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Can GPT-4.1 REALLY Beat Sonnet 3.7 at Coding?
68Likes
3,013Views
Apr 162025
In this detailed showdown, we put two of the most advanced AI coding models of 2025 head-to-head by challenging them to build a real-world image compression app using NextJS 15, Tailwind CSS, and Bun runtime inside Cursor - The AI Code Editor. GPT-4.1 comes with incredible specs - 1 million tokens of context, superior SWE bench accuracy, and unmatched latency. Claude Sonnet 3.7 also boasts impressive capabilities, making this a fascinating competition for developers looking to choose the best AI assistant for their workflow. In this video, you'll see: āœ… Step-by-step AI-driven development in Cursor text editor. āœ… Real-time debugging and problem-solving capabilities of both AI models. āœ… Surprising outcomes and critical differences in coding efficiency and quality. āœ… A clear demonstration of practical AI capabilities to boost your productivity. Whether you're a professional developer, AI enthusiast, or someone interested in the latest tech trends, this video provides valuable insights into the strengths and weaknesses of GPT-4.1 and Claude Sonnet 3.7. Stick around to see which AI model outperforms the other and why the results genuinely surprised me! šŸ”‘ Key Resources Warp Terminal: https://app.warp.dev/referral/JRPV4Q Cursor: https://www.cursor.com/ GPT -4.1: https://openai.com/index/gpt-4-1/ Claude: https://claude.ai/ NextJS: https://nextjs.org/ šŸŽÆ Chapters: 00:00 Introduction to AI Model Comparison 00:26 Exploring GPT-4.1 Features 02:44 Setting Up the Image Compression App 03:07 Running the Models in Cursor 05:28 Debugging and Observations 18:48 Final Thoughts and Conclusion šŸ”” Don't forget to like, comment, and subscribe to support my channel and stay tuned for an upcoming course: an eBay clone with enhanced realtime bidding functionality using NextJS, HonoJS and PartyKit in a Turborepo Monorepo architecture! #OpenAI #Claude #NextJS #AI #WebDevelopment

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Taylor Lindores-Reeves

3.89K subscribers