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GPT-6 Sol in Codex CLI 0.156.1

skills off

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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).

OKCine noir low keymax effortNeutral harness

Wall time 8m 26sCost $1.34 estimated

Review

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The full review

OK. Finished on its own after 8.4 min.

Scores

AI judge

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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.
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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, 1,163 characters. Every result for this prompt

Build a short cinematic camera study in Three.js in the style of classic film noir, rendered in black and white. A detective in a hat and trench coat stands in a rain-slick alley at night under a single streetlamp; venetian-blind shadows from a window fall across a brick wall, cigarette smoke curls, and the rain glints in the lamp's cone. Use one hard key light, deep black shadows covering most of the frame and high contrast. The camera drifts in very slowly. The animation plays automatically, fills the window at 16:9, loops seamlessly every 8 seconds with no visible jump at the loop point, and shows a small unobtrusive caption in one corner naming the technique. Everything is built in code from Three.js geometry, shaders and materials; no external models or textures. Build it as a single self-contained index.html (inline CSS and JS) 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 8m 26sFirst artifact at 2m 42s7 saved versions

Versions saved during the run

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

Version 7 of 7
  1. Version 1 at 2m 45s thumbnailv1 2:45
  2. Version 2 at 5m 16s thumbnailv2 5:16
  3. Version 3 at 5m 51s thumbnailv3 5:51
  4. Version 4 at 6m 27s thumbnailv4 6:27
  5. Version 5 at 6m 47s thumbnailv5 6:47
  6. Version 6 at 7m 12s thumbnailv6 7:12
  7. Version 7 at 8m 08s thumbnailv7 8:08

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

Show all 127 steps

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Download the full transcript Codex CLI rollout JSONL, 87 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 $1.34, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)204$2.00$0.0004
Cache write78,620$2.00$0.1572
Cache read3,539,293$0.20$0.7079
Output47,817$10.00$0.4782
of which reasoning27,944billed as output
Total computed from tokens
$1.3437
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). No request above 272,000 input tokens (68 checked): standard rates.

Prices: Project price table, 2026-09-25.

Run notes

one prompt, agentic harness (self-review allowed)labelled re-run (of cine_noir_low_key__codex__gpt-6-sol)

  • frozen prompt (written): engine_prompts/cine_noir_low_key.txt verbatim (Cinematography set same sha256 as the queue rows)
  • 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: outside paths seen