Ministral-8B-Instruct-2410 VS GLM-4-0520
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Ministral-8B-Instruct-2410 | Mistral AI | October 16, 2024 | 8B | 2.9 |
| GLM-4-0520 | Zhipu AI | January 16, 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 Ministral-8B-Instruct-2410 VS GLM-4-0520 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
Ministral-8B-Instruct-2410 exhibits high-level computational reasoning. GLM-4-0520 produces frequent errors, making it difficult to rely on for complex problem-solving.
