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GPT-6 Sol in Codex CLI 0.156.1

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GPT-6 Sol's output for Cine silhouette backlight

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OKCine silhouette backlightmax effortNeutral harness

Wall time 14m 31sCost $2.77 estimated

Review

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The full review

OK. Finished on its own after 14.5 min.

Scores

AI judge

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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.
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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, 1,126 characters. Every result for this prompt

Build a short cinematic camera study in Three.js that demonstrates silhouette lighting. A figure walks slowly toward a huge bright doorway (or a window onto a blazing sunset) in a dark warehouse, with haze in the air so the light pours in as visible beams. The only strong light is behind the figure, so the figure reads as a solid near-black shape with a thin bright rim, with no detail visible on the side facing the camera. 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 14m 31sFirst artifact at 2m 27s24 saved versions

Versions saved during the run

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

Version 24 of 24
  1. Version 1 at 2m 29s thumbnailv1 2:29
  2. Version 2 at 2m 39s thumbnailv2 2:39
  3. Version 3 at 3m 25s thumbnailv3 3:25
  4. Version 4 at 4m 20s thumbnailv4 4:20
  5. Version 5 at 4m 45s thumbnailv5 4:45
  6. Version 6 at 5m 31s thumbnailv6 5:31
  7. Version 7 at 5m 36s thumbnailv7 5:36
  8. Version 8 at 5m 46s thumbnailv8 5:46
  9. Version 9 at 6m 26s thumbnailv9 6:26
  10. Version 10 at 6m 31s thumbnailv10 6:31
  11. Version 11 at 6m 51s thumbnailv11 6:51
  12. Version 12 at 7m 37s thumbnailv12 7:37
  13. Version 13 at 8m 27s thumbnailv13 8:27
  14. Version 14 at 8m 37s thumbnailv14 8:37
  15. Version 15 at 9m 23s thumbnailv15 9:23
  16. Version 16 at 9m 53s thumbnailv16 9:53
  17. Version 17 at 10m 59s thumbnailv17 10:59
  18. Version 18 at 11m 29s thumbnailv18 11:29
  19. Version 19 at 11m 44s thumbnailv19 11:44
  20. Version 20 at 12m 04s thumbnailv20 12:04
  21. Version 21 at 12m 25s thumbnailv21 12:25
  22. Version 22 at 12m 45s thumbnailv22 12:45
  23. Version 23 at 13m 21s thumbnailv23 13:21
  24. Version 24 at 14m 22s thumbnailv24 14:22

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

Show all 188 steps

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Download the full transcript Codex CLI rollout JSONL, 134 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 $2.77, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)261$2.00$0.0005
Cache write144,820$2.00$0.2896
Cache read7,686,722$0.20$1.5373
Output94,471$10.00$0.9447
of which reasoning60,996billed as output
Total computed from tokens
$2.7722
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 (87 checked): standard rates.

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

Run notes

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

  • frozen prompt (written): engine_prompts/cine_silhouette_backlight.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