Gemini 1.5 ProvsLlama 3
A detailed side-by-side comparison of Gemini 1.5 Pro and Llama 3 to help you choose the best AI tool for your needs.
Gemini 1.5 Pro
Price: Free / Pay-as-you-go
Pros
- Massive 1M+ token context
- Native video understanding
- Deep Google integration
Cons
- Can be slower with large context
- Inconsistent formatting
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
| Feature | Gemini 1.5 Pro | Llama 3 |
|---|---|---|
| Context Window | 1M+ tokens | 8k-128k |
| Coding Ability | Very Good | Very Good |
| Web Browsing | Yes | No |
| Image Generation | No | No |
| Multimodal | Yes | No |
| Api Available | Yes | Yes |
Real-World Test Results (v2.0 - New Engine)
Writing a Press Release
Winner: DrawPrompt Used:
Analysis: Think of Gemini 1.5 Pro as your strategic planning tool—it handles the General layer through its Massive 1M+ token context capabilities. Llama 3, on the other hand, executes the General vision with precision. For professional users workflows, you'd start with Gemini 1.5 Pro and finish with Llama 3.
Summarizing a Technical Whitepaper
Winner: Tool APrompt Used:
Analysis: Because Gemini 1.5 Pro features Massive 1M+ token context, The output from Gemini 1.5 Pro felt more polished, likely due to its superior Massive 1M+ token context engine.
Final Verdict
If you want massive 1m+ token context, go with **Gemini 1.5 Pro**. However, if can run locally is more important to your workflow, then **Llama 3** is the winner.