Llama4-Maverick-17B-128E-Instruct VS DeepSeek-V2-Chat
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Llama4-Maverick-17B-128E-Instruct | Meta | April 5, 2025 | 400B | 5.6 |
| DeepSeek-V2-Chat | DeepSeek | May 6, 2024 | 236B | 5.7 |
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 DeepSeek-V2-Chat 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
DeepSeek-V2-Chat has some limitations but remains functional for simple tasks. Llama4-Maverick-17B-128E-Instruct frequently fails and is ineffective for meaningful reasoning.
