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Qwen3.6 Max Preview

qwen3.6-max-preview

Preview flagship reasoning model in the Qwen3.6 family. Supports 256K context, up to 64K output tokens, and a 128K thinking budget. Optimized for complex long-context reasoning tasks with function calling and structured outputs.

Authentication

authorization string required

All APIs require authentication via Bearer Token.

Get API Key:

Visit API Key Management Page to get your API Key.

Usage:

Add to request header:

Authorization: Bearer YOUR_API_KEY

Parameters

model string required

Model ID to use for the request

Value: qwen3.6-max-preview


messages array required

Array of message objects representing the conversation history

role string required

Message role

Options: user, assistant, system, developer

content string required

Text content for the message


max_tokens integer

Maximum tokens to generate in the completion

Range: 1 - 65536


temperature number

Sampling temperature to use

Default: 1.0

Range: 0.0 - 2.0


top_p number

Nucleus sampling parameter

Default: 1.0

Range: 0.0 - 1.0


stream boolean

Whether to stream response incrementally

Default: false


functions array

List of functions the model may generate JSON inputs for

name string required

Function name

description string

Description of what the function does

parameters object

Parameters the function accepts, described as a JSON Schema object


function_call string | object

Controls how the model calls functions

Options: none, auto, or {"name": "function_name"}

Default: auto


response_format object

Format that the model must output. Used for structured outputs

type string required

Output format type

Options: text, json_object, json_schema


Response Format

id string

Unique identifier for the completion


object string

Object type, always chat.completion


created integer

Unix timestamp of when the completion was created


model string

The model used for the completion


choices array

Array of completion choices

index integer

The index of this choice in the array

message object

The generated message

role string

The role of the message author

content string

The content of the message

finish_reason string

The reason the model stopped generating tokens

Options: stop, length, function_call, content_filter


usage object

Token usage statistics

prompt_tokens integer

Number of tokens in the prompt

completion_tokens integer

Number of tokens in the completion

total_tokens integer

Total tokens consumed by the request