GLM-4.5: New SOTA Opensource KING! Powerful, Fast, & Cheap! (Fully Tested)
Updated: July 30, 2025
Summary
The video introduces two new large language models, GLM 4.5 and GLM 4.5 Air, discussing their parameters and context length, as well as evaluating their performance across various tasks. These models offer a hybrid switch between deep reasoning and tools, similar to Alibaba's approach, allowing flexibility in tasks like math and GPQA. Priced at $2.20 per 1 million input tokens, the models showcase strong coding capabilities by generating games, UI elements, to-do boards, and demonstrating spatial reasoning by identifying the liar in a theft scenario based on statements. Additionally, the models excel in web searches and content generation tasks, displaying adaptive searching and quick content generation abilities.
Introduction of GLM 4.5 and GLM 4.5 Air
Introduction of two powerful new large language models from the GLM family, GLM 4.5 and GLM 4.5 Air, with details on their total parameters and context length.
Evaluation and Comparison with Other Models
Discussion on the evaluation of GLM 4.5 and GLM 4.5 Air across 12 reasoning and coding tasks, ranking against models like Mind, Xi, Alibaba, Moonshot, and Deep Seek.
Hybrid Reasoning and Tool Switch
Features of the models including a hybrid switch between deep reasoning and tools, similar to Alibaba's approach, allowing flexibility in tasks like math, GPQA, and others.
Pricing and Access
Information on the pricing of the models at $2.20 per 1 million input tokens and 20 cents for 1 million output tokens, along with instructions on how to access and use the models.
Coding Capabilities
Exploration of the models' coding capabilities, including generating a Flappy Birds game, UI elements, to-do boards, and front-end development, showcasing the versatility and performance in coding tasks.
Spatial Reasoning Assessment
Testing the model's spatial reasoning capabilities through a scenario involving identifying the liar in a theft situation based on statements from individuals, demonstrating the model's logical reasoning abilities.
Web Search and Content Generation
Utilizing the model for web searches and content generation tasks, such as creating slide decks and retrieving current information, showcasing the model's adaptive searching and quick content generation.
FAQ
Q: What are the two new large language models introduced from the GLM family?
A: GLM 4.5 and GLM 4.5 Air
Q: Can you explain the hybrid switch feature in the GLM models?
A: The hybrid switch feature allows for a switch between deep reasoning and tools, similar to Alibaba's approach, providing flexibility in tasks like math, GPQA, and others.
Q: What is the pricing structure for the GLM models?
A: The models are priced at $2.20 per 1 million input tokens and 20 cents for 1 million output tokens.
Q: What coding capabilities are demonstrated by the GLM models?
A: The models can generate a Flappy Birds game, UI elements, to-do boards, and assist in front-end development tasks, showcasing their versatility and performance in coding tasks.
Q: How were the spatial reasoning capabilities of the models tested?
A: The models were tested by identifying the liar in a theft scenario based on statements from individuals, demonstrating their logical reasoning abilities.
Q: In what tasks can the GLM models be utilized for web searches and content generation?
A: The models can be used for tasks such as creating slide decks, retrieving current information, and adaptive searching, showcasing their quick content generation capabilities.
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