GLM-4-9B-Chat VS Mistral-Large-Instruct-2411
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| GLM-4-9B-Chat | Zhipu AI | June 4, 2024 | 9B | 3.1 |
| Mistral-Large-Instruct-2411 | Mistral AI | November 18, 2024 | 123B | 4.8 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of GLM-4-9B-Chat VS Mistral-Large-Instruct-2411 AI Models
Comprehensive Capability Comparison
Neither model possesses practical application capabilities, frequently producing erroneous outputs with extremely low task completion rates.
Language Understanding Comparison
Both models are unreliable with high error rates, unsuitable for meaningful tasks.
Mathematical Reasoning Comparison
GLM-4-9B-Chat possesses mid-level computational reasoning, sufficient for general tasks. Mistral-Large-Instruct-2411 frequently fails, lacking reliable solutions.
