Compare Grok 3 and LLaMA 3 70B. Find out which model is better for your specific use case and requirements.
| Feature | Grok 3 | LLaMA 3 70B |
|---|---|---|
| Provider | xAI | Meta |
| Model Type | text | text |
| Context Window | 131,072 tokens | 8,192 tokens |
| Input Cost | $3.00/ 1M tokens | N/A |
| Output Cost | $15.00/ 1M tokens | N/A |
1. Strong enterprise-grade reasoning
2. Excellent at data extraction and summarization
3. High-performance coding capabilities
4. Supports function calling and structured outputs
5. Large 131K context window
6. Efficient cost structure with cached token pricing
7. Enterprise reliability and availability
8. Supports advanced search capabilities
LLaMA 3 70B is a powerful, large-scale open-source model that excels at a wide range of tasks, including nuanced content creation, code generation, and complex reasoning. Its open nature allows for fine-tuning and customization, making it a top choice for developers looking to build specialized applications.
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
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Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
Create a loyalty program that rewards continued engagement and advocacy, reinforcing how your USP supports ongoing persona challenges.
Generate unique short stories with compelling plots, diverse characters, and immersive settings.
Craft a blog series that challenges conventional wisdom and positions your USP as the innovative solution to persona challenges.
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