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What is Llama 4 Scout?

Llama 4 Scout represents a leap forward in multimodal AI, featuring 17 billion active parameters and a groundbreaking 10 million token context length. With its ability to integrate both text and image data, Llama 4 Scout excels at tasks like multi-document summarization, complex reasoning, and image grounding. It delivers superior performance across various benchmarks and is particularly effective in applications requiring both language and visual comprehension. Scout's efficiency and advanced capabilities make it an ideal solution for developers and businesses looking for a versatile and powerful model to enhance their AI-driven projects.

What is GLM-4.1V?

GLM-4.1V represents a cutting-edge vision-language model that provides a powerful and efficient multimodal ability for interpreting and reasoning through different types of media, such as images, text, and documents. The 9-billion-parameter variant, referred to as GLM-4.1V-9B-Thinking, is built on the GLM-4-9B foundation and has been refined using a distinctive training method called Reinforcement Learning with Curriculum Sampling (RLCS). With a context window that accommodates 64k tokens, this model can handle high-resolution inputs, supporting images with a resolution of up to 4K and any aspect ratio, enabling it to perform complex tasks like optical character recognition, image captioning, chart and document parsing, video analysis, scene understanding, and GUI-agent workflows, which include interpreting screenshots and identifying UI components. In benchmark evaluations at the 10 B-parameter scale, GLM-4.1V-9B-Thinking achieved remarkable results, securing the top performance in 23 of the 28 tasks assessed. These advancements mark a significant progression in the fusion of visual and textual information, establishing a new benchmark for multimodal models across a variety of applications, and indicating the potential for future innovations in this field. This model not only enhances existing workflows but also opens up new possibilities for applications in diverse domains.

Media

Media

Integrations Supported

OpenRouter
C
C++
Cline
Clojure
Go
Java
JavaScript
Julia
Kilo Code
LLM Council
Llama
Llama 4 Maverick
Okara
R
Scala
Snowflake
Sup AI
TypeScript
kluster.ai

Integrations Supported

OpenRouter
C
C++
Cline
Clojure
Go
Java
JavaScript
Julia
Kilo Code
LLM Council
Llama
Llama 4 Maverick
Okara
R
Scala
Snowflake
Sup AI
TypeScript
kluster.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com

Company Facts

Organization Name

Zhipu AI

Date Founded

2023

Company Location

China

Company Website

chat.z.ai/

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