Page

Landing

Landing Page — modern marketing landing page (one-shot).

CategoryPage
Models tested5
Scored4/5
Avg score8.12/10
WinnerGLM-5.2

What I asked each model — the Landing prompt

Every model on this page got this exact prompt inside the Agent Operating System: Landing Page — modern marketing landing page (one-shot).

Single HTML file out. No iteration. No examples in the system prompt. Whatever each model produced on the first run is what's on this page. 5 frontier models have attempted it so far: GLM-5.2, Kimi K2.7, Opus 4.8, Qwen 3.7, Grok.

Why this task matters. Landing is a textbook test of page-class capability — the kind of build that exposes whether a model is doing pattern-matching or actual reasoning. Shipping this cleanly is the floor for what I expect from a frontier model — every model on the leaderboard should at least attempt it.

How each model handled Landing

Ranked by my 0–10 score from the source comparison guides on agentos.guide. Click any to play the actual one-shot HTML the model produced.

GLM-5.2 Zhipu / Z.ai
🥇 9.0/10 · tie · top

What I saw: Funniest result of the lot: GLM and Opus independently produced near-identical premium 'Introducing Nova 1 — Intelligence, reimagined / distilled' keynote pages — gradient hero, full nav, pricing tiers. A dead heat. Kimi's was a plainer set of feature cards.

▶ Play GLM-5.2's attempt →
Kimi K2.7 Moonshot AI
🥉 6.5/10

What I saw: Funniest result of the lot: GLM and Opus independently produced near-identical premium 'Introducing Nova 1 — Intelligence, reimagined / distilled' keynote pages — gradient hero, full nav, pricing tiers. A dead heat. Kimi's was a plainer set of feature cards.

▶ Play Kimi K2.7's attempt →
Opus 4.8 Anthropic
🥇 9.0/10 · tie · top

What I saw: Funniest result of the lot: GLM and Opus independently produced near-identical premium 'Introducing Nova 1 — Intelligence, reimagined / distilled' keynote pages — gradient hero, full nav, pricing tiers. A dead heat. Kimi's was a plainer set of feature cards.

▶ Play Opus 4.8's attempt →
Qwen 3.7 Alibaba
🥉 8.0/10

What I saw: GLM and Opus both produced premium gradient 'Intelligence, reimagined / distilled' keynote heroes — basically a tie. Qwen's is clean and well-built (proper nav + three feature cards) but the headline ('Built for the next generation of builders') lands flatter than the gradient heroes.

▶ Play Qwen 3.7's attempt →
Grok xAI
• unranked

Demo on the bench. Not scored yet — play it and form your own opinion.

▶ Play Grok's attempt →

The winner on Landing

GLM-5.2 took gold on this task. tie · top.

What I saw: Funniest result of the lot: GLM and Opus independently produced near-identical premium 'Introducing Nova 1 — Intelligence, reimagined / distilled' keynote pages — gradient hero, full nav, pricing tiers. A dead heat. Kimi's was a plainer set of feature cards.

See GLM-5.2's full model card: /models/glm.

How I scored Landing — methodology

Three axes, 0–10 each, averaged. Runs: drop the .html in a browser; if it opens to a broken page, it scores zero. Hits the brief: did the model ship the thing the prompt asked for, or a different thing it found easier. Looks good: visual polish, motion, interactivity — where most of the gap between gold and silver lives.

My scores trace back to the source comparison guides on agentos.guide. See the full methodology page for data provenance, including which source guide each cell's score came from.

The same stack Julian uses

Run this stack yourself.

Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 3,600+ founders shipping with it every day all live inside the AI Profit Boardroom.

3,600+founders
258documented wins
38countries
$100k+/mocommunity MRR