Mistral-Large VS Baichuan4
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Mistral-Large | Mistral AI | February 26, 2024 | N/A | 6.3 |
| Baichuan4 | Baichuan | May 22, 2024 | N/A | 5.5 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of Mistral-Large VS Baichuan4 AI Models
Comprehensive Capability Comparison
Mistral-Large still retains some practical value, whereas Baichuan4 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. Baichuan4 frequently fails and is ineffective for meaningful reasoning.
