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

Pricing

How to Use

1. Write your prompt - describe the task, provide context, and specify the desired output format.
2. 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