700 AI-generated landing pages, judged
Same brief, different model, real output. Each page was generated as HTML, rendered on desktop and mobile, and graded by a vision judge. Nothing is mocked up — click any card to see the render and what the judge said.
See the full ranking on the Frontend & Landing Pages leaderboard.
Claude Opus 4.8 vs qwen3.5 Plus 02 15 (6 shared briefs, biggest score gap first)
Comparing best render per brief. Remove a model (×) to go back to the grid.
Northwind — B2B SaaS landing page
score gap 5Lumen Health — compliance-careful healthtech
score gap 2Cedar & Sage — DTC product page
score gap 2Glow & Grain — local bakery site (non-tech)
score gap 1Tradewinds — marketplace pricing
score gap 1Ferrovia — enterprise pricing tiers
score gap 1How these were made and judged
Each model received the same landing-page brief (a fictional company from our shared benchmark universe) and produced a single self-contained HTML page. We rendered every page at desktop and mobile sizes and had a vision judge grade the screenshots against the brief — hierarchy, copy, credibility, and conversion basics. Scores and judge quotes are unedited. Full methodology on the collection page.
This page is Spring Prompt, running
We just did this for every model. Do it for your prompt.
The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.
- Generate test cases from your prompt — no eval set required to start.
- Compare models side by side with quality, cost and latency in one matrix.
- Optimise the winner until the scores say it's ready to ship.
Prompt × model results
12 test cases · 3 evals