NEW Llama 4 AI Update (FREE!)

Key Concepts

Llama 4 (Bearmoff, Maverick, Scout), 10 million token context window, Grock, Open Router, LM Arena, Gemini 2.5 Pro, Claude 3.7 Sonnet, DeepSeek 3.1, GPT-4, Quaza Alpha, Root Code, Client, N8N, AI Agents, SEO, HTML, CSS, JavaScript, P5.js, 3JS, API, Benchmarks, Coding, Reasoning, Content Creation, Multimodality, Mixture of Experts Architecture, Long Context Support.

Llama 4 Release and Overview

Meta has released Llama 4 with three models: Bearmoff, Maverick, and Scout. A key feature is the 10 million token context window. It's available on llama.com, Hugging Face, and Grock.

• Models: Llama 4 Bearmoff, Llama 4 Maverick, Llama 4 Scout.
• Context Window: Up to 10 million tokens.
• Availability: llama.com, Hugging Face, Grock.
• Benchmarks: Llama 4 Maverick outperforms Gemini 2.0 Flash, DeepSeek 3.1, and GPT-4 on various benchmarks. Llama 4 Scout outperforms Gemma 3, Mistral 3.1, and Gemini 2.0 Flash. Llama 4 Bearmoff is said to outperform Claude 3.7 Sonnet, Gemini 2.0 Pro, and GPT 4.5.
• Mark Zuckerberg: Behind the Llama 4 model.

Accessing and Using Llama 4

Llama 4 can be accessed via llama.com, Hugging Face, Grock, and Open Router. Open Router offers free APIs for Llama 4 Maverick and Scout.

• llama.com: Download section to request access.
• Hugging Face: Available on Hugging Face.
• Grock: Access through groq.com, dev console, and playground. Llama 4 Scout is available in the playground.
• Open Router: Llama 4 Maverick and Scout are available with free APIs. Can be used in tools like Root Code and Client.

Llama 4 Performance Testing

The video tests Llama 4 Maverick and Scout for content creation, reasoning, and coding tasks, comparing them to other models.

Content Creation

• Prompt: Create an SEO optimized article for content creation.
• Result: Scout's content was considered better than Maverick's.

Reasoning

• Prompt: "There's a tree on the other side of the river in winter, how can I pick an apple?"
• Result: Scout provided a more detailed and insightful response than Maverick. Maverick gave short, direct answers. Grock's speed was highlighted.

Coding

• Self-Playing Snake Game: Llama 4 Maverick created a functional snake game in HTML, CSS, and JavaScript. DeepSeek 1 failed to produce a working game.
• 3JS Runner Game: Llama 4 Maverick failed to create a working 3JS runner game. Gemini 2.5 Pro produced a functional game with better quality.

Speed Comparison

• Grock was significantly faster than Open Router in generating responses.

LM Arena Testing

• Llama 4 Maverick was compared to Claude 3.7 Sonnet for creating an AI-powered audit tool. Llama 4's output was preferred because the form was functional.
• Side-by-side comparison with Chat GPT-4o showed that Chat GPT-4o produced a much better output for the same prompt.

Integration with Development Tools

Llama 4 can be integrated into development environments like Visual Studio Code using extensions like Root Code and Client.

• Visual Studio Code: Free to download at code.visualstudio.com.
• Root Code and Client: Extensions for coding with AI.
• Open Router API: Used to connect Llama 4 to Root Code and Client.
• Llama 4 Scout: Selected as the lightweight model for testing.

LM Arena Leaderboard

• Meta's Llama 4 Maverick is ranked number two on the LM Arena leaderboard, surpassing models like Chat GPT-4o, Grok 3, and DeepSeek.
• Gemini 2.5 Pro is considered the best AI model overall.

Quaza Alpha: A Mysterious New Model

A new model called Quaza Alpha is available on Open Router. Its origins are unknown, with speculation that it could be a new Gemini 3.0 Pro or GPT-5.

• Availability: Open Router (openrouter.ai).
• Context Length: 1 million tokens.
• Cost: Free to use.
• Speed: Very fast.
• Coding: Can be used for coding in Root Code and Client.
• Performance: Competitive with Claude 3 Mini, DeepSeek v3, and Sonnet 3.6 on the ADA polyglot coding benchmark.
• Technical Clues: API responses use the "chat cmpl" prefix, similar to OpenAI.
• Model Identity: Claims to be based on OpenAI's GPT-4 architecture with knowledge up to October 2023.

Quaza Alpha Testing and Integration

Quaza Alpha was tested for coding and content creation, and integrated with N8N for building AI agents.

Coding

• Self-Playing Snake Game: Quaza Alpha created a functional snake game with a UI, outperforming Llama 4.
• Website Creation: Quaza Alpha built a landing page for an SEO agency, though not as good as other models like Claude 3.7 Sonnet.

Integration with N8N

• Quaza Alpha can be used to build AI agents in N8N by connecting it via the Open Router API.

Conclusion

Llama 4 offers a large context window and free access through Open Router, but its performance in coding and content creation tasks was inconsistent compared to models like Gemini 2.5 Pro and Claude 3.7 Sonnet. Grock provides a faster response time. Quaza Alpha, a mysterious new model on Open Router, shows promise and can be integrated with various tools for coding and AI agent creation. The presenter still prefers Gemini and Claude for coding tasks.