Qwen3.7-Plus

Qwen3.7-Plus

Alibaba
SmolVLM

SmolVLM

Hugging Face
+
+

Related Products

  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • Dialpad Support
    1,607 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • ARGOS Identity
    8 Ratings
    Visit Website
  • Creatio
    589 Ratings
    Visit Website
  • Zendesk
    8,478 Ratings
    Visit Website
  • kama.ai
    9 Ratings
    Visit Website
  • Virtuoso QA
    131 Ratings
    Visit Website

About

Qwen3.7-Plus is a multimodal agent model that unifies vision and language into a single, versatile agent foundation. Building on Qwen3.7’s agentic intelligence, it extends Qwen’s capabilities into visual understanding, visual reasoning, grounded interaction, and multimodal tool use, enabling agents to perceive, analyze, and act across text, images, documents, screens, and complex real-world contexts. It is designed for tasks that require more than static question answering, including visual search, document comprehension, chart and table analysis, screen understanding, GUI interaction, image-grounded reasoning, and agent workflows that combine perception with planning and execution. Qwen3.7-Plus strengthens the connection between language reasoning and visual evidence, allowing users to ask questions about images, interpret dense multimodal inputs, extract structured information, and generate responses that reflect both context and visual details.

About

SmolVLM-Instruct is a compact, AI-powered multimodal model that combines the capabilities of vision and language processing, designed to handle tasks like image captioning, visual question answering, and multimodal storytelling. It works with both text and image inputs, providing highly efficient results while being optimized for smaller, resource-constrained environments. Built with SmolLM2 as its text decoder and SigLIP as its image encoder, the model offers improved performance for tasks that require integration of both textual and visual information. SmolVLM-Instruct can be fine-tuned for specific applications, offering businesses and developers a versatile tool for creating intelligent, interactive systems that require multimodal inputs.

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Audience

AI developers and product teams that need a multimodal agent model for visual reasoning, document understanding, screen analysis, and tool-using AI workflows

Audience

Developers, AI researchers, and businesses looking for a compact, high-performance model to handle multimodal tasks, including image-based data analysis, captioning, and story generation

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

Company Information

Hugging Face
Founded: 2016
United States
huggingface.co/HuggingFaceTB/SmolVLM-Instruct

Alternatives

Claude Sonnet 5

Claude Sonnet 5

Anthropic

Alternatives

GLM-5.2

GLM-5.2

Z.ai
Inkling

Inkling

Thinking Machines Lab
Qwen3.5

Qwen3.5

Alibaba
Pixtral Large

Pixtral Large

Mistral AI
Qwen3.8-Max

Qwen3.8-Max

Alibaba
Magma

Magma

Microsoft

Categories

AI Models Supported
Multimodal Models Supported

Categories

AI Vision Models Supported

Integrations

Alibaba Cloud Model Studio Supported
Cherry Studio Supported
ClinePass Supported
Happy Shrimp 1.0 Supported
Hermes Agent Supported
Hugging Face Supported
Model Context Protocol (MCP) Supported
ModelScope Supported
Ollama Supported
OpenClaw Supported
Python Supported
Qwen Supported
Qwen Studio Supported
Vercel AI Gateway Supported

Integrations

Alibaba Cloud Model Studio Not Supported
Cherry Studio Not Supported
ClinePass Not Supported
Happy Shrimp 1.0 Not Supported
Hermes Agent Not Supported
Hugging Face Not Supported
Model Context Protocol (MCP) Not Supported
ModelScope Not Supported
Ollama Not Supported
OpenClaw Not Supported
Python Not Supported
Qwen Not Supported
Qwen Studio Not Supported
Vercel AI Gateway Not Supported
Claim Qwen3.7-Plus and update features and information
Claim Qwen3.7-Plus and update features and information
Claim SmolVLM and update features and information
Claim SmolVLM and update features and information