Llama vs. Deepseek
A side-by-side comparison based on G2 review data.
| Metric | Llama | Deepseek |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 153 | 18 |
| Ease of use | 8.5 | 9.3 |
| Ease of setup | 8.3 | 9.3 |
| Quality of support | 7.5 | 7.9 |
| Meets requirements | 8.3 | 8.6 |
| NPS | 48.344371 | 61.111111 |
| Small Business | 57.5% | 66.7% |
| Mid-Market | 24.2% | 16.7% |
| Enterprise | 18.3% | 16.7% |
| Total page views | 247 | 500 |
| Total LLM citations | 958 | 1,827 |
Llama
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model developed by Meta, designed to handle both text and image inputs while generating multilingual text and code outputs across 12 languages. Built on a mixture-of-experts (MoE) architecture with 128 experts, it activates 17 billion parameters per forward pass out of a total of 400 billion, ensuring efficient processing. Optimized for vision-language tasks, Maverick is instruction-tuned to exhibit assistant-like behavior, perform image reasoning, and facilitate general-purpose multimodal interactions.
- Accuracy
- Ease of Use
- Speed
- Open-Source
- Helpful
- Access
Deepseek
DeepSeek LLM is a series of high-performance, open-source large language models from China-based DeepSeek AI.
- Performance Improvement
- Ease of Use
- Accuracy
- Speed
- Content Creation
- Creativity Enhancement