Qwen3.7 Plus

qwen3.7-plus

Qwen3.7 Plus takes the Qwen3.7 agent-oriented design in a more cost-effective direction. Third-party model cards describe it as supporting text and image input, with stronger vision-language ability and hybrid agent capability for GUI, mobile navigation, and visual-reference tasks. The model is suitable when users need the new Qwen3.7 capability profile without always paying for the Max tier.

Context Window

1M tokens

Maximum Output

64K tokens

Release Date

Jun 2, 2026

Modalities

Qwen3.7 Plus Pricing

Token Tier	Input Price	Output Price	Cache Read	Cache Create 5m	Cache Read 5m
<=256K	$0.2857/M	$1.1429/M	$0.0571/M	$0.3571/M	$0.0286/M
>256K	$0.8571/M	$3.4286/M	$0.1714/M	$1.0714/M	$0.0857/M

Qwen3.7 Plus API Capabilities

Reasoning

Supported

Tool calling

Supported

Temperature parameter

Supported

Attachments

Not supported

Knowledge Base

2025-04-01

Endpoint Protocols

Completions APIMessages APIgemini

Qwen3.7 Plus Model Highlights

Qwen3.7 Plus combines multimodal understanding, agent-level coding and productivity skills, and a one-million-token context for balanced application development.

Multimodal Understanding

The model processes text, images, and video together, enabling visual reasoning over documents, interfaces, and real-world scenes.

Interactive Agent Intelligence

It can interpret screens and visual references while planning interactions, supporting workflows that connect perception with subsequent actions.

Long-Context Productivity

A one-million-token context supports large codebases, extensive documents, and long videos without splitting the source material into many requests.

Qwen3.7 Plus Use Cases

Qwen3.7 Plus is suited to vision-assisted development, GUI-oriented agents, and analysis of long visual documents or videos.

Vision-Assisted Development

Turn screenshots, mockups, or interface recordings into implementation guidance and code for corresponding application components.

GUI Agent Workflows

Read interface states, determine the next interaction, and guide multi-step navigation through websites or mobile applications.

Long Video and Document Review

Inspect lengthy videos and image-rich documents, identify important events or details, and return an organized text summary.

How to Use Qwen3.7 Plus via the TokenHub API

Create API key

import OpenAI from "openai"

const client = new OpenAI({
  apiKey: process.env.TOKENHUB_API_KEY,
  baseURL: "https://us-api.tokenhub.com/v1",
})

const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)

Qwen3.7 Plus Benchmarks

Qwen3.7 Plus

Index score
Artificial Analysis Intelligence IndexArtificial Analysis Intelligence Index summarizes broad model capability across evaluation families.	Artificial Analysis broad capability aggregate	39
Artificial Analysis Coding IndexArtificial Analysis Coding Index summarizes model performance on coding and software engineering tasks.	Artificial Analysis software task aggregate	46.5
Knowledge & Reasoning
GPQAGPQA is a graduate-level science benchmark designed to test expert reasoning.	Advanced science problem solving	90%
HLEHLE is a broad, challenging benchmark for expert-level knowledge and reasoning across many domains.	Broad expert-level exam set	33.4%
Coding & Engineering
SciCodeSciCode evaluates Python programming for scientific computing, including algorithmic implementation from scientific context.	Scientific coding challenges	45.5%
Terminal-Bench HardTerminal-Bench Hard evaluates whether an AI agent can complete difficult tasks in a terminal environment.	Hard terminal task execution	47.0%
Instruction Following & Agent Tasks
IFBenchIFBench measures how reliably a model follows detailed instructions and constraints.	Prompt constraint adherence	78.0%
AA-LCRAA-LCR measures reasoning quality over extended context windows.	Long-context reasoning	65%
τ²-Benchτ²-Bench evaluates conversational agents in realistic workflows with tool and state constraints.	Agent workflow tasks	93.0%

Metrics sourced from Artificial Analysis

Qwen 3.7 Plus FAQ

Qwen 3.7 Plus: capabilities, use cases, limits, and TokenHub guidance.

What problem does Qwen 3.7 Plus address?+

Qwen 3.7 Plus is a Alibaba Qwen model for multimodal understanding and general agent workflows.

When should I choose Qwen 3.7 Plus?+

Best for image and video understanding, agent workflows and document analysis, especially when multimodal input is the priority.

What does Qwen 3.7 Plus do well?+

Key strength: unified multimodal understanding with agent-level tool use and hybrid thinking that can switch between deliberate and direct responses.

What does Qwen 3.7 Plus sacrifice?+

It trades some peak quality for better speed or cost. For maximum answer quality, consider Qwen 3.7 Max.

How do I use Qwen 3.7 Plus in TokenHub?+

Use the exact ID shown by TokenHub; follow your account docs and verify current features.

Ready to use Qwen3.7 Plus?

Use one API key to access Qwen3.7 Plus and more AI models through TokenHub.

Create API key

Qwen3.7 Plus

Qwen3.7 Plus Pricing

Qwen3.7 Plus API Capabilities

Qwen3.7 Plus Model Highlights

Multimodal Understanding

Interactive Agent Intelligence

Long-Context Productivity

Qwen3.7 Plus Use Cases

Vision-Assisted Development

GUI Agent Workflows

Long Video and Document Review

How to Use Qwen3.7 Plus via the TokenHub API

Qwen3.7 Plus Benchmarks

Models Similar to Qwen3.7 Plus

Media and Discussions

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Qwen 3.7 Plus FAQ

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