GLM-4-32B-0414 VS Llama4-Scout-17B-16E-Instruct
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| GLM-4-32B-0414 | Zhipu AI | April 14, 2025 | 32B | 6 |
| Llama4-Scout-17B-16E-Instruct | Meta | April 5, 2025 | 109B | 5.2 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of GLM-4-32B-0414 VS Llama4-Scout-17B-16E-Instruct AI Models
Comprehensive Capability Comparison
GLM-4-32B-0414 still retains some practical value, whereas Llama4-Scout-17B-16E-Instruct lacks basic execution capability and is limited in applicability.
Language Understanding Comparison
GLM-4-32B-0414 handles basic tasks; Llama4-Scout-17B-16E-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.
