AI Model Reviewer

GPT-6 Astra in Codex CLI 0.156.1

skills off

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GPT-6 Astra's SVG for BMW M4 Competition, side view (flat vector)

OKBMW M4 Competition, side view (flat vector)xhigh effortHome harness

Wall time 5m 58sCost $1.09 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 6.0 min and produced bmw_m4.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), 441 characters. Every result for this prompt

Create a clean SVG illustration of a BMW M4 Competition in a side view. The image must follow a 4:3 aspect ratio. Use the original factory color of the BMW M4 Competition. Focus on coupe proportions and sporty stance. Use vector shapes without gradients. Save it as bmw_m4.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

Wall time 5m 58sFirst artifact at 4m 37s1 saved version

Versions saved during the run

1 intermediate output, in the order the model wrote them.

Version 1 of 1
  1. Version 1 at 4m 43s thumbnailv1 4:43

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 16 steps

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Download the full transcript Codex CLI rollout JSONL, 142 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 $1.09, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)27,887$10.00$0.2789
Cache read104,986$1.00$0.1050
Output14,118$50.00$0.7059
of which reasoning5,361billed as output
Total computed from tokens
$1.0898
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

one prompt, agentic harness (self-review allowed)wave 3

  • Verbatim; the post's five lines are joined with spaces so the prompt pastes into every TUI as one message.
  • 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