LLAMA 4 Coder FULLY FREE AI Coder! Fast + 10 Million Context!
AI Summary
Video Summary: Meta AI’s New Models
- Llama for Scout
- 17 billion active parameters, 16 experts
- Record-breaking 10 million token context window
- Outperforms Gemma 3, Gemini 2.0 Flash, Mistral 3.1
- Llama 4 Maverick
- 17 billion active parameters, 128 experts
- Superior for image grounding, better than GPT-4 Omni and others
- Matches DeepSeek V3 in reasoning and coding
- Excellent performance-to-cost ratio (score a400 on Alam Marina)
- Llama 4 Behemoth
- In training, outperforms GPT 4.5 and others in stem-heavy tasks
- Not yet compared to Gemini 2.5 Pro
- Model Performance
- Llama models not the best for coding but fast on output
- Recommended for long contexts with Scout
- Underperform against top competitors in certain benchmarks
- Cost-efficient for extensive use despite some bugs
- Testing in IDE
- Use ‘Klein’ for autonomous coding features.
- Free Llama 4 API available at Open Router: create an account and get API keys.
- Works well with VS Code and other IDEs.
- Settings: Paste Open Router key and choose the Llama 4 model.
- Coding Examples
- Quick code generation noted with examples (SAS website, task list management app).
- Results varied; noted functionality but basic outputs.
- Conclusion
- Models show promise, particularly for longer contexts.
- Recommendations for trying out and exploring features for specific needs.
- Anticipation for future model Behemoth.
Links and detailed instructions are mentioned in the video description for further exploration.