Qwen3.7 Plus

Alibaba Cloud Bailian Qwen3.7 Plus model for balanced performance across coding, reasoning, and multimodal tasks.

Examples on this page use the YoloRouter Cloud endpoint

Self-hosting? Replace https://api.yolorouter.com with your own instance, which defaults to http://localhost:8080.

Overview

Qwen3.7 Plus is an Alibaba Cloud Bailian model from the Qwen3.7 series, offering a balanced blend of performance and cost. It is designed for a wide range of production workloads including coding, reasoning, and multimodal understanding tasks.

Key Specifications

Parameter	Value
Provider	Alibaba Cloud Bailian
Model ID	`qwen3.7-plus`
Input Modalities	Text, Image
Output Modalities	Text
Pricing Type	Usage-based

Capabilities

Vision Understanding - Handles image-aware recognition and understanding tasks
Deep Reasoning - Supports multi-step analysis, planning, and coding workflows
Text Generation - Produces answers, drafts, summaries, and structured content
Agentic Coding - Strengthened for coding agents and development workflows

Pricing

Type	Price
Input	$0.32 / 1M tokens
Output	$1.28 / 1M tokens
Cache Read	$0.032 / 1M tokens
Cache Write	$0.4 / 1M tokens

Usage Example

from openai import OpenAI

client = OpenAI(
    api_key="sk-...",
    base_url="https://api.yolorouter.com/v1",
)

response = client.responses.create(
    model="qwen3.7-plus",
    input="Analyze this requirement and produce an implementation plan.",
)

print(response.output_text)

Best Practices

Use it for a wide range of production coding, reasoning, and multimodal tasks
Include clear context and expected output schema for complex tasks
Use cache-friendly prompt prefixes when repeatedly calling similar workflows