Llama 4: DESTROYS ChatGPT & DeepSeek? 🤯

Llama 4 Model Testing and Comparison

Key Concepts:

• Llama 4 (Scout, Maverick, Bearmouth): Meta's new large language model family.
• Context Window: The amount of text a model can consider at once (Llama 4 boasts up to 10 million tokens).
• LM Arena: A platform for comparing and ranking language models.
• Open Router: A platform providing access to various language model APIs.
• HTML, CSS, JavaScript: Web development languages used for creating interactive elements.
• P5.js: A JavaScript library for creative coding, particularly for visualizations and games.
• Gemini 2.5 Pro, Claude 3 Sonnet, Grok 3 Preview, DeepSeek 1, ChatGPT-4: Other competing language models.
• Reasoning: The ability of a model to understand and solve problems.
• Code Generation: The ability of a model to write functional code.

1. Introduction to Llama 4

• Llama 4 has been released by Meta (Mark Zuckerberg).
• According to LM Arena, Llama 4 is outperforming models like ChatGPT-4o, Grok, Deepseek R1, and Gemini 2.0.
• Llama 4 offers a 10 million token context window and is free to use via Open Router or LM Arena.
• Three models were released: Llama 4 Scout (lightweight), Llama 4 Maverick, and a preview of Llama 4 Bearmouth (still in training).
• Llama 4 Scout supports a context window of up to 10 million tokens.

2. HTML Generation Test: Llama 4 Maverick vs. Claude 3 Sonnet

• Prompt: Create an AI-powered audit tool for Goldie Agency that analyzes a business's operations and suggests automation opportunities in HTML. Users must enter their details.
• Claude 3 Sonnet immediately started coding, while Llama 4 planned its approach first.
• Claude 3 Sonnet created a single HTML file, while Llama 4 separated CSS and HTML.
• Result: Llama 4's output was preferred because the form was functional, allowing users to input data and select options. Claude 3 Sonnet's output lacked a functional button.
• Conclusion: Llama 4 wins due to functionality, despite design flaws.

3. Reasoning Test: Llama 4 Maverick vs. Grok 3 Preview

• Prompt: There's a tree on the other side of a river in winter. How can I pick an apple?
• Llama 4's output was better formatted and easier to read.
• Llama 4 identified the constraints of the problem (winter, location) and questioned the assumptions.
• Result: Llama 4 provided more solutions and identified the problem's constraints effectively.
• Conclusion: Llama 4 Maverick's reasoning and presentation were superior to Grok 3 Preview.

4. Game Development Test: Llama 4 Maverick vs. DeepSeek 1

• Prompt: Create a self-playing snake game using HTML with a simple GUI, all in one HTML file.
• Llama 4 initially failed on LM Arena, prompting a switch to Open Router.
• DeepSeek 1 reasoned before coding, which was considered a better approach.
• Llama 4 did not create a single HTML file as instructed, but generated separate HTML, CSS, and JS files.
• Despite not following instructions, Llama 4's snake game was functional and fast.
• DeepSeek 1 created a single HTML file but the game failed to function correctly.
• Result: Llama 4's functional game, despite the multi-file output, was preferred over DeepSeek 1's broken game.
• Conclusion: Llama 4 beats DeepSeek 1 in this test due to a working output.

5. 3JS Game Development Test: Llama 4 Maverick vs. Gemini 2.5 Pro

• Prompt: Make me captivate an endless runner game. Key instructions on screen. Use p5.js, no HTML, pixelated down, and interesting backgrounds.
• Llama 4 generated JavaScript code quickly, but the resulting game was broken and appeared "drunk."
• Gemini 2.5 Pro took longer but produced a functional and visually appealing pixelated dinosaur game.
• Result: Gemini 2.5 Pro's output was significantly better in terms of functionality and quality.
• Conclusion: Gemini 2.5 Pro is superior for this task, producing a working game while Llama 4 failed.

6. Overall Assessment and Conclusion

• The presenter expresses surprise at Llama 4's high ranking on the LM Arena leaderboard and advises caution.
• Gemini and Claude 3 Sonnet are preferred based on the tests conducted.
• The 10 million token context window of Llama 4 is noted as an exciting feature.
• The presenter promotes the AI Profit Boardroom, a community focused on making money and saving time with AI, including automations, workflows, templates, AI agents, a crash course, and weekly Q&A calls.
• A free one-to-one SEO strategy session is offered to help businesses improve their website traffic and sales.