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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.

Harga

Bayar sesuai pemakaian

Tanpa biaya di muka, bayar hanya sesuai penggunaan

Input
256K $0.25 / M Tokens
> 256K $1.00 / M Tokens
Output
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

Coba model

qwen/qwen3.6-flash
Online
alibaba
Hai! Saya asisten AI yang siap membantu. Ada yang bisa saya bantu?

Penggunaan API

Gunakan contoh kode berikut untuk integrasi dengan API kami:

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)

Pengenalan Model

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)

Info

Penyediaalibaba
Tipellm

Fitur yang Didukung

Input
TeksGambar
Output
Teks
Konteks1,000,000
Output Maks65,536
Vision✓ Didukung
Function Calling✓ Didukung

Panduan Akses API

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

Input

$0.25 /M

Output

$1.5 /M

Konteks

1000K

Output Maks.

66K

Vision

Didukung

Penggunaan Tool

Didukung

Coba Qwen3.6 Flash di WaveSpeedAI

Akses Qwen3.6 Flash melalui API terpadu kami — kompatibel dengan OpenAI, tanpa cold start, harga transparan.

Pertanyaan Umum tentang Qwen3.6 Flash

Berapa biaya Qwen3.6 Flash melalui API?+

Harga di WaveSpeedAI: $0.25 per juta token input dan $1.50 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.

Berapa context window Qwen3.6 Flash?+

Qwen3.6 Flash mendukung hingga 1000K token konteks dengan hingga 66K token output per permintaan.

Apakah Qwen3.6 Flash kompatibel dengan OpenAI?+

Ya. WaveSpeedAI menyediakan Qwen3.6 Flash melalui endpoint yang kompatibel dengan OpenAI di https://llm.wavespeed.ai/v1. Arahkan OpenAI SDK resmi ke base URL ini dengan API key WaveSpeedAI Anda — tanpa perubahan kode lainnya.

Bagaimana memulai dengan Qwen3.6 Flash?+

Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id seperti ditampilkan di atas. Akun baru menerima kredit gratis untuk menguji Qwen3.6 Flash.

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