Llama4-Maverick-17B-128E-Instruct VS 360Zhinao3-7B-O1.5
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Llama4-Maverick-17B-128E-Instruct | Meta | April 5, 2025 | 400B | 5.6 |
| 360Zhinao3-7B-O1.5 | 360 Zhinao | April 14, 2025 | 7B | 5.9 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of Llama4-Maverick-17B-128E-Instruct VS 360Zhinao3-7B-O1.5 AI Models
Comprehensive Capability Comparison
Neither model possesses practical application capabilities, frequently producing erroneous outputs with extremely low task completion rates.
Language Understanding Comparison
360Zhinao3-7B-O1.5 delivers average language output; Llama4-Maverick-17B-128E-Instruct frequently fails at even basic communication tasks.
Mathematical Reasoning Comparison
Both models are inadequate in reasoning and computation, frequently failing and unable to handle practical analytical tasks.
