Claude Opus 5.5 in Claude Code 2.1.280
skills off
Zoom, inline player and more ways to view
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).
Wall time 16m 10sCost $1.91 estimated
Review
No verdict yet.
The full review
OK. Finished on its own after 16.2 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, 1,053 characters. Every result for this prompt
Build a single-page WebGL2 (no WebGPU) reaction-diffusion simulator (Gray-Scott) that grows coral/brain-like patterns on a 512x512 ping-pong framebuffer, rendered with a lit, height-shaded material and a slow orbiting camera over a 3D displaced plane (Three.js allowed). Include presets (coral, mitosis, worms, spots), a brush to seed chemicals, feed/kill sliders, and pause/reset. IDLE AUTO-PLAY: with no input it starts from a random seed, cycles presets every 12 s, and keeps the camera orbiting so a headless capture shows continuous growth. Single index.html, no build step, CDN imports only, 60 fps target. 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
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 $1.91, estimated from the token counts at list price.
| Tokens by type | Tokens | $ per 1M | Cost |
|---|---|---|---|
| Input (uncached) | 70 | $4.00 | $0.0003 |
| Cache write | 97,116 | $5.00 | $0.4856 |
| Cache read | 2,481,140 | $0.20 | $0.4962 |
| Output | 46,356 | $20.00 | $0.9271 |
| of which reasoning | 18,564 | billed as output |
- Total computed from tokens
- $1.9092
- 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
- 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: Three.js WebGLRenderer on WebGL2 (site/index.html line 107; WebGL2 check at line 100). Three.js 0.169.0 loads from the jsDelivr CDN (import map at line 35, three entries at lines 37-38), so the live demo needs network access. No WebGPU needed.
- No card video (the session capture has only 7 frames over 7 s): the card uses the 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.