Skip to content
GlanceHall
  • Builds
  • Models
  • Compare
  • How we test
Get the next round
  • Builds
  • Models
  • Compare
  • How we test
  • Journal
  • About
Get the next round

We don't rate. We let you see.

contact@glancehall.com

Watch

  • All builds
  • Models
  • Head to head
  • Journal

Trust

  • How we test
  • About
  • FAQ
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
© 2026 GlanceHallIndependent. Not affiliated with Anthropic, OpenAI or any model vendor.
Journal/Head-to-head

Claude vs ChatGPT, side by side: the same 8 briefs, built by both

Claude's two models and ChatGPT's two models got identical prompts, one attempt each and no edits. Watch the pages, dashboards, apps and games they built, then decide.

By GlanceHall · Published October 22, 2026 · 4 min read

Claude vs ChatGPT is the most searched comparison in AI, and almost every answer to it is a feature list. This page is not. Claude's two current models and ChatGPT's two current models were handed the same eight briefs, word for word, one attempt each, nothing fixed afterwards. What they built is playing below. Pick a brief, watch all four at once, open any build, and decide with your own eyes.

SaaS landing page · same prompt, one shot, unedited
Blind testOpen side by side
Claude Opus 5.5
Open Claude Opus 5.5’s build
Claude Fable 5.1
Open Claude Fable 5.1’s build
GPT-6 Astra
Open GPT-6 Astra’s build
GPT-6.1 Sol
Open GPT-6.1 Sol’s build

Driftwood, a fictional scheduling app. Same prompt, four landing pages, desktop recordings scrolled at the same speed.

What is actually being compared?

Four models, not two chat windows. On the Claude side: Claude Opus 5.5 and Claude Fable 5.1, both at maximum effort inside Claude Code. On the ChatGPT side: GPT-6 Astra and GPT-6.1 Sol, both at extra-high reasoning inside OpenAI's Codex CLI. Each brief fixes the content, so the differences you see come from execution. The exact commands, the 150-minute cap and the recording scripts are on the methodology page.

Where do the differences show first?

In time and volume, before you see a pixel. On the landing page, Opus 5.5 worked for 43 minutes and Fable 5.1 for 28; GPT-6 Astra took 10 and GPT-6.1 Sol 9. That pattern holds on every brief: across the eight, the Claude models took roughly 2 to 11 times as long as the GPT models and wrote roughly 2.5 to 12 times as many output tokens. Whether that time buys a better build is what the recordings let you check.

The second difference is harder to see from a feature list. The two GPT builds keep landing on the same idea. Their landing pages are headlined "Less busy. More in flow." and "Less busy. More you.", share a terracotta accent and end the hero with the same strip of integration logos. Both physics simulations are called Kinetic. Both shooters are called Dead Signal and Deadlink, and both put a door marked Relay in front of you. Asked to invent any product at all, both GPT models invented a small gadget for using your phone less. The two Claude models converge too, on the dashboard and the kanban board, but far less often, which is useful if you plan to ask for two options.

Minimalist workspace featuring dual monitors, keyboard, and a laptop on a clean desk.
Photo by Vizito Visitor Management System on Pexels.

Which builds the better website?

My read: the Claude pages look like a brand and the GPT pages look like a good template, and you will have to decide which of those you want. Opus 5.5 built a full booking widget into its hero, calendar and time slots included, and Fable 5.1 chose a single serif headline with the product shot underneath. Astra and Sol are cleaner and faster, and they are also more interchangeable. The open brief, where nothing was specified, is the sharpest test of taste.

Which builds the better dashboard or app?

On the analytics dashboard all four models computed identical figures from the fixed dataset, so the data handling is a wash and the craft is the whole story: Opus annotates the revenue peak and the average, Fable labels the best day, both let you flip the chart into a table, and the GPT builds choose calmer, greener palettes. The phone finance app and the kanban board test interaction, and all four models pass: every app sends $42.50 and updates the balance to $4,783.69, and every board drags, undoes and filters correctly. Claude Opus 5.5's app adds haptic feedback; the GPT boards add a friendly sidebar. The difference is time: Claude took 35 to 101 minutes on those two briefs, GPT 9 to 15.

Analytics dashboard · same prompt, one shot, unedited
Blind testOpen side by side
Claude Opus 5.5
Open Claude Opus 5.5’s build
GPT-6 Astra
Open GPT-6 Astra’s build

The same store data, two dashboards. Hover the chart and sort the table in the live builds.

Which builds the better game?

The shooter is where effort stops being an advantage. Opus 5.5 was still working when the 150-minute clock ran out, so its files were published as they stood; its arena is the most atmospheric of the four, a neon city at night, and its recording ends in a game over at 25 seconds. Fable finished in 75 minutes, Astra in 20 and Sol in 13. The GPT arenas are blockier and flatter, Sol's player also dies, at 35 seconds, and Astra survives the full 40-second script. The MOBA repeats it: two dense Claude lanes, both named Riftline, against two lighter GPT lanes.

How should you decide?

Not by reading this page: the honest answer to Claude vs ChatGPT is a comparison you run yourself, on your kind of work. Prices are public: Opus 5.5 costs $4 per million input tokens and $20 per million output tokens, Fable 5.1 costs $10 and $50 (Anthropic's model list), while GPT-6 Astra is $10 and $50 and GPT-6.1 Sol is $2 and $10 (OpenAI's Sol announcement). The cheapest model here built a working shooter in 13 minutes; watch it before deciding that is not enough.

Four dashboards, labels hidden. Pick the one you would ship, then reveal who built it.

Take the blind test
Two professionals working diligently on laptops in a modern office setup, capturing productivity and teamwork.
Photo by Felicity Tai on Pexels.

Frequently asked questions

Is this Claude vs ChatGPT, or Claude vs GPT-6?

Both. ChatGPT is the app; the models inside it in October 2026 are the GPT-6 family. We ran GPT-6 Astra and GPT-6.1 Sol through OpenAI's own coding agent, Codex, and Claude Opus 5.5 and Claude Fable 5.1 through Claude Code, so each vendor's models work the way their developers actually use them.

Did anyone fix or polish the builds before publishing?

No. Each model got one attempt per brief and whatever it left on disk is what you see, bugs included. The only retries we allow are for infrastructure failures such as a rate limit, and those are listed on the build page with their reason.

Why don't you just say which one is better?

Because "better" depends on what you are building and what you value, and a score hides that. The facts we publish are measurements such as time, size and runtime errors. The judgement is yours, and the blind test exists so your judgement is not steered by a logo.

Can I try the builds, not just watch them?

Yes. Every finished build opens in a sandbox on its own origin, exactly as the model wrote it. The Open links under each video take you there.

Judge the builds yourself.

Eight briefs, four models, nothing edited. Watch them side by side or take the blind test.

Watch the buildsHow we test

Keep reading

Head-to-headIs Claude better than ChatGPT? Decide in 60 seconds with a blind testIs Claude better than ChatGPT? Stop reading opinions and test it: four builds from the same prompt, names hidden, you pick before the reveal. Here is how, and what the builds show.October 22, 2026Head-to-headClaude vs ChatGPT for coding: the same briefs, one shot each, uneditedClaude vs ChatGPT for coding, measured: same prompts, one attempt, no edits. How each worked, how long it took, how much code it wrote and what broke, with every build open to inspect.October 22, 2026Head-to-headAnthropic vs OpenAI: whose flagship models build better? 32 builds, no scoresAnthropic vs OpenAI, judged by what their current models build: two Claude and two GPT-6 models on eight identical briefs. How the two companies' models and agents differ, and what that means for you.October 22, 2026