{"id":17704,"date":"2026-07-29T08:35:25","date_gmt":"2026-07-29T08:35:25","guid":{"rendered":"https:\/\/4eck-media.de\/blog\/best-ai-models-in-a-coding-test-july-2026\/"},"modified":"2026-07-29T08:35:31","modified_gmt":"2026-07-29T08:35:31","slug":"best-ai-models-in-a-coding-test-july-2026","status":"publish","type":"blog","link":"https:\/\/4eck-media.de\/en\/blog\/best-ai-models-in-a-coding-test-july-2026\/","title":{"rendered":"Best AI Models in a Coding Test (July 2026)"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><p class=\"wp-block-paragraph\">We have seen plenty of benchmark results, performance comparisons, and ambitious claims about AI models. Since we always want to use the best tool for our clients&rsquo; individual requirements, we decided to go beyond published ratings and run our own hands-on test. Using the same briefing and identical conditions, we compared <strong>Grok 4.5 (Heavy), Kimi K3 (Max), Claude Opus 5 (Ultracode)<\/strong> and <strong>ChatGPT Sol (Ultra)<\/strong>.<\/p><p class=\"wp-block-paragraph\">In our test, the average processing time was 11 minutes for Grok, 16 minutes for Kimi K3, 21 minutes for OpenAI Sol, and 45 minutes for Claude Opus 5. Kimi K3 recorded the lowest total token consumption, followed by Grok and OpenAI Sol (Codex). Claude Opus 5 consumed the most tokens.<\/p><section class=\"custom-theme-block image-full-container theme-image-full-container block-padding-middle\">\n    <div class=\"container\">\n        <div class=\"row\">\n            <div class=\"col-12\">\n                <div class=\"image-wrapper\">\n                    <script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"ImageObject\",\"contentUrl\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/beste-ki-modelle-coding-test-juli-2026-mittelalter.avif\",\"url\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/beste-ki-modelle-coding-test-juli-2026-mittelalter.avif\",\"width\":1080,\"height\":500,\"caption\":\"Four AI models in a hands-on test: Kimi K3, ChatGPT Sol, Grok 4.5 Heavy, and Opus 5.\"}<\/script>\n\n<picture>\n    <img src=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/beste-ki-modelle-coding-test-juli-2026-mittelalter.avif\" srcset=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/beste-ki-modelle-coding-test-juli-2026-mittelalter.avif 1x, https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/beste-ki-modelle-coding-test-juli-2026-mittelalter.avif 2x\" alt=\"Kimi K3, ChatGPT Sol, Grok 4.5 Heavy, and Opus 5 in an AI coding test\" title=\"Four AI models in a hands-on test: Kimi K3, ChatGPT Sol, Grok 4.5 Heavy, and Opus 5.\" width=\"1080\" height=\"500\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, 100vw\">\n<\/picture>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section><h2 class=\"wp-block-heading\">Our test setup: the same briefing for every model<\/h2><p class=\"wp-block-paragraph\">For our test, we asked each AI model to create a landing page for a quantum computing company. To keep the results fairly comparable, every model received exactly the same prompt and no additional design guidelines:<\/p><blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Create a mind-blowing, highly imaginative single-file HTML\/CSS\/JS landing page for my quantum computing startup. Maximize visual impact with advanced animations, particle systems, interactive quantum effects (qubits, entanglement, superposition), and bold futuristic design. Make it immersive and unforgettable &mdash; nothing simple or basic.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/blockquote><h2 class=\"wp-block-heading\">Grok 4.5 Heavy: fast and visually convincing<\/h2><section class=\"custom-theme-block image-full-container theme-image-full-container block-padding-middle\">\n    <div class=\"container\">\n        <div class=\"row\">\n            <div class=\"col-12\">\n                <div class=\"image-wrapper\">\n                    <script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"ImageObject\",\"contentUrl\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-grok-desktop-1440x900-1.avif\",\"url\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-grok-desktop-1440x900-1.avif\",\"width\":896,\"height\":1920,\"caption\":\"Das Landingpage-Ergebnis von Grok 4.5 Heavy in unserem KI-Vergleich.\"}<\/script>\n\n<picture>\n    <img src=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-grok-desktop-1440x900-1.avif\" srcset=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-grok-desktop-1440x900-1.avif 1x, https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-grok-desktop-1440x900-1.avif 2x\" alt=\"Desktop view of the Aetherion landing page created with Grok 4.5 Heavy, with a blue and violet particle field and quantum lab.\" title=\"Das Landingpage-Ergebnis von Grok 4.5 Heavy in unserem KI-Vergleich.\" width=\"896\" height=\"1920\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, 100vw\">\n<\/picture>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section><p class=\"wp-block-paragraph\">Our first candidate is Grok with the AETHERION landing page, which conveys a modern, technological impression with its neon blue and pink color palette. The animated particle network in the hero area creates a strong first impression, while the interactive quantum lab gives the page a tangible product character. On desktop, the layout feels balanced; on mobile devices, the content is arranged cleanly in a single column without horizontal overflow. Only the hero background feels somewhat overloaded in places, which costs smaller text some readability. Overall the design is well done, but for a landing page the amount of content and the variety of sections fall a little short.<\/p><p class=\"wp-block-paragraph\">Grok 4.5 Super Heavy is particularly suited to projects that need to be finished quickly and then developed further by hand. The model delivers a strong design foundation; for a more extensive landing page, however, copy, company information, and trust-building content have to be added afterwards. I especially liked how fast it worked, and overall I consider the result a success.<\/p><p class=\"wp-block-paragraph\">Grok&rsquo;s AETHERION landing page was built as a single index.html file with HTML5, hand-written CSS3, and vanilla JavaScript. Of the roughly 53 KB, about 18 KB is CSS and 28 KB is JavaScript. The design uses CSS Grid, Flexbox, variables, media queries, gradients, and animations; the visual simulations rely on two Canvas 2D surfaces, requestAnimationFrame, and pointer events. Since neither React, Vue, jQuery, Bootstrap, Tailwind nor external fonts are used, the page remains independent and light in terms of network load. Playwright is used exclusively for automated testing and is never delivered to visitors&rsquo; browsers. Comparing 280 particles in every single frame, however, causes unnecessarily high CPU load, especially on mobile devices.<\/p><h2 class=\"wp-block-heading\">Kimi K3 Max: strong desktop design with mobile weaknesses<\/h2><section class=\"custom-theme-block image-full-container theme-image-full-container block-padding-middle\">\n    <div class=\"container\">\n        <div class=\"row\">\n            <div class=\"col-12\">\n                <div class=\"image-wrapper\">\n                    <script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"ImageObject\",\"contentUrl\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-kimi-k3-desktop-1440x900-1.avif\",\"url\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-kimi-k3-desktop-1440x900-1.avif\",\"width\":367,\"height\":1920,\"caption\":\"Das Ergebnis von Kimi K3 Max in unserem KI-Design- und Coding-Test.\"}<\/script>\n\n<picture>\n    <img src=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-kimi-k3-desktop-1440x900-1.avif\" srcset=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-kimi-k3-desktop-1440x900-1.avif 1x, https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-kimi-k3-desktop-1440x900-1.avif 2x\" alt=\"Desktop view of the quantum computing landing page created with Kimi K3 Max, with neon typography and qubit visualisations.\" title=\"Das Ergebnis von Kimi K3 Max in unserem KI-Design- und Coding-Test.\" width=\"367\" height=\"1920\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, 100vw\">\n<\/picture>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section><p class=\"wp-block-paragraph\">Our second candidate is Kimi K3 Max with the QUBITICA landing page, which feels very powerful and cinematic on desktop thanks to its large-scale typography, neon colors, and numerous interactive areas. Compared to Grok, the content is considerably more extensive: features, quantum experiments, technical metrics, and a roadmap make the landing page feel more complete. On mobile devices, however, the design cannot hold this level. Parts of the headlines extend beyond the screen, some content gets cut off, and smaller text is hard to read. What convinces me most here is the desktop version; before a release, though, the mobile rendering, the copy, and a few very ambitious claims would need manual rework.<\/p><p class=\"wp-block-paragraph\">Kimi K3&rsquo;s QUBITICA landing page was built as a single index.html file with HTML5, hand-written CSS3, and vanilla JavaScript. Of the roughly 52 KB, about 20 KB is CSS and another 20 KB is JavaScript. The design uses CSS Grid, Flexbox, variables, media queries, a custom cursor, a loading screen, gradients, and numerous animation effects. Six Canvas 2D surfaces render, among other things, a star system, particle streams, a Bloch sphere, entanglement, and superposition, controlled with requestAnimationFrame, IntersectionObserver, and pointer events. React, Vue, jQuery, Bootstrap, or Tailwind are not used; the fonts Syne, Space Grotesk, and JetBrains Mono, however, are loaded externally via Google Fonts. Although the source file appears small, the external font requests, the artificial loading screen, and the animation loops running in parallel increase the page&rsquo;s actual load. Headlines extending beyond the screen in the mobile view also show that the responsive CSS needs further work.<\/p><h2 class=\"wp-block-heading\">ChatGPT Sol Ultra: controlled design and strong browser performance<\/h2><section class=\"custom-theme-block image-full-container theme-image-full-container block-padding-middle\">\n    <div class=\"container\">\n        <div class=\"row\">\n            <div class=\"col-12\">\n                <div class=\"image-wrapper\">\n                    <script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"ImageObject\",\"contentUrl\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-codex-desktop-1440x900-1.jpg\",\"url\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-codex-desktop-1440x900-1.jpg\",\"width\":291,\"height\":1920,\"caption\":\"Das Ergebnis von ChatGPT Sol Ultra in unserem Design- und Coding-Test.\"}<\/script>\n\n<picture>\n    <img src=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-codex-desktop-1440x900-1.jpg\" srcset=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-codex-desktop-1440x900-1.jpg 1x, https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-codex-desktop-1440x900-1.jpg 2x\" alt=\"Desktop view of the quantum computing landing page created with ChatGPT Sol Ultra, with a minimalist design and large typography.\" title=\"Das Ergebnis von ChatGPT Sol Ultra in unserem Design- und Coding-Test.\" width=\"291\" height=\"1920\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, 100vw\">\n<\/picture>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section><p class=\"wp-block-paragraph\"><\/p><p class=\"wp-block-paragraph\">Our third candidate is ChatGPT SOL Ultra with the Q\/NTM landing page, which uses a more controlled, editorial, and business-oriented design language than the previous examples. The black background, large white-and-violet typography, turquoise details, and acid-green action areas create a clear visual hierarchy. On desktop, generous spacing and alternating section structures give the narrative rhythm, while the light &ldquo;Physics in Evidence Out&rdquo; area effectively breaks up the long dark design. On mobile devices, headlines, cards, the simulation, and buttons are arranged cleanly in a single column without unintended overflow or clipping. The page is very long, though, some small low-contrast text is hard to read, and the central contact option appears relatively late.<\/p><p class=\"wp-block-paragraph\">The Q\/NTM browser page consists of a single index.html file with 3,471 lines and roughly 104 KB, of which about 57 KB is hand-written CSS3 and 25 KB vanilla JavaScript. No external JavaScript files, stylesheets, fonts, or React packages are loaded; the entire page is delivered as one document request and can be compressed to roughly 20 KB. The CSS uses Grid, Flexbox, responsive layouts for 980 and 720 pixels, focus-visible, a mobile menu, and full support for prefers-reduced-motion. On the JavaScript side there is a single Canvas 2D surface, an adaptive QuantumField with 74 particles on mobile and a maximum of 170 on desktop, IntersectionObserver, animation pausing via visibilitychange, Web Audio, a native dialog element, and a working two-qubit simulation. The project folder does contain a development environment of roughly 757 MB with Next, React, Vinext, Vite, Cloudflare, Tailwind, TypeScript, and Drizzle, but none of it is delivered to visitors&rsquo; browsers; the server simply returns the HTML file unchanged. Browser performance is therefore very good, but for a Laravel or static deployment the surrounding development infrastructure is oversized, and the large single file is harder to maintain in the long run.<\/p><h2 class=\"wp-block-heading\">Claude Opus 5: the overall winner of our comparison<\/h2><section class=\"custom-theme-block image-full-container theme-image-full-container block-padding-middle\">\n    <div class=\"container\">\n        <div class=\"row\">\n            <div class=\"col-12\">\n                <div class=\"image-wrapper\">\n                    <script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"ImageObject\",\"contentUrl\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-opus-5-desktop-1440x900-2.jpg\",\"url\":\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-opus-5-desktop-1440x900-2.jpg\",\"width\":247,\"height\":1920,\"caption\":\"Das Ergebnis von Claude Opus 5 Ultracode und der Gesamtsieger unseres Vergleichs.\"}<\/script>\n\n<picture>\n    <img src=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-opus-5-desktop-1440x900-2.jpg\" srcset=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-opus-5-desktop-1440x900-2.jpg 1x, https:\/\/4eck-media.de\/wp-content\/uploads\/2026\/07\/quantum-opus-5-desktop-1440x900-2.jpg 2x\" alt=\"Desktop view of the Hilbert landing page created with Claude Opus 5 Ultracode, with quantum simulations and a technical user interface.\" title=\"Das Ergebnis von Claude Opus 5 Ultracode und der Gesamtsieger unseres Vergleichs.\" width=\"247\" height=\"1920\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, 100vw\">\n<\/picture>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section><p class=\"wp-block-paragraph\">Our fourth and final candidate, Claude Opus 5 (Ultracode), is also the overall winner of our comparison. On desktop, the strong typography, controlled gradients, and generous white space give the brand the character of a high-end research lab. The Bloch sphere, double-slit experiment, entanglement test, and circuit simulator do not just explain the product, they make it visually tangible. On mobile devices, the hierarchy and brand identity are essentially preserved, but the result is not flawless: the double-slit and entanglement visualizations remain about 600 pixels wide internally and are therefore partially cut off inside the narrower cards; some technical text and controls are also too small. Despite the considerable page length, Opus 5 combines design, content, and interaction most convincingly, which makes it my visual favorite and the winner of this test.<\/p><p class=\"wp-block-paragraph\">Technically, Opus 5 delivers a very extensive implementation in pure vanilla HTML, CSS, and JavaScript, without frameworks, external libraries, or webfonts. The single file spans roughly 2,771 lines or 127.6 KB and combines WebGL, six Canvas 2D scenes, real state-vector calculations, a CHSH test, and a working three-qubit circuit simulator. This scope comes at a price, though: Opus 5 is also one of the heaviest and most maintenance-intensive solutions in the comparison. The permanent animations can strain processor and battery on mobile devices, the artificial preloader needlessly delays an otherwise fast-loading page by more than two seconds, and the double-slit and entanglement visualizations are partially cut off on mobile. Opus 5 is therefore neither the fastest nor the lightest or most flawless responsive solution, but it wins the overall comparison through its technical depth, working interactions, and convincing visual presentation.<\/p><h2 class=\"wp-block-heading\">The landing pages in a live test<\/h2><p class=\"wp-block-paragraph\">If you would like to try the landing pages from our comparison yourself, you can find the live versions of <a href=\"https:\/\/4eckmedia.github.io\/ai-model-compare\/grok_heavy.html\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Grok 4.5 Heavy<\/a>, <a href=\"https:\/\/4eckmedia.github.io\/ai-model-compare\/kimi-k3.html\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Kimi K3 Max<\/a>, <a href=\"https:\/\/4eckmedia.github.io\/ai-model-compare\/sol.html\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">OpenAI Sol Ultra (Codex)<\/a> and <a href=\"https:\/\/4eckmedia.github.io\/ai-model-compare\/opus5.html\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Claude Opus 5 Ultracode<\/a> here.<\/p><h2 class=\"wp-block-heading\">Why we test AI and new technologies regularly<\/h2><p class=\"wp-block-paragraph\">The comparison published here is just one of many technology and design tests we run regularly at our company. Our team tests different AI models, MCP servers, design approaches, and development methods, analyzes current benchmark results, and creates manual design variants alongside AI-generated solutions. Our goal is not just to find out which tool scores highest, but to find the solution that actually fits each project and each client.<\/p><p class=\"wp-block-paragraph\">We decided to publish this particular test because its results are easy to compare visually. Our <strong>tests of MCP servers, integrations, automations<\/strong> and technical background processes are at least as important, but they produce far less visible material and can feel somewhat more technical to readers. This experiment, by contrast, shows directly how differently various tools execute the same job in terms of design, code, speed, and user experience.<\/p><p class=\"wp-block-paragraph\">Testing new technologies creates additional costs for licenses, infrastructure, token usage, and our specialists&rsquo; working time. We still regard this spending as an investment. We do not adopt new tools uncritically: we measure their performance, compare the results, probe their limits, and only integrate them into our processes once they offer our clients real added value. After all, only someone who has used and honestly evaluated a tool can pick the best one for a project.<\/p><h2 class=\"wp-block-heading\">Overall rating from a business perspective<\/h2><p class=\"wp-block-paragraph\">The following overview summarizes our overall rating of the four landing pages. We considered brand impact, product presentation, technical implementation, and quality on desktop and mobile devices.<\/p><figure id=\"gesamtwertung\" class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Rank<\/th><th>Model and landing page<\/th><th>Key strength<\/th><th>Biggest weakness<\/th><th>Overall rating<\/th><\/tr><\/thead><tbody><tr><td>1<\/td><td>Claude Opus 5 (HILBERT)<\/td><td>Strongest combination of brand impact, product presentation, and interactive demonstrations<\/td><td>High technical load and minor mobile rendering issues<\/td><td>9.4<\/td><\/tr><tr><td>2<\/td><td>ChatGPT Sol Ultra (Q\/NTM)<\/td><td>Most distinctive brand system and controlled, business-oriented design<\/td><td>Very long page; the contact option appears relatively late<\/td><td>9.0<\/td><\/tr><tr><td>3<\/td><td>Grok 4.5 Heavy (AETHERION)<\/td><td>Fast implementation, clear impact, and reliable mobile rendering<\/td><td>A bit little content for a complete company site<\/td><td>8.1<\/td><\/tr><tr><td>4<\/td><td>Kimi K3 Max (QUBITICA)<\/td><td>Powerful desktop impact and numerous visual demonstrations<\/td><td>Headlines and content are partially cut off on mobile<\/td><td>7.6<\/td><\/tr><\/tbody><\/table><\/figure><h2 class=\"wp-block-heading\">Rating by visual criteria<\/h2><p class=\"wp-block-paragraph\">For the visual rating, we looked at the first impression, trust for business clients, brand distinctiveness, and the quality of the desktop and mobile rendering.<\/p><figure id=\"visuelle-bewertung\" class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Criterion<\/th><th>Grok<\/th><th>Kimi K3<\/th><th>ChatGPT Sol<\/th><th>Claude Opus 5<\/th><th>Winner<\/th><\/tr><\/thead><tbody><tr><td>First impression<\/td><td>9<\/td><td>8<\/td><td>9<\/td><td>10<\/td><td>Claude Opus 5<\/td><\/tr><tr><td>Trust for business clients<\/td><td>8<\/td><td>7<\/td><td>9<\/td><td>10<\/td><td>Claude Opus 5<\/td><\/tr><tr><td>Brand distinctiveness<\/td><td>8<\/td><td>8<\/td><td>10<\/td><td>9<\/td><td>ChatGPT Sol<\/td><\/tr><tr><td>Desktop quality<\/td><td>8<\/td><td>8<\/td><td>9<\/td><td>10<\/td><td>Claude Opus 5<\/td><\/tr><tr><td>Mobile rendering<\/td><td>9<\/td><td>6<\/td><td>9<\/td><td>8<\/td><td>Grok \/ ChatGPT Sol<\/td><\/tr><tr><td>Overall editorial rating<\/td><td>8.1<\/td><td>7.6<\/td><td>9.0<\/td><td>9.4<\/td><td>Claude Opus 5<\/td><\/tr><\/tbody><\/table><\/figure><h2 class=\"wp-block-heading\">Technical comparison of the landing pages<\/h2><p class=\"wp-block-paragraph\">All four landing pages were implemented with HTML, CSS, and vanilla JavaScript. They still differ considerably in file size, graphics technology, external dependencies, runtime load, and maintenance effort.<\/p><figure id=\"technischer-vergleich\" class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Feature<\/th><th>Grok 4.5<\/th><th>Kimi K3<\/th><th>ChatGPT Sol<\/th><th>Claude Opus 5<\/th><\/tr><\/thead><tbody><tr><td>HTML file size<\/td><td>approx. 53 KB<\/td><td>approx. 52 KB<\/td><td>approx. 104 KB<\/td><td>approx. 127.6 KB<\/td><\/tr><tr><td>CSS \/ JavaScript<\/td><td>approx. 18 \/ 28 KB<\/td><td>approx. 20 \/ 20 KB<\/td><td>approx. 57 \/ 25 KB<\/td><td>approx. 36 \/ 68.7 KB<\/td><\/tr><tr><td>Canvas surfaces<\/td><td>2<\/td><td>6<\/td><td>1<\/td><td>7<\/td><\/tr><tr><td>WebGL<\/td><td>No<\/td><td>No<\/td><td>No<\/td><td>Yes<\/td><\/tr><tr><td>External dependencies<\/td><td>None<\/td><td>Google Fonts<\/td><td>None<\/td><td>None<\/td><\/tr><tr><td>Responsive CSS<\/td><td>Basic<\/td><td>Needs improvement<\/td><td>Very well implemented<\/td><td>Extensive, but not flawless<\/td><\/tr><tr><td>Runtime load<\/td><td>Medium<\/td><td>High<\/td><td>Low<\/td><td>Very high<\/td><\/tr><tr><td>Maintenance effort<\/td><td>Low<\/td><td>Medium<\/td><td>Medium<\/td><td>High<\/td><\/tr><tr><td>Technical highlight<\/td><td>Light, independent implementation<\/td><td>Many effects in a small file<\/td><td>Efficient animation and strong browser structure<\/td><td>WebGL and extensive quantum simulations<\/td><\/tr><\/tbody><\/table><\/figure><h2 class=\"wp-block-heading\">Measured local load times<\/h2><p class=\"wp-block-paragraph\">The following values were measured in a local Chromium environment. They show how quickly the individual pages loaded and first became visible under the same test conditions.<\/p><figure id=\"ladezeiten\" class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Landing page<\/th><th>DOM Content Loaded<\/th><th>Load<\/th><th>First Contentful Paint<\/th><th>Verdict<\/th><\/tr><\/thead><tbody><tr><td>AETHERION (Grok)<\/td><td>approx. 39 ms<\/td><td>approx. 39 ms<\/td><td>approx. 152 ms<\/td><td>Fast and fully self-contained<\/td><\/tr><tr><td>QUBITICA (Kimi K3)<\/td><td>approx. 341 ms<\/td><td>approx. 568 ms<\/td><td>approx. 340 ms<\/td><td>External fonts slow down the start<\/td><\/tr><tr><td>Q\/NTM (ChatGPT Sol)<\/td><td>approx. 27 ms<\/td><td>approx. 27 ms<\/td><td>approx. 60 ms<\/td><td>Fastest visible rendering<\/td><\/tr><tr><td>HILBERT&#10217; (Claude Opus 5)<\/td><td>approx. 83 ms<\/td><td>approx. 83 ms<\/td><td>approx. 124 ms<\/td><td>Fast start, but high continuous GPU load<\/td><\/tr><\/tbody><\/table><\/figure><p class=\"wp-block-paragraph\"><em>Note: the values were measured locally and without network throttling. They serve as a relative comparison and are not guaranteed production values.<\/em><\/p><h2 class=\"wp-block-heading\">Which model suits which goal?<\/h2><p class=\"wp-block-paragraph\">The best choice does not depend on the overall rating alone. Depending on the business goal, technical requirements, and desired maintenance effort, a different model can be the more sensible solution.<\/p><figure id=\"einsatzempfehlung\" class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Business or technical goal<\/th><th>Best choice<\/th><th>Reasoning<\/th><\/tr><\/thead><tbody><tr><td>Impressive deep-tech company page<\/td><td>Claude Opus 5<\/td><td>Feels like a real, already functional high-tech product<\/td><\/tr><tr><td>Fundraising or investor presentation<\/td><td>Claude Opus 5<\/td><td>Combines prestige, technical metrics, and product evidence<\/td><\/tr><tr><td>Distinctive rebranding or design case study<\/td><td>ChatGPT Sol<\/td><td>Has the clearest and most distinctive visual system<\/td><\/tr><tr><td>Best overall technical structure<\/td><td>ChatGPT Sol<\/td><td>Very fast rendering, efficient animation, and clean mobile implementation<\/td><\/tr><tr><td>Lightweight landing page for Laravel or static hosting<\/td><td>Grok<\/td><td>Small, self-contained file with comparatively low maintenance effort<\/td><\/tr><tr><td>Waitlist or easy-to-understand product introduction<\/td><td>Grok<\/td><td>Friendly communication and reliable mobile rendering<\/td><\/tr><tr><td>Maximum interactivity and WebGL demonstration<\/td><td>Claude Opus 5<\/td><td>Most extensive and technically most impressive simulations<\/td><\/tr><tr><td>Smallest HTML file<\/td><td>Kimi K3<\/td><td>Smallest source file, but with mobile and external font drawbacks<\/td><\/tr><tr><td>Lowest risk for a fast release<\/td><td>Grok<\/td><td>Few critical rendering issues and manageable technology<\/td><\/tr><tr><td>Expansion into a larger product application<\/td><td>ChatGPT Sol<\/td><td>The project already includes a larger app infrastructure<\/td><\/tr><\/tbody><\/table><\/figure><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What was tested in this AI comparison?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Four AI models were given the task of developing a landing page for a fictional quantum computing company. We evaluated visual quality, desktop and mobile rendering, technical implementation, interactions, processing time, and token consumption.\"}},{\"@type\":\"Question\",\"name\":\"Which AI models took part?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"We compared Kimi K3 (Max), Grok 4.5 (Heavy), ChatGPT Sol (Ultra), and Claude Opus 5 (Ultracode).\"}},{\"@type\":\"Question\",\"name\":\"Did all models receive the same task?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"All models worked from the same core briefing and were expected to produce a comparable end product. The test is not a standardized scientific benchmark, however, but a practical comparison. The differing need for additional instructions also fed into our evaluation.\"}},{\"@type\":\"Question\",\"name\":\"Can the results be transferred to any project?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. The results relate to this specific task, the briefing used, and the model variants tested. 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Our designers are convinced they can develop considerably more individual, more strategic, and higher-quality solutions. That is why we regard AI not as a replacement for human experience, but as a supporting tool that can accelerate creative and technical processes.\"}},{\"@type\":\"Question\",\"name\":\"Why does the company invest in tests like these?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"New technologies create costs for licenses, infrastructure, tokens, and our specialists&#8217; working time. We still regard these tests as an important investment. Only by using new tools ourselves, comparing them, and knowing their limits can we make well-founded technology choices for our clients.\"}}]}<\/script><section class=\"custom-theme-block faq theme-faq alternative block-padding-middle\">\n    <div class=\"container\">\n        <div class=\"row\">\n                        <div class=\"col-lg-5 col-xl-4 left-side\">\n                                    \n<picture>\n    <img src=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2025\/11\/Matthias_Petri-960x1440.avif\" srcset=\"https:\/\/4eck-media.de\/wp-content\/uploads\/2025\/11\/Matthias_Petri-960x1440.avif 960w, https:\/\/4eck-media.de\/wp-content\/uploads\/2025\/11\/Matthias_Petri-1920x2880.avif 1920w, https:\/\/4eck-media.de\/wp-content\/uploads\/2025\/11\/Matthias_Petri-720x1080.avif 720w, https:\/\/4eck-media.de\/wp-content\/uploads\/2025\/11\/Matthias_Petri-1440x2160.avif 1440w, https:\/\/4eck-media.de\/wp-content\/uploads\/2025\/11\/Matthias_Petri-480x720.avif 480w, https:\/\/4eck-media.de\/wp-content\/uploads\/2025\/11\/Matthias_Petri-320x480.avif 320w, https:\/\/4eck-media.de\/wp-content\/uploads\/2025\/11\/Matthias_Petri-640x960.avif 640w, https:\/\/4eck-media.de\/wp-content\/uploads\/2025\/11\/Matthias_Petri-214x320.avif 214w\" alt=\"Matthias Petri, Managing Director of the agency 4eck Media.\" title=\"Matthias Petri, Managing Director of the agency 4eck Media.\" width=\"960\" height=\"1440\" sizes=\"(min-width: 1710px) 423px, (min-width: 1200px) 423px, (min-width: 992px) 38vw, (min-width: 768px) 50vw, 100vw\" loading=\"eager\" fetchpriority=\"high\" decoding=\"async\">\n<\/picture>\n                \n                <div class=\"contact\">\n                    <span class=\"help-text\">\n                        Questions?                                            <\/span>\n                                            <div class=\"contact-person\">Contact: <span>Matthias Petri<\/span><\/div>\n                                                                <div class=\"contact-phone\">Phone number:\n                            <a href=\"tel:+4939917787032\" title=\"Answers\">\n                                +49 3991 7787032                            <\/a>\n                        <\/div>\n                                    <\/div>\n            <\/div>\n                        <div class=\"col-lg-7 col-xl-8 right-side\">\n                                    <h2 class=\"h2\">Frequently asked questions about our services<\/h2>                                <div class=\"faqs\">\n                                                                        <div class=\"faq faq-0\">\n                                <div class=\"question\" data-faq-index=\"0\">\n                                    <div>What was tested in this AI comparison?<\/div>\n                                    <div class=\"d-none d-lg-block\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                                <div class=\"answer\">\n                                    <div><p>Four AI models were given the task of developing a landing page for a fictional quantum computing company. We evaluated visual quality, desktop and mobile rendering, technical implementation, interactions, processing time, and token consumption.<\/p>\n<\/div>\n                                    <div class=\"d-block d-lg-none\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                            <\/div>\n                                                    <div class=\"faq faq-1\">\n                                <div class=\"question\" data-faq-index=\"1\">\n                                    <div>Which AI models took part?<\/div>\n                                    <div class=\"d-none d-lg-block\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                                <div class=\"answer\">\n                                    <div><p>We compared Kimi K3 (Max), Grok 4.5 (Heavy), ChatGPT Sol (Ultra), and Claude Opus 5 (Ultracode).<\/p>\n<\/div>\n                                    <div class=\"d-block d-lg-none\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                            <\/div>\n                                                    <div class=\"faq faq-2\">\n                                <div class=\"question\" data-faq-index=\"2\">\n                                    <div>Did all models receive the same task?<\/div>\n                                    <div class=\"d-none d-lg-block\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                                <div class=\"answer\">\n                                    <div><p>All models worked from the same core briefing and were expected to produce a comparable end product. The test is not a standardized scientific benchmark, however, but a practical comparison. The differing need for additional instructions also fed into our evaluation.<\/p>\n<\/div>\n                                    <div class=\"d-block d-lg-none\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                            <\/div>\n                                                    <div class=\"faq faq-3\">\n                                <div class=\"question\" data-faq-index=\"3\">\n                                    <div>Can the results be transferred to any project?<\/div>\n                                    <div class=\"d-none d-lg-block\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                                <div class=\"answer\">\n                                    <div><p>No. The results relate to this specific task, the briefing used, and the model variants tested. Other requirements or prompts can lead to considerably different outcomes. That is why we repeat tests like this regularly.<\/p>\n<\/div>\n                                    <div class=\"d-block d-lg-none\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                            <\/div>\n                                                    <div class=\"faq faq-4\">\n                                <div class=\"question\" data-faq-index=\"4\">\n                                    <div>Why was this particular test published?<\/div>\n                                    <div class=\"d-none d-lg-block\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                                <div class=\"answer\">\n                                    <div><p>The differences between the results can be seen directly in the landing pages. Many of our other tests concern MCP servers, integrations, automations, or technical processes. Those are just as important, but they offer less material for a vivid visual comparison.<\/p>\n<\/div>\n                                    <div class=\"d-block d-lg-none\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                            <\/div>\n                                                    <div class=\"faq faq-5\">\n                                <div class=\"question\" data-faq-index=\"5\">\n                                    <div>Does your company create designs exclusively with artificial intelligence?<\/div>\n                                    <div class=\"d-none d-lg-block\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                                <div class=\"answer\">\n                                    <div><p>No. Our design team also develops manual alternatives and evaluates the AI-generated results with its own professional expertise. In fact, none of the work produced in this test met our team&rsquo;s final quality standards. Our designers are convinced they can develop considerably more individual, more strategic, and higher-quality solutions. That is why we regard AI not as a replacement for human experience, but as a supporting tool that can accelerate creative and technical processes.<\/p>\n<\/div>\n                                    <div class=\"d-block d-lg-none\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                            <\/div>\n                                                    <div class=\"faq faq-6\">\n                                <div class=\"question\" data-faq-index=\"6\">\n                                    <div>Why does the company invest in tests like these?<\/div>\n                                    <div class=\"d-none d-lg-block\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                                <div class=\"answer\">\n                                    <div><p>New technologies create costs for licenses, infrastructure, tokens, and our specialists&rsquo; working time. We still regard these tests as an important investment. Only by using new tools ourselves, comparing them, and knowing their limits can we make well-founded technology choices for our clients.<\/p>\n<\/div>\n                                    <div class=\"d-block d-lg-none\">\n                                        <svg class=\"icon default-angle-right \" role=\"presentation\"><use href=\"#default-angle-right\"><use><\/use><\/use><\/svg>                                    <\/div>\n                                <\/div>\n                            <\/div>\n                                                            <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>We have seen plenty of benchmark results, performance comparisons, and ambitious claims about AI models. Since we always want to use the [&hellip;]<\/p>\n","protected":false},"featured_media":17710,"template":"","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"AI models for landing pages compared","_yoast_wpseo_title":"Best AI Models in a Coding Test (July 2026)","_yoast_wpseo_metadesc":"AI models for landing pages compared: Grok, Kimi, ChatGPT, and Claude in a hands-on test of design, code, load time, and mobile quality.","_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","_foureck_ai_chatbot_priority":5,"_title":"","title":"","_description":"","description":"","_thumbnail":"","thumbnail":"","_image":"","image":"","previewColor":"","_previewColor":"","previewColor2":"","_previewColor2":"","_subtitle":"","subtitle":"","_benefit":"","benefit":"","_color":"","color":"","_titleForGallery":"","titleForGallery":"","_subtitleForGallery":"","subtitleForGallery":"","_imageForGallery":"","imageForGallery":"","_client":"","client":"","_service":"","service":"","_cooperationSince":"","cooperationSince":"","name":"","_name":"","author":"","_author":"","company":"","_company":"","text":"","_text":"","position":"","_position":"","_yoast_wpseo_metakeywords":""},"blog_category":[],"class_list":["post-17704","blog","type-blog","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Best AI Models in a Coding Test (July 2026)<\/title>\n<meta name=\"description\" content=\"AI models for landing pages compared: Grok, Kimi, ChatGPT, and Claude in a hands-on test of design, code, load time, and mobile quality.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/4eck-media.de\/en\/blog\/best-ai-models-in-a-coding-test-july-2026\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best AI Models in a Coding Test (July 2026)\" \/>\n<meta property=\"og:description\" content=\"AI models for landing pages compared: Grok, Kimi, ChatGPT, and Claude in a hands-on test of design, code, load time, and mobile quality.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/4eck-media.de\/en\/blog\/best-ai-models-in-a-coding-test-july-2026\/\" \/>\n<meta property=\"og:site_name\" content=\"4eck Media\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-29T08:35:31+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"11 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/4eck-media.de\\\/en\\\/blog\\\/best-ai-models-in-a-coding-test-july-2026\\\/#webpage\",\"headline\":\"Best AI Models in a Coding Test (July 2026)\",\"description\":\"We have seen plenty of benchmark results, performance comparisons, and ambitious claims about AI models. 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