Llama4-Scout-17B-16E-Instruct VS DeepSeek-V2.5
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Llama4-Scout-17B-16E-Instruct | Meta | April 5, 2025 | 109B | 5.2 |
| DeepSeek-V2.5 | DeepSeek | September 5, 2024 | 236B | 6.4 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of Llama4-Scout-17B-16E-Instruct VS DeepSeek-V2.5 AI Models
Comprehensive Capability Comparison
DeepSeek-V2.5 still retains some practical value, whereas Llama4-Scout-17B-16E-Instruct 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
DeepSeek-V2.5 has some limitations but remains functional for simple tasks. Llama4-Scout-17B-16E-Instruct frequently fails and is ineffective for meaningful reasoning.
