Llama4-Maverick-17B-128E-Instruct VS GLM-4
| 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 | Zhipu AI | January 16, 2024 | N/A | 5.6 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of Llama4-Maverick-17B-128E-Instruct VS GLM-4 AI Models
Comprehensive Capability Comparison
Neither model is practically useful and both struggle to support any high-quality task workflows.
Language Understanding Comparison
Both models are unreliable with high error rates, unsuitable for meaningful tasks.
Mathematical Reasoning Comparison
Both models are inadequate in reasoning and computation, frequently failing and unable to handle practical analytical tasks.
