Mistral-Large VS GLM-4
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Mistral-Large | Mistral AI | February 26, 2024 | N/A | 6.3 |
| 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
Swipe left and right to view more
Brief Comparison of Mistral-Large VS GLM-4 AI Models
Comprehensive Capability Comparison
Mistral-Large still retains some practical value, whereas GLM-4 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
Mistral-Large has some limitations but remains functional for simple tasks. GLM-4 frequently fails and is ineffective for meaningful reasoning.
