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).

OKOne key rhythm runnerhigh effortNeutral harness

Wall time 19m 32sCost $3.07 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 19.5 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, 1,267 characters. Every result for this prompt

Build a complete single-file browser game (index.html, plain JavaScript and Canvas or Three.js from a CDN, no build step) controlled by ONE key only (Space, or tap on touch). One mechanic, deep execution: a neon runner on a looping track where pressing jumps, holding glides, and releasing on the beat gives a perfect-timing bonus. Procedurally generated levels that ramp difficulty, a synthesized WebAudio soundtrack whose beat the obstacles follow, particle effects on perfect hits, combo counter, score, best score in localStorage, and a game-over screen with instant restart. IDLE AUTO-PLAY: if no key is pressed for 3 seconds on the title screen, an AI demo player plays the game with near-perfect timing (and an occasional miss) so a headless capture shows real gameplay. Must render with Canvas 2D or WebGL (no WebGPU). 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 19m 32sFirst artifact at 9m 55s6 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 9m 58s thumbnailv1 9:58
  2. Version 2 at 15m 31s thumbnailv2 15:31
  3. Version 3 at 16m 22s thumbnailv3 16:22
  4. Version 4 at 17m 43s thumbnailv4 17:43
  5. Version 5 at 17m 53s thumbnailv5 17:53
  6. Version 6 at 18m 23s thumbnailv6 18:23

No transcript was delivered with this result.

Cost breakdown

Headline cost $3.07, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)70$4.00$0.0003
Cache write118,781$5.00$0.5939
Cache read3,862,816$0.20$0.7726
Output85,138$20.00$1.7028
of which reasoning44,757billed as output
Total computed from tokens
$3.0695
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 7 Three.js/WebGL 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: Canvas 2D (canvas getContext('2d') at site/index.html line 43); no libraries, no CDN and no external assets. No WebGPU or WebGL needed.
  • Card video: the run's own 8 s session capture of the AI demo player (79 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.