen/qwen3.6-flash

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
alibaba
你好!我是乐于助人的 AI 助手。需要我帮你做什么?

API 使用

使用以下代码示例接入我们的 API:

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)

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

SpecificationValue
Provideralibaba
Model TypeChat Completions model
Architecturetext+image+video->text
Context Window1,000,000 tokens
Max Input934,464 tokens
Max Output65,536 tokens
Thinking Budget128K tokens
InputText, Image, Video
OutputText
VisionSupported
Function CallingSupported
Built-in ToolsSupported
Structured OutputsSupported
Batch CallingSupported

How to Use

  1. Write your prompt - describe the task, provide context, and specify the desired output format.
  2. 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

Qwen3.6 Flash API

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 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.

输入

$0.25 /M

输出

$1.5 /M

上下文

1000K

最大输出

66K

Vision

支持

工具调用

支持

在 WaveSpeedAI 试用 Qwen3.6 Flash

通过我们的统一 API 接入 Qwen3.6 Flash — 兼容 OpenAI、无冷启动、透明计费。

关于 Qwen3.6 Flash 的常见问题

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?+

是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Qwen3.6 Flash。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。

如何开始使用 Qwen3.6 Flash?+

登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Qwen3.6 Flash。

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