Llama vs. Claude
A side-by-side comparison based on G2 review data.
| Metric | Llama | Claude |
|---|---|---|
| Overall rating | 4.3 | 4.7 |
| Review count | 153 | 526 |
| Ease of use | 8.5 | 9.4 |
| Ease of setup | 8.3 | 9.4 |
| Quality of support | 7.5 | 8.5 |
| Meets requirements | 8.3 | 9.2 |
| NPS | 48.344371 | 81.335953 |
| Small Business | 57.5% | 54.6% |
| Mid-Market | 24.2% | 31.9% |
| Enterprise | 18.3% | 13.5% |
| Total page views | 247 | 5,337 |
| Total LLM citations | 958 | 21,105 |
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
Claude
Claude is a state-of-the-art large language model (LLM) developed by Anthropic, designed to serve as a helpful, honest, and harmless AI assistant. With its advanced reasoning capabilities and conversational tone, Claude excels in tasks ranging from complex coding to in-depth financial analysis, making it a versatile tool for developers, enterprises, and financial professionals. Key Features and Functionality: - Advanced Coding Capabilities: Claude Opus 4 leads in coding performance, achieving top scores on benchmarks like SWE-bench and Terminal-bench.
- Useful
- Ease of Use
- Helpful
- Accuracy
- Communication
- Content Creation