glm-4v-plus

GLM-4V-Plus Model Introduction

Key Capabilities and Primary Use Cases

• Multimodal Understanding: Excels in image and video understanding, including temporal sequence analysis and visual question answering[2][3].
• Text-to-Image Generation: Performs on par with top-tier industry models like MJ-V6 and FLUX[2].
• Multimodal Conversational AI: Supports text, audio, and video modalities for smooth conversations and real-time inference[2].

Most Important Features and Improvements

• Advanced Visual Intelligence: GLM-4V-Plus offers excellent image and video understanding capabilities, including temporal awareness[2].
• Long-Text Processing: Enhances long-text inference through a precise mix of short and long text data strategies[2].
• Integrated Tools: Includes features like web browsing, code execution, and custom tool calls, similar to GLM-4 All Tools[4][5].

Essential Technical Specifications

• Parameters: Part of the GLM-4 series, with models like GLM-4-9B having 9 billion parameters[4][5].
• Languages: Supports multiple languages, including Chinese, English, Japanese, Korean, and German[5].
• Context Length: Supports up to 128K context length and extends to 1M context length in some variants[5].

Notable Performance Characteristics

• Benchmark Performance: Rivals or outperforms GPT-4 in various benchmarks such as MMLU, GSM8K, MATH, and HumanEval[4][5].
• Multimodal Benchmarks: High scores on MMBench-EN-Test, MMBench-CN-Test, and SEEDBench_IMG tasks[3].
• Real-Time Inference: Capable of real-time inference and reaction in video call features[2].