NEW OpenAI: GPT-4.1 is Absolutely INSANE…

Key Concepts

GPT-4.1, GPT-4.1 Mini, GPT-4.1 Nano, API, Coding, Instruction Following, Long Context, Open Router, Windsurf, Gemini 2.5 Pro, Claude 3.7 Sonet, SWE bench, ADA polyglot, MME, Visual Studio Code, P5.js, AI Agents, Prompt Engineering, AI Detectors, LiveWeave, R Code, SEO, Keyword Research Tool, AI Automation Agency.

GPT-4.1 Release and Features

• Main Topic: The video discusses the new GPT-4.1 models released in the OpenAI API, focusing on their improvements in coding, instruction following, and long context comprehension.
• Key Points:
  • Three new models: GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano.
  • Outperforms GPT-4.0 and GPT-4.5 in coding and instruction following.
  • Larger context windows (1 million tokens).
  • Faster reply speeds.
  • Improved performance on SWE bench verified for coding (54.6%, a 21.4% improvement over GPT-4.0).
  • Superior instruction following on scales multi-challenge benchmark.
  • Better long context understanding on video MME benchmark (72%, a 6.7% improvement over GPT-4.0).
  • GPT-4.5 preview will be deprecated in the API due to GPT-4.1's lower cost and latency.
• Access:
  • Available through the OpenAI API.
  • Accessible via platforms like Open Router (with varying prices for different models).
  • Free access for a limited time through Windsurf.
• Pricing (via Open Router):
  • GPT-4.1 Nano: $0.1 per million input tokens, $0.4 per million output tokens.
  • GPT-4.1 Mini: Price not explicitly stated but implied to be higher than Nano.
  • GPT-4.1: $2 per million input tokens, price for output tokens not specified.
• Agents: The models are more effective at powering AI agents, aligning with the trend towards agent-based applications.

Benchmarks and Performance

• SWE bench Verified Accuracy: GPT-4.1 outperforms previous models in generating patches to solve code repository issues.
• ADA Polyglot Benchmark: GPT-4.1 is not outperforming OpenAI 01 and 03 Mini in terms of polyglot accuracy.
• MME Accuracy: GPT-4.1 outperforms 4.0, but OpenAI 01 is still more powerful. GPT-4.5 is on par for MMBU accuracy.
• Mass Vista Accuracy: GPT-4.1 and 4.1 Mini are performing well and are tied with pretty much everything.
• Windsurf Internal Coding Benchmarks: GPT-4.1 scores 60% higher than GPT-4.0, with users reporting 30% more efficiency in tool calling and 50% less repetition of unnecessary edits.

Practical Applications and Examples

• Flashcard Web Application: GPT-4.1 generates a better UI and higher quality code compared to GPT-4.0.
• Endless Runner Game (P5.js): Demonstrated building a simple game using a single prompt in Windsurf.
• SEO Website Landing Page: Attempted to create a landing page for an SEO agency using Windsurf, but the initial output was deemed unsatisfactory in terms of design and UI.
• Keyword Research Tool: Built a keyword research tool using R Code and GPT-4.1, demonstrating the ability to integrate API keys and generate keyword ideas.

Step-by-Step Processes and Methodologies

• Building a P5.js Game with Windsurf:
  1. Open Windsurf.
  2. Select GPT-4.1 in write mode.
  3. Use a prompt to generate the game code.
  4. Copy the generated code.
  5. Paste the code into the P5.js editor.
  6. Run the game.
• Building a Website with Windsurf:
  1. Open Windsurf.
  2. Select GPT-4.1 in write mode.
  3. Use a prompt to generate the website code.
  4. Accept the file changes.
  5. Preview the website.
• Building a Keyword Research Tool with R Code:
  1. Install Root Code extension in Visual Studio Code.
  2. Configure Root Code to use GPT-4.1 via Open Router.
  3. Use a prompt to generate the keyword research tool code.
  4. Run the code.
  5. Optionally, integrate a ChatGPT API key for enhanced functionality.

Comparative Analysis: GPT-4.1 vs. Claude vs. Gemini 2.5 Pro

• Content Creation: GPT-4.1 produced more human-like and less detectable content compared to Claude and Gemini 2.5 Pro.
• Coding (Pixelated Dinosaur Game): GPT-4.1 generated a functional game, while Gemini 2.5 Pro's output was buggy and Claude's output didn't work at all.
• Coding (Water Molecule Simulation): Gemini 2.5 Pro and Claude generated functional simulations, while GPT-4.1's output was non-functional.
• Landing Page Creation: All models performed poorly, but Claude was rated slightly better, followed by GPT-4.1, and then Gemini 2.5 Pro.
• Overall:
  • GPT-4.1: Strong for writing tasks and humanizing content.
  • Claude: Potentially better for coding tasks.
  • Gemini 2.5 Pro: A free option, but performance can be inconsistent.

Tools and Platforms Mentioned

• Open Router: A platform for accessing various AI models, including GPT-4.1, with different pricing options.
• Windsurf: An IDE offering free access to GPT-4.1 for a limited time.
• P5.js Editor: An online editor for previewing and running P5.js code.
• LiveWeave: An online HTML, CSS, and JavaScript editor for testing landing pages.
• Visual Studio Code: A code editor used with the Root Code extension.
• Root Code: A Visual Studio Code extension for coding with AI models.
• Deep Site: A free tool for building websites.
• AI Studio (Google): Platform to access Gemini models.

Notable Quotes and Statements

• Sam Altman (via Twitter): "GPT4.1 and Mini and Nano are now available in the API. These models are great at coding, instruction following, and long context... developers seem very happy."
• "2025 is the year of agents" - Implies the strategic importance of coding-focused AI models.

Technical Terms and Concepts

• API (Application Programming Interface): A set of rules and specifications that software programs can follow to communicate with each other.
• Context Window: The amount of text or data that a language model can consider at one time when generating a response.
• Tokens: Units of text used by language models for processing.
• SWE bench: A benchmark for evaluating the performance of language models on software engineering tasks.
• ADA Polyglot: A benchmark for evaluating the ability of language models to understand and generate code in multiple programming languages.
• MME (Multimodal Evaluation): A benchmark for evaluating the ability of language models to understand and process information from multiple modalities, such as text and images.
• UI (User Interface): The visual elements and controls that allow users to interact with a software program or device.
• HTML (HyperText Markup Language): The standard markup language for creating web pages.
• CSS (Cascading Style Sheets): A style sheet language used for describing the presentation of a document written in HTML or XML.
• JavaScript: A programming language commonly used for creating interactive effects within web browsers.
• P5.js: A JavaScript library for creative coding, with a focus on making coding accessible and inclusive for artists, designers, educators, and beginners.
• SEO (Search Engine Optimization): The practice of improving the visibility of a website or web page in search engine results pages (SERPs).

Logical Connections

• The video begins by introducing the new GPT-4.1 models and their key features, then moves on to discuss how to access them and their pricing.
• It then presents benchmark results to demonstrate the models' performance in various areas, followed by practical examples of how to use them for different tasks.
• The video also includes a comparative analysis of GPT-4.1 with other AI models like Claude and Gemini 2.5 Pro, highlighting their strengths and weaknesses.
• Finally, it concludes with a summary of the main takeaways and a call to action to join the AI Profit Boardroom.

Data, Research Findings, and Statistics

• GPT4.1 scores 54.6% on swench verified improving by 21.4% 4% of GPT40 and 26.6% 6% over GPT4.5.
• GPT 84.1 scored 72 72% on the long no subtitles a 6.7% improvement over GPT40.
• GPT4.1 scores 60% higher than GPT40 on Windsurf's internal coding benchmarks.

Synthesis/Conclusion

The GPT-4.1 release represents a significant advancement in AI capabilities, particularly in coding and instruction following. While GPT-4.1 demonstrates strengths in writing and content humanization, its performance in coding tasks can be inconsistent compared to models like Claude and Gemini 2.5 Pro. The choice of model depends on the specific task, budget, and desired level of performance. The video emphasizes the importance of practical testing and experimentation to determine the best tool for a given application.