Ministral-8B-Instruct-2410 VS GLM-4-Plus
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Ministral-8B-Instruct-2410 | Mistral AI | October 16, 2024 | 8B | 2.9 |
| GLM-4-Plus | Zhipu AI | August 30, 2024 | N/A | 6.5 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of Ministral-8B-Instruct-2410 VS GLM-4-Plus AI Models
Comprehensive Capability Comparison
GLM-4-Plus still retains some practical value, whereas Ministral-8B-Instruct-2410 lacks basic execution capability and is limited in applicability.
Language Understanding Comparison
Both models are unreliable with high error rates, unsuitable for meaningful tasks.
Mathematical Reasoning Comparison
Ministral-8B-Instruct-2410 capably addresses most reasoning tasks. GLM-4-Plus lacks reliability in complex or varied computational scenarios.
