Qwen3.6 Max Preview | Qwen LLM API Pricing & Performance

Name: Qwen3.6 Max Preview API
Brand: qwen
Price: 1.3 USD
Availability: InStock

Utilizzo API

Usa i seguenti esempi di codice per integrare la nostra 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-max-preview",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Introduzione al modello

Qwen: Qwen3.6 Max Preview

Why It Looks Great

Proprietary frontier Qwen model for demanding reasoning and coding workloads
Sparse Mixture-of-Experts architecture with approximately 1T total parameters
Strong fit for agentic coding, tool use, complex reasoning, and instruction-following tasks
262K-token context window for long prompts, repository-scale context, documents, and multi-turn workflows
Up to 64K output tokens for extended reasoning, coding, and structured generation
Thinking mode support for reasoning-heavy requests
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation

Key Features

Architecture: Sparse Mixture-of-Experts
Total Parameters: approximately 1T
Context Window: 262,144 tokens
Max Input: 196,608 tokens
Max Output: 65,536 tokens
Thinking Budget: 128K tokens
Input: Text
Output: Text
Vision: Not listed
Function Calling: Supported
Structured Outputs: Supported
Thinking Mode: Supported
Built-in Tools: Not listed
Batch Calling: Not listed
Audio Input: Not listed
Image Generation: Not listed
Supported Parameters: include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p

Specifications

Specification	Value
Provider	alibaba
Model Type	Chat Completions model
Architecture	Sparse Mixture-of-Experts
Parameters	approximately 1T
Modalities	text->text
Context Window	262,144 tokens
Max Input	196,608 tokens
Max Output	65,536 tokens
Thinking Budget	128K tokens
Input	Text
Output	Text
Vision	Not listed
Function Calling	Supported
Structured Outputs	Supported
Thinking Mode	Supported
Release	April 2026

Pricing

Token Type	Cost
Input	$1.04 per million tokens
Output	$6.24 per million tokens
Cache Write	$1.30 per million tokens

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-max-preview

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-max-preview",
    messages=[{"role": "user", "content": "Hello!"}]
)

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

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "qwen/qwen3.6-max-preview",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: qwen/qwen3.6-max-preview
Provider: alibaba
Best suited for high-end reasoning, agentic coding, tool use, long-context text workflows, and structured output generation

Qwen3.6 Max Preview API

qwen/qwen3.6-max-preview

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse Mixture-of-Experts architecture with approximately 1T total parameters. It is optimized for high-end reasoning, agentic coding, tool use, instruction following, and complex text generation workflows. The model supports a 262K-token context window, up to 64K output tokens, thinking mode, function calling, and structured outputs, making it suitable for demanding production tasks that require stronger reasoning capability over raw throughput.

Domande frequenti su Qwen3.6 Max Preview

Quanto costa Qwen3.6 Max Preview via API?+

Prezzi su WaveSpeedAI: $1.30 per milione di token in input e $7.80 per milione di token in output. Prompt caching e batch processing sono fatturati separatamente e riducono il costo effettivo su carichi lunghi e ripetitivi.

Qual è la context window di Qwen3.6 Max Preview?+

Qwen3.6 Max Preview supporta fino a 262K token di contesto e fino a 66K token di output per richiesta.

Qwen3.6 Max Preview è compatibile con OpenAI?+

Sì. WaveSpeedAI espone Qwen3.6 Max Preview tramite un endpoint compatibile con OpenAI all'indirizzo https://llm.wavespeed.ai/v1. Punta l'SDK ufficiale di OpenAI a questa base URL con la tua API key WaveSpeedAI — senza altre modifiche al codice.

Come si inizia con Qwen3.6 Max Preview?+

Accedi a WaveSpeedAI, crea una API key in Access Keys, poi invia una richiesta a https://llm.wavespeed.ai/v1/chat/completions con il model id mostrato sopra. I nuovi account ricevono crediti gratuiti per testare Qwen3.6 Max Preview.

Prezzi

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