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).

OKShader hero background studiohigh effortNeutral harness

Wall time 11m 38sCost $2.24 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 11.6 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, 1,170 characters. Every result for this prompt

Build a single-file web page (index.html, no frameworks, plain WebGL2 or WebGPU) that serves as a landing-page hero background studio. It shows 5 animated full-screen shader backgrounds: mesh gradient, liquid metal, grainy aurora, dithered dots, and flowing noise lines. A left sidebar switches presets and exposes 4-6 live sliders per preset (speed, scale, colours, grain). Over the background sits a sample hero headline and CTA button so the result looks like a real product site. Include an 'Export' button that copies a self-contained HTML/GLSL snippet of the current preset with its settings. It must run smoothly at 60 fps and auto-cycle through the presets every 4 seconds when idle, so a screen recording shows all five. 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 11m 38sFirst artifact at 6m 14s6 saved versions

Versions saved during the run

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

Version 6 of 6
  1. Version 1 at 6m 16s thumbnailv1 6:16
  2. Version 2 at 7m 47s thumbnailv2 7:47
  3. Version 3 at 8m 12s thumbnailv3 8:12
  4. Version 4 at 8m 47s thumbnailv4 8:47
  5. Version 5 at 10m 44s thumbnailv5 10:44
  6. Version 6 at 11m 15s thumbnailv6 11:15

No transcript was delivered with this result.

Cost breakdown

Headline cost $2.24, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)52$4.00$0.0002
Cache write99,576$5.00$0.4979
Cache read2,406,850$0.20$0.4814
Output62,882$20.00$1.2576
of which reasoning26,126billed as output
Total computed from tokens
$2.2371
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 6 Three.js/WebGPU expansion; category threejs; idle auto-play/auto camera mode in prompt; engine threejs harness suffix appended; 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: plain WebGL2 (canvas.getContext('webgl2') at site/index.html line 701), with GLSL ES 3.0 shaders held as strings (lines 434 and 440); no libraries, no CDN and no external assets. No WebGPU needed.
  • Card video: the run's own 8 s session capture of the idle preset auto-cycle (56 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. 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.