Llama4-Maverick-17B-128E-Instruct VS GLM-4-Plus
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Llama4-Maverick-17B-128E-Instruct | Meta | April 5, 2025 | 400B | 5.6 |
| GLM-4-Plus | Zhipu AI | August 30, 2024 | N/A | 5.8 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
Swipe left and right to view more
Brief Comparison of Llama4-Maverick-17B-128E-Instruct VS GLM-4-Plus AI Models
Comprehensive Capability Comparison
Neither model possesses practical application capabilities, frequently producing erroneous outputs with extremely low task completion rates.
Language Understanding Comparison
GLM-4-Plus handles basic tasks; Llama4-Maverick-17B-128E-Instruct often fails to communicate effectively.
Mathematical Reasoning Comparison
Both models are inadequate in reasoning and computation, frequently failing and unable to handle practical analytical tasks.
