Does Qwen3.7-Plus support image and video input?

Yes. Qwen3.7-Plus accepts text, image, and video inputs, allowing it to reason over screenshots, charts, documents, and video frames.

How large is the context window for Qwen3.7-Plus?

Qwen3.7-Plus supports a context window of up to 1,000,000 tokens, with approximately 991.8K maximum input tokens and around 65.5K output tokens.

How does Qwen3.7-Plus differ from Qwen3.7-Max?

Qwen3.7-Max is optimized for pure text reasoning and coding, while Qwen3.7-Plus adds multimodal capabilities and is designed for vision-language agent workflows.

Can Qwen3.7-Plus be used for coding and AI agents?

Yes. The model supports function calling, structured outputs, tool use, and GUI understanding, making it well suited for coding assistants and autonomous AI agents.

Is Qwen3.7-Plus compatible with the OpenAI API format?

Yes. Alibaba Cloud exposes Qwen3.7-Plus through DashScope and Model Studio with OpenAI-compatible API endpoints, simplifying integration into existing applications.

What applications is Qwen3.7-Plus best suited for?

Qwen3.7-Plus excels at multimodal AI agents, screenshot analysis, document understanding, visual coding assistance, UI automation, and productivity workflows that combine text and visual inputs.

Affordable Qwen3.7 Plus API | text-to-text

Q: What is Qwen3.7-Plus?

Qwen3.7-Plus is Alibaba's multimodal flagship model that combines advanced text reasoning with native image and video understanding for agentic and productivity workflows.

Playground for Qwen3.7 Plus

Explore Qwen3.7 Plus's Playground — an interactive environment to test models, run queries in real time. Try prompts, adjust parameters, and iterate instantly to accelerate development and validate use cases.

Technical Specifications of Qwen3.7-Plus

Item	Specification
Model Name	Qwen3.7-Plus
Provider	Alibaba Cloud (Qwen Team)
API Model ID	qwen3.7-plus
Model Type	Multimodal agent model
Input Types	Text, Images, Video
Output Types	Text
Context Window	Up to 1,000,000 tokens
Maximum Input Tokens	~991.8K
Maximum Output Tokens	~65.5K
Core Strengths	Vision-language reasoning, coding, GUI interaction, agent workflows
Built-in Features	Function Calling, Structured Outputs, Cache, Web Search, Batch API
API Compatibility	OpenAI-compatible via DashScope / Model Studio

What Is Qwen3.7-Plus?

Qwen3.7-Plus is the balanced multimodal flagship in Alibaba's Qwen 3.7 generation. While Qwen3.7-Max focuses on pure text reasoning and long-horizon coding, Qwen3.7-Plus extends those capabilities with native image and video understanding, allowing it to reason across visual and textual information within a single model.

The model is designed around the idea of a multimodal interactive hybrid agent: it can interpret screenshots, analyze charts, understand interfaces, generate code from visual references, and use tools to complete multi-step tasks. This makes it particularly attractive for AI agents, GUI automation, and productivity workflows where visual context matters.

Main Features of Qwen3.7-Plus

Native multimodal input supporting text, images, and video in a unified reasoning pipeline.
Up to 1M-token context window, enabling large codebase analysis and long-document workflows.
Hybrid GUI + CLI agent capabilities, allowing the model to understand screens and interact with software environments.
Advanced coding and tool use, including function calling, structured outputs, and external tool integration.
Visual understanding for charts, documents, and screenshots, making it useful for business, engineering, and UI tasks.
OpenAI-compatible API endpoint, enabling relatively easy migration from existing LLM infrastructure.

Benchmark Performance of Qwen3.7-Plus

According to public benchmark reporting and third-party evaluation platforms, Qwen3.7-Plus delivers frontier-level multimodal and agentic performance:

Artificial Analysis Intelligence Index: 53.3.
GPQA Diamond: approximately 90.0%.
IFBench: approximately 78.0%.
AA Long Context Reasoning (AA-LCR): approximately 65.0%.
Terminal-Bench Hard: approximately 47.0%, reflecting strong agentic coding capabilities.

Alibaba also reports that Qwen3.7-Plus performs competitively with leading proprietary models on agent and coding benchmarks, with particular strength in multimodal tasks and UI interaction.

Qwen3.7-Plus vs Qwen3.7-Max vs Claude Opus 4.6

Feature	Qwen3.7-Plus	Qwen3.7-Max	Claude Opus 4.6
Input Modalities	Text, Image, Video	Text only	Text, Image
Context Window	Up to 1M tokens	1M tokens	Large context
Vision Understanding	Excellent	Not supported	Strong
Agent / GUI Interaction	Native focus	Limited	Good
Long-Horizon Text Reasoning	Very strong	Best in Qwen family	Excellent
Best Use Case	Multimodal agents and productivity	Coding, math, deep reasoning	Enterprise reasoning and coding

For projects that involve screenshots, UI automation, visual debugging, or multimodal workflows, Qwen3.7-Plus is generally the better choice. For purely text-based reasoning or repository-scale coding, Qwen3.7-Max remains the stronger option.

Limitations

Qwen3.7-Plus is currently released as a preview-stage proprietary model, and some capabilities may evolve before stable release.
Function-calling and certain agent tooling features are still rolling out.
For purely text-only, reasoning-intensive workloads, Qwen3.7-Max may deliver slightly better performance.
As with most large multimodal models, developers should validate performance on their own image and UI datasets before production deployment.

Representative Use Cases

AI agents that combine browser, GUI, and terminal interactions.
Software debugging from screenshots and UI captures.
Document, chart, and dashboard analysis.
Visual coding assistants that generate code from mockups or diagrams.
Enterprise productivity workflows involving mixed text and image inputs.
Multimodal research assistants that combine web search with visual understanding

FAQ

Pricing for Qwen3.7 Plus

Explore competitive pricing for Qwen3.7 Plus, designed to fit various budgets and usage needs. Our flexible plans ensure you only pay for what you use, making it easy to scale as your requirements grow. Discover how Qwen3.7 Plus can enhance your projects while keeping costs manageable.

Model	Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
qwen3.7-plus	Input:$0.32/M Output:$1.28/M	Input:$0.4/M Output:$1.6/M	-20%

Sample code and API for Qwen3.7 Plus

Access comprehensive sample code and API resources for Qwen3.7 Plus to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of Qwen3.7 Plus in your projects.

POST

/v1/chat/completions

#!/usr/bin/env bash

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

response=$(curl --silent --location --request POST "https://api.cometapi.com/v1/responses" \
  --header "Authorization: Bearer $COMETAPI_KEY" \
  --header "Content-Type: application/json" \
  --header "Accept: application/json" \
  --data-raw '{
    "model": "qwen3.7-plus",
    "input": "你能做些什么？"
  }')

if command -v jq >/dev/null 2>&1; then
  printf '%s
' "$response" | jq -r '(
    [
      .output[]?
      | select(.type == "message")
      | .content[]?
      | select(.type == "output_text")
      | .text
    ][0]
  ) // .output_text // .'
else
  printf '%s
' "$response"
fi

Versions of Qwen3.7 Plus

The reason Qwen3.7 Plus has multiple snapshots may include potential factors such as variations in output after updates requiring older snapshots for consistency, providing developers a transition period for adaptation and migration, and different snapshots corresponding to global or regional endpoints to optimize user experience. For detailed differences between versions, please refer to the official documentation.

Version
qwen3.7-plus

Qwen3.7 Plus