Alibaba
Qwen3.8 Omni Flash
qwen3.8-omni-flash
Total Context
1M
Max Output
131.1K
Released
N/A
Input$0.1143 / M tokens
Output$0.3857 / M tokens
Qwen3.7 Plus
qwen3.7-plusQwen3.7 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
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 Index | Artificial Analysis broad capability aggregate | 39 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 46.5 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 90% |
| HLE | Broad expert-level exam set | 33.4% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 45.5% |
| Terminal-Bench Hard | Hard terminal task execution | 47.0% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 78.0% |
| AA-LCR | Long-context reasoning | 65% |
| τ²-Bench | 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.
Media and Discussions
Selected public videos and posts related to this model.
X (Twitter)
Qwen ·
👏👏 Introducing Qwen3.7-Plus — a multimodal agent model that unifies vision and language into one versatile agent foundation. ✅ Multimodal interactive hybrid agent: unified GUI & CLI operation across visual and text tasks ✅ Versatile coding agent & productivity assistant with https://t.co/T3YTDnkE1D
https://pbs.twimg.com/media/HJvxXDCbsAAUdpK.jpgView originalQwen ·
Performance1：Text Benchmarks Qwen3.7-Plus delivers competitive text performance that approaches Max-tier models across the board. https://t.co/irPhTOWN98
https://pbs.twimg.com/media/HJvxNJxasAAw58x.jpgView originalTongyi Lab ·
Introducing Qwen3.7-Plus, the latest flagship addition to the Qwen3.7 model series. Built to bridge the gap between visual perception and terminal execution, it serves as a versatile foundation to power your diverse multimodal agent workflows. 🚀 Key highlights: • Multimodal https://t.co/G4IztC8gnt
https://pbs.twimg.com/media/HJwBfAtaoAAKrr7.jpgView originalReddit
[deleted by user]
View originalQwen3.7-Plus Pushes Further Into Multimodal AI Agents
Such-Run-4412 ·
Read full post
Qwen released Qwen3.7-Plus, a new multimodal agent model built around vision, language, and tool-based workflows. The focus is not just text chat. Qwen3.7-Plus is designed to work across visual and text tasks, including multimodal reasoning, screen-based interaction, image understanding, and agent workflows that move between GUI and CLI environments. This fits the broader Qwen 3.7 strategy: Max is more focused on frontier reasoning and coding, while Plus appears aimed at balanced multimodal performance and practical agent use. The important shift is that AI agents are becoming more visual. They need to understand screens, documents, images, interfaces, buttons, layouts, charts, and files — not just text prompts. Qwen3.7-Plus is another sign that the next agent race is moving toward models that can operate inside real software environments. Source: https://qwen.ai/blog?id=qwen3.7-plus
Qwen3.7 Plus Multimodal Agent Model Released by Alibaba Qwen Team
techspecsmart ·
View originalYouTube
Qwen3.7 Plus First Test – Hands-On With Alibaba’s Mid-Sized Qwen Model!
Bijan Bowen
View originalI Tested NEW Qwen3.7-Plus on FIVE Projects
AI Coding Daily
View originalQwen 3.7 Plus for Free: The AI Agent That Can Actually See Your Screen
AI Stack Engineer
View original