Qwen3.7 Max | Qwen LLM API Pricing & Performance

Name: Qwen3.7 Max API
Brand: qwen
Price: 2.5 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/qwen3.7-max",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Introduzione al modello

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.

Domande frequenti su Qwen3.7 Max

Quanto costa Qwen3.7 Max via API?+

Prezzi su WaveSpeedAI: $2.50 per milione di token in input e $7.50 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 Qwen3.7 Max?+

Qwen3.7 Max supporta fino a 1000K token di contesto e fino a 66K token di output per richiesta.

Qwen3.7 Max è compatibile con OpenAI?+

Sì. WaveSpeedAI espone Qwen3.7 Max 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 Qwen3.7 Max?+

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 Qwen3.7 Max.

Prezzi

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