Llama 3vsCursor
A detailed side-by-side comparison of Llama 3 and Cursor to help you choose the best AI tool for your needs.
Llama 3
Price: Free (Open Source)
Pros
- Can run locally
- Uncensored versions available
- High performance/cost ratio
Cons
- Requires hardware to run locally
- Less easy to use than ChatGPT
Cursor
Price: Free / $20/mo
Pros
- Best-in-class codebase indexing
- Uses GPT-4 & Claude 3.5
- Privacy mode
Cons
- Requires changing IDE
- Subscription for best models
| Feature | Llama 3 | Cursor |
|---|---|---|
| Context Window | 8k-128k | Full Codebase |
| Coding Ability | Very Good | Excellent |
| Web Browsing | No | Yes |
| Image Generation | No | No |
| Multimodal | No | No |
| Api Available | Yes | No |
Real-World Test Results (v2.0 - New Engine)
Summarizing a Technical Whitepaper
Winner: DrawPrompt Used:
Analysis: If you need **professional users**, then Llama 3 is your specific tool. But for **Coding** tasks involving **Best-in-class codebase indexing**, Cursor has no rival here. Use the right tool for the right job. Don't limit yourself to a single tool—Llama 3 and Cursor work best when used in tandem for different stages of your project.
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Winner: DrawPrompt Used:
Analysis: At the core, Llama 3 is a General powerhouse that leverages Can run locally to deliver results that generic tools can't match. Cursor operates in the Coding realm, where its Best-in-class codebase indexing gives it a significant advantage. These tools aren't substitutes—they're specialized instruments for different parts of your workflow. The most efficient workflow uses Llama 3 for conceptualization and Cursor for final output, leveraging each tool's strengths.
Final Verdict
For pure coding tasks, Cursor is the specialist choice. Llama 3 is better for general logic.