Qwen2.5-Max VS Llama4-Scout-17B-16E-Instruct
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Qwen2.5-Max | Alibaba | January 28, 2025 | N/A | 5.7 |
| 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 Qwen2.5-Max VS Llama4-Scout-17B-16E-Instruct AI Models
Comprehensive Capability Comparison
Neither model possesses practical application capabilities, frequently producing erroneous outputs with extremely low task completion rates.
Language Understanding Comparison
Qwen2.5-Max delivers average language output; Llama4-Scout-17B-16E-Instruct frequently fails at even basic communication tasks.
Mathematical Reasoning Comparison
Both models have poor reasoning capabilities, frequently producing invalid or unusable results.
