DeepSeek-R1 VS Llama4-Scout-17B-16E-Instruct
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| DeepSeek-R1 | DeepSeek | January 20, 2025 | 671B | 7.1 |
| Llama4-Scout-17B-16E-Instruct | Meta | April 5, 2025 | 109B | 5.2 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of DeepSeek-R1 VS Llama4-Scout-17B-16E-Instruct AI Models
Comprehensive Capability Comparison
DeepSeek-R1 may not be top-tier but is practically useful, whereas Llama4-Scout-17B-16E-Instruct fails to effectively complete most command-based or multi-step tasks.
Language Understanding Comparison
DeepSeek-R1 delivers average language output; Llama4-Scout-17B-16E-Instruct frequently fails at even basic communication tasks.
Mathematical Reasoning Comparison
DeepSeek-R1 has some limitations but remains functional for simple tasks. Llama4-Scout-17B-16E-Instruct frequently fails and is ineffective for meaningful reasoning.
