# Comparison of 3 Major AI Models for Website Building: The Clear Winner Claude outperformed competitors in creating a used car dealership website. - **Source:** [Android Police](https://brifing.si/source/a7444c3b-8025-40d3-b68b-72e44d7adc84) - **Published:** 2026-08-15 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/e6ef228a-2546-4b86-b958-6ae53dd6a3b9 ## Test Purpose and Methodology The author tested Gemini, ChatGPT, and Claude models with the same prompt to create a used car dealership website. The prompt was intentionally left vague to measure the models' reasoning abilities. All three models understood the basic structure and produced a functional website. The test used the most advanced models and settings available to free users. ## Gemini's Shortcomings While Gemini's output looked decent at first glance, it had major issues in details. It used random images that didn't match vehicle listings - like showing an empty road for a Jeep Wrangler or a Ferrari for a Ford F-150. Pricing was also illogical, with vastly different vehicles listed at nearly the same price. This showed the model struggled with contextual understanding. ## Claude's Superior Performance Claude not only correctly matched vehicle models but also found realistic used car photos. It added condition badges (A+, A-) without being asked. The high-resolution images showed authentic dents and scratches. The overall website design appeared more mature and professional. Claude understood the 'used car' context better than its competitors. ## ChatGPT's Middle Ground ChatGPT performed better than Gemini regarding images. Though it still pulled random pictures from the internet, some at least matched the correct vehicle type. The website design was more polished than Gemini's. However, it couldn't match Claude's success. The model showed partial understanding but failed to fully grasp the context. ## Ethical Constraints and Second Chance Initially, Claude used SVG sketches due to copyright concerns about real photos. But when asked to use actual images, it demonstrated it had already understood the 'used car' context without explicit instruction. This showed Claude's technical superiority beyond just ethical constraints. The model could infer user intent effectively. ## Speed vs Quality Trade-off Claude's main disadvantage was slower processing time. While Gemini and ChatGPT completed the task in 2 minutes, Claude took 10 minutes just to add real photos. The initial version took even longer. However, the author noted they'd willingly wait longer for superior results. When accuracy matters more than speed, Claude is clearly ahead. ## Development Process Challenges Fixing errors in Gemini and ChatGPT's outputs could be a major headache for someone without software development knowledge. Claude's output was nearly ready to use. This makes Claude more user-friendly for non-technical users. Correcting mistakes might take more time than waiting longer for Claude's more accurate initial output. ## Conclusion and Takeaways The test proved Claude's superior reasoning and contextual understanding. While other models technically completed the task, they made poor decisions at critical points. Claude's ethical approach and better performance make it stand out for complex projects. When user experience and output quality are priorities, Claude currently appears to be the best choice available. ## Sources covering this story - https://www.androidpolice.com/building-site-with-three-top-ai-bots-found-undisputed-winner/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._