AI Model Reviewer

Claude Opus 5.5 in Claude Code 2.1.280

skills off

← Open in the gallerySame prompt, all models

Stopped by us

We ended the run ourselves before any output. Not a model failure.

Stopped by usJellyfishmax effortNeutral harness

Wall time 43m 00sCost $6.81 reported

Generation timelapse

Video ready to play

Generation timelapse (the agent's screen during the run, sped up). This is not the finished video. Download video (350 KB).

Review

No verdict yet.

The full review

Stopped by us. Stopped by us (box row cap reached (2879s); stopped by the box lane so the run ships as partial); not a model failure.

Attempt 1 of 2

Every try of this model in this harness on this prompt, oldest first. A later attempt is the cell's result: attempt 2.

  1. Attempt 1 Stopped by us this run43m 00s$6.812026-09-26
  2. Attempt 2 OK the cell's result2h 30m$27.012026-09-29

Scores

Not scored: only runs that finished on their own are scored.

Downloads

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

The exact prompt

as run, 1,367 characters. Every result for this prompt

Build a Three.js scene of a huge glowing jellyfish walking through a rainy city at night on very tall, thin, jointed legs, presented as a live disaster news broadcast. The jellyfish's translucent bell pulses with soft bioluminescent light, its tentacles sway beneath it, and each slow stride steps between the towers while rain streaks through the light and wet streets reflect neon signs and headlights. Frame it like a TV emergency broadcast: a main camera feed plus several smaller feeds from other angles (street level, a helicopter, a rooftop) that update as the creature moves; a HUD with a channel logo, a red LIVE badge, a scrolling news ticker, a clock and coordinates; and an event log panel that adds timestamped entries as the jellyfish crosses the city. Keep the mood tense and cinematic, with fog, flickering streetlights and flashing red and blue emergency lights. Everything is built in code from Three.js geometry, shaders and materials; no external models or textures. Build it as index.html (plus any local asset files you create) in the current directory. Three.js may load from a pinned CDN. You may serve it locally and open it in headless chromium (/usr/bin/chromium, software WebGL, no GPU) 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.

How it was made

Wall time 43m 00s

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.

Show all 23 steps

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Download the full transcript Claude Code session JSONL, 519 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

Headline cost $6.81, as reported by Claude Code (its own bill for the run). The list-price estimate from the token counts is $6.80.

Tokens by typeTokens$ per 1MCost
Input (uncached)38$4.00$0.0002
Cache write306,527$5.00$1.5326
Cache read1,487,119$0.20$0.2974
Output248,467$20.00$4.9693
of which reasoning228,777billed as output
Total computed from tokens
$6.7996
Total reported by the harness
$6.8065
Difference
computed $6.80 vs reported $6.81 (diff -0.01)

Claude Code 2.1.280 reported its own total; token counts x list prices shown beside it.

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

Run notes

one prompt, agentic harness (self-review allowed)prompt rewritten after the 2026-09-24 box losslabelled re-run (of threejs_jellyfish__claude-code__opus-5-5)

  • frozen prompt (rewritten): engine/prompts_rewritten/threejs_jellyfish.txt: written by us from the recorded description (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: outside paths seen