GLM-4-9B-Chat
9B
Model parameter quantity
Zhipu AI
Affiliated organization
Open Source
License Type
June 4, 2024
Release time
Related figures
Model Introduction
GLM-4-9B is the open-source version of the latest generation pre-trained model in the GLM-4 series launched by ZhiPu AI.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
Swipe left and right to view more
Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
4.4
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
6.8
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
4.0
Model comparison
GLM-4-9B-Chat vs Qwen2.5-7B-Instruct
Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
GLM-4-9B-Chat vs GPT-4o-mini-20240718
GPT-4o-mini is an API model produced by OpenAI, with the specific version number being gpt-4o-mini-2024-07-18.
GLM-4-9B-Chat vs GPT-4o-mini-20240718
GPT-4o-mini is an API model produced by OpenAI, with the specific version number being gpt-4o-mini-2024-07-18.
GLM-4-9B-Chat vs Gemini-2.5-Pro-Preview-05-06
Gemini 2.5 Pro is a model released by Google DeepMind artificial intelligence research team, using version number Gemini-2.5-Pro-Preview-05-06.
GLM-4-9B-Chat vs DeepSeek-V2-Chat-0628
DeepSeek-V2 is a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. It comprises 236B total parameters, of which 21B are activated for each token. Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger performance, and meanwhile saves 42.5% of training costs, reduces the KV cache by 93.3%, and boosts the maximum generation throughput to 5.76 times.
Related model
GLM-4.5-Air
The new GLM-4.5 reasoning model series released by GLM
GLM-4.5
The new GLM-4.5 reasoning model series released by GLM
GLM-4-9B-Chat
GLM-4-9B is the open-source version of the latest generation pre-trained model in the GLM-4 series launched by ZhiPu AI.
GLM-4-9B-Chat
GLM-4-9B is the open-source version of the latest generation pre-trained model in the GLM-4 series launched by ZhiPu AI.
GLM-4-0520
GLM-4 is an API model from Zhipu AI, with a parameter count exceeding the hundred billion scale. This model undergoes periodic version iterations.
Relevant documents
Finding Strength Through Faith: Exploring Its Peaceful Power
Amidst the chaos and pressures of modern life, discovering inner tranquility and lasting resilience becomes essential. Faith stands firm as a pillar for countless individuals - offering guidance through uncertainty, comfort in distress, and clarity a
Boost Your AI List Building with PLR Content: The Ultimate Guide
Building a high-quality email list forms the foundation of any successful digital marketing strategy. Modern AI tools combined with Private Label Rights (PLR) content have revolutionized this process, making it faster and more effective than ever. Th
AI Ad Scaling Revolution: Supercharge Creativity by 10X in 2025
The digital advertising landscape continues its rapid evolution, making innovation imperative for competitive success. As we approach 2025, the fusion of artificial intelligence and creative marketing presents groundbreaking opportunities to revoluti
AI Recruitment Systems Expose Hidden Biases Impacting Hiring Decisions
The Hidden Biases in AI Recruitment: Addressing Systemic Discrimination in Hiring AlgorithmsIntroductionAI-powered hiring tools promise to transform recruitment with efficient candidate screening, standardized interview processes, and data-driven sel
Corporate AI Adoption Plateaus, Ramp Data Reveals
Corporate AI Adoption Reaches PlateauWhile businesses initially rushed to implement artificial intelligence solutions, enthusiasm appears to be stabilizing as organizations confront the technology's current limitations.The Adoption SlowdownRamp's AI
