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GPT-6 Luna in a raw API call

raw API baseline

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Poster frame of GPT-6 Luna's page
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The model's own page, run in a sandboxed frame only when you ask (a page that needs its own origin opens in a new tab on a separate demo site). Phones get a full-screen player capped at 1.5x pixel density (2x on larger screens) so it stays smooth; the original page runs uncapped. Tap inside for sound.

Recorded from the live demo (stepped clock). Preview video recorded by this site from the live demo. The moving picture above is that preview; the button runs the real page.

OKKoi Pond Gardenhigh effortRaw baseline

Wall time 2m 40sCost not recorded: the run's token counts were never reported, so there is no estimate

Review

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Scores

AI judge

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No rubric for this prompt

Visitor votes and reviewer grades are not available yet.

AI judge
AI judge: the test runner (model claude-opus-5-5), scoring by visual review of the 1600 px render against the pre-registered rubric. No AI-judge score exists for this result: there is no rubric for this prompt, so no score is shown and none is made up.
Visitors
Public voting with a blind reveal is coming: you score the output first, then see the other scores.
Reviewer
The reviewer's own grade appears here once it is added.

Scores compare results for the same prompt only. AI-judge boards rank runs within one prompt, equal totals sharing a rank; scores from different prompts are never averaged.

Downloads

Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.

The exact prompt

as run, 2,080 characters. Every result for this prompt

Koi Pond Garden: A calm, interactive Japanese garden seen from above at a gentle three-quarter angle, centred on a koi pond. The water must read as clear and refractive: you can see the pebbled pond floor and the koi through it, distorted by soft ripples, with caustic light patterns moving across the bottom and a subtle surface reflection and sheen. At least seven koi with detailed, varied patterned skin (kohaku, showa, ogon, tancho and similar), flowing fins and tails, swim naturally in smooth, unhurried curves, avoid each other and the pond edge, and occasionally rise near the surface. Surround the pond with natural stones and mossy rocks of varied shapes and textures, grasses, a few plants and flowers, floating lily pads (some with blossoms), and at least one small stone lantern or similar garden detail. Lighting should be warm and soft, with believable shadows.

Interaction: clicking or tapping the water drops a few food pellets that splash, float and slowly sink; nearby koi notice them, swarm toward them and visibly eat them (each pellet disappears when a fish reaches it), then disperse. At least two frogs sit on lily pads; clicking or tapping a frog makes it leap in an arc to another pad or into the water with a splash and rings of ripples. Clicking the water anywhere also sends out ripples. The camera can be orbited gently with a drag and zoomed within limits, but must not flip under the ground.

Build it as ONE self-contained HTML file with inline CSS and JavaScript. You may load three.js (and its addons) from a public CDN via an import map or script tag; no other external requests (no image, texture, model or audio files): make every texture and shape in code (procedural canvas textures, shaders or geometry). It must work when opened directly from disk in a current desktop or mobile browser, support both mouse and touch, fit the window responsively, keep a smooth frame rate, and run without console errors. Output ONLY the complete HTML file, starting with <!DOCTYPE html> and ending with </html>, with no explanation or markdown fences.

How it was made

Wall time 2m 40s

Step by step

The prompt, every agent turn and tool call (tool name and a one-line summary; inputs and outputs are not shown), then the final message. The full machine-format transcript is published as a scrubbed download.

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Download the full transcript raw API response, 36 KB. Scrubbed: anything that looks like a key, token, e-mail address or phone number is replaced, and account details and the test machine's file paths are removed.

Cost breakdown

No cost figure: the run's tokens were never reported, so there is nothing to estimate from.

Tokens by typeTokens$ per 1MCost
Input (uncached)443n/an/a
Cache write0n/an/a
Cache read0n/an/a
Output20,478n/an/a
Total computed from tokens
unknown
Total reported by the harness
none

Run notes

raw one-shot (one call, no tools, no self-review)effort high