qwen/qwen3.7-max
Fecha de lanzamiento: 2026-05-21
1,000,000 context · $2.50/M input tokens · $7.50/M output tokens
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.
Precios
Pago por uso
Sin costos iniciales, paga solo por lo que uses
Probar el modelo
Uso de API
Usa los siguientes ejemplos de código para integrar con nuestra API:
import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'qwen/qwen3.7-max',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'qwen/qwen3.7-max',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}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
Información
Funcionalidades compatibles
Guía de acceso a la API
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.
Entrada
$2.5 /M
Salida
$7.5 /M
Contexto
1000K
Salida máx.
66K
Uso de herramientas
Compatible
Prueba Qwen3.7 Max en WaveSpeedAI
Accede a Qwen3.7 Max mediante nuestra API unificada — compatible con OpenAI, sin arranques en frío, precios transparentes.
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?+
WaveSpeedAI ofrece Qwen3.7 Max en https://llm.wavespeed.ai/v1 mediante la interfaz Chat Completions compatible con OpenAI. En la mayoría de clientes del SDK de OpenAI basta con cambiar la URL base y la clave API; los campos opcionales dependen del modelo.
¿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. Consulta el catálogo actual para conocer disponibilidad, capacidades y precios.