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Description

GLM-4.1V is an advanced vision-language model that offers a robust and streamlined multimodal capability for reasoning and understanding across various forms of media, including images, text, and documents. The 9-billion-parameter version, known as GLM-4.1V-9B-Thinking, is developed on the foundation of GLM-4-9B and has been improved through a unique training approach that employs Reinforcement Learning with Curriculum Sampling (RLCS). This model accommodates a context window of 64k tokens and can process high-resolution inputs, supporting images up to 4K resolution with any aspect ratio, which allows it to tackle intricate tasks such as optical character recognition, image captioning, chart and document parsing, video analysis, scene comprehension, and GUI-agent workflows, including the interpretation of screenshots and recognition of UI elements. In benchmark tests conducted at the 10 B-parameter scale, GLM-4.1V-9B-Thinking demonstrated exceptional capabilities, achieving the highest performance on 23 out of 28 evaluated tasks. Its advancements signify a substantial leap forward in the integration of visual and textual data, setting a new standard for multimodal models in various applications.

Description

Qwen3-Max-Thinking represents Alibaba's newest flagship model in the realm of large language models, extending the capabilities of the Qwen3-Max series while emphasizing enhanced reasoning and analytical performance. This model builds on one of the most substantial parameter sets within the Qwen ecosystem and integrates sophisticated reinforcement learning alongside adaptive tool functionalities, allowing it to utilize search, memory, and code interpretation dynamically during the inference process, thus effectively tackling complex multi-stage challenges with improved precision and contextual understanding compared to traditional generative models. It features an innovative Thinking Mode that provides a clear, step-by-step display of its reasoning processes prior to producing final results, which enhances both transparency and the traceability of its logical conclusions. Furthermore, Qwen3-Max-Thinking can be adjusted with customizable "thinking budgets," allowing users to find an optimal balance between the quality of performance and the associated computational costs, making it an efficient tool for various applications. The incorporation of these features marks a significant advancement in the way language models can assist in complex reasoning tasks.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude Code
Cline
Kilo Code
OpenClaw
OpenRouter
Roo Code
Sup AI

Integrations

Claude Code
Cline
Kilo Code
OpenClaw
OpenRouter
Roo Code
Sup AI

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Zhipu AI

Founded

2023

Country

China

Website

chat.z.ai/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

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