AI Model Reviewer

Claude Opus 5.5 in Claude Code 2.1.280

skills off

← Open in the gallerySame prompt, all models

Zoom, inline player and more ways to view
Poster frame of Claude Opus 5.5's page
Open the original page

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. It starts in its auto-tour (T switches to play mode on a keyboard).

OKImage to procedural threejs scenehigh effortNeutral harness

Wall time 37m 48sCost $6.03 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 37.8 min.

Scores

AI judge

Not scored

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, 1,368 characters. Every result for this prompt

Build a single-file web app (index.html, Three.js from a CDN, no build step) that turns a reference image into a procedural Three.js scene. Include 3 built-in reference images drawn procedurally on a canvas (a teapot on a table, a lighthouse on rocks, a red sports car) so no external files are needed. For the selected reference, analyse the image's dominant colours and silhouette, then assemble the object from primitives (boxes, cylinders, lathe and extrude geometry) with matching materials, lighting and a ground plane. Show the reference image and the 3D result side by side, with a slider that morphs from a flat "pixel cloud" of the image into the finished 3D model. Add an "Export GLB" button using GLTFExporter. IDLE AUTO-PLAY: with no input, cycle through the 3 references every 8 seconds, animating the pixel-cloud-to-model morph and slowly orbiting the camera. Must render with WebGLRenderer (no WebGPU required). Save the main page as index.html in the current directory (plus any local asset files you create), with no build step. You may serve it locally and open it in headless chromium (/usr/bin/chromium, software WebGL, no GPU, no WebGPU) to screenshot and inspect your own output, and iterate on your own before finishing. Close any browser you open as soon as you've taken your screenshot. Finish with a short README.md describing the controls.

How it was made

Wall time 37m 48sFirst artifact at 18m 55s10 saved versions

Versions saved during the run

10 intermediate outputs, in the order the model wrote them.

No transcript was delivered with this result.

Cost breakdown

Headline cost $6.03, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)478$4.00$0.0019
Cache write242,790$5.00$1.2140
Cache read9,157,100$0.20$1.8314
Output149,295$20.00$2.9859
of which reasoning89,905billed as output
Total computed from tokens
$6.0332
Total reported by the harness
none

Computed from harness-reported token counts x list prices.

Prices: Project price table (vendor list prices), 2026-09-22.

Run notes

one prompt, agentic harness (self-review allowed)

  • frozen prompt (written): X-idea prompt queue (frozen in prompts_queue), MR wave 8 Three.js/WebGL expansion; category threejs; idle auto-play mode in prompt; WebGL-renderable; engine threejs harness suffix appended (the source's own 'Deliver site/index.html' sentence dropped as the suffix carries the save location); zero results
  • plain wave-1-equivalent cc_config copy (settings.json + .claude.json; no ECC files)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Context setting: 1M ([1m] model name)
  • Isolation audit: none
  • Renderer: Three.js WebGLRenderer (site/index.html line 599). Three.js 0.169.0 loads from the jsDelivr CDN (import map at line 53, three entries at lines 55-56), so the live demo needs network access. No WebGPU needed.
  • Card video: the run's own 8 s session capture of the idle auto-play reconstruction (33 frames, 1280x720, headless Chromium, no GPU), re-encoded as H.264. Poster: the run's own render.png.
  • Same frozen prompt as the Codex CLI + GPT-6 Sol row (image_to_procedural_threejs_scene__codex__gpt-6-sol__attempt1). The two configurations differ (Claude Code at effort high, Codex at effort max) and both rows are unscored, so the pair is not a head-to-head result.