Qwen3.7 Max | Qwen LLM API Pricing & Performance

Name: Qwen3.7 Max API
Brand: qwen
Price: 2.5 USD
Availability: InStock

Uso de API

Usa los siguientes ejemplos de código para integrar con nuestra 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/qwen3.7-max",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Introducción del modelo

Qwen: Qwen3.7 Max

Qwen3.7-Max is Alibaba’s flagship model in the Qwen3.7 series, designed for agent-centric text workflows. It is optimized for coding, debugging, office automation, productivity tasks, tool use, and long-horizon autonomous execution.

Why It Looks Great

Flagship Qwen3.7 model built for agentic workloads
Strong fit for coding, debugging, office automation, productivity tasks, and tool use
1M-token context window for long prompts, large documents, codebases, and multi-turn workflows
Up to 64K output tokens for extended reasoning, coding, and structured generation
Designed for long-horizon autonomous execution across complex multi-step tasks
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation
Reasoning controls for tuning latency, quality, and cost per request

Key Features

Context Window: 1,000,000 tokens
Max Input: 934,464 tokens
Max Output: 65,536 tokens
Input: Text
Output: Text
Vision: Not listed
Function Calling: Supported
Structured Outputs: Supported
Thinking Mode: Supported
Image Generation: Not listed
Audio Input: 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	text->text
Context Window	1,000,000 tokens
Max Input	934,464 tokens
Max Output	65,536 tokens
Input	Text
Output	Text
Vision	Not listed
Function Calling	Supported
Structured Outputs	Supported
Thinking Mode	Supported
Primary Use Cases	Coding, office automation, productivity workflows, long-horizon agents, tool use
Release	May 2026

Pricing

Token Type	Cost
Input	$2.50 per million tokens
Output	$7.50 per million tokens
Cache Write	$3.125 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/qwen3.7-max

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/qwen3.7-max",
    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/qwen3.7-max",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: qwen/qwen3.7-max
Provider: alibaba
Best suited for coding agents, office automation, long-context text workflows, multi-step productivity tasks, tool use, and structured output generation

Qwen3.7 Max API

qwen/qwen3.7-max

Qwen3.7-Max is Alibaba’s flagship model in the Qwen3.7 series, built for agent-centric text workflows. It is optimized for coding, debugging, office automation, productivity tasks, tool use, and long-horizon autonomous execution. With a 1M-token context window and up to 64K output tokens, it is well suited for large documents, repository-scale coding, multi-step planning, structured generation, and workflows that require sustained reasoning across hundreds or thousands of steps.

Preguntas frecuentes sobre Qwen3.7 Max

¿Cuánto cuesta Qwen3.7 Max a través de la API?+

Precios en WaveSpeedAI: $2.50 por millón de tokens de entrada y $7.50 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.

¿Cuál es la ventana de contexto de Qwen3.7 Max?+

Qwen3.7 Max admite hasta 1000K tokens de contexto y hasta 66K tokens de salida por solicitud.

¿Es Qwen3.7 Max compatible con OpenAI?+

Sí. WaveSpeedAI expone Qwen3.7 Max a través de un endpoint compatible con OpenAI en https://llm.wavespeed.ai/v1. Apunta el SDK oficial de OpenAI a esta base URL con tu clave API de WaveSpeedAI — sin más cambios de código.

¿Cómo empiezo con Qwen3.7 Max?+

Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Las cuentas nuevas reciben créditos gratuitos para evaluar Qwen3.7 Max antes de pagar por token.

Precios

Probar el modelo