GPT-6 Astra in Codex CLI 0.156.1
skills off
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Wall time 8m 28sCost $1.45 estimated
Review
No verdict yet.
The full review
OK. Finished on its own after 8.5 min and produced brown_pelican.svg.
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
agentic harness (save the file; self-render allowed), 561 characters. Every result for this prompt
Generate an SVG of a California brown pelican riding a bicycle. The bicycle must have spokes and a correctly shaped bicycle frame. The pelican must have its characteristic large pouch, and there should be a clear indication of feathers. The pelican must be clearly pedaling the bicycle. The image should show the full breeding plumage of the California brown pelican. Save it as brown_pelican.svg in the current directory. You may render and inspect your own output (headless chromium is available at /usr/bin/chromium) and iterate on your own before finishing.
How it was made
Versions saved during the run
2 intermediate outputs, in the order the model wrote them.
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 19 steps
Loading the timeline…
Download the full transcript Codex CLI rollout JSONL, 200 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 $1.45, estimated from the token counts at list price.
| Tokens by type | Tokens | $ per 1M | Cost |
|---|---|---|---|
| Input (uncached) | 34,355 | $10.00 | $0.3436 |
| Cache read | 205,640 | $1.00 | $0.2056 |
| Output | 17,921 | $50.00 | $0.8961 |
| of which reasoning | 6,003 | billed as output |
- Total computed from tokens
- $1.4452
- Total reported by the harness
- none
Tokens from the Codex rollout token_count events (Codex prints no dollar figure); reasoning is part of output.
Prices: Project price table; OpenAI Standard tier, requests whose prompt is >272K tokens bill at 2x input/cache and 1.5x output (applied per request where per-request usage is logged), 2026-09-22.
Run notes
- A well-known benchmark author's detailed pelican prompt, verbatim from the image alt text of the post (his own comment in brackets after it left out).
- per-request tiering: requests with a prompt above 272K tokens billed at 2x input/cache, 1.5x output
- Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
- Isolation: bwrap: private /tmp, HOME and TMPDIR inside run dir, own CLAUDE_CONFIG_DIR/CODEX_HOME copy; the project files, other runs, /tmp/hx_* not mounted