glm-4-plus
- 125K Context
- 7/M Input Tokens
- 7/M Output Tokens
- ChatGLM
- Text 2 text
- 15 Nov, 2024
Model Unavailable
GLM-4-Plus Model Introduction
Key Capabilities and Primary Use Cases
- Language Understanding: Advanced capabilities in language comprehension, instruction following, and long-text processing.
- Multimodal Support: Includes models for text-to-image generation (CogView-3-Plus), image/video understanding (GLM-4V-Plus), and video generation (CogVideoX).
- Cross-Modal Interactions: Supports text, audio, and video modalities, as seen in the Qingyan APP video call service.
Most Important Features and Improvements
- Comprehensive Improvements: Enhanced language understanding, instruction following, and long-text processing, comparable to GPT-4[1][5].
- New Architectures: CogView-3-Plus uses a Transformer architecture, and GLM-4V-Plus is the first general-purpose video understanding model API in China[1][4].
- Multimodal Capabilities: GLM-4V-9B supports dialogue in Chinese and English with high-resolution image understanding[3].
Essential Technical Specifications
- Context Length: Supports up to 128K tokens (equivalent to about 300 pages of text)[5].
- Multilingual Support: Supports 26 languages, including Japanese, Korean, and German[3].
- Model Variants: Includes GLM-4-9B, GLM-4-9B-Chat, and GLM-4V-9B models with various capabilities[3].
Notable Performance Characteristics
- Performance Parity: Comparable to GPT-4 in natural language processing benchmarks, with superior performance in Chinese[1][5].
- Accelerated Inference: Faster inference speed and higher concurrency support[5].
- Superior Multimodal Evaluations: Outperforms models like GPT-4-turbo and Gemini 1.0 Pro in multimodal tasks[3].