AI Model Reviewer

gpt-6.1-sol in Codex CLI 0.156.1

skills off

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Poster frame of gpt-6.1-sol's page
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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 dolly zoommax effortNeutral harness

Wall time 28m 12sCost not recorded: the run's token counts were never reported, so there is no estimate

Review

No verdict yet.

The full review

OK. Finished on its own after 28.2 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, 1,291 characters. Every result for this prompt

Build a short cinematic camera study in Three.js that demonstrates a dolly zoom, the 'vertigo' shot. A lone figure stands at the end of a long corridor lined with repeating columns, doors and ceiling lights. Over the shot the camera physically travels backward along the corridor while its field of view narrows at the matching rate, so the figure stays exactly the same size and position on screen while the corridor behind it visibly stretches away and then snaps back. Light it with cold overhead fluorescents and a faint fog. Ease the move in and out, then reverse it so the loop closes. 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 28m 12sFirst artifact at 7m 20s4 saved versions

Versions saved during the run

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

Version 4 of 4
  1. Version 1 at 7m 26s thumbnailv1 7:26
  2. Version 2 at 15m 02s thumbnailv2 15:02
  3. Version 3 at 20m 20s thumbnailv3 20:20
  4. Version 4 at 24m 26s thumbnailv4 24:26

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

Show all 73 steps

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Download the full transcript Codex CLI rollout JSONL, 86 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

No cost figure: the run's tokens were never reported, so there is nothing to estimate from.

Tokens by typeTokens$ per 1MCost
Input (uncached)17,553n/an/a
Cache write84,963n/an/a
Cache read1,876,438n/an/a
Output59,043n/an/a
Total computed from tokens
unknown
Total reported by the harness
none

No harness total and no complete list-price estimate. No list price for gpt-6.1-sol in config/prices.json; no estimate computed.

Run notes

one prompt, agentic harness (self-review allowed)labelled re-run (of cine_dolly_zoom__codex__gpt-6.1-sol-fast)

  • frozen prompt (written): video_house_skill/mr_cinematography_tests.json (sha256 b69c15a6...38b) 'prompt' field verbatim; Cinematography set (Dolly zoom (vertigo effect)) copy at prompts/cine_dolly_zoom.md (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: outside paths seen