I tested Muse Spark 1.2 Contributor against DeepSeek 4 Flash Vision on five complete full-stack websites. The setup stayed controlled:
- both models received the same frozen brief
- each run used an isolated workspace
- model-caused failures had a three-prompt limit
- the framework changed each round: Next.js, Nuxt, SvelteKit, React Router framework mode, and TanStack Start
- I scored visible UI and UX separately from build and delivery evidence Muse Spark finished on 41/50. DeepSeek finished on 39/50. The two-point gap needs context. Muse’s Trail Stock build had no real styling, so it received 0/3 for UI and UX. DeepSeek made the better-looking Trail Stock site, but its final delivery receipt was incomplete after the prompt limit. That cost delivery points. The attached images are real desktop states from two rounds. I made the comparison and video for the Marvijo Software channel: https://youtu.be/uTIlEj7rVrU For coding-model comparisons, which evidence matters most to you: the rendered product, passing checks, or the final delivery receipt? submitted by /u/marvijo-software
Originally posted by u/marvijo-software on r/ArtificialInteligence
You must log in or # to comment.