GLM-4 VS Mistral-Small-Instruct-2409
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| GLM-4 | Zhipu AI | January 16, 2024 | N/A | 5.6 |
| Mistral-Small-Instruct-2409 | Mistral AI | September 17, 2024 | 22B | 5.3 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of GLM-4 VS Mistral-Small-Instruct-2409 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
Both models are inadequate in reasoning and computation, frequently failing and unable to handle practical analytical tasks.
