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

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)