Llama4-Maverick-17B-128E-Instruct VS DeepSeek-R1
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Llama4-Maverick-17B-128E-Instruct | Meta | April 5, 2025 | 400B | 5.6 |
| DeepSeek-R1 | DeepSeek | January 20, 2025 | 671B | 7.3 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
Swipe left and right to view more
Brief Comparison of Llama4-Maverick-17B-128E-Instruct VS DeepSeek-R1 AI Models
Comprehensive Capability Comparison
DeepSeek-R1 may not be top-tier but is practically useful, whereas Llama4-Maverick-17B-128E-Instruct fails to effectively complete most command-based or multi-step tasks.
Language Understanding Comparison
DeepSeek-R1 delivers average language output; Llama4-Maverick-17B-128E-Instruct frequently fails at even basic communication tasks.
Mathematical Reasoning Comparison
DeepSeek-R1 has some limitations but remains functional for simple tasks. Llama4-Maverick-17B-128E-Instruct frequently fails and is ineffective for meaningful reasoning.
