AI Model Reviewer

GPT-6 Astra in Codex CLI 0.156.1

skills off

← Open in the gallerySame prompt, all models

GPT-6 Astra's output for Space bunny

▶ Open live demo

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Poster frame of GPT-6 Astra'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).

OKSpace bunnymax effortNeutral harness

Wall time 27m 34sCost $8.89 estimated

Snapshot 25 of 25 saved during GPT-6 Astra's run
  1. Snapshot 1 of 25 saved during GPT-6 Astra's run
  2. Snapshot 4 of 25 saved during GPT-6 Astra's run
  3. Snapshot 8 of 25 saved during GPT-6 Astra's run
  4. Snapshot 11 of 25 saved during GPT-6 Astra's run
  5. Snapshot 15 of 25 saved during GPT-6 Astra's run
  6. Snapshot 18 of 25 saved during GPT-6 Astra's run
  7. Snapshot 22 of 25 saved during GPT-6 Astra's run
  8. Snapshot 25 of 25 saved during GPT-6 Astra's run
Still frames from a low-frame-rate recording made during the run (under 12 fps, so not shown as video): 25 distinct frames.

Generation timelapse

Poster for generation timelapse

Generation timelapse (the agent's screen during the run, sped up). This is not the finished video. Download video (788 KB).

Review

No verdict yet.

The full review

OK. Finished on its own after 27.6 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, 1,435 characters. Every result for this prompt

Build a single Three.js page with five physics scenes and a scene switcher (buttons or tabs) to move between them; each scene can be restarted. 1) An explosion in a desert: a blast with a fireball, smoke, sand and debris thrown outward and falling back under gravity, and a shockwave rippling across the dunes. 2) A tornado: a funnel of swirling dust and debris over flat land that picks up small objects and spins them upward. 3) A balloon pop: a rubber balloon inflates, stretches and bursts, its fragments flying off and settling. 4) A water drop fall: a drop falls into still water, making a splash crown, a rebound jet, droplets and spreading ripples. 5) A Newton's cradle: five steel balls on strings where the end ball swings in and its momentum passes through the row, with believable collisions and slowly damped swinging. Make the motion physically believable (gravity, momentum, collisions, damping), light each scene well and label it. 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 27m 34sFirst artifact at 4m 38s4 saved versions

Versions saved during the run

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

Version 4 of 4
  1. v1 4:40
  2. v2 18:46
  3. v3 23:28
  4. v4 25:29

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 transcript is 4.8 MB; it is published as a scrubbed, compressed download rather than shown on the page.

Show all 77 steps

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Download the full transcript Codex CLI rollout JSONL, 113 KB, gzip. 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 $8.89, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)132$10.00$0.0013
Cache write133,374$10.00$1.3337
Cache read3,329,246$1.00$3.3292
Output84,421$50.00$4.2210
of which reasoning37,564billed as output
Total computed from tokens
$8.8854
Total reported by the harness
none

Computed from harness-reported token counts x list prices. Cache writes priced at the input rate (the price table has no separate cache-write price).

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_space_bunny__codex__gpt-6-astra)

  • frozen prompt (rewritten): engine/prompts_rewritten/threejs_space_bunny.txt: written by us from the recorded description (zero results)
  • plain CODEX_HOME copy (config.toml only, run work/ trusted; no AGENTS.md/skills/state)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Isolation audit: contamination